153 results about "Multiple platform" patented technology

The invention discloses a multi-platform-oriented intelligent interface adaptation and rendering optimization method and system, and belongs to the technical field of interface rendering. The method comprises the following steps: firstly, acquiring and analyzing interface description information, and extracting hierarchical structures and constraint relationships of interface elements to obtain abstract description features; performing adaptive layout mapping based on the environment characteristic parameters of the target platform, and dynamically adjusting space occupation and display priorities under the constraint of keeping the relative position relationship of interface elements unchanged to obtain a layout scheme after platform adaptation; determining resource consumption nodes according to interface element distribution characteristics, and determining a layered rendering strategy by analyzing visibility states and updating frequency characteristics; applying the layout scheme and the rendering strategy to a rendering execution process to generate output; and collecting performance feedback data to adaptively update a space occupation and rendering strategy. According to the method and the device, automatic adaptation and rendering performance optimization of the cross-platform interface are realized, and the multi-platform interface rendering efficiency and the user experience are improved.

The invention discloses an intelligent timed task configuration and multi-mode feedback system based on natural language interaction, and relates to the field of industrial automation control, enterprise-level task scheduling management and instant messaging. The system comprises a natural language interaction module, a user natural language instruction is converted into structured semantic information through a BERT + BiLSTM + CRF mixed architecture, and lightweight processing is achieved in combination with TinyBERT distillation; the dynamic task arrangement module completes task creation, modification and the like based on structured information, completes missing parameters through historical task mode matching, and supports multi-session real-time synchronization; the rich media report generation module generates a multi-mode report containing charts, tables and the like, and the RAG technology and large model interpretation are combined; and the multi-channel pushing adaptation module adapts multiple platforms by adopting a strategy and factory mode. According to the system, the task configuration efficiency and flexibility are improved, the feedback form is enriched, the information pushing accuracy is guaranteed, and the exception handling capacity is enhanced.

The invention relates to the technical field of block chains, in particular to a block chain multi-platform data credible management method and system based on a user portrait, and the method comprises the steps: carrying out the multi-platform data collection, obtaining a plurality of original user data sets, carrying out the encryption processing of the original user data sets, obtaining an encrypted user data set, carrying out the block packaging processing of the encrypted user data set, and carrying out the block packaging processing of the encrypted user data set. Performing consensus verification on the block to be subjected to consensus encryption to obtain an on-chain encryption block; performing feature extraction on the on-chain encryption block to obtain a user feature data set; performing feature division on the user feature data set to obtain a user feature type set; performing portrait construction based on the user feature type set to obtain a user portrait; and obtaining a portrait access standard, and according to the portrait access standard, performing authorization judgment by using the data access authorization unit. According to the method and the device, the problem of low data credibility in the current management process of the multi-platform data of the block chain can be solved.

Efficient generation of multi-platform compatible source code and test code with consistency and quality in software development SOLUTION: The schema-driven development system includes a user input unit, a schema generation unit, and a code generation unit, wherein the user input unit acquires data in various formats such as a natural language and a CSV file, the schema generation unit converts the acquired data into a schema, and the code generation unit generates a source code and a test code based on the generated schema.SELECTED DRAWING: Figure 1

The invention discloses an advertisement putting ROI dynamic optimization method and system based on real-time data driving. The method comprises the steps of collecting advertising data such as advertisement display quantity, click quantity, conversion quantity and consumption cost in a minute-level period through a multi-platform data interface; based on historical and real-time data, utilizing a machine learning model to predict the rate of return on investment (ROI) of each advertisement platform in a future time period; constructing an optimization problem with the overall ROI maximization as a target under the constraint of the total budget, and solving an optimal budget allocation strategy of each platform in each time period through an optimization algorithm; and synchronizing the budget allocation strategy to an advertisement platform for execution through an automatic control module, and recording ROI changes before and after optimization by a monitoring module to realize iterative updating of the model. Compared with the prior art, data acquisition, prediction and optimization can be completed in a minute-level period, dynamic allocation and rolling optimization of advertisement budget are realized, the overall ROI is effectively improved, putting waste is reduced, and the method is suitable for a multi-platform advertisement scene.

The invention relates to the technical field of cross-platform collaboration of an ERP (Enterprise Resource Planning) system, in particular to an ERP operation method for realizing cross-platform collaboration, which comprises a data conversion module, a protocol adaptation module, a task scheduling module and a resource allocation module. The data conversion module unifies heterogeneous data formats, the protocol adaptation module analyzes communication protocols, the task scheduling module dynamically adjusts task priorities, and the resource allocation module coordinates calculation and storage resources. According to the method, through improvements of a weight distribution algorithm, dynamic mapping updating, security verification, load balancing and the like, data integration and task collaboration among multiple platforms are optimized. The flexibility and adaptability of the system can be improved, the technical threshold is reduced, and the efficient and intelligent operation requirement of enterprises is met.

The invention discloses an offshore rocket self-lifting platform dynamic scheduling method based on cooperative intelligence, and the method comprises the following steps: constructing a plurality of platforms into an intelligent unit capable of autonomously responding to a task, and carrying out the dynamic marshalling through a cooperative mechanism, so as to achieve the self-adaptive matching between the task and the platform. In the method, multiple indexes are introduced as scheduling targets, weight parameters are dynamically adjusted according to real-time tasks, resources and environment information, and the scheduling flexibility is improved. And generating a scheduling strategy through a learning optimization mechanism, and controlling platform task allocation, path planning and execution time sequence. In the execution process, a scheduling strategy and a platform marshalling structure can be updated in time according to environment disturbance and task state changes, and smooth execution of tasks and stable cooperation of the platform are ensured. The method is suitable for a multi-task and high-frequency emission scene.

The present disclosure according to at least one embodiment provides a passkey management method for a multi-platform environment, the method being performed by a computing device. The method comprises in response to receipt of a passkey generation request from a passkey agent installed on a first terminal based on a first platform, generating a first passkey usable on multiple platforms, and transmitting the first passkey to the first terminal, in response to receipt of a passkey list request from a passkey agent installed on a second terminal based on a second platform, different from the first platform, providing information regarding a registered passkey list to the second terminal, and in response to receipt of a request for the first passkey, among passkeys included in the registered passkey list, from the passkey agent of the second terminal, transmitting the first passkey to the second terminal.

The invention discloses a cross-platform teaching tool data collaboration and personalized resource recommendation system based on an MCP protocol, and belongs to the technical field of education. According to the system, a multi-platform teaching tool is in unified butt joint through the MCP protocol adaptation layer, and the problem of data splitting is solved; the data co-processing layer cleans and fuses multi-tool data, generates a teacher / student / parent data view and stores an evidence through a block chain; the personalized recommendation engine generates role-based resource recommendation based on a teaching knowledge graph and multi-dimensional behavior analysis; the user interaction layer supports multi-terminal access, and the data security module guarantees compliance. According to the system, the cross-platform data collaboration efficiency is improved by 70% or above, the resource recommendation matching degree reaches 92%, the system is suitable for K12 education, higher education and vocational education scenes, teaching tool data barriers are effectively broken through, and the teaching data utilization rate and the resource recommendation accuracy are improved.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface.

The invention provides a cross-platform brain-computer interface normal form system suitable for natural state monitoring, and the system comprises a cross-platform development module which achieves the operation of a set of codes on a plurality of platforms through an owner-drawing engine; the task integration and expansion module is used for integrating various brain-computer interface normal form tasks; establishing a local material library management mechanism, and performing association configuration on task types and stimulation materials through a data configuration file; according to the multimedia precise synchronous control module, an asynchronous programming mechanism and a timer function of a Flutter are adopted, when audio and video materials are played or ended, a hardware circuit or streaming data of an electroencephalogram collecting device, a physiological multi-guide instrument or a network camera is labeled, alignment of multi-device and multi-modal data is achieved, and the multi-device and multi-modal data are integrated. Generating a task log containing a timestamp mark; and the natural stimulation task module is used for incorporating a task for simulating a natural scene into a brain-computer interface normal form. And a brain-computer interface system which gives consideration to cross-platform consistency and flexible configuration of natural scene tasks is provided.

Systems and methods translate and govern directives across heterogeneous platforms. In some embodiments, directives are normalized into a common intermediate representation (CIR) for validation, conflict handling, and deployment. In other embodiments, a direct semantic mapping engine converts source directives directly into target-native, machine-executable directives without a CIR and without normalization, consulting a platform capability database and synthesizing target-compatible scripts, profiles, workflows, or rules where native primitives are absent. Ephemeral triggers (e.g., time window, incident, risk, posture, geofence) cause generation and atomic activation of temporary directives that supersede baseline directives for a defined scope and interval, with withdrawal on expiry to restore the baseline. Adapters actuate across families including cloud control planes, operating systems (Windows / macOS / Linux), IoT / OT, Kubernetes, identity, email / DLP, browser, and SaaS / social platforms. Both approaches share validation, simulation, and governance / deployment engines supporting approvals, audit logging, staged rollout, rollback, and continuous feedback.

The invention discloses a logistics early warning management and automatic processing system and method based on multiple platforms and multiple shops, and relates to the technical field of e-commerce logistics management, and the system comprises a data collection and processing module which is used for carrying out the butt joint of order management systems of multiple e-commerce platforms through a standardized interface, obtaining the order logistics data of each shop in real time, and sending the order logistics data to a server; the original logistics data are cleaned, analyzed and standardized, and are aggregated and stored to the unified data storage module according to the dimensions of shops, platforms and logistics providers. According to the logistics early warning management and automatic processing system and method provided by the invention, comprehensive integration and unified display of logistics information are realized through integration of multi-platform order data, the tedious problem of cross-platform information viewing of merchants is solved, the operation requirements of different merchants are flexibly adapted through self-defined early warning rules and an intelligent grading mechanism, and the logistics early warning management and automatic processing system and method are high in practicability. The accuracy of abnormity identification is improved, logistics business work orders are automatically connected, and the abnormity processing flow is greatly simplified.

The invention discloses an enzyme activity optimization and dynamic screening method based on collaboration of multiple computing servers, belongs to the field of computational biology and enzyme engineering, and realizes collaborative design of multiple platforms by integrating technical advantages of online and local computing servers such as FireProt 2.0, PROSS, Rosetta and FoldX 4.0. Mutation design is carried out from multiple dimensions of structure prediction, evolution conservative property, energy calculation and the like, and a potential mutant library is constructed; a multi-condition screening strategy is used, and a mutant with high potential is screened out through visual inspection, conservative analysis and multi-method cross validation, so that invalid design is avoided; molecular dynamics simulation and MM / GBSA binding free energy decomposition are further combined for dynamic binding analysis, the influence of mutation on the substrate binding strength is quantified, and the stability and reliability of mutation effect prediction are remarkably improved.

The invention provides a system software joint member business mode implementation system supporting cross-platform account intercommunication, and relates to the technical field of computer software. According to the system, through an account intercommunication module, a joint member management module, a data linkage module, a merchant collaboration module, a user interaction module, and a newly added right and interest monitoring sub-module and a newly added right and interest adjustment notification sub-module, the problems that existing cross-platform software accounts are isolated, member right and interest management is loose, merchant collaboration is low in efficiency and user right to know is insufficient are solved. According to the invention, the core is to realize cross-platform intercommunication of accounts based on unified identity authentication, provide joint membership services of one account, clear rights and interests and accurate notification for users in combination with dynamic rights and interests combination, real-time rights and interests monitoring, intelligent revenue splitting and an active notification mechanism, and help merchants to operate accurately, reduce risks and improve the user experience. And finally, three-party value optimization and ecological win-win of multiple platforms, merchants and users are realized.

The invention relates to the technical field of data storage, and discloses a multi-platform dirty disk performance consistency testing method for a solid state disk, which comprises the following steps: acquiring configuration information of a to-be-tested solid state disk and recording a SMART data baseline; the method comprises the following steps: initializing a solid state disk, performing steady-state preprocessing in an empty disk state of the initialized solid state disk, and recording performance data at the moment as an empty disk reference; filling the dirty disk proportion of the solid state disk to a target value in a sequential or random write-in mode, applying a corresponding dynamic load model under the dirty disk proportion, and continuously performing performance sampling, recording performance data and generating a performance attenuation curve; and starting a CPU pressure test, a memory bandwidth test and a GPU load test at the background while running the solid state disk performance benchmark test. According to the SSD performance compatibility testing method and system, cross testing is carried out on two mainstream platforms of AMD and Intel, and the performance compatibility of the SSD in different system environments can be systematically evaluated.

This application discloses a unified management method and system for heterogeneous signing platforms with multi-protocol adaptation. The method includes: receiving signing requests through a unified signing interface and determining the target signing platform type according to a routing strategy; calling the corresponding adapter from multiple platform adapters registered in a pluggable manner according to the target signing platform type; converting standardized request parameters into the calling format and authentication method of the target platform's native interface and initiating a signing task by calling its API; mapping standardized signing capabilities to the signing capabilities actually supported by the target platform; using a dual-channel mechanism combining active query and passive callback to synchronize the signing status of the target platform to a unified state machine in real time; and converting the signed document and evidence chain returned by the target platform into a unified format and sending it back to the core service layer for archiving. Implementing the embodiments of this application can achieve unified access, scheduling, and management of multiple heterogeneous signing platforms, reducing the technical complexity of multi-platform integration.

This invention discloses a method and system for data fusion of multi-platform commercial outlets based on multi-source heterogeneous data. It relates to the field of data processing technology. The method involves acquiring commercial outlet data from multiple platforms and performing validity verification to generate an initial data foundation for each platform; extracting outlet coordinate information and performing a unified format conversion to obtain a coordinate-standardized commercial outlet dataset; constructing a multi-industry knowledge graph and an industry-wide common affix library; using algorithms to remove common name affixes and retain core feature identifiers to generate a feature-identified dataset; constructing a similarity algorithm to extract multiple features of outlets, calculate their similarity separately, and fuse them to obtain an overall similarity, generating a similarity matching result set; and identifying and removing duplicate data from multiple platforms based on the matching results to generate a full dataset of multi-source fused commercial outlets. Compared to traditional fusion methods, this method achieves accurate feature identification and quantitative determination of duplicate data, improving the completeness and accuracy of the fused data and making more efficient use of computing power.

The application discloses a hypertext page rendering method and device, electronic equipment and storage medium, the method comprises the following steps: in response to the cross-platform application starting instruction, generating the hypertext page rendering request of the target application, and obtaining the web page code information of the target application corresponding to the hypertext page rendering request from the management server, the web page code information is analyzed, and the second hypertext object structure corresponding to the preset rendering frame is generated based on the first hypertext object structure in the code analysis result, the rendering is carried out based on the second hypertext object structure, and the hypertext page is obtained. The method can improve the consistency and smoothness of the hypertext page rendering on multiple platforms, so that the user can obtain the same experience when opening the hypertext page and opening the native page, and the user has no perception.

A management device manages one or more platforms, each having a storage device including one or more volumes, and stores: a policy table defining a policy concerning a volume as a resource and a copy policy concerning copy to define an operation of copying data to the resource; an operation origin table defining an operation origin in the platform where the operation is performed; and a state table for maintaining states of the operation origin. The processor extracts a combination of the resource and the operation from a combination of the policy concerning the volume and the policy concerning the copy. The processor identifies the operation origin from the combination of the resource and operation and determines whether the operation origin is normal, and determines whether the combination of the policies concerning the volume and the copy causes a failure on the operation origin determined to be abnormal.

A big-data view integration platform generates integration guided user interfaces (GUIs). A first edge node ingests push-based and pull-based data from a plurality of platform services, which include legacy and non-legacy services having incompatible communication protocols. An event-based queue receives from the first edge node a plurality of queue events as indirect push-based data. A second set of queue events includes direct push-based data as received directly from a non-legacy platform service. A conformity component integrates the push-based data, the pull-based data, and the plurality of queue events into integration data having an enhanced integration format. A view integration component generates a plurality of data views from the integration data. A second edge node exposes the plurality of data views via an access services application programming interface (API). A new service execution component accesses the access services API to generate integration GUIs based on the data views.

A method and system for publishing products on multiple platforms. The method includes: determining, in response to a platform determination instruction, ports of e-commerce platforms corresponding to the platform determination instruction; obtaining initial product data in response to a first publishing instruction, and generating first publishing information based on the initial product data; identifying the initial product data based on a preset model to generate second publishing information; detecting a blank mandatory item related to product attributes in a publishing page of each of the e-commerce platforms, and setting a preset sequence option of the blank mandatory item as third publishing information; and sending the first publishing information, the second publishing information, and the third publishing information to the ports of the e-commerce platforms to publish a product corresponding to the initial product data on each of the e-commerce platforms.

Systems and techniques may generally be used to receive, at a server, from an agent device of an agent, a first login request to access a first routing platform separate from the server. An example technique may include authenticating the agent device, requesting a first session start with the first routing platform, receiving, from the first routing platform, a first response, and sending to the agent device a first indication that the first login is complete. The example technique may include receiving, from the agent device, a second login request to access a second routing platform separate from the server and separate from the first routing platform, requesting a second session start with the second routing platform, receiving, from the second routing platform, a second response to the second session start request, and sending, to the agent device, a second indication that the second login is complete.

The invention relates to the technical field of data security, in particular to a distributed collaborative organization platform-oriented multi-platform data security sharing method, which comprises the following steps of: acquiring throughput, packet loss and average time delay of each platform at each moment in each monitoring period; obtaining the registration duration of each user on each platform, and counting the interaction time of business interaction between each user and each platform in a preset interaction time period and the total number of times of business interaction in the interaction time period; acquiring to-be-transmitted data of each user in real time; screening out each communication platform corresponding to each user; determining an interaction evaluation value, transmission stability and communication reliability; constructing a communication topology directed graph; and selecting an initial node of the data sharing path, obtaining the data sharing path, carrying out cross-platform communication transmission, and carrying out data security sharing on multiple platforms. According to the invention, the integrity and confidentiality of data in a multi-platform transmission process are improved, and data loss and security threats are reduced.

This invention relates to the field of inventory management technology and discloses a cross-border e-commerce supply chain multi-platform collaboration and dynamic inventory forecasting management system. The system includes: a data acquisition unit that processes field formats, time granularity, and unit systems based on the heterogeneous data protocols of various cross-border e-commerce platforms, and indexes the processed data using timestamp numbers and platform codes; a structure fusion unit that resamples the data from each cross-border e-commerce platform based on the timestamp numbers in the acquired dataset, and merges records of the same product across multiple platforms based on the product code; a sequence parsing unit that segments the cumulative sales field according to the window span based on the fused structure matrix, and constructs a sequence feature chain based on the feature vectors of each segment; and a trend inference unit that performs difference calculations on the current inventory quantity based on the predicted sales quantity, and determines the replenishment quantity based on the result of the difference calculation. This invention ensures multi-platform collaboration and inventory adaptability to the market.

The application discloses a payment method for a platform-based shared purchase vehicle-mounted APP, adopts distributed development, and through cooperation of multiple platforms, can be adapted to different vehicle models, performs different payment management on different vehicle models, and effectively relieves data load of a cloud platform and a vehicle-mounted terminal during configuration; the cloud platform can record purchase of the APP by a user in time, so as to guarantee real-time performance of data, avoid a problem that the user has purchased the APP but cannot use the APP due to poor network, and simultaneously, different callback interfaces are provided for the vehicle-mounted terminal according to different payment modes, so as to set different purchase paths according to different APPs.

The application provides a multi-platform data real-time synchronization method and device, electronic equipment and storage medium. The method comprises: obtaining events generated by user operations and platform data changes; analyzing the events and forming event information; classifying the event information, generating a synchronization task based on the classification result, and establishing a task queue using the synchronization task; obtaining a synchronization task related to user access from the task queue, deploying a prediction model on an edge node close to the user according to user behavior characteristics and historical access data in the synchronization task; obtaining a synchronization task related to key data changes from the task queue, executing a distributed consensus protocol on the key data changes, and reaching an agreement on the update status of the key data among multiple platform nodes; and distributing the update status confirmed by the consensus to multiple platform nodes. The application can reduce delay, improve data synchronization accuracy, reduce load, and improve real-time and consistency of data synchronization.

The application discloses a binary optimization method supporting multiple platforms, which comprises the following steps: step one, starting a target application load in a process, collecting and analyzing program dynamic behavior information in the process; step two, taking the program dynamic behavior information obtained in step one and the target application load as inputs, disassembling corresponding binary codes, optimizing the binary codes, and outputting the application load after the optimization is completed; and step three, replacing the code of the original application load with the code of the optimized application load, so as to realize online code replacement. The application further discloses a system for realizing the binary optimization method, which comprises a program dynamic behavior information collecting module, an offline binary optimization module and an online code replacement module. The application further discloses application of the binary optimization method or the binary optimization system in optimization of multiple-platform binary codes.

To facilitate cooperation among a plurality of platforms.SOLUTION: A cooperation apparatus includes a cooperation unit for associating a management ID of a first platform through which an operator conducting a business entity accepts reservations for accommodation facilities from customers with a management ID of a second platform used by the operator for fund procurement, and a presentation control unit for controlling presentation of information to an operator device operated by the operator. The cooperation unit further associates a management ID of the accommodation facility with the management ID of the second platform, and the presentation control unit displays, on a display screen of the first platform, an operation screen for associating the management ID of the accommodation facility with the management ID of the second platform.SELECTED DRAWING: Figure 7

The embodiment of the present application provides a kind of data processing method and device, the method comprises: obtaining the first resource consumption data of one or more platform type applications provided;Wherein, the one or more platform type applications are the application that can provide service to multiple service objects, and each platform type application includes one or more application objects for service object to call;According to the first resource consumption data, the second resource consumption data of each application object is determined;According to demand dimension, the target application object called is determined, and according to the second resource consumption data of the target application object, the third resource consumption data of the demand dimension is determined.Through the embodiment of the present application, it is realized that resource consumption is allocated according to the use condition of platform type application, can be suitable for more detailed resource allocation demand, and then resource control can be better, improve resource utilization.