212 results about "Integration platform" patented technology

The invention relates to the technical field of water affair pipe network operation and maintenance, in particular to an intelligent analysis processing and decision support method for mass data of an intelligent water affair integrated platform based on a GIS (Geographic Information System) and the Internet of Things. According to the method, GIS topology and data of the internet of things are fused, the problems that the estimation deviation of the influence range of traditional pipe explosion is large, and the valve closing instruction lacks accuracy are solved, and the valve closing effectiveness is verified. The pipe explosion emergency response efficiency is improved, the water resource waste is reduced, the water supply stability is guaranteed, and the method is suitable for urban water refinement management.

The invention relates to the technical field of software development tools, and discloses a micro-application generation system and method based on natural language interaction, and the system comprises four core components: a natural language understanding module, a demand modeling module, a code generation engine and a deployment and integration platform. The natural language understanding module generates structured semantic representation through intention recognition, entity extraction and context analysis; the demand modeling module constructs a data model, a process logic and an interface prototype based on the semantic representation, and optimizes model parameters by utilizing reinforcement learning; the code generation engine generates a cross-platform code of the micro-service architecture through template matching and modularization assembly; and the deployment and integration platform realizes seamless integration of the external system and the Internet of Things equipment through a standardized interface. According to the method, the problems that a traditional low-code platform depends on visual dragging operation, demand analysis is rough and cross-domain adaptation is insufficient can be solved.

The invention provides an underground comprehensive pipe gallery intelligent operation and maintenance management system based on BIM, and relates to the technical field of building information, and the system comprises a three-dimensional integration module which is used for constructing a three-dimensional digital integration platform of an underground comprehensive pipe gallery at a cloud end, uploading full life cycle data, ownership unit information and real-time operation parameters of the communication pipeline to a cloud central database, distributing a unique code for each pipeline unit, and establishing a corresponding cloud index relationship; and the space correction module is used for presetting three positioning monitoring nodes at the main inlet of the pipe gallery, the ventilation key node and the pipeline intersection based on the three-dimensional digital integration platform, constructing a stable triangular positioning monitoring architecture, calculating the geometric center and side length relation of the monitoring architecture through the three-dimensional coordinates of the three positioning monitoring nodes, and correcting the three-dimensional coordinates of the three positioning monitoring nodes according to the three-dimensional coordinates of the three positioning monitoring nodes. And generating a space topology correction value. According to the invention, the safety of the operation and maintenance of the underground comprehensive pipe gallery is realized by integrating the whole life cycle data of the pipe gallery, spatial positioning, intelligent risk early warning and multi-department cooperative linkage.

The invention relates to an effect advertisement integration platform and method, and relates to the field of e-commerce marketing technology, and the platform comprises an information obtaining module which is used for obtaining to-be-marketed product information; the intelligent material engine module is used for analyzing the to-be-marketed product information to generate initial delivery content; the preliminary putting module is used for receiving the initial putting content and putting the initial putting content to different advertisement platforms; the data tracking module is used for acquiring behavior data of the initial delivery content and analyzing the behavior data to generate behavior attribution data and real-time conversion data; the dynamic price adjustment module analyzes the real-time conversion data to generate a real-time advertisement bid; and the putting management module is used for receiving the initial putting content, the behavior attribution data and the real-time advertisement bid, adjusting the initial putting content according to the behavior attribution data and the real-time advertisement bid so as to generate actual putting content, and putting the actual putting content to the advertisement platform. The method has the effect of improving the operation and management efficiency.

The invention relates to the technical field of coal mine test equipment, in particular to a one-stop automatic test integration platform and a test method for coal mine application software. The one-stop automatic test integration platform comprises an executable test case construction module, an automatic test execution module and a test result management module. According to the automatic test platform and the test method, the functions of test management, system safety penetration, software automatic test, source code static analysis, system performance test, localization adaptation test and the like are integrated; the problem that in the prior art, it is difficult to comprehensively cover all function combinations and abnormal conditions by manually compiling test cases is solved, and the test omission ratio is remarkably reduced; centralized management and correlation analysis of data in each link in the testing process are realized through the data centralized management module, so that the testing efficiency is improved, and the problem positioning is more accurate and rapid; a standardized testing process is integrally formed, and software quality and compliance are guaranteed through all-around testing means.

The invention relates to the technical field of communication, in particular to a dynamic service scheduling method for a 5G new call based on intelligent semantics, which realizes efficient scheduling of 5G call services through three core steps of multi-operator fusion access, dynamic routing distribution and intelligent voice interaction. According to the method, a unified SIP trunk line integration platform is constructed, and network resources of three major operators are integrated; respectively designing routing strategies for low-concurrency and high-concurrency scenes from the dimensions of network quality, cost rate, compliance, link load and the like, and dynamically optimizing path selection through a weight algorithm; and intelligent analysis and interaction of voice semantics are realized by combining ASR, TTS and NLP engines. According to the method, the problems of cross-operator routing optimization, high-concurrency processing and compliance management are solved, and the method is suitable for scenes with high requirements on stability and compliance, such as finance and government affairs.

The invention discloses a rock identification method and equipment based on geological semantic guidance, and a medium, belongs to the technical field of geological rock detection and identification, and is used for solving the problems that blindness and redundancy exist in a feature fusion process, and the efficiency is high due to lack of effective modeling of geoscience features in existing rock target detection. And the identification requirements of complex geological images are difficult to adapt. The method comprises the following steps: performing semantic analysis on effective data in multi-source geological original data under related rock characteristics to generate a geological semantic map; performing feature fusion processing under related feature mapping between the geological semantic map and the feature pyramid to obtain a target fusion feature under the current rock image; performing collaborative recognition based on visual features on rock physical attributes in the current multi-source geological data, and outputting target detection features under the current rock image; outputting a geological rock classification result of the current rock image; and carrying out visualization processing on the geological rock classification result under the integrated platform.

The invention relates to the technical field of nondestructive testing, in particular to a multi-modal-based steel box girder complex weld defect detection system which comprises a multi-modal data acquisition module, a data processing and intelligent identification module and a control and integration platform. The multi-modal data acquisition module comprises an ultrasonic phased array probe, an X-ray imaging sensor, a visual imaging subunit and a positioning unit, and is used for synchronously acquiring ultrasonic, ray, visual images and spatial position information of a welding seam; the data processing and intelligent identification module is used for carrying out space-time registration and feature level fusion on the multi-modal data and realizing defect identification, positioning and quantification by utilizing a deep learning model; and the control and integration platform drives the movement mechanism to realize automatic scanning and provides result visualization and digital twin interfaces. According to the invention, the detection precision, efficiency and reliability of the internal and surface defects of the complex structure of the steel box girder can be improved.

The invention relates to the field of aviation human factor engineering and state monitoring, and particularly discloses a pilot cognitive load real-time monitoring system based on multi-modal data, which comprises multi-modal data acquisition, dynamic preprocessing and time-space synchronization, adaptive feature extraction, a cognitive load intelligent calculation engine, and a multi-dimensional visual early warning and distributed collaborative integration platform. The multi-modal data acquisition module obtains four types of data and dynamically optimizes the precision; carrying out differential denoising on the preprocessing module and the space-time synchronization module; the adaptive feature extraction module extracts multiple types of features and performs weight adjustment and screening; the cognitive load intelligent calculation engine uses a hybrid model to adaptively adjust parameters and predict a trend; the multi-dimensional visual early warning module provides a load curve, a dynamic threshold adjustment value and multi-stage early warning; the distributed collaborative integration platform supports encryption transmission and cross-system docking. The method solves the problem that the prior art depends on subjective evaluation and single physiological indexes and cannot monitor the cognitive state of the pilot in real time, and realizes high-precision, high-adaptability and high-timeliness monitoring.

The invention discloses an industrial network protocol integration platform realized based on JavaWeb. Comprising a protocol adaptation layer used for carrying out adaptive connection with each hardware interface, a service management layer used for carrying out configuration management and task scheduling optimization, an edge computing layer used for realizing data filtering and event triggering, and a cloud collaboration layer used for realizing big data storage and AI model reasoning prediction. The signal output end of the protocol adaptation layer is connected with the signal input end of the service management layer, the signal output end of the service management layer is connected with the signal input end of the edge computing layer, and the signal output end of the edge computing layer is connected with the signal input end of the cloud collaboration layer. Equipment instructions of different protocols are uniformly converted into a standard data format and packaged into a TCP / IP protocol for transmission, meanwhile, conversion of cross-platform protocols such as OPC UA is supported, and the multi-protocol compatibility problem of the industrial Internet of Things is solved.

Techniques for webhook registration are disclosed, including: receiving, by an integration platform, a metadata document associated with a producer, wherein the metadata document describes (a) a set of conditions for identifying webhook validation requests and (b) a set of one or more operations for validating webhook validation requests; instantiating, by the integration platform, an adapter based on the metadata document; determining, by the integration platform using the adapter, that a request from a producer satisfies the set of conditions for identifying webhook validation requests; responsive to determining that the validation request satisfies the set of conditions for identifying webhook validation requests: executing the set of one or more operations for validating webhook validation requests, to validate a registration of a consumer with the producer.

The invention discloses an air travel plan and service customization system, and particularly relates to the technical field of big data, the air travel plan and service customization system comprises a user terminal module, an intelligent travel planning engine and a service integration platform, and the user terminal module is connected to the intelligent travel planning engine and the service integration platform through the Internet. A travel demand and a current position of a user are obtained through a travel preference input module and a positioning module of a user terminal module, a dynamic scheme is generated in combination with a flight dynamic database, a hotel resource pool and a scenic spot ticket API under an intelligent travel planning engine, and after the user confirms a travel, the travel demand and the current position of the user are obtained. The service integration platform synchronously books air tickets and hotels and generates electronic certificates, when flights are delayed, alternative traffic scheme calculation is automatically triggered, travel nodes are dynamically connected to map navigation service, and the travel state of a user is updated in real time.

The invention discloses a simulation test method and system, electronic equipment and a computer program product. According to the scheme, a to-be-verified model is established according to obtained system demand information; according to the system demand information and the to-be-verified model, generating a simulation test instruction, sending the simulation test instruction to the modular integration platform, enabling the modular integration platform to drive different connected simulation test devices to perform simulation test according to the simulation test instruction, and feeding back simulation test data; evaluating and analyzing the simulation test data according to the system demand information, and determining an evaluation result; a verification model is established according to system demand information, then a simulation test instruction is generated, different simulation test devices connected with the modular integration platform are driven through the modular integration platform, and simulation testing on the system level is carried out; scheduling and cooperative work of different simulation test devices are achieved, the cooperative work degree of the different devices is improved, and the simulation test efficiency is improved; the embodiment of the invention can be widely applied to the technical field of computer simulation testing.

The invention belongs to the technical field of enterprise informatization management and big data integration, and particularly relates to an enterprise informatization management integration platform based on big data. Comprising an auditing element unified structured acquisition module, a main body unique identifier analysis and failure closed loop module, a caliber version and field mapping version joint locking module and an evidence index binding and consistency verification packaging module. The platform reads interface and field mapping from a service system log according to a configuration table, normalizes the interface and field mapping and writes the interface and field mapping into an event account book collocation state; executing main body gating on the original entry record to generate a main body identifier and writing back the main body identifier; when failure occurs, the reason code is written and blocked, and the failure evidence index is returned; performing node analysis on the aperture script and generating an aperture chain fingerprint; and serializing the event segments, calculating abstracts, constructing batch abstract roots, positioning first inconsistent serial numbers when recalculation is inconsistent, and scheduling and supplementary collection, so as to output a recheckable audit evidence packet. According to the invention, aperture consistency and evidence traceability can be realized.

A recommendation engine that utilizes artificial intelligence to suggest integration processes for an integration platform is disclosed. The recommendation engine may utilize clustering to identify and suggest pre-built integration processes that have been implemented by similarly situated organizations on an Integration Platform as a Service (iPaaS) platform. In addition, an explanation model may be used to generate an explanation for each suggested pre-built integration process. The suggestions and explanations, which may be automatically provided to a user, may be visually represented in a graphical user interface that allows a user to easily and immediately implement each suggested pre-built integration process on their own integration platform.

The invention discloses a vehicle and road cloud system data anomaly detection method, a control device, a vehicle and a program product. The method comprises the steps of dynamically collecting a vehicle and road cloud system operation data set; inputting the vehicle and road cloud system operation data set to an anomaly detection integration platform, performing data anomaly detection through the anomaly detection integration platform, and outputting an anomaly detection result corresponding to each anomaly detection item; and the anomaly detection integration platform comprises a hierarchical detection system corresponding to each anomaly detection item. According to the invention, automatic data anomaly detection of the vehicle-road cloud system can be realized based on the anomaly detection integrated platform, the problems of cross-domain anomaly relevance deficiency, long debugging period and difficulty in fault positioning of the vehicle-road cloud system are solved, the data anomaly detection efficiency and accuracy of the vehicle-road cloud system are improved, and the method can be widely applied to the technical field of data detection.

The invention discloses a data integration method, system and device, a storage medium and a program product, and relates to the technical field of enterprise application integration, and the method comprises the steps: receiving a data access interface and a debugging command defined by a user based on an SQL template through an integration platform of an SaaS end, and the debugging command is issued to a front service client of an enterprise local system through a secure communication channel. And the front service client constructs an actual SQL statement according to the debugging command in combination with the input and output parameters in the SQL template, and executes and returns debugging result information to the integrated platform for display when accessing the database. And after the user confirms that the SQL interface information is correct, the platform issues the SQL interface information to the front service client for analysis and storage. According to the scheme, efficient and safe data integration between the old enterprise system and the SaaS application is achieved through an integrated architecture based on cooperation of a remote debugging mechanism of an SQL template and a safe data channel.

The invention relates to the technical field of physician cultivation, in particular to a matching method for layered progressive cultivation targets of resident physicians. Comprising the following steps: 1, constructing a physician-based dynamic ability diagram model; 2, cultivating target networked modeling; 3, constructing a heterogeneous data integration platform; 4, reinforcing a learning engine; by constructing a physician-based dynamic ability diagram model and a heterogeneous data integration platform, multi-source data are automatically collected and fused from each information system of a hospital, the system not only analyzes theoretical results, but also introduces 360-degree agile feedback, performs quantitative evaluation from multiple dimensions such as clinical knowledge, skill proficiency, occupational attainment and the like, normalizes and dynamically weights all indexes, and improves the accuracy and reliability of the system. And finally, a personal ability thermodynamic diagram which can be updated in a real-time rolling manner is generated, so that objective, comprehensive and fine description of the ability state of a physician and with the times is realized, and a reliable data foundation is laid for accurate cultivation.

The invention discloses a bridge pile foundation design auxiliary system based on three-dimensional geologic modeling, and relates to the technical field of bridge engineering design, the system comprises the following components: a data acquisition module, a three-dimensional geologic modeling module, a digital twin construction module, a simulation analysis module, a life prediction and strategy making module and a data integration platform; according to the invention, a plurality of modules such as a data acquisition module, a three-dimensional geological modeling module, a digital twinborn body construction module, a simulation analysis module, a service life prediction module and a strategy making module are integrated, so that the full-life-cycle management of the bridge pile foundation from design, construction to operation and maintenance stages is realized; the system can simulate the mechanical response and performance attenuation process of the pile foundation in different service scenes, a scientific maintenance strategy and residual service life prediction are provided for the bridge pile foundation in combination with the life prediction and strategy making module, and the safety and reliability of the bridge pile foundation are improved through the full-life-cycle management mode.

The invention discloses a distributed building data real-time monitoring device and system, and relates to the technical field of data real-time monitoring, and the device comprises a plurality of distributed monitoring devices which are arranged at key monitoring point positions inside and outside a building, and an edge calculation module which is integrated in each distributed monitoring device and is used for carrying out the local preprocessing of collected original data, the wireless communication network is used for realizing bidirectional data transmission between the monitoring devices and the cloud server; the cloud data integration platform is used for receiving and storing data uploaded by all the monitoring devices; the early warning and decision module is used for judging the risk level of a building in real time based on an evaluation report; the distributed building data real-time monitoring device and the distributed building data real-time monitoring system support users to remotely check real-time monitoring data, historical trends and early warning records, the distributed building data real-time monitoring device and the distributed building data real-time monitoring system compress risk response time to a second level, construct closed-loop management from data acquisition and analysis to emergency linkage, and finally achieve an effect that an early warning mechanism effectively restrains disasters.

The application provides an enterprise informatization management integrated platform based on big data, which is constructed based on a Hadoop distributed computing framework, integrates MapReduce parallel processing, Spark real-time computing, HDFS distributed storage and other technologies, realizes data parallel processing through a swarm intelligence algorithm and a pheromone transmission mechanism, carries out heterogeneous data mapping by using a hierarchical self-encoding network, realizes resource dynamic scheduling in combination with a biological cell division mechanism and an entropy value balance mechanism, optimizes storage management by using adaptive grid partitioning and data temperature layering technology, and constructs multi-scale feature fusion and knowledge reasoning based on Spark MLlib to support decision analysis. The platform overcomes problems in traditional enterprise informatization management, such as low data processing efficiency, limited system expansion and difficult data sharing, and provides reliable technical support for enterprise digital transformation.

The present application relates to the field of communication technology, and more particularly to a 5G new call dynamic service scheduling method based on intelligent semantics, which realizes efficient scheduling of 5G call services through three core steps of multi-operator fusion access, dynamic routing distribution and intelligent voice interaction. The method constructs a unified SIP relay line integrated platform to integrate the network resources of three major operators; from the dimensions of network quality, cost rate, compliance and link load, routing strategies are designed for low-concurrency and high-concurrency scenarios respectively, and the path selection is dynamically optimized through a weight algorithm; and the intelligent analysis and interaction of voice semantics are realized in combination with ASR, TTS and NLP engines. The method solves the problems of cross-operator routing optimization, high-concurrency processing and compliance management, and is suitable for scenarios such as finance and government affairs that require high stability and compliance.

A disclosed method may include identifying, by a mobile operator with clients for which an independent mobile telecommunication enhancement operation provides a mobile telecommunication enhancement, a mapper file that specifies how to customize outbound communication messages based on a data serialization language specification file for the independent mobile telecommunication enhancement operation.

The present invention relates to the technical field of electronic digital data processing, and in particular to a training and evaluation system for a space launch site. The system comprises an instructor platform, an integrated platform for simulation training devices, and a video monitoring platform. The instructor platform includes an integrated training scenario setting module, an instruction module, and an evaluation module. In this solution, task parameters and process logic are customized through the instructor platform, the simulation training device provides highly simulated equipment operation feedback, and the video monitoring platform collects behavioral data without blind spots, forming an integrated "training-execution-evaluation" management and control system. Based on a time node partitioning algorithm, an equipment state vector model, and a weighted average evaluation algorithm, the system quantitatively analyzes trainees' operational accuracy (such as mean square error compared to equipment status), timeliness (task node completion time deviation), and collaboration ability (task allocation matrix tracking role performance), thereby addressing the subjectivity and lag issues of traditional evaluation.

The embodiment of the invention provides a visual editing system based on a LabVIEW platform, and the system comprises a project management module which is used for carrying out the creation, deletion, selection and loading operation of a visual algorithm project, and an image collection and display module which is used for displaying an intermediate result and a final result of an image in a processing process. The visual operator module is used for providing various visual operators for a user to call in the form of a graphical component, a bottom visual processing function of the LabVIEW platform is integrated in the graphical component, and the algorithm step module is used for receiving a selection instruction of the user for the visual operators from the visual operator module. According to the method, a user selects a plurality of visual operators, an editable visual algorithm process formed by the plurality of visual operators is recorded according to the order of the selection instruction, the system separates the visual algorithm process constructed by the user from a program source code and stores the visual algorithm process as a structured configuration file, and field personnel can directly debug, store and call an algorithm without modifying codes. And the maintainability and the flexibility of the system are obviously improved.

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.

The embodiment of the application provides a kind of integrated platform, modular plug-in integration method, equipment and storage medium, the platform includes plug-in registration portal, check module, registration module and control center, plug-in registration portal is configured with standard interface rule, registration information from modular plug-in can be received in plug-in registration portal, check module can carry out compliance check to registration information, and generate check result, registration module connects the modular plug-in of check through with platform, and control center encapsulates the business capability in modular plug-in. By configuring standard interface rule in plug-in registration portal, and carrying out compliance check to modular plug-in, the codeless or low code access of modular plug-in is realized, without modifying platform core code, the problem of long cycle in related art architecture integration is solved.

The invention discloses a data access method. The method can be applied to an integration platform. When a user wants to access a first application program deployed in an intranet through an extranet, a proxy server deployed in the extranet obtains a data access request, and the data access request is used for requesting to access application data in the first application program. The proxy server packages the data access request to obtain a first message, and the first message is a transport layer message and comprises the data access request. And then, the proxy server sends the first message to a proxy client deployed in an intranet, so that the proxy client parses the first message and then sends the obtained data access request to the first application program. Visibly, through the scheme, the proxy server side and the proxy client side can interact through the transmission layer, the proxy client side does not need to pay attention to an application layer protocol, the communication complexity between the extranet and the intranet is simplified, and therefore the convenience that the extranet accesses the intranet is improved.

A method for providing an integrated platform for secure product labelling, verification, and enforcement includes the steps of providing multiple first labels and multiple second labels aimed at labelling multiple products to be labelled, verified and protected; providing an online platform to be used by one or more enforcement agencies for monitoring activities of each product of the multiple products in the market, receiving complaints or reports directly from consumers and getting data analysis reports pertaining to the multiple products, and, supporting multi-agency collaboration activities. In use, the information sharing between agencies will become easier, thereby increasing their work efficiency.

The application provides an interface stability evaluation method and device, electronic equipment and a storage medium. The method obtains interface running data of a target interface in a preset period; interface index data of the target interface is counted according to a first period according to all the interface running data; the interface index data in a second period is clustered to obtain abnormal interface index data and an abnormal period point; a current abnormality ratio of the interface index data is determined according to the number of the abnormal period points and the number of the first period corresponding to the interface index data in the second period, and then a current stability score of the target interface is determined to evaluate the stability of the target interface. The running data generated in the interface running process is processed and analyzed, the visibility of the interface running condition is improved, the potential risks of the interface are found before the abnormality occurs, and when the method is applied to an application integration platform, the overall running stability of the platform and the business system carried by the platform can be improved.