275 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 relates to the technical field of digital public services, in particular to a digital public service integration platform and device based on intelligent recommendation and a medium. The method comprises the following steps: firstly, collecting and analyzing basic information and behavior data of a user in real time through a user portrait construction module, and constructing a multi-dimensional user feature vector; secondly, performing structured processing on the government affair service data by using a service feature extraction module, and extracting a service association relationship and scene features; then realizing accurate matching of the user feature vector and the service feature matrix based on an intelligent recommendation engine; and finally, continuously collecting user feedback and dynamically adjusting a recommendation strategy through a real-time feedback optimization module. According to the method, scene-based precise pushing of the government affair service is realized, a continuous optimization mechanism of the recommendation effect is established, the recommendation strategy can be dynamically adjusted according to the user characteristics and behaviors, and the intelligent level and user experience of the government affair service are remarkably improved.

The invention provides an intelligent POB module integration platform and a control method thereof, and the method comprises the steps: detecting the state data of each pixel point of an LED display screen through an optical sensing array, obtaining a damaged pixel point in the LED display screen, recording the damaged pixel point to a storage unit, and maintaining a dead pixel position table in the storage unit; compensating the brightness of the bad pixel points through the neighborhood pixel points; the display content of the LED display screen is predicted through AI during compensation, and the refresh rate of the LED display screen is dynamically driven according to the predicted display content; according to the physical pixel density, the LED display screen is divided into grid partitions, the grid partitions are sorted according to priorities, the real-time power consumption of each partition is calculated after the LED display screen is refreshed, and if the real-time power consumption is larger than a preset threshold value, the current and the duty ratio of the low-priority area are reduced. Through the control method, a compensation scheme can be started in time after a dead pixel occurs, the maintenance and replacement cost is reduced, and the operation and maintenance efficiency is improved.

Techniques for application deployment that include: determining an integrated platform application definition for an integrated platform application; determining an integrated platform application programming interface (API) for the integrated platform application; selecting a set of platform application modules to be integrated into the integrated platform application; generating, based on the application modules selected and the platform API, the integrated platform application, the integrated platform application operable to: obtain, for each of two or more platform applications corresponding to a platform application of the set of platform application modules selected, application results data for the user generated by the platform application; consolidate the application results data obtained to generate a consolidated results report for the user; and present, via a platform user device associated with the user, the consolidated results report for the user; deploying, in response to determining that the integrated platform application test results satisfy threshold testing criteria, the integrated platform application.

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.

Conventional error detection for integration processes in an integration platform are inefficient and require significant expertise. Accordingly, an error prediction model is disclosed. The error prediction model may be operated to produce error predictions, based on the current design (e.g., lineage) of an integration process, during construction of that integration process (e.g., on a virtual canvas). A generative language model may also be used to provide the error predictions in natural language. This enables the efficient troubleshooting and resolution of errors in an integration process, prior to that integration process being deployed and executed, and without requiring significant expertise.

The invention discloses a video acquisition method and device based on modular low coupling, and relates to the technical field of video processing. The method comprises the following steps: initializing a video processing system, creating a unified system resource management interface, and realizing centralized management of video acquisition, encoding, decoding, OSD control and NPU push modules; based on a modular design principle, video acquisition, coding, decoding, OSD control and NPU push functions are packaged into independent modules, and data interaction between the modules is realized through a standardized interface. The video processing system is modularly designed, and a unified standardized interface is provided, so that the effect of greatly reducing project code coupling is achieved, a developer does not need to pay attention to underlying logic when calling the interface, and module function independence is guaranteed; by means of the modular interface design, developers can rapidly integrate platform functions, development work can be completed without deeply knowing the whole code library, and therefore the project development efficiency is improved.

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 relates to the technical field of data processing, and provides an API calling method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: receiving an API access request sent by a data provider; analyzing a request parameter in the API access request to obtain at least one request field and a field value corresponding to each request field; determining a request entry parameter based on each request field, the field value corresponding to each request field and the data type of each field value; calling a target API of the data receiver based on the request incoming parameter, so as to send the request incoming parameter to the data receiver; the request input parameter is used for indicating the data receiver to execute the service logic matched with the request input parameter. According to the method and the device, time does not need to be wasted in connection adaptation of the data provider and the downstream data receiver, that is, the low-code integration platform only needs to analyze the API access request to automatically generate the request entry parameter capable of calling the target API, so that API calling is quickly realized, and the API calling efficiency is improved.

The invention relates to an intelligent hospital management system based on clinical scientific research integration, and the system comprises a clinical scientific research integration platform which is provided with a special disease database data service module which is used for integrating patient clinical data with a patient as a center; the special disease database data service module comprises a special disease scientific research data center which is used for storing high-quality multi-dimensional structured patient data processed by an artificial intelligence technology; the regional decision application module is used for collecting multi-hospital-area data and carrying out hospital diagnosis and treatment and multi-dimensional analysis of medication data; the regional collaborative application module is used for realizing medical resource sharing of multiple hospital areas; and the regional multi-center-line image integration module is used for acquiring image system data of a plurality of courtyards and realizing sharing and mutual recognition. According to the invention, multi-center medical data integration and scientific research collaboration are realized, and the collaborative work and collaborative diagnosis and treatment efficiency is improved.

The invention discloses a water supply network optimization scheduling system based on clustering grouping and Cauchy variation, and belongs to the field of water supply network optimization scheduling. Through a multi-dimensional comprehensive optimization algorithm, an intelligent water consumption prediction model, a self-adaptive pressure partitioning technology, an intelligent pump station collaborative scheduling system, a comprehensive cost-benefit analysis tool, real-time data-driven dynamic scheduling, an interdisciplinary technology fusion platform and an environment-friendly scheduling strategy, the intelligent pump station collaborative scheduling system and the comprehensive cost-benefit analysis tool are integrated. The intelligent and automatic management of the water supply pipe network is realized through the innovation points of intelligent control, automatic operation, modularized and extensible software architecture and the like; data are collected in real time by using the Internet of Things technology, high-precision water consumption prediction is performed in combination with a deep learning model, and the water supply efficiency is optimized and the operation cost is reduced by dynamically adjusting pressure partition and pump station collaborative scheduling; green energy is preferentially used, new function integration is supported through modular design and an extensible framework, the system adapts to the requirements of different regions and pipe networks, and the long-term sustainable development capacity of the system is improved.

The invention provides an advertisement full-link data integration platform and method, electronic equipment and a storage medium, and relates to the technical field of data processing. The platform comprises a data acquisition module used for acquiring platform data from an advertisement platform and an attribution platform, the platform data comprising advertisement data, attribution data and user behavior data; the putting optimization module is used for analyzing the advertisement effect of the advertisement on each advertisement platform based on the advertisement data and optimizing the advertisement budget distribution of each advertisement platform according to the advertisement effect; the user interaction module is used for constructing user portraits based on the user behavior data, generating recommended advertisements for corresponding users based on the user portraits and pushing the recommended advertisements to the users; the effect evaluation module is used for analyzing the advertisement data and the attribution data based on an attribution model, and generating an advertisement putting strategy based on an analysis result; and the data display module is used for visually displaying the full-link data of the advertisement and generating a delivery effect report of the advertisement. According to the invention, the advertisement putting effect is optimized.

The invention discloses an oil and gas pipeline intelligent security integrated platform and a multi-system linkage method, particularly relates to the technical field of pipeline safety monitoring, and is used for solving the problems of vibration characteristic drift and misjudgment caused by long-term stress accumulation of a pipeline in an existing security system. According to the method, a self-adaptive vibration feature library is constructed by dynamically sensing a pipeline stress state and a microcrack propagation signal, and the influence of stress interference on monitoring data is eliminated in combination with a time domain alignment and propagation path correction technology; based on real-time fusion of multi-node vibration data and stress distribution data, an energy judgment threshold weight distribution proportion is dynamically adjusted, a threat level is evaluated through an AI classification model in combination with stress distribution characteristics, and a collaborative response instruction matched with the state of a pipeline stress concentration area is generated. The environmental adaptability and the emergency response reliability of the security and protection system are improved, and dynamic collaborative optimization of safety monitoring and multi-system linkage in the whole life cycle of the pipeline is achieved.

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 provides a flat wrecker structure multi-objective optimization method based on an improved NSGA-II algorithm, and the method comprises the steps: carrying out the finite element static analysis of a to-be-optimized structure under all working conditions through ANSYS, and determining all optimizable parts and the most dangerous working conditions thereof; for each optimizable part, generating a. Wbpj file by using ANSYS, the. Wbpj file being used for determining a sample point of each optimizable part under the most dangerous working condition according to a design variable and a value range thereof; for each optimizable part, establishing an input file, an optimization file and an output file by using a numerical calculation and programming tool; for each optimizable component, ANSYS and numerical calculation and programming tools are integrated using a design and optimization integration platform. The invention provides a flat plate wrecker structure multi-objective optimization method based on an improved NSGA-II algorithm. The flat plate wrecker structure multi-objective optimization method is used for solving the problems that in the prior art, a flat plate wrecker is unreasonable in structural design, low in material utilization rate, large in self weight, not capable of achieving multi-objective optimization and the like.

The invention discloses a commodity display digital show window and digital travel scene AI fusion platform, and relates to the technical field of digital travel, and the platform comprises a scenic spot collection module, a model construction module, a multi-person cooperation and interaction platform module, a digital commodity display module, a rendering and cloud computing module, and a data security protection module. The scenic spot acquisition module collects scenic spot data; through digital commodity display and digital travel scene construction, scenic spots and commodities can be displayed in a virtual space, the scenic spots and the commodities are displayed in a virtual display area through three-dimensional data and environment information collected by a scenic spot collection module in combination with a modeling technology, immersive and interactive shopping experience is provided for users, and the user experience is improved. The computing resources are dynamically adjusted through the rendering and cloud computing module, the rendering priority is optimized, the image quality and the rendering efficiency are improved through a modern graphic API, and the fluency and the visual effect of a virtual scene are improved.

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.

The invention provides a three-dimensional fusion data processing and management method and system. The data processing and management method comprises the following steps: constructing an operation settlement system platform in data connection with an external business system, and performing classified management according to the type of an operation settlement business; an operation accounting system platform is constructed, operation management is carried out according to four business functions of operation planning, operation accounting, operation analysis and operation evaluation, and integrated state monitoring is carried out on the operation accounting system platform; a financial accounting system platform is constructed, operation management is carried out according to four business functions of financial budget, financial accounting, financial analysis and financial evaluation, and integrated state monitoring is carried out on the financial accounting system platform; the external business system data, the operation settlement system platform data, the operation accounting system platform data and the financial accounting system platform data are integrated to the business, economic and financial three-dimensional integration platform, and a data core billboard for business management, operation management and financial management is formed.

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 embodiment of the invention provides a test method, an operating system, a continuous integration platform, equipment, a medium, a program product and a vehicle. The method is applied to a continuous integration platform, and a service code, a unit test code, a test case, a unit test framework, a vehicle-mounted operating system, a compiling script and a test script are deployed on the platform. The method comprises the following steps: running a compiling script to obtain an executable file; the executable file comprises a compiled service code, a unit test code, a unit test framework, a test case and a vehicle-mounted operating system; the business code is a to-be-tested code; the service code is applied to a vehicle-mounted operating system; the unit test code is used for verifying correctness of the business code; the unit test code is written according to the unit test framework; running the test script to enable the test script to test the service code by running the executable file to obtain a test result; the test script is written according to a test case, and the test case is used for representing the purpose and steps of the test.