50 results about "Data adapter" patented technology

A system for monitoring hemodynamic status of a patient can include a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and / or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.

The invention relates to the technical field of industrial internet data processing, in particular to a cross-platform multi-source data integration analysis method and system based on the industrial internet, and the system comprises a data collection layer, a data preprocessing layer, a data integration layer, a data storage layer, an intelligent analysis framework, an application layer and a data security layer. Through the data adapter and middleware technology, efficient collection and integration of multi-source heterogeneous data are achieved, multiple data sources and communication protocols are supported, the compatibility and expansibility of the system are improved, and the system can rapidly adapt to different industrial scenes and data source changes; according to the method, advanced big data and artificial intelligence technologies are applied, a specific analysis model for industrial production is combined, deep analysis can be performed on the data, potential values in the data are mined, an accurate analysis result is provided for equipment fault prediction and production process optimization, and the intelligent level of industrial production is improved.

The invention relates to the technical field of digital twinning, in particular to a real-time interactive visualization system and method based on digital twinning, and the system comprises a data collection module which is used for configuring a multi-protocol adapter deployed on a physical equipment layer to collect the operation data of physical equipment, and transmitting the operation data of the physical equipment to an edge computing node. According to the method, the general data adapter is used for driving the three-dimensional rendering engine to execute real-time rendering based on physics, so that the virtual scene can dynamically reflect details such as illumination change and material aging of a physical entity, and high-fidelity visual feedback is provided. According to the method, a closed-loop control mechanism is established in combination with a multi-modal interaction framework, pure data monitoring is converted into operable bidirectional interaction, operation of a user on a visual interface can be converted into feedback instructions in real time to reversely adjust physical equipment, and the response efficiency of remote operation and maintenance is improved.

The invention belongs to the technical field of cross-border logistics information credibility management, and discloses a cross-border logistics information credibility management method based on block chain and dynamic hash chain evidence storage, and the method comprises the steps: deploying a multi-modal data adapter, integrating a lightweight MobileViT model and a category exclusive feature template, extracting a key frame through a video, and generating a feature package; after sensor data is subjected to Kalman filtering processing, a timestamp and a numerical sequence are output; a historical feature library is compared through an LSH algorithm, repeated features are filtered, evidence storage redundancy is avoided, unstructured data features are associated with structured data such as customs clearance numbers, accurate data correspondence during traceability is ensured, and a verification result is real and reliable; for a temporary checking scene, a temporary node generates a temporary permission containing a 24-hour validity period, and a corresponding Hash unit can only be verified and cannot be accessed after expiration, so that an illegal data access risk is completely eradicated, subsequent verification is prevented from being influenced by excessive permission recovery, and data security and credible verification requirements are balanced.

The invention discloses a four-layer progressive mind map generation system which comprises an input module which can receive input of various document formats, supports simultaneous receiving of multiple documents and adopts a multi-source heterogeneous data adapter to unify the formats; the hierarchical preprocessing module is connected with the input module, receives the converted DOCX document data, and performs hierarchical feature enhancement and hierarchical rule configuration on the data; the bimodal processing module fuses a hierarchical driving structured extraction mode and a large language model generation mode, the hierarchical driving structured extraction mode constructs a hierarchical incidence matrix and the like, and the large language model generation mode provides task instructions and the like; and the structured output module is used for providing multi-format conversion, mind map downloading and interaction functional components. The system has the advantages that all the modules work cooperatively, multi-format document processing is achieved, multiple modes are fused to generate the mind map, rich output functions are provided, and a user can conveniently and efficiently generate and use the mind map.

A device and method for representing the foam porosity state of foamed lightweight soil with self-adjusting beams, and relates to the technical field of sound absorption coefficients measurement; the device includes a standing wave tube, a plurality of polyvinylidene fluoride piezoelectric films, a sensor, an exciter, a push-pull handle, an adjustable telescopic tube, a foamed lightweight soil detection material, a charge amplifier, a data memory, a data adapter, a signal generator, an adaptive power amplifier board, and a PC computer; the device of the invention has low cost, long service life, high measurement accuracy, relatively simple production process, and can be applied to different scenarios.

Aspects include incorporating media communication adaptors in a surgical environment. Wireless communication can be established between one or more data adaptors and a central processing hub in a surgical system. The one or more data adaptors can be configured to provide surgical data associated with a surgical procedure. Localized processing of the surgical data can be performed at the one or more data adaptors prior to sending the surgical data to the central processing hub. Localized processing of video associated with the surgical data can be performed at one or more video adaptors prior to sending processed video or an output of the video to the central processing hub. The surgical data and the video can be further processed at the central processing hub.

The invention provides a digital country management service system based on a block chain, and belongs to the field of block chains, and the system comprises a lightweight node network which achieves the efficient synchronization of block chain data in a low-bandwidth environment; the privacy protection module adopts data fragmentation encryption and zero-knowledge proof verification to guarantee the privacy security of agricultural data; a dynamic consensus engine automatically switching consensus modes according to power supply; and the cross-chain data adapter realizes standardized processing and cross-chain interaction of the multi-source agricultural data. In addition, the system also comprises an intelligent contract management module and an offline transaction processing module which respectively provide a contract template, visual editing, vulnerability detection and transaction processing functions in an offline environment. According to the method, a lightweight technology, privacy calculation and a cross-chain protocol are fused, a bottom layer trust infrastructure is provided for rural governance and industrial revitalization, and sustainable development of block chain + digital rural ecology is promoted.

The invention relates to the technical field of medical informatization, in particular to a comprehensive rehabilitation service informatization integration method and system, and the method comprises the steps: obtaining multi-source heterogeneous patient rehabilitation data distributed in a hospital information system, a rehabilitation evaluation system, rehabilitation treatment equipment, wearable equipment and an electronic medical record; performing standardization processing on the multi-source heterogeneous patient rehabilitation data based on a preset unified rehabilitation data model; analyzing, cleaning and mapping the multi-source heterogeneous patient rehabilitation data into standardized patient rehabilitation data conforming to a unified rehabilitation data model in real time through a special data adapter deployed in a multi-protocol data interface layer; and by using a bidirectional synchronous data bus based on an event-driven architecture, issuing the standardized patient rehabilitation data to a specified rehabilitation device or client through the bidirectional synchronous data bus and an instruction generated by the central data warehouse. According to the invention, multi-source heterogeneous data from different systems and devices can be integrated to form a comprehensive, continuous and real-time health view for patients.

The present disclosure provides a data adapter cable including: an adaptor plug, one end of the adapter plug is fixedly connected to a connection component; one end of a mobile phone plug component is connected to the connection component, and the other end of the mobile phone plug component is connected to a mobile phone; a flexible connection cable of the present disclosure is a FPC (Flexible Printed Circuit) component. The flexible connection cable can turn 90 degree and swing 180 degrees, with higher flatness and higher comfort compared to a circular-shaped connection cable, which avoids pricking hands, occupies small space and being flat.

The utility model discloses a multifunctional Type-C data patch cord, which comprises a converter body, the right side of the converter body is provided with a through groove, the inside of the through groove is provided with a movable main line, and the left end and the right end of the main line are respectively provided with a connector. According to the utility model, through mutual cooperation of the through groove, the main line, the connector, the Type-C joint, the clamping groove, the jack and the USB joint, when the converter is not used, the main line has double Type-C male ports, C-to-C can be realized, the transmission rate of 20Gbps and the maximum power of 240W can be realized, when the converter is positively inserted, the wire harness can realize A-to-C and is compatible with charging and data transmission of more devices, and meanwhile, the conversion jack has a fool-proof design, so that the conversion is more convenient. And the converter and the data line adopt an integrated design, so that the converter cannot fall off and cannot be bent during rotation, the service life of the converter is prolonged, one-line dual-purpose is realized, the cost is saved, the carrying is convenient, and the time for finding the converter is saved.

The application relates to an AI Agent method and system for conversational synchronization of data, and belongs to the technical field of artificial intelligence and natural language processing. The method comprises the following steps: obtaining a semantic analysis model; analyzing data synchronization intention and constraint conditions; based on the analysis result, calling a multi-source data adapter to connect a heterogeneous data source for data extraction; intelligently processing the extracted data through a synchronization strategy decision module, dynamically selecting a synchronization mode according to data characteristics; using SSE server push technology to realize real-time feedback of execution progress, and using an incremental context memory mechanism to realize continuous tracking and cumulative correction of synchronization conditions in multi-round conversation; automatically verifying the synchronization result, displaying an AI response word by word in the effect of a typewriter, and returning the synchronized data to the user in a structured format. The application significantly reduces the technical threshold of data synchronization and improves the multi-round interaction experience and synchronization efficiency.

The invention provides a self-adaptive multi-source target fusion system and method, the system comprises a plurality of unmanned platforms and a simulation and simulation module, and each unmanned platform comprises a communication module and a fusion module; each communication module comprises an external control assembly, a data driving assembly and a data reporting assembly; each fusion module comprises a fusion data adapter and a fusion data pipeline; the simulation and emulation module is used for generating sensor data and sending the sensor data to the external message middleware; each external control assembly is used for generating an internal control instruction; each data driving assembly is used for obtaining internal sensor data; each data reporting component is used for sending the received internal fusion target data and the unmanned platform cluster fusion target to the external message middleware; each fusion data adapter is used for obtaining an internal sensor frame and a sensor frame after secondary analysis; each fusion data assembly line is used for obtaining internal fusion target data and unmanned platform cluster fusion targets.

The invention relates to the technical field of data processing, and particularly provides an equipment fault prediction method and system based on multi-modal data, equipment and a medium, and the method comprises the steps: building a sensor adapter registration center, configuring and registering corresponding data adapters and feature extractors for various types of sensors, so as to achieve the dynamic extension of the types; after receiving the original data of the heterogeneous sensor, calling a corresponding data adapter from a registration center according to the type to generate preprocessed data; calling a corresponding feature extractor, extracting features of different time scales from the preprocessed data, and constructing a multi-dimensional feature vector library; performing cross-modal fusion on the features in the feature library by adopting an attention mechanism to generate a fusion feature vector; and finally, inputting the fused feature vector into a deep learning model to carry out fault prediction and uncertainty quantization, and outputting a prediction result. According to the invention, the fault identification precision and the system practicability are effectively improved.

The invention relates to the technical field of personnel business data processing, in particular to a personnel receipt processing method, device and equipment and a storage medium, and the method comprises the steps: responding to received request information of a heterogeneous data source, and converting the request information of the heterogeneous data source into a standard query instruction; executing batch query based on the standard query instruction to obtain target personnel data, and automatically backfilling the target personnel data to a to-be-processed document; in response to the approval validation instruction of the to-be-processed document, acquiring document validation data; and based on a preset data assembly rule, carrying out data assembly on the receipt effective data, and writing the assembled data into a personnel master data model in a single transaction. Therefore, through the predefined rule based on the business type and the multi-source data adapter, automatic loading and backfilling of personnel information are realized, the database requests which are dispersed for multiple times are optimized into one-time batch query, the database pressure is greatly reduced, and accurate execution of the business rule is ensured.

The invention discloses pressure pipeline stray current intelligent monitoring equipment, and belongs to the technical field of pipeline current monitoring equipment.The pressure pipeline stray current intelligent monitoring equipment comprises a test pile, a reference electrode, a voltage sensor, a communication cable and an intelligent monitoring device.The reference electrode is buried in soil near a pressure pipeline, and the voltage sensor is arranged on the pressure pipeline; the reference electrode and the pressure sensor are connected with a wiring board arranged on the upper portion of the test pile through communication cables, the intelligent monitoring device is connected with the wiring board and comprises a data adapter, a display module and a single-chip microcomputer processing module, and the data adapter and the display module are both in signal connection with the single-chip microcomputer processing module. The single-chip microcomputer processing module collects potential data of the reference electrode and the voltage sensor, calculates a potential gradient, draws a pipe-to-ground potential curve, and carries out early warning according to the potential gradient. According to the invention, a scheme of the stray current intelligent monitoring equipment with the built-in test pile is researched and developed by using a single-chip microcomputer technology, and the stray current is accurately measured and analyzed.

The invention discloses a propagation influence dynamic visualization method supporting multi-dimensional drilling and real-time interaction, and the method comprises the following steps: S1, accessing multi-source original propagation event data through a propagation influence data adapter, and converting the multi-source original propagation event data into structured data carrying a multi-dimensional label; s2, responding to a visual view interaction operation of a user, analyzing context information by an interaction intention analyzer, and generating a drilling instruction containing a target dimension identifier; s3, dynamically generating a data query statement and a visual configuration option required by next-level analysis by the drill-down path manager according to the instruction and a predefined metadata rule; and S4, the configuration options are submitted to an Echarts-based visual instance, view difference comparison and local updating are realized by using a virtual option tree Diff algorithm, and seamless drill-down rendering is achieved. According to the method, the user interaction intention can be automatically analyzed, the drilling path is generated, the analysis flexibility and depth are improved, an Echarts rendering mechanism is optimized, mass real-time data updating and complex view linkage can be efficiently processed, and the response speed and smoothness are guaranteed.

The embodiment of the invention provides a request processing method and device, equipment, a readable storage medium and a program product, and the method comprises the steps: obtaining an interface calling request of a non-native application program, and the non-native application program is developed based on a native application program; in response to the interface calling request, determining a target public interface corresponding to the interface calling request from a public interface pool; calling a data adapter set for the non-native application program, and performing data adaptation processing on the interface calling request to obtain interface calling data; and executing a processing operation matched with the target public interface according to the interface calling data to obtain a processing result, and returning the processing result to the non-native application program. Through the embodiment of the invention, the code complexity and redundancy of the application program interface can be reduced.

The present invention discloses a method for realizing real-time data synchronization of 3D digital twins based on Web rendering components, which relates to the technical fields of digital twin Web rendering and real-time data. Step 1: Package lightweight Web 3D rendering components to build a 3D rendering carrier that can be directly embedded in Web pages without plugins. Step 2: Build a JavaScript SDK supporting the Web 3D rendering components, define a standardized 3D element state control interface system, and establish a mapping channel between 3D twin elements and business data. Step 3: Design a multi-data source custom adaptation protocol, build a configurable heterogeneous data adapter, and achieve unified parsing and format conversion of multi-source business data. By setting lightweight Web 3D rendering components with cropping and encapsulation, the present invention solves the problems of traditional digital twin platforms relying on heavy engines and special plugins, high deployment costs, and great integration difficulties, realizes native operation of browsers without plugins, and achieves the lightweight deployment effect of plug-and-play.

The utility model discloses an ultrashort wave radio station data switching box and cable, comprising an upper housing, a PCB, a lower cover and a hardware assembly, the hardware assembly is integrated on the PCB, the upper housing and the lower cover are detachably connected to form the switching box, and the PCB is used for being installed inside the switching box; the hardware assembly comprises a CPU chip, a power supply management chip, a GPIO control module, a USBHUB unit and an EMCP module, after being powered on, the power supply management chip operates to supply power to the CPU chip, and the CPU starts to operate and controls a power supply switch of the USBHUB unit and the EMCP module through the GPIO control module. The switching box provided by the utility model adopts an integrated, modularized and integrated structure, the module layout is compact, and the unit layers are distinct, so that the miniaturization design of equipment is realized. The modularized cable reduces disordered wiring, and the heat-shrinkable sleeve enhances durability.

1. Name of the product in this design: Data adapter for car anti-theft matching equipment. 2. Purpose of this design: For data interface conversion during the operation of car anti-theft key matching equipment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a distributed N + 1 salary settlement system based on a block chain, and relates to the technical field of computer software. The system comprises a configuration center module for constructing salary item configuration and rule binding data, a salary item management module for generating a structured salary item model, a rule engine module for analyzing rule expression and field dependence, a data adapter module for completing field normalization and standardization processing, a dynamic formula analyzer for generating a rule function set, and a rule function module for generating rule function data. The multi-source data access module constructs a callable field dictionary, the 1 + N salary model module generates aggregation configuration data, the settlement core module executes a distributed calculation task, and the salary report module completes multi-role report generation and chain registration. By constructing an extensible salary structure, field normalization and a dynamic rule calculation mechanism, multi-source data adaptation, rule functional expression and on-chain right confirmation processing of a distributed settlement result are achieved, and the configuration flexibility, calculation concurrency and data credibility of a salary system are improved.

A device and method for representing the foam porosity state of foamed lightweight soil with self-adjusting beams, and relates to the technical field of sound absorption coefficients measurement; the device includes a standing wave tube, a plurality of polyvinylidene fluoride piezoelectric films, a sensor, an exciter, a push-pull handle, an adjustable telescopic tube, a foamed lightweight soil detection material, a charge amplifier, a data memory, a data adapter, a signal generator, an adaptive power amplifier board, and a PC computer; the device of the invention has low cost, long service life, high measurement accuracy, relatively simple production process, and can be applied to different scenarios.

Systems, computer program products, and methods are described herein for maintaining data integrity and security during data transfer between electronic devices. Some embodiments are directed to a system including a data adapter configured to analyze records for initiating transactions to identify relationships between data fields in the records and a data engine configured to generate standard-compliant messages for initiating transactions based on the records. The system may be configured to receive records including data fields for initiating transactions and determine, using the data adapter, relationships between the data fields. The system may be configured to determine, using the data engine, whether the records include required information for conducting transactions based on a messaging standard and generate standard-compliant messages for initiating and / or conducting the transactions based on transaction data in the data fields.

The invention provides a credit data association method based on a resource network, and belongs to the technical field of credit data updating, and the method comprises the steps: inputting multi-source credit data into a target data adapter, and obtaining target credit event information corresponding to the multi-source credit data; updating a predetermined credit data graph based on the target credit event information; according to the updated credit data atlas, credit scores corresponding to related credit subjects in the credit data atlas are updated to realize association of the credit data; wherein the step of updating the credit data atlas comprises at least one of the following items: creating edges and / or nodes in the credit data atlas based on the target credit event information; and updating the edge weight based on the target moment in the target credit event information. According to the credit data association method based on the resource network, the accuracy of credit data association can be improved.

To identify a behavior pattern (Z) of industrial equipment that performs an industrial process, a computer uses an adaptor module (200) and a predictor module (500) to perform a computer-implemented method (400). The adaptor module (200) receives (410) original parameter data [X] from data providers that belong to components of the industrial equipment, the adaptor module (200) clusters (420) original parameter data [X] to data clusters according to relations between the components. Static relations between the components are pre-defined by the industrial process, and dynamic relations between the components are defined by parameter data that are being received. The adaptor module (200) assigns (430) cluster values to the data clusters, and applies (440) the cluster values as weights [W] to the parameter data [X] to obtain adapted parameter data [Y]. The predictor module (500) performs (450) the behavior prediction with adapted parameter data [Y] results in the behavior pattern (Z).

1. Name of the product in this design: Charging data adapter (voice recorder). 2. Purpose of this design: For data charging adapter function. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present application belongs to the technical field of precision casting shell detection, and particularly relates to a test device suitable for determining the thermal physical property parameters of a shell, comprising a switching unit and a temperature measuring unit, the switching unit comprising a base and a turntable, the turntable being rotationally connected to the base, the top of the turntable being provided with four limiting grooves, and the limiting grooves being provided with a positioning mechanism; the temperature measuring unit comprising an infrared detector array, an infrared thermal imager and a temperature measuring data adapter module, the infrared detector array being used for collecting the temperature of the shell surface, the infrared thermal imager being used for capturing the dynamic temperature distribution of the shell surface, and the temperature measuring data adapter module being used for receiving the temperature measuring data of the infrared detector array and the infrared thermal imager and realizing the synchronous collection and unified transmission of the two sets of temperature measuring data. Through the positioning mechanism, the shell in the limiting groove can be positioned and clamped, and the accuracy of the temperature measuring result is ensured; through the switching unit, multiple independent repeated tests are adopted, the influence of accidental factors is eliminated, and the accuracy of the detection result is improved.

Systems and methods are provided for a machine learning (ML) pipeline with a unified framework. A training data adapter receives training data in a training data format, processes the training data to match a pipeline data format of a ML pipeline, and transmits reformatted training data to the ML pipeline. A production data adapter receives production data in a production data format, processes the production data to match the pipeline data format, and transmits the reformatted production data to the ML pipeline. The ML pipeline receives and processes the reformatted training data to train a ML model in the ML pipeline, and further receives and processes the reformatted production data using the ML model to generate production artifacts.

The invention discloses a dynamic decision optimization method based on a multi-source data stream, and relates to the field of data acquisition and transmission, and the method comprises the steps: receiving a multi-source heterogeneous data stream in real time through a multi-protocol data adapter, and carrying out the standardization processing; loading the prediction model; inputting the standardized feature vector into a prediction model, and outputting a first target value; performing statistical calculation on a historical data sequence related to the standardized feature vector, and outputting a second target value; constructing an optimization problem according to the first target value and the second target value, solving by adopting a Pareto frontier search algorithm, and outputting a decision solution; monitoring an error between the new data stream and a first target value in real time, if the error is greater than a preset threshold value, updating and storing the model parameters, and returning to the step of receiving the multi-source heterogeneous data stream in real time; otherwise, the current decision solution is used as a final solution to be sent to the system controller. According to the invention, intelligent and adaptive processing of the dynamic data environment is realized, and manual intervention is not needed.