114 results about "Data interoperability" patented technology

The invention relates to the technical field of vehicle-mounted communication, and discloses an intelligent identification and conversion method for a heterogeneous vehicle-mounted connector protocol. According to the method, after a vehicle-mounted connector is connected, preset disturbance signal sequences are sequentially injected, response behaviors of the preset disturbance signal sequences in a signal channel are recorded, and a corresponding response sample set is constructed by analyzing response level, time delay and feedback data. The system further archives and encodes the sample set, generates a disturbance response behavior track containing state jump characteristics, and reasones a communication protocol type and a corresponding state driving factor through track comparison. On the basis, a field stable region and a boundary change mode are extracted, a protocol adaptive sampling rule is generated, then real-time segmentation and extraction are carried out on subsequent communication data, and a standardized data frame is constructed. Finally, data format reconstruction and semantic conversion among heterogeneous vehicle-mounted protocols are realized, and communication compatibility and data intercommunication capability among various connectors are improved.

The invention provides an intelligent education resource sharing and authority management system based on a block chain, and belongs to the technical field of intelligent education, and the system comprises a block chain network layer, a resource right confirmation module, an intelligent contract module, a distributed storage network, a cross-chain interaction gateway and a dynamic optimization module, comprising a resource authentication chain, an authority management chain and a cross-chain interaction chain, and the chains realize data intercommunication through relay nodes; the resource right confirmation module adopts a three-level Hash nested structure to generate a non-tampering digital fingerprint, and binding and uplink the educational resource metadata and the creator DID; the intelligent contract module comprises a dynamic authority management contract and a resource transaction contract, and supports an access control strategy based on context awareness. According to the intelligent education resource sharing system, the core problems that the right of the education resources is difficult to confirm, the sharing efficiency is low, and the right management is inflexible are solved, and the safe, intelligent and extensible intelligent education resource sharing system is constructed.

The invention relates to the technical field of geological analysis, and discloses a method for fusing a three-dimensional geological model and a WebGIS (Web Geographic Information System), aiming at solving the problems of poor data intercommunity, limited spatial analysis capability, difficulty in real-time updating and low model loading efficiency of the existing method, and the scheme mainly comprises the following steps: extracting geological model data, and carrying out standardized format processing; lightweight processing is carried out, and geological attributes and model nodes are bound one by one; the format is converted into a binary format embedded with a metadata label, and data integrity verification and automatic error correction are carried out in the conversion process; constructing a non-uniform adaptive octree spatial index, a multi-level attribute data architecture and a real-time updating mechanism of attribute data; after the geological model and the terrain are precisely registered and fused, a dynamic loading mechanism, a high-performance rendering mechanism and a geological model real-time updating mechanism are constructed, and a three-dimensional geological analysis tool is integrated. According to the method, efficient loading, real-time rendering, dynamic updating and spatial analysis of the three-dimensional geologic model in the WebGIS are realized.

The invention relates to the field of community old-age care, and discloses a community old-age care-oriented medical-care-and-care-combined data intercommunication and service coordination system, which comprises a sensing module used for acquiring physiological data of old people, old-age care service data, environment data and service demand information to form multi-modal information; the network module is used for carrying out multi-modal information transmission, protocol conversion and edge calculation preprocessing to obtain processed data; and the data module is used for constructing a standardized data lake according to the processed data by adopting a unified data standard and a main data management technology, and carrying out fusion storage, treatment and safety protection to obtain multi-source information. Multi-modal information is collected to provide a data basis for cross-mechanism cooperation, data transmission and preprocessing are performed, and a standardized data lake is constructed through a unified data standard and main data management, so that medical institutions, pension institutions and community grids can share global data such as health states, service records and the like of old people in real time.

The invention provides a medical platform management system, and relates to the technical field of medical health. Comprising a multi-source heterogeneous data intelligent acquisition module, the multi-source heterogeneous data intelligent acquisition module is connected with an external system through a distributed data acquisition framework and collects and integrates multi-source heterogeneous data, and the multi-source heterogeneous data comprises but is not limited to medical text data, multi-modal medical image data and real-time medical sensor data; aiming at the problem, the multi-source heterogeneous data intelligent acquisition module designs an intelligent data interface adapter, supports multiple medical data transmission protocols such as RESTAPI, HL7FHIR, DICOM and the like, realizes data standardized mapping through an efficient data conversion engine, solves the problem of cross-mechanism and cross-system data intercommunication in a medical body, and improves the data transmission efficiency. And a foundation is laid for realizing real medical integration.

The application provides a format standardization method for network security threat intelligence sharing, and relates to the technical field of network security. The method comprises the following steps: constructing a mapping table based on field names and attribute names and outputting a mapping dictionary; reading multiple formats of intelligence data uploaded by users and converting the intelligence data into a two-dimensional table; performing data format checking and conversion based on the mapping relationship, and creating multiple SCO objects; filling the SCO objects into AttackPattern and ObservedData objects for serialization, generating threat intelligence conforming to the STIX format; and outputting a JSONL format file and naming the file according to a hash value. The application realizes the automatic and standardized conversion of multi-source heterogeneous threat intelligence data, improves the data interoperability and sharing efficiency, and enhances the network security defense capability.

The invention provides a multi-level weapon strength joint deduction system based on adaptive aggregation and deaggregation, and the system comprises a tactical-level simulation engine which is used for loading a simulation scenario to construct a simulation scene, and carrying out entity-level simulation deduction according to simulation time periods and step length simulation control parameters; the battle-level simulation engine is used for loading a simulation scenario to construct a simulation scene and receiving simulation control parameters to carry out unit-level simulation deduction; the polymerization and depolymerization module is used for carrying out mutual conversion and interaction among different resolution level models and comprises a depolymerization unit and a polymerization unit; and the heterogeneous interconnection module is used for providing a mechanism and an environment for accessing each simulation heterogeneous object to the system and carrying out data publishing and ordering, and realizing data interconnection and interworking and model interoperation among simulation objects through message middleware. The method has the advantages that the real-time performance and the verisimilitude of the multi-level heterogeneous joint simulation system are effectively balanced; the problem of multi-platform, multi-resolution and large-scene joint simulation is solved.

The invention provides an Internet of Vehicles architecture based on MQTT, a business data processing method and a medium. The method comprises the following steps: receiving service data sent by a vehicle end through a load balancing cluster, carrying out load balancing on the service data, and sending the service data to servers in an MQTT cluster, thereby reducing the load of each server, ensuring the overall performance of the MQTT cluster, and improving the reliability of service data transmission; the server sends the received service data to the message-oriented middleware, and the message-oriented middleware stores the received service data, thereby realizing decoupling of the cloud and the MQTT cluster, improving the concurrency and throughput of the service data, and ensuring that the service data is not lost; and the cloud subscribes the service data of the corresponding theme from the message-oriented middleware so as to carry out service application and realize data intercommunication between the vehicle terminal and the cloud. According to the method, the performance of the Internet of Vehicles architecture is improved, reliable transmission of service data is guaranteed, and the method is particularly suitable for high-concurrency, high-throughput, complex and changeable scenes in the Internet of Vehicles.

The invention relates to the technical field of nursing data management, and particularly discloses a nursing data management optimization method and system for a brain tumor patient, which is used for performing structured conversion and FHIR format standardization processing based on a multi-dimensional rule on vital sign data and electronic medical record data of the brain tumor patient. Therefore, the consistency of data formats is ensured. For medical image data of a patient, a large model technology is particularly introduced to carry out automatic structured description on a medical image, through image feature extraction and semantic segmentation based on deep learning, morphological features and a spatial distribution mode of a focus are identified, a structured image description text is generated, and FHIR format conversion is further completed. Finally, unified access, storage, query and analysis of vital sign data, electronic medical record records and medical image reports are achieved by deploying an integrated server meeting the FHIR standard. According to the method, the integration level of nursing data can be remarkably improved, information islands are broken, and data interoperability is improved.

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

The invention provides a data processing system and a data processing method, which are applied to the technical field of data processing, and the system comprises a data synchronization module and a data warehouse. And the data synchronization module is used for acquiring the business data from the plurality of data sources, and synchronously storing the business data to the data warehouse based on the synchronization modes corresponding to the data sources. The data source comprises irregular data and regular data. The regular data comprises one or more of the following: a service provider system, a database and a local file generated by an enterprise. The data warehouse comprises an ODS layer, a DW layer and an ADS layer; the data warehouse is used for inputting business data to the ODS layer; configuring the service data by using the DW layer to obtain wide table data; the wide table data is used for representing business data of multiple dimensions under a preset theme; the ADS layer is utilized to call the service data corresponding to the user demand from the wide table data according to the user demand, the service data table is generated, data intercommunication can be achieved, and the data management efficiency is improved.

The invention discloses an offshore wind power operation and maintenance optimization method based on a BIM data connection standard, and relates to the related field of a big data management technology, and the method comprises the steps: building a BIM data analysis platform, and deploying data collection equipment; wind power equipment parameters and environment parameters of the offshore wind power plant are collected and uploaded to the BIM data analysis platform in real time; integrating the collected data based on a BIM data connection standard, and establishing a data sharing mechanism; state visualization of offshore wind power equipment is realized through a BIM model, and fault diagnosis is realized in combination with a neural network model; comprehensively analyzing various data according to fault information output by the neural network model, and optimizing an operation and maintenance path by using an intelligent algorithm; feedback information of the BIM data analysis platform is received, operation and maintenance operation is executed, and platform configuration is optimized according to the actual execution condition. The problems that an existing offshore wind power operation and maintenance method is low in efficiency and precision are solved, and the technical effect of improving the intelligent level of offshore wind power operation and maintenance is achieved.

The invention relates to an integration platform, an integration method and a business processing method of a multi-business system, and belongs to the technical field of informatization integration. The integration platform comprises a data model construction module used for constructing a matched data model; the basic data initialization module is used for initializing basic data required by the matched data model according to the information of the plurality of to-be-integrated sub-service systems; the basic data loading module is used for loading basic data of the initialized matched data model into the integration engine; the integration engine related implementation class loading module is used for dynamically selecting an adaptive integration engine implementation class according to the integration engine driving rule information and loading the integration engine implementation class into the integration engine; and the integrated logic initialization module is used for performing integrated logic initialization on the integrated engine loaded with the related implementation class of the integrated engine to construct an integrated platform. The invention aims to ensure that each service system can effectively work cooperatively and realize data intercommunication and function integration.

A system for real-time tracking of the performance and maintenance history of real estate assets, consisting of: a) a plurality of embedded sensor nodes distributed across structural, environmental and utility subsystems of a property asset, each sensor node configured to acquire localized telemetry data including at least one of the following: strain, vibration, temperature, humidity, gas concentration, occupancy, energy consumption or acoustic signal; b) a Real Estate Performance Tracking Unit (REPTU) comprising a microcontroller with embedded firmware, a real-time operating system (RTOS), a sensor interface module, non-volatile memory and a wireless communication transceiver, wherein the REPTU is operationally coupled with the sensor nodes to query, aggregate and preprocess the telemetry data; c) an edge inferencing module embedded in the REPTU, configured to perform localized anomaly detection using threshold filters and machine learning models trained on historical performance baselines, wherein the edge inferencing module generates event triggers when it detects a deviation from the nominal operating patterns; d) a secure technician authentication subsystem comprising at least a fingerprint scanner, an NFC identity tag reader or a biometric voice module integrated into the REPTU, the subsystem being configured to validate the identity of personnel during maintenance interactions; e) a maintenance ledger engine that is communicatively coupled to the REPTU and configured to generate cryptographically anchored entries representing maintenance events, each entry containing a timestamp, the technician's identity, the plant component ID, the service type, and diagnostic metadata; f) a cloud analytics platform comprising an engine for storing time-series data, an algorithm module for predictive maintenance and an interface layer for stakeholder access, wherein the platform is configured to receive encrypted telemetry and event data from the REPTU, perform long-term deterioration modeling and output maintenance plans and compliance reports; g) a role-based access control unit that enables differentiated data visibility and operating permissions for at least four categories of stakeholders: property owners, facility managers, certified technicians and regulatory authorities; h) an API interface unit configured for the integration of the system with third-party Building Information Modeling (BIM) platforms, municipal compliance registers and tenant-oriented applications, thus supporting cross-system data interoperability and contextual traceability.

The invention provides a management method and system for automatically generating standardized OT data based on a large model. The method comprises the steps that S1, an OT metadata ontology library is constructed into an OT term vector space according to standard regularized metadata meeting preset requirements; s2, mapping a natural language instruction to an OT term vector space through a large model to obtain standard structured OT data; and S3, carrying out quality verification and enhancement processing on the standard structured OT data. According to the method, the data consistency can be improved, the naming conflict in the integration process is solved through the unified cloud standard specification, and the data interoperability is remarkably enhanced; the efficiency revolution can be implemented, the data cleaning workload is effectively reduced, the qualitative change from a project system to productization is realized from traditional manpower integration, and the basic support of high-quality training data is provided for large-scale industrial deployment.

The invention belongs to the technical field of sample library management, and particularly relates to a sample library management-based operation system which comprises a management layer unit, a sample data processing unit, a retrieval unit, a safety protection unit, an interface unit and a data sharing unit. Meanwhile, data security and privacy protection are guaranteed, data sharing and cooperative work between different teams and organizations are promoted, knowledge discovery and innovation are accelerated, data standardization and consistency are guaranteed at the same time, in many fields, sample data come from different devices, laboratories, organizations or systems, data formats and standards may be different, and the data format and the data standard may be different. And the standardized sample library management system can unify the data format, the data structure and the storage mode, so that the consistency and compatibility of the data are improved.

The invention discloses a railway tunnel portal parametric modeling method based on an IFC file, and the method specifically comprises the following steps: 1, extracting three types of core parameter sets of an inner contour section, an open cut tunnel lining section and a portal member based on a railway tunnel general reference graph; 2, on the basis of the IFC file structure features and an IfCpenShell toolkit, entity elements of an inner contour, an open cut tunnel lining and a tunnel portal component are constructed in the IFC file through the python language; 3, based on the spatial assembly constraint condition of the railway tunnel portal, establishing a geometric association relationship among the three parts of entity elements, and forming an IFC file of the whole railway tunnel portal; and 4, importing the IFC file formed in the step 3 into BIM software for parametric modeling. According to the method, the problems of poor compatibility of different software and insufficient data interoperability and expansibility in the existing parametric modeling are solved.

The invention relates to the technical field of wireless communication, and particularly provides a session establishment method and device, electronic equipment and a computer program product. The method comprises the following steps: receiving a session establishment request message sent by a first network element, wherein the session establishment request message is used for requesting to establish a session channel between the first network element and a second network element; and sending a session establishment confirmation message to the first network element. According to the method for initiating session establishment by the network element, the session granularity is changed, the existing user-level session is changed into the network element-level session, the starting point and the ending point in the session path are changed, and the end-to-end session is changed into the session from the network element to the network element, so that the requirements of large-scale intercommunication and efficient communication of data are met.

The invention provides a dual-carbon transaction service platform with a transaction information accurate matching function, and relates to the technical field of carbon transactions, and the dual-carbon transaction service platform comprises a sequentially nested verification chain formed by a token issuing unit, an area pre-detection unit, a time window response unit, a data interoperation unit, a manual verification unit and an electronic filing unit which run in sequence. The platform carries the mapping information by using the digital token, the category code corresponds to the carbon quota category, the aging state code is bound with the effective time period, and the regional feature code is associated with the regional emission factor data. During verification, region consistency is verified through an algorithm, period effectiveness is judged through system time, kernel exposure is triggered through a data matching rule, finally, an authenticator carries out visual comparison and applies digital marks, and whole-course data is recorded and evidence-stored through an electronic filing unit.

The invention discloses a cross-regional data intercommunication method, device, equipment and medium for the electric power Internet of Things, and the method comprises the steps: carrying out the layer-by-layer splitting of a target database table according to a preset multi-level business logic, obtaining a plurality of sub-tables and a sub-table splitting list, and carrying out the layer-by-layer splitting of a plurality of sub-tables according to the sub-table splitting list, sequentially generating a sub-table subordinate hierarchy list and a sub-table dependency list; monitoring the arrival state of each sub-table transmitted to the target safety area so as to calculate the proportion of the sub-tables arriving in the waiting period; if the sub-table proportion is greater than a preset threshold value, judging whether each arrived sub-table meets an independent processing condition or not according to a sub-table dependency list; and according to the subordinate hierarchical list of the sub-tables, merging the sub-tables capable of being processed independently to obtain a plurality of new database tables, and executing business processing of the power internet of things according to the new database tables. According to the invention, the problem of slow service processing response speed for waiting for complete data due to asynchronous arrival of the data in the data intercommunication process can be solved.

The invention relates to the technical field of microwave beauty devices, and provides a temperature feedback type handheld microwave beauty device which comprises a handheld beauty body, an interaction terminal, a microwave emission terminal, a sensing terminal, a control terminal and a communication terminal. The communication terminal is used for realizing data intercommunication of the terminals and performing information exchange with external equipment; the interactive terminal is used for starting, parameter setting and state monitoring by a user; the sensing terminal is used for monitoring sensing data of a skin area in real time in the beautifying process; the microwave emission terminal is used for generating microwave energy, regulating and controlling the microwave energy according to the sensing data and outputting the microwave energy to the handheld beauty main body; the handheld beauty main body is used for directly acting on a target skin area by utilizing microwave energy; the control terminal is used for controlling cooperative work of the terminals. The invention has the effect of improving the safety of microwave energy output.

The invention discloses an intelligent garden data management method and system based on cloud computing, and relates to the crossing field of cloud computing technologies, and the method comprises the steps: collecting and preprocessing multi-dimensional garden data through a distributed terminal, and adding classification and space-time labels; using a hybrid cloud architecture to realize data security storage and collaborative management, and establishing a classification index; a deep learning model is trained based on historical data, an analysis result is output, a personalized maintenance scheme is generated, and dynamic optimization is performed through real-time feedback; secure data intercommunication between the platform and various terminals is realized by means of a multi-terminal collaborative interaction module, and data security is guaranteed by adopting encrypted transmission and authority control; monitoring and encryption protection are implemented in the whole process, a traceable log is generated and filed regularly, and continuous iterative upgrading is performed in combination with a model effect. The method has the advantages that based on the hybrid cloud architecture and distributed data processing, garden management is promoted to be transformed to data intelligent driving through full-process closed-loop optimization, and the management efficiency and the refinement level are greatly improved.

This invention relates to a multi-dimensional characteristic monitoring system for power distribution cables. The system includes a snap-on integrated sensor, partial discharge / fault location / temperature rise circulating current monitoring equipment, shared hardware equipment, and a system fusion management device. The integrated sensor synchronously collects partial discharge, fault traveling wave, temperature, and circulating current signals and outputs them uniformly. The three monitoring devices receive signals through a unified interface and analyze them independently. The shared hardware provides unified power supply, communication, and GPS / BeiDou dual-mode clock synchronization. The system fusion management device performs multi-dimensional data fusion analysis and collaborative early warning. All devices achieve time synchronization, resource sharing, and data interoperability. The fault location equipment integrates multi-source abnormal data to complete fault prediction and accurate location. The fusion management device mines parameter linkage relationships to identify complex hidden dangers. This system achieves integrated collaborative monitoring of multi-dimensional characteristics of power distribution cables, improves the accuracy of monitoring and fault tracing, reduces equipment and maintenance costs, and is suitable for the operation and maintenance needs of 6-35kV power distribution network cables.

The invention provides a method for verifying and improving an offline streaming media advertisement putting effect. The method comprises a multimedia advertisement board, an offline data processing unit, an image acquisition unit and a cloud processing unit, the multimedia advertisement board is used for playing a plurality of advertisements stored locally in turn, each advertisement is provided with an independent digital label, and the digital labels are associated with the offline data processing unit to determine the currently played advertisement content; the image acquisition unit is a camera shooting module, the camera shooting module directly faces an area influenced by advertisement putting, the camera shooting module is provided with a specific visual field breadth so as to determine an image acquisition range, and acquired image data is sent to the offline data processing unit for primary processing; the offline data processing unit is in data intercommunication with the cloud processing unit and is used for data analysis; the method has the advantages that the offline advertisement putting effect is fed back in time, the privacy security of offline users is protected, and the marketing efficiency of manufacturers is improved.

The invention discloses a B2B multi-channel information interaction platform, relates to the technical field of information interaction, and solves the problems that a traditional B2B multi-channel information interaction platform is complex in data exchange, lacks data interaction operability and technical security, and is insufficient in compatibility and expandability. The system comprises a database, a transaction management system, an information exchange center, a data analysis and mining module, a safety guarantee module, a partner management module and a man-machine interaction module. According to the method, missing data are inferred by adopting a data interpolation algorithm, so that data completion is realized; according to the invention, the information exchange center carries out standardization processing on data through data cleaning, data integration, data standardization and data completion, so that standardization and consistency of the data are ensured; according to the invention, the security guarantee module and the partner management module are arranged to guarantee the security of platform transaction and partner information.

The invention discloses an intelligent pharmaceutical innovation management service system, and relates to the technical field of pharmaceutical management. Comprising a total system, the total system comprises hardware facilities and a server side, and the server side comprises a user information management module, a medicine management module, a pharmacy data module, a data intercommunication module and a data storage module; after the medicine management module carries out medicine delivery and medicine taking, a report is sent to hardware facilities used by a doctor side through a server side to inform the use of supplies, the hardware facilities comprise a desktop computer, a mobile device and a medicine information input device, and the mobile device comprises a mobile phone, a patient card and an nfc recognition component; the desktop computer is a desktop computer in offices of doctors, pharmacists and nurses; according to the invention, the server side sends the report to the hardware facility used by the doctor side to inform the use of the supplies after the medicine management module carries out medicine delivery and medicine taking, so that a doctor can know the medicine preparation and medicine taking time after making a prescription and confirm the normal use of the medicine.

The invention discloses a furnace number full-process tracking system and method for special steel production, and belongs to the technical field of crossing of ferrous metallurgy intelligent manufacturing and industrial network safety. The problems that a traditional tracking system of an existing special steel enterprise depends on manual recording, so that the cross-process data intercommunication rate is low, the positioning and tracing precision is poor, and the confidentiality is low are solved, through a three-level architecture of a sensing layer, a network layer and an application layer, an industrial sensor is integrated, SM4 encryption transmission is carried out, and an isolated forest algorithm and a PBFT block chain consensus mechanism are improved. And full-process data communication and active security defense in the special steel manufacturing process are realized. The system has the advantages of equipment credibility authentication (SM2 algorithm), data tampering detection rate of 100%, block chain rapid response and the like, and is suitable for special steel production lines with high secrecy and quality tracing requirements.

The present invention discloses a natural language query method and system based on spatiotemporal knowledge cube, including constructing a spatiotemporal data cube based on a relational data table, constructing a virtual knowledge graph describing the spatiotemporal knowledge cube according to the spatiotemporal data cube, parsing the user's natural language, using the domain ontology in the spatiotemporal knowledge cube, splicing a prompting project of a large language model, inputting the prompting project into the large language model, and automatically generating GeoSPARQL from the large language model; executing GeoSPARQL in an ontology-based data access system (OBDA) to obtain corresponding data. The method proposed by the present invention is simple and easy to operate, improves the availability and value of data, and non-professional users can also use the method proposed by the present invention to achieve fast and accurate data retrieval, which is particularly suitable for fields that require high data interoperability and deep data understanding.

A disposable blood typing device is provided for determining ABO and RhD blood types using binary logic-based interpretation. The device includes a sample application area, test zones containing dried anti-A, anti-B, and optionally anti-D reagents, and a result output mechanism configured to display a binary outcome for each antigen. Binary values are assigned based on visible agglutination reactions, which are processed through a logical mapping structure—such as a printed chart, mechanical indicator, or electronic logic circuit—to determine the corresponding blood type. The device may incorporate visual indicators, control regions, waste containment, and optional digital components for electronic display or wireless data transmission. Designed for single use, the system facilitates self-administered or point-of-care testing without requiring clinical expertise, and may be integrated with mobile applications or health records systems. The invention enhances test accuracy, usability, and data interoperability while minimizing contamination risk and interpretation error.