212 results about "Reporting system" patented technology

The invention discloses a building facility detection data intelligent analysis and report system and method, and relates to the technical field of building structure health monitoring, and the method comprises the steps: achieving the high-precision data capture in a strong light dust raising environment through a laser radar and a dual-spectrum camera of a multi-mode anti-interference collection module; a millimeter wave radar array and an IMU inertial unit of the high-risk area strengthening module penetrate through severe working conditions to monitor key structure displacement; the credibility management engine is provided with an NFC timestamp chip and a double-chain block chain, and data judicial-level credibility and operation traceability are ensured; through humidity response gel packaging and Peltier semiconductor refrigeration of the self-maintenance sensing network, node environment self-adaption and drift suppression are achieved; and the multi-stage analysis center fuses edge-cloud computing power based on federal learning, generates a dynamic risk map and automatically outputs a compliance report. Accurate and timely reference is provided for operation and maintenance decisions, and the safety management level of building facilities is effectively improved.

One or more computing devices, systems, and / or methods that provide an interactive reporting system for analyzing and reporting on campaign related data and mining insights using generative AI are provided. In an example, a user interface is configured to receive a natural language request and display a natural language response. A serving system is coupled to a data store housing campaign data sets and comprises a dedicated campaign large language model (LLM) configured to convert the natural language request to a suitable query capable of being run against the campaign data sets and to run the query against the data sets, to receive output from the query, to encode relevant query output together with the natural language request and / or the suitable query into an encoded output, and to decode the encoded output to generate a natural language response to the natural language request.

The invention discloses an MES industrial production work reporting system based on an AI algorithm, and the system comprises a data collection module which is used for collecting the state data, process parameters and historical production data of production line equipment in real time, and achieves the data interaction with an equipment control unit through an Internet of Things sensor; and the AI data processing module comprises a time sequence prediction unit and an anomaly detection unit, the time sequence prediction unit adopts a long-short-term memory neural network to carry out trend analysis on the equipment state data, and the anomaly detection unit identifies deviation in the production process through a convolutional neural network. According to the method, a dual AI model fusing LSTM and CNN is adopted, and collaborative optimization of production state prediction and anomaly detection is realized; the work reporting instruction is quantified through a dynamic priority formula, and the problem that a traditional MES system depends on artificial experience is solved; and meanwhile, a learning feedback mechanism is reinforced to improve the adaptive capacity of the system, and different from the prior art driven by static rules, the multi-factory collaborative production efficiency and optimization are greatly improved through AI dynamic production scheduling optimization.

The invention discloses a business filling scene data acquisition method and system, a storage medium and electronic equipment, and the method comprises the steps: firstly storing filling historical data and domain knowledge into a vector database, and according to the current input of a user, searching related information, and combining the current input to generate a filling suggestion through a generation type large model; multi-modal information of the multi-end filling system is obtained, semantic understanding and information extraction are completed through a large model, and the multi-modal information is converted into structured data; mapping the structured data to a specified field by means of a field mapping rule; a data verification rule is designed, data verification is corrected through a rule engine or large model dynamic logic verification, and a verification result and a prompt suggestion are output; and finally, storing the processed and verified data, and providing data support for the user. According to the invention, the data acquisition efficiency is improved; the intention of the user can be predicted, corresponding suggestions can be provided, and the legality and accuracy of data are ensured.

A system (100) for context-aware timing ECO generation using hierarchical and flat design mapping, comprising: a design data acquisition module configured to import hierarchical and flat design data including netlists, timing reports, physical layouts, and design constraints; a contextual timing analysis module configured to detect timing violations in both hierarchical and flat design contexts; a hierarchical-flat mapping engine configured to establish bidirectional correspondence between hierarchical and flat representations of the design; an ECO opportunity identification module configured to identify optimal modification points based on timing improvement potential and minimal design disturbances; an ECO generation and optimization module configured to create optimized ECO scripts taking into account timing, power, and area constraints; a verification and validation module configured to confirm functional equivalence, compliance with design rules, and timing completion; and an ECO implementation and reporting module configured to integrate the validated ECO into the main design database and generate traceable change reports; where the system operates to generate context-aware ECOs that maintain design consistency in both hierarchical and flat design views.

An autonomous fraud / AML reporting system and methods are provided that are configured to automate SAR narrative generations using prompts to a generative AI service by an automated SAR narrative system. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform narrative generation operations which include receiving a SAR, loading a prompt template that is associated with generating a SAR narrative by the generative AI service, extracting SAR data corresponding to one or more of prompt input fields for the prompt template, creating an updated prompt based on the extracted SAR data and the prompt template, calling the generative AI service using the updated prompt, receiving a response to the updated prompt, combining the responses and generating and storing the SAR narrative.

An autonomous fraud / AML reporting system and methods are provided that are configured to automate validations of SAR narratives using a generative AI service by an automated SAR narrative system. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform narrative validation operations which include receiving a SAR narrative for a SAR, loading a prompt template associated with validating the SAR narrative by the generative AI service, injecting the narrative into the prompt templates, and generating and storing the validation based on the comparing.

The invention is suitable for an information management method technology, and provides a data management analysis method and system based on credit investigation information, and the method comprises the steps: obtaining credit investigation data information; constructing edge weights according to the agent variables to form a multi-dimensional credit graph, identifying communities with similar credit behaviors according to existing data, obtaining positioning similar crowds, and judging contribution degree scores according to contribution degrees of white users; constructing a multi-dimensional credit behavior trajectory diagram according to the real-time behavior data flow and the platform data, identifying abrupt change nodes in the trajectory diagram, and judging whether the behavior change forms a signal of credit risk offset according to the abrupt change nodes; and quantifying the positive or negative influence amplitude of each behavior feature on the final score according to the final score, obtaining updated evidence material information according to the score elements, and obtaining a new score suggestion value according to the evidence material information. The key problems that in a traditional credit investigation system, white users are difficult to model, the scoring result is static and rigid, and appeal cannot be fed back are effectively solved.

A platform for facilitating an automated IT audit. The platform may have a frontend allowing users to access the platform, a backend configured to perform processing, and a data collection system equipped to interface with connectors. The backend may include at least one server equipped to send, receive, store, and process data; a testing and analyzing system that may make use of algorithms, machine learning, and artificial intelligence in order to test and analyze the collected data against pre-configured best practice standards and policies, and a reporting system that may be configured to transmit the tested and analyzed data to the frontend. The backend system may be configured to opine on the data and generate specific recommendations about future developments of an auditee's IT infrastructure, allowing an audit to be completed automatically from start to finish by the use of the software, eliminating the need for human intervention.

The embodiment of the invention provides an insurance service session interaction method and device, equipment and a medium, and relates to the technical field of artificial intelligence or the field of insurance. In response to interaction triggered by a user, according to a first robot instruction text and a first user reply text of the current round of interaction, a reply result corresponding to a business process instruction of the current round of interaction in the first user reply text is determined. And when the first reply result represents that the business process instruction is completed, inputting all session contexts including the current round of interaction into the multi-round session large model to obtain a second robot instruction text of the next round of interaction output by the multi-round session large model. According to the method, the interaction instruction text of the robot in the next round is obtained according to the session context of the previous round or multiple rounds, the problems that an existing automatic case reporting system depends on fixed keywords and templates and is poor in flexibility are solved, the flexibility and accuracy of automatic processing of insurance services are improved, and user experience is optimized.

A water cooling / recirculating management system, including: a controller; a fluid displacement pump; a centrifugal separator; a germicide generator; a primary side stream magnetic field generator; an optional continuous, real time corrosion monitoring and reporting system; and a continuous, real time biofilm monitoring and reporting system.

A system for integrated data provenance and reconciliation across heterogeneous financial systems, the system includes: a data ingestion module implemented as a hardware interface and configured with high-throughput adapters for structured and unstructured data ingestion from multiple heterogeneous financial subsystems, including bank ledgers, securities trading platforms, risk management databases, and regulatory reporting systems; a schema harmonization processing unit consisting of a dedicated FPGA (Field Programmable Gate Array) structure configured to perform real-time schema alignment, metadata normalization, and semantic mapping across different data models; a lineage tracking processor array implemented on application-specific integrated circuits (ASICs) and configured to encode dataflow transitions into a graph-encoded structure in which each node represents a transformation and each edge represents a dependency; a reconciliation computation cluster unit embodied as a set of graphics processing units (GPUs) configured to execute parallelized reconciliation techniques, anomaly detection routines, and balance verification processes between transformed financial records and reference records; a cryptographic verification unit comprising secure key storage hardware, quantum-resistant encryption modules, and tamper-resistant enclaves configured to generate, anchor, and verify cryptographic signatures for provenance and reconciliation events; a secure storage subsystem configured in a WORM (write-once, read-many) configuration with hardware-based integrity locks for storing immutable provenance and reconciliation logs; a controller with a dedicated visualization processor configured to generate interactive dashboards and drill-down analyses of lineage charts and voting results; and a modular chassis structure consisting of a high-speed backplane interconnect, secure power distribution modules, and tamper-evident enclosures, enabling the system to achieve real-time scalability, hardware-level security, and auditability of financial data flows across heterogeneous infrastructures.

The present invention provides a cross-scenario question-and-answer framework for non-performing assets based on a knowledge graph, which involves the fields of artificial intelligence and legal technology. The framework includes a knowledge fusion layer that sets a multi-source data access module for acquiring heterogeneous data from legal and regulatory databases, judicial case libraries, corporate financial reporting systems, and asset trading platforms; configures a legal entity parsing engine that converts unstructured legal texts into entity-relationship-attribute triples that can be represented by a knowledge graph based on ontology mapping technology; sets a financial data standardization component that converts financial data in different formats into a unified semantic representation through predefined financial indicator mapping rules; the knowledge fusion layer of this framework can integrate multi-source heterogeneous data such as laws and regulations, financial data, and business processes through a multi-source data access module, a legal entity parsing engine, and a financial data standardization component.

The present disclosure provides embodiments of intelligent cabin management systems and methods. In embodiments, a system includes video cameras for capturing live video streams, an enhancement module for enhancing the live video stream, at least one analytics module for analyzing the enhanced video stream to generate analytics data, and a reporting system for reporting the generated data to at least one of avionics system, crew system and maintenance crew system. The at least one analytics module includes models trained to identify features and reconcile the same against known parameters to determine at least one of compliance and damage. In use, the system alerts crews to issues requiring correction or attention to ensure efficient cabin management.

Systems, methods and apparatuses include techniques for hybrid channel state information (CSI) measurement and reporting. A user equipment (UE) (130) receives, from a network entity (120), at least one channel state information (CSI) report configuration (104) including one or more CSI reference signal (CSI-RS) resources for channel measurement, and a plurality of codebook configurations. The UE receives, from the network entity, one or more CSI-RS resources (108). The UE transmits, to the network entity, a CSI report (112) based on the at least one CSI report configuration, where the CSI report includes one or more CSIs based on the one or more CSI-RS resources and one or more of the plurality of codebook configurations.

A threat detection and reporting system and method using AR glasses is disclosed. The system includes AR glasses configured to analyze sensor data of at least two built-in sensors to identify a threat and transmit information indicating the identified threat in real time, a smart device configured to receive the information indicating the threat in real time from the AR glasses and reports the threat in real time, and a threat detection platform configured to perform reporting to a relevant organization according to a threat reported in real time from the smart device.

The invention relates to an automatic news acquisition and submission system based on aggregation retrieval and large model controlled generation, which is characterized in that candidate news is acquired from a third-party news data interface through an information aggregation module, a purified text is extracted through a text extraction module of a multi-level degradation strategy, an optimal input is selected by a preferential retrieval module, and the candidate news is submitted to the third-party news data interface. And generating an abstract and a news brief report through a large model controlled generation module under the constraint of a system guard prompt and an original text fence, and performing automatic typesetting and publishing according to a template after cleaning and labeling. The method supports the bilateral pluggable design of the data source and the generation engine, has the characteristics of low illusion, high consistency, strong traceability, end-to-end automation and the like, remarkably reduces the labor cost, and is suitable for instituted news submission scenes in multiple fields of current politics, economy, science and technology, culture, military and the like.

A dynamic AI-based resource planning system and calculator for optimizing fieldwork in renewable energy construction projects, the system comprising: (a) a data collection module configured to collect real-time and historical data from sources such as worker attendance records, weather data, equipment usage logs and project management software; b) a predictive analytics module configured to process the data using machine learning algorithms to predict work needs, potential project delays, and task prioritization; (c) a resource allocation module configured to dynamically allocate on-site workers to tasks based on forecast results, worker availability, skill levels and project schedules; (d) an interactive planning interface suitable for the visualisation, modification and simulation of personnel plans and project activities in real time; (e) a Smart Operational Resource Dashboard (SORD) configured to monitor and display key performance indicators, detect anomalies, and issue automatic alerts; and f) a reporting module configured to generate work, productivity and compliance reports, The system continuously adjusts labor deployment in response to changing on-site conditions to improve work efficiency and project results.

A platform for facilitating an automated IT audit. The platform may have a frontend allowing users to access the platform, a backend configured to perform processing, and a data collection system equipped to interface with connectors. The backend may include at least one server equipped to send, receive, store, and process data; a testing and analyzing system that may make use of algorithms, machine learning, and artificial intelligence in order to test and analyze the collected data against pre-configured best practice standards and policies, and a reporting system that may be configured to transmit the tested and analyzed data to the frontend. The backend system may be configured to opine on the data and generate specific recommendations about future developments of an auditee's IT infrastructure, allowing an audit to be completed automatically from start to finish by the use of the software, eliminating the need for human intervention.

Safety test results generated in a safety testing system 31 are displayed to an operator for input, by receiving the results at a server 34; using a high integrity safety test reporting system 32 hosted thereon to pre-filter the results into a log file; passing the log file to a low integrity report viewer (e.g. commercial off-the-shelf (COTS) viewer or browser 35) embedded in the server; and operating the reporting system and viewer with a display device 33 to display the log file to an operator for input. The server may be cloud-based. The test results may relate to a rail infrastructure safety system 39,40. The safety test reporting system may meet EN 50129 SIL4 requirements whereas the report viewer need not meet any SIL requirements.

Systems and techniques are provided for wireless communications. For instance, a process can include obtaining information indicative of one or more configured performance values corresponding to interference prediction by a user equipment (UE). A recommended configuration of interference measurement resources (IMRs) and interference prediction resources for the interference prediction by the UE can be determined, wherein the recommended configuration is associated with the one or more configured performance values and one or more performance capabilities of an interference prediction machine learning network associated with the UE. The UE can transmit, to the network entity, information indicative of the recommended configuration for the interference prediction by the UE.

The utility model belongs to the technical field of cockpit integration and industrial design, and relates to an active reporting system for abnormal conditions of a driving unit. The system comprises a processing unit, and a camera, an active reporting key and a microphone array which are integrated in a cockpit, the camera is used for acquiring an action signal of a crew driver in real time; the microphone array is used for collecting voice signals of a driver crew in real time; the active report key is used for collecting an active report key signal of a driver; the processing unit is used for receiving an action signal, a voice signal and an active report key signal; and identifying a trigger action in the action signal, identifying a trigger statement in the voice signal, and identifying a key trigger signal in the active report key signal, so as to accurately judge the abnormal state of the driving unit.

A centralized budget dashboard and report system (CBDRS) includes a memory having non-transitory instructions stored therein; and processing circuitry coupled to the memory, and being configured to execute the non-transitory instructions, thereby causing the processing circuitry to cause a graphical user interface (GUI) to be output by a user interface (UI), the GUI including a first user input field configured to receive a first user input identifying an authorized user to log in to the CBDRS; in response to a successful log in to the CBDRS, obtain master data from the memory, the master data being associated with the authorized user; and update the GUI output by the UI, the updated GUI including a budget dashboard configured to display budget data associated with the authorized user.

A computerized communication device running an item tracking application comprising a CPU executing computer software instruction stored in an associated memory to create an item record to track an item. A computer server linked wirelessly with the computerized communication device wherein the computer server host a database comprising a plurality of item records. Each item record comprises a tag name for a tracking tag, an owner name, and owner contact information, and each item record further comprises a tag record encoded on the tracking tag.

A layered reporting system for an attraction may include a primary and secondary wireless communication network that are separate from one another. Components of an attraction environment, such as augmented reality / virtual reality headsets and a ride vehicle having a controller, may generate operation data of the attraction. The components of the systems may also include communication circuitry that communicates a first subset of the operation data to the primary wireless network. A second subset of the operation data is communicated via a secondary wireless network having a bandwidth higher than the primary wireless network.

The present invention relates to the field of intelligent target reporting technology, specifically an intelligent individual target reporting system and method thereof, wherein the system includes a target surface calibration module, a hit recognition module, an offset mapping module, a mode switching module, and a terminal output module. In the present invention, by collecting temperature data of a target surface sensor and analyzing a thermal expansion trend, the target surface can be calibrated more accurately, the impact point positioning can be corrected, the positioning of the shooting target can be optimized, and the accuracy of the shooting result can be enhanced. By recording the force vibration and ballistic characteristics of the target surface during shooting, the hit points that are inconsistent with the preset angle consistency are screened out, effectively improving the authenticity and reliability of the shooting data, monitoring the changes in the shooter's gun holding posture during continuous shooting, correlating the posture changes with the hit offset, helping to adjust the shooting posture, improving the overall accuracy of the shooting, and dynamically adjusting the shooting mode, so that the shooter can better adapt to different shooting environments, significantly improving the pertinence and effect of the training.

Systems and methods for determining and reporting actual utilization of a core of a central processing unit (CPU) of a host. Prior to implementation of aspects of the present disclosure, running a poll querying endpoints of a process for work appears to the host's operating system as busy work (e.g., taking full use of the core for the poll duration). However, only a percentage of the duration of the poll is used to process a task of the process, where the remaining duration of the poll is spent querying the endpoints (idle time) and the core is not performing a task. Accordingly, a core utilization reporting system and method automatically detects the processing time of the tasks of a process, determines actual CPU utilization of the core based on a percentage of the time the core is busy polling (doing effectively no work) versus doing actual work (processing a task).

Certain example embodiments herein relate to techniques that help automatically derive test scripts based on incidents reported using a trouble ticket reporting system or the like. Information is extracted from a support incident report related to an underlying incident reported via a ticket system. The extracted information includes one or more elements of a computer-implemented product implicated by the underlying incident and a category of incident. A test case is generated based thereon. If there is no test matching the generated test case already existing in a test repository, a new test based on the test case is generated using a generative artificial intelligence (AI) model, and the generated new test is stored to the test repository. Responsive to a developer fix being committed, one or more tests relevant to the developer fix is / are automatically identified and automatically executed.

Systems, methods, apparatus, and computer program products for beam management and beam reporting. A method may include receiving, from a network element, a configuration for reporting at least a new beam. The method may also include sending a report to the network element regarding the current beam, wherein transmission of the report may be triggered by whether the new beam satisfies a condition of the trigger event. The method may also include receiving, from the network element, a request to switch from a current beam to a new beam based on the report. Further, the method may include switching from a current beam to a new beam in response to the request.

A system and method for mobile reporting railway operation. The system may estimate a current geographic location of railway assets, defects, and items based on inputs of a global positioning system (GPS) receiver and a graphical user interface (GUI). The system may display a geographic area of interest to the user and estimate a location of the user client device based on the geocoded information. In this way, the user network can determine railway assets, defects, and item locations and corresponding updates in real time.