274 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.

An AI-based platform for automated labor law compliance associated with mining operations is disclosed. The AI-based platform includes a governance system for a mining operation and a reporting system for conveying at least one parameter that is sensed by a sensor of a mine of the mining operation, wherein the at least one parameter is associated with a compliance of the mining operation with a set of labor standards. In some embodiments, the set of labor standards is associated with at least one activity performed by a laborer of the mine, and the AI-based platform conveys an indication of a performance of the activity by the laborer. In some embodiments, the set of labor standards is associated with at least one object associated with a laborer of the mine, and the AI-based platform conveys an indication of a detection of the at least one object.

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.

The invention relates to a player negative behavior detection method and system, electronic equipment and a storage medium, and the method comprises the steps: comprehensively collecting behavior data such as player operation times, chat content, combat data, position information and cooperation request response conditions in a single game; multi-dimensional detection data such as game behaviors, game performance and social behaviors are obtained by processing and analyzing data such as calculation of operation frequency scores and single behavior scores, construction of a position thermodynamic diagram, statistics of the number of negative words, calculation of cooperation request response times and the like, and the comprehensive operation frequency scores and single behavior scores of players are compared with expected scores. Comparing with scores of other players of the team to judge negative behaviors, and outputting prompt information. According to the scheme, the problems that an existing reporting system depends on active reporting of players, and the detection efficiency is low are effectively solved, negative behaviors can be detected more comprehensively and accurately, game fairness and a healthy environment are maintained, and the game experience of the players is improved.

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.

The invention discloses a fault self-checking and error-reporting system for a robot, and relates to the technical field of computer software, and the fault self-checking and error-reporting system comprises a power electrical detection module, a physical mechanical detection module, a software detection module, an ethical detection module and a fault feedback module. The power electrical detection module is used for detecting short circuit and overload fault conditions in a robot power electrical system; the physical mechanical detection module is used for detecting the fault condition of physical hardware, and the physical hardware comprises but is not limited to a motor, a sensor and electronic skin. According to the fault self-checking and error-reporting system for the robot, a plurality of modules are integrated, so that the operation condition of each component of the robot can be comprehensively and quickly detected and reflected, the fault detection and diagnosis efficiency is remarkably improved, maintenance personnel can quickly position and solve the fault problem, and the fault detection and diagnosis efficiency is improved. The maintenance cost and the maintenance difficulty are reduced, and the running state of the robot can be monitored in real time.

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 discloses a photovoltaic roof health monitoring integrated system for a railway station. The system comprises an information collection system which collects photovoltaic roof BIM three-dimensional model information and GIS model data and performs three-dimensional visual display; the equipment management system is used for monitoring states of various monitoring equipment and recording operation data; the early warning management system is used for analyzing the dynamic database set threshold value and the grade early warning abnormal data; the management and maintenance system automatically generates an inspection task according to a period and records an execution condition; and the reporting system is used for summarizing information, generating various reports and supporting export. The system solves the problems of multi-dimensional data integration, intelligent fault prediction and early warning, data transmission processing real-time performance, unified management and the like, improves the operation and maintenance efficiency and management cost, has flexibility and expansibility, adapts to different photovoltaic roof requirements, effectively makes up for the defects in the prior art, and provides comprehensive guarantee for railway station photovoltaic roof health monitoring.

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.

According to one embodiment, an Information Handling System (IHS) includes a memory to store a secure event log associated with one or more attributes of the IHS, and computer-executable code to obtain a system time from a system clock of the IHS, obtain a network time from a network time protocol (NTP) server, and compare the system time against the network time. When the obtained system time does not match the obtained network time, set a system clock attack chain vector in the secure event log and generate an Indicator of Attack (IoA) report based at least in part, on the system clock attack chain vector.

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.

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 commercial roofing screw machine has: a plurality of screw guns that each properly place and install screw and washer pairs, both securely and in the right location, from separate magazines; automated operation with automatic or manual fastening pattern selection; sensors to recognize insulation sheets or marking lines, the high and low rib on the decking through the insulation, and torque; an indicia generator that marks fastener locations that did not hold correctly; and wireless communications for remote status checks, new programming uploads, troubleshooting, issue and error reporting, communicating with like or complementary machines to complete tasks, communicating with a records and reporting system to document fasteners installed correctly and which ones failed and were fixed by humans, and other beneficial purpose, and enabling plans upload with feature locations identified to select a fastening pattern based on location on a building and wind uplift ratings.

The invention discloses an internet-of-things system and method for optimizing production scheduling of a cutting bed and a cloth paving machine in a clothing factory, and belongs to the technical field of the internet-of-things system for the cutting bed and the cloth paving machine in the clothing factory. The technical problem of low productivity is solved. According to the technical scheme, the system is characterized in that an Internet of Things platform collects equipment data in real time and transmits the equipment data to a data analysis module through a network; the data analysis module is used for analyzing the collected data by utilizing a machine learning algorithm, predicting the production completion time and evaluating the equipment performance and the resource utilization rate; the intelligent production scheduling module is used for performing intelligent production scheduling by utilizing an AI technology based on a data analysis result, and automatically optimizing production task distribution of a cutting bed and a cloth paving machine; the real-time monitoring module is provided with a large-screen display system which is updated in real time and is used for displaying the production progress of the cutting bed and the cloth paving machine in real time; and the data report module is provided with a multifunctional report system, supports export in various formats and self-defined analysis, and has the effects of optimizing and improving productivity.

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 and methods for generating and configuring integrity parameters associated with positioning measurements and calculations are provided herein. Integrity KPIs can be defined by a network node for positioning assistance information and location information reporting, and can be provided to a wireless device to assist in assessing the integrity level associated with a positioning estimation.

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.

The invention provides a data compliance monitoring and automatic reporting system, which comprises a data collection module which is used for embedding a data collection mechanism in a front-end application, capturing interaction data and front-end performance data of a user and the application in real time, and monitoring a data flow in real time; the data verification module is used for verifying the collected data to ensure the accuracy and integrity of the data, checking whether the data conforms to a preset compliance rule or not, and analyzing and identifying the data according to the preset compliance rule and algorithm to determine whether a potential compliance risk exists or not; according to the system, the data flow can be monitored in real time, the potential compliance risk can be found in time, the compliance risk in the data can be automatically identified through the preset compliance rule and algorithm, and once the risk is identified, a detailed report is automatically generated, so that the accuracy and efficiency of the report are improved, and the user experience is improved. The system can adapt to laws and regulations of different countries and regions, and can be flexibly configured according to needs.

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.