250 results about "Quality assurance" patented technology

An AI chatbot responds to the intent of a customer question by triggering an automatic workflow appropriate for the intention of the question. An information retrieval pipeline may be initiated to response to question corresponding to an information request. A Large Language Model may be initiated to generate a workflow to respond to other types of questions. The Large Language Model is provided with policies, tools and prompts to implement workflows. An evaluation engine evaluates factualness and helpfulness of responses to information questions and workflow intent accuracy and workflow appropriateness. Overall conversation resolution verification ay also be performed.

The invention discloses a product full-life-cycle traceability after-sales service system based on multi-source heterogeneous data, and relates to the technical field of product traceability after-sales management. Manufacturing resumes, work orders, spare part warehouse-in and warehouse-out and equipment logs are accessed, mapping of product instances, parts and software primary keys is established, and the product traceability after-sales service system is established. And normalizing the configuration change event into a configuration change event containing double time axes of effective time and warehousing time, and writing the configuration change event carrying differential operation, an evidence packet and an idempotent event identifier into an immutable event library. And constructing a conflict set for the same configuration target, executing uniqueness, causality and compatibility constraint verification, determining an effective event based on evidence packet arbitration, and outputting an arbitration record and confidence. And deriving a configuration version chain according to the effective event and generating a snapshot, performing incremental playback on the late or error correction event and generating an influence propagation list. And when any time point configuration is queried, playback restoration is performed, an evidence chain and confidence are output, an active verification backflow error correction event is triggered if the confidence is insufficient, and the accuracy of quality guarantee judgment and spare part matching is improved.

The invention relates to the technical field of computers, and discloses a chip mounter material tracing management method and system based on a knowledge graph. The method comprises the following steps: constructing a dynamic knowledge graph covering the whole process of a patch; injecting multi-source data in real time to drive dynamic updating of the atlas; when the materials are abnormal, reverse tracing and forward influence double-path reasoning are started; isolation, rework and reset instructions are automatically generated and pushed to a manufacturing execution system; and synchronously updating the atlas state to form an auditable record. The system comprises a dynamic knowledge graph construction module, a real-time data injection module, a bidirectional inference engine module, an automatic processing instruction generation module and a graph state synchronization module. According to the scheme, millisecond-level error positioning and closed-loop processing are realized, and the tracing efficiency and the quality guarantee capability are improved.

The invention discloses an internet e-commerce live broadcast dynamic management system, and relates to the technical field of internet e-commerce, the system comprises an e-commerce platform, the e-commerce platform is in communication connection with an information integration analysis module, a knowledge graph construction module, a commodity quality monitoring module, a trust rating module and a quality guarantee module, and the modules are in electric signal connection; and the information integration and analysis module is used for collecting and integrating commodity information, merchant qualification information and user evaluation information of the live broadcasting room to obtain an e-commerce information sequence table. By combining the machine learning algorithm and the knowledge graph, the commodity quality condition is monitored in real time, the commodity quality supervision efficiency is effectively improved, potential quality problems can be quickly identified, early warning notifications are sent to merchants and consumers in time, the merchants are prompted to rectify and modify in time, the risk that unqualified commodities flow into the market is remarkably reduced, and the market competitiveness is improved. The rights and interests of the consumers are guaranteed, and the credibility of the consumers on the e-commerce live broadcast is enhanced.

The invention relates to the technical field of financial science and technology and natural language processing, in particular to an intelligent financial cue word generation and optimization system based on a knowledge graph, which comprises a financial field knowledge base, a cue word element extraction module, a field specialization template library, a cue word generation engine, an evaluation and optimization module and a manual feedback and labeling system, the efficiency is improved, through template generation and parameterization configuration, the prompt word writing time is shortened, and the labor cost is remarkably reduced. And quality guarantee: the accuracy of professional terms is improved, the structural integrity and compliance coverage are remarkably improved, and the output deviation of a large model is reduced. And scene adaptation: the fields of security investment, financial analysis and the like are supported, and the cue word complexity and professional depth are automatically adjusted according to user roles (investors / analysts). And dynamic evolution: through real-time updating of the knowledge graph and artificial feedback learning, the system can adapt to financial environment changes (such as new supervision policies and emerging analysis methods), and continuously optimizes and generates strategies.

The invention relates to the technical field of logistics management, in particular to a digital logistics management system and method. The method comprises the following steps: collecting multi-dimensional environmental parameter field data around a cargo and biochemical index change data of a cargo body; constructing a permeability coefficient matrix of the cargo based on the multi-dimensional environmental parameter field data and the biochemical index change data according to a preset material library, wherein the permeability coefficient matrix is obtained by quantifying the interaction rate between different environmental factors and the material of the cargo; and calculating the current environmental influence intensity based on the permeability coefficient matrix and the multi-dimensional environmental parameter field data, and performing thermodynamic coupling analysis in combination with the biochemical index change data to obtain quality entropy increase rate data. According to the method, the problem that the cargo quality change is difficult to accurately monitor, predict and actively protect in the logistics process is solved through a method of combining the establishment of the permeability coefficient matrix and thermodynamic coupling analysis, and the whole-course digital management from environmental perception to quality guarantee is realized.

The invention relates to the technical field of electric power conductive parts, in particular to a busbar using a conductive extrusion molding material as a shield, which comprises the following steps: S1, selecting a high-voltage insulating conductive material; s2, raw material pretreatment quality detection; s3, carrying out extrusion molding on the high-voltage insulating layer; s4, extruding and coating the conductive shielding layer; s5, carrying out secondary extrusion molding on the double-layer insulation structure; s6, processing the cutting edge of the busbar; s7, bending and forming the busbar; s8, peeling and punching the busbar; and S9, packaging and quality assurance testing. The 70% high-voltage insulating layer (crosslinked polyethylene) is used for providing the excellent dielectric strength of at least 35 kV / mm, electric shock and short circuit accidents are effectively prevented, safe operation of a power system is ensured, the 30% high-purity copper or aluminum alloy conductive shielding layer achieves the electromagnetic shielding effectiveness larger than or equal to 80 dB, electromagnetic interference (EMI) is remarkably inhibited, and the service life of the cable is prolonged. The influence of electromagnetic noise on surrounding equipment is reduced, and the stability and reliability of the system are improved.

The invention relates to the technical field of information, and particularly discloses an online mall platform intelligent management method and system, and the method comprises the following steps: S1, constructing a data collection system, and obtaining platform operation data, user behavior data and external market data in real time; s2, acquiring historical sales data, analyzing the historical sales data by adopting a Prophet time sequence model, predicting a future sales trend and inventory requirements, and generating a dynamic replenishment suggestion; s3, optimizing inventory management through a dynamic programming algorithm, calculating an optimal inventory threshold value in combination with external market data, and performing automatic replenishment triggering; s4, establishing a user portrait according to the user behavior data, and generating a personalized coupon strategy based on a collaborative filtering algorithm; s5, dynamically matching the work order and the customer service according to a multi-attribute decision algorithm; and S6, storing quality assurance information, and ensuring non-tampering and traceability of construction time, material batches and technician ID data. Therefore, the operation efficiency and the user experience of the shopping mall platform are improved.

An assessment system can generate a software quality value based on testing results and analysis of a multitude of factors that impact a readiness evaluation. For example, the system generates a software quality score (e.g., an Applause Quality Score “AQS”) that enables development teams to understand the level of quality they are achieving for a given release and build-over-build. In various examples, the system generates a data-driven score to enable development teams or quality assurance teams to make decisions for when a build is ready for release. In further embodiments, the system can integrate user interfaces that present a software quality score in a user dashboard that is linked to version control systems. On review and acceptance of the score, a user can trigger the release of their new code or product.

The invention discloses an intelligent report generation system, method and device and a storage medium, and relates to the technical field of data processing, and the system comprises a main research agent which is used for multi-source data information collection and preliminary analysis; the report writing agent is used for converting the research result into a professional report; and the review agent is used for reviewing the professional report. A multi-agent collaborative architecture and a domain knowledge enhancement technology are deeply fused, a full-link quality assurance system including data credibility evaluation, multi-source cross validation and dynamic knowledge updating is established, and collaborative optimization of professional report generation in three dimensions of timeliness, economy and specialty is realized.

The invention discloses a circuit board image appearance comparative analysis system and method based on a large model, particularly relates to the field of circuit board detection, is used for solving the problem of multi-scale defect accurate detection, and aims at solving the problem of multi-scale defect accurate detection by analyzing significance distribution of global edge density and local texture contrast, extracting key features and generating dynamic scale factors. Constructing a regional association graph by combining the regional space and the significance difference, and realizing self-adaptive switching between a global focus and a local focus; based on the connection strength of the regional association graph, dynamically selecting a parallel convolution path, accurately extracting global and local features, generating a defect probability distribution graph through a feature integration technology, and accurately positioning and classifying defects; therefore, the precision and the robustness of circuit board defect detection are remarkably improved, false detection and missing detection are effectively reduced, efficient and reliable support is provided for quality control of the circuit board manufacturing industry, and the industry technical progress and the quality guarantee capability are integrally promoted.

The invention relates to the technical field of software engineering management, and discloses a computer software development information management system and method. According to the method, real-time multi-dimensional association among four entities, namely a demand entity, a code entity, a test entity and a deployment entity is realized by constructing a dynamic knowledge graph center, and an end-to-end closed-loop control system is formed; a full-link traceable network is dynamically established through explicit binding, implicit capturing and cross-layer traceability mechanisms, demand omission marks are automatically repaired, and accurate attribution of environmental problems is achieved; manual operation blind areas are eliminated through automatic means such as developing and submitting forced association, automatically freezing branches when test fails and deploying environment consistency verification; based on a risk thermodynamic diagram of full-link topology penetration and fusion defect density and change frequency, active early warning of a high-risk module is realized, and controllability and quality assurance capability of a software development process are remarkably improved.

Logic to drive workflow for various pivot points at various stages of workflow dispatch, translation, and quality assurance within various modern service delivery and translation management platforms to expedite speed of translation workflow process and improve quality of final translation product, while increasing computational efficiency and decreasing network latency. The logic profiles a source content recited in a source language, routes the source content among translation workflow processes within the logic to be translated from the source language to a target language based on such source profiling and satisfaction / non-satisfaction of corresponding thresholds to form a target content recited in the target language, profiles the target content recited in the target language, and performs a targeted process on the target content recited in the target language by corresponding routing of the target content among translation workflow processes within the logic if warranted based on such target profiling and satisfaction / non-satisfaction of corresponding thresholds.

Systems and methods are provided for implementing quality assurance for digital technologies using language model (“LM”)-based artificial intelligence (“AI”) and / or machine learning (“ML”) systems. In various embodiments, a first prompt is provided to an LM actor or attacker to cause the LM actor or attacker to generate interaction content for interacting with test software. Responses from the test software are then evaluated by an LM evaluator to produce evaluation results. In some examples, a second prompt is generated that includes the responses from the test software along with the evaluation criteria for the test software. When the second prompt is provided to the LM evaluator, the LM evaluator generates the evaluation results.

A non-transitory computer readable medium (26s) stores instructions executable by at least one electronic processor (14s) to perform a method (100) of monitoring a quality assurance (QA) procedure performed using a medical device (2). The method includes receiving a signal indicating a start of the QA procedure; analyzing video (17) of the medical device acquired after receiving the signal to detect one or more errors during the QA procedure; and providing a remedial action addressing the detected one or more errors.

A computing system receives live event data corresponding to a live game. The live event data includes events occurring within the live game. The computing system analyzes the live event data to identify a potential error in the live event data. The computing system generates a ticket corresponding to the potential error flagged in the live event data. The computing system assigns the ticket to a first quality assurance agent to resolve. The computing system receives an indication that the ticket has been reviewed by the first quality assurance agent. the computing system provides the reviewed event data to an end user.

A system and method for privacy-preserving workflow analysis that monitors user interactions with an application interface while maintaining data privacy. The system generates event data that excludes sensitive content while preserving workflow sequence information, enabling reconstruction and analysis of user workflows without exposing protected information. Event data is stored and used to reconstruct workflow sequences, which can be presented through a user interface for analysis, training, and compliance monitoring. The system supports multiple privacy contexts and can substitute synthetic data during workflow reconstruction, allowing organizations to analyze business processes without compromising sensitive information. The system enables comprehensive workflow monitoring and analysis while addressing privacy requirements in regulated environments, supporting use cases including quality assurance, training, and process optimization.

Code annotation quality assurance includes calculating complexity of a code portion, extracting one or more annotations associated with the code portion from the code portion, converting the one or more annotations into a set of textual features, quantifying the set of textual features, and outputting the quantified set of textual features. An alignment between the one or more annotations and the associated code portion is determined for the one or more annotations using quantification of the set of textual features and a complexity of the code portion, and a notification is triggered in response to determining that the one or more annotations are not aligned with the associated code portion.

The embodiments of the present disclosure provide a quality assurance method and system. The quality assurance method comprises: obtaining status information of a medical device; obtaining a target plan of a target subject; determining a prediction result based on the status information of the medical device and the target plan; and determining whether a quality assurance test is passed based on the prediction result.

Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules, such as in a successive manner, before automatically being merged into the existing IaC source code.

A system and method for implementing one or more real-time flight operations quality assurance (RTS-FOQA) systems and protocols is disclosed. RTS-FOQA systems assist pilots and other personnel in managing hazards and risks to protect the safety of passengers, pilots, flight attendants, crew, as well as people on the ground. The system is configured to capture voice data from the cockpit, recognize words spoken by the pilots, air traffic controllers (ATC), and other personnel; convert the recognized words into text; compare the text derived from the words spoken by the pilots, ATC, and other personnel to a standard operational procedure (SOP) sequence, wherein the sequence comprises a plurality of SOP operational steps; identify at least one of a plurality of flight operations executed by the pilots; compare the plurality of flight operations executed by the pilots with the required SOP operational procedures; identify at least one of the plurality of SOP operational steps not executed or incorrectly executed by the pilots; and alert the pilots if and when the pilots fails to execute or incorrectly execute any of the plurality of SOP operational steps. In addition to alerting the pilots of the deviation(s) from the SOP sequence(s), the system may automatically generate a SOP exceedance report for recording the SOP operational step(s) not executed or incorrectly executed by the pilot(s), as well as automatically execute an emergency response, automatically execute an evasive maneuver, and / or automatically implement an autopilot—E.G., initiate execution of remotely-piloted, semi-autonomous, or autonomous, arrival approach, and landing procedures.

Data flows and data processing modules are provided to fulfill the implementation of: contextualized data collection, scalable analytics, and machine learning operations quality assurance. These modules may be implemented as standalone components, and / or bundled as a group of coordinated microservices. The conversion of raw domain expertise and knowledge into data processors, analytics, and visualization modules for industry oriented Industrial Internet of Things (IIoT) solutions is streamlined.

The invention provides a water affair data analysis and management system and method based on a data model. The system comprises six core modules: the data model organizes water affair data in a layered manner according to characteristics and scenes; the data management module executes quality detection and evaluation and generates an access quality report; the data standardization module carries out standard processing on all the water affair data according to a preset standard; the data analysis module performs deep analysis on the standardized data and extracts features; the intelligent early warning module predicts an abnormal condition based on the data characteristics and historical data; and the data display module visually displays the analysis result and the early warning information. According to the invention, comprehensive integration, quality guarantee, deep mining and intelligent early warning of water affair data are realized, comprehensive, accurate and timely decision support is provided for water affair management, fine management and sustainable utilization of water resources are promoted, and the efficiency and scientificity of water affair management are significantly improved.

The invention discloses a power equipment supplier quality assurance assessment system and method. The system comprises a hierarchical structure construction module used for obtaining a hierarchical structure model; the evaluation index scoring module is used for selecting a scoring method and formulating and executing a scoring rule of each evaluation index; the judgment matrix construction module is used for constructing each level of index judgment matrix; the weight calculation module is used for calculating the weight of each level of index judgment matrix; the comprehensive weight calculation module is used for evaluating the comprehensive weight of the index in the whole model; the consistency checking module is used for carrying out consistency ratio testing on the judgment matrix; the evaluation module is used for obtaining a final evaluation result. According to the method, on the basis of the analytic hierarchy process, the efficacy coefficient method, the accumulative score deduction method and the interval assignment method are combined, and accurate and scientific evaluation of the quality assurance of the power equipment supplier is achieved.

The invention discloses a method for evaluating the surge current resistance of a silicon carbide diode. The method comprises the following steps: acquiring reverse I-V characteristic data of a device at different temperatures in a wafer test stage; according to the technology, a Frechet distance algorithm is introduced according to the positive correlation between the change rate of leakage current along with temperature and the surge peak current of a device. In the evaluation process, a judgment threshold value Dthresh is set according to the rated surge current, the sum Dtotal of Freet distances is calculated, and the surge current resistance of the device can be accurately evaluated by comparing the Dtotal with the Dthresh. As a nondestructive evaluation method, the device with high reliability can be effectively screened out in the wafer test stage, a solution is provided for the reliability of the device, and therefore the guarantee level of product quality is improved.

The invention relates to a system (100) for generating test scenarios using offline modeling and permutations, wherein the system (100) comprises a Quality Assurance (QA) application (101) necessitating authentication of one or more users to create a new project, comprising a scraper (102) for scraping the attributes of one or more User Interface (UI) elements within applications, a profiler (103) for constructing a centralized offline model of the application under test and generating the test case files using a test case engine (TCE) (104), an Automation Framework (AF) (105) for generating customized and tailored test automation scripts and an Artificial Intelligence (AI) (106) for automating the resolution of the issues encountered during the testing process. The present invention also discloses a method (200) for generating test scenarios using offline modeling and permutations.

The invention provides a data processing method and device, computing equipment, a storage medium and a program product, and the method comprises the steps: determining a target task, and distributing the target task to a target client; in response to a code submission request sent by the target client, processing submission information carried in the code submission request by using a task association model, and determining an association task corresponding to the code submission request; under the condition that the associated task is the target task, performing construction and test inspection on the target task; under the condition that the inspection is passed, a target version program corresponding to the target task is released, and a version report corresponding to the target version program is generated and sent to an associated client; the standardization and traceability of version release are improved, and the information transparency of cross-team cooperation is enhanced; the automation level, the quality guarantee capability and the cooperation efficiency of the software research and development process are optimized, and efficient and reliable version management can be achieved.

An Al chatbot responds to the intent of a customer question by triggering an automatic workflow appropriate for the intention of the question. An information retrieval pipeline may be initiated to response to question corresponding to an information request. A Large Language Model may be initiated to generate a workflow to respond to other types of questions. The Large Language Model is provided with policies, tools and prompts to implement workflows. An evaluation engine evaluates factualness and helpfulness of responses to information questions and workflow intent accuracy and workflow appropriateness. Overall conversation resolution verification ay also be performed.

The invention discloses an intelligent code writing and quality assurance system for multi-language code analysis, which relates to the technical field of intelligent code development and quality control and comprises a multi-language code analysis engine, an intelligent engineering management module, a self-adaptive compiler, an interactive console, a multi-dimensional instance library and a personalized configuration center, each module realizes real-time data interaction through a distributed data bus; the system supports more than 15 mainstream programming languages, new language support can be expanded through plug-ins, and the multi-language code analysis engine integrates static analysis, dynamic tracking and cross-language call detection functions. Static analysis identifies grammar errors and undefined variables through abstract syntax tree analysis. According to the intelligent code writing and quality assurance system for multi-language code analysis, the single-language limitation of a traditional system is broken through, conjoint analysis of programming languages is achieved, cross-language defect recognition accuracy is improved, and potential risks of multi-language projects are remarkably reduced.

The invention relates to a unit test generation method based on a large language model, which comprises the following steps: collecting code fine tuning data to obtain an original data set; preprocessing the original data set to obtain an optimized data set; generating unit test data according to a query problem and a code solution in the optimized data set; training a large language model based on supervision fine tuning through the optimized data set and the unit generation data to obtain a unit test generator; and generating a unit test result of the to-be-tested program through the unit test generator. The efficiency, accuracy and flexibility of the unit test generation method can be improved, and support is provided for quality assurance and test optimization in the software development process.