29 results about "Problem management" patented technology

Computer-implemented methods and systems are disclosed for Information Technology Service Management (ITSM). The pioneering AI-driven system revolutionizes IT service management by uniquely validating, suggesting, and inferencing incident and problem data. At its core are cutting-edge generative AI techniques like GANs and LLMs, requiring intricate training and iterative refinement on varied data sets, showcasing a depth of expertise in database structures and AI concepts. It bridges critical gaps in incident resolution and classification through cognitive computing, AI, NLP, and deep learning, applied to both historical and current data. The system comprises modules for Incident Validation & Classification, Resolution Validation, Generative Intelligence, Problem Probability Calculation, and Prevention Recommendation, each employing AI to enhance standard compliance, predictive analysis, and proactive management, thereby setting new standards for IT service management efficiency and effectiveness.

The invention discloses a Qiankun micro-front-end problem management system and method based on an AI large model and a storage medium, and relates to the technical field of software, the Qiankun micro-front-end problem management system comprises a Qiankun micro-front-end main project and a Qiankun micro-front-end sub-project, the main project is provided with a problem management page and a problem feedback switch, error data processing is carried out, an AI large model is called to analyze, error description problems are returned, and the Qiankun micro-front-end problem management system is and the sub-project collects errors, automatically captures the errors when the problem feedback switch is turned on, and reports the errors to the main project. Problem management is performed based on the Qiankun micro front end and by fusing the AI large model, the whole process of problem feedback-solution-query is realized, the problem is not required to be fed back manually by a user, related information of an abnormal problem is recorded automatically, problem library management is also realized, and the user can query autonomously and conveniently.

The invention discloses a monitoring system and method based on an enterprise WeChat group question answering service, and relates to the technical field of information monitoring, and the method comprises the steps: configuring an official authentication account with a session archiving interface calling authority in an enterprise WeChat external group, carrying out the natural language processing of a message text, and carrying out the call of a session archiving interface; the method comprises the following steps: extracting a question keyword set, generating a question semantic vector, establishing a to-be-answered task table, carrying out clustering analysis based on the question semantic vector, dividing questions into semantic categories, distributing tasks through a self-adaptive algorithm according to a teacher load rate, monitoring a special group through an enterprise WeChat API, capturing a complete session record after question answering is finished, and completing question answering. A session tree is constructed to analyze multiple rounds of dialogues, an answer file is generated, student IDs and timestamps are extracted from the answer file and verified with records in a to-be-answered task table, and the problems that in an enterprise WeChat group, question management efficiency is low, an automatic verification mechanism is lacked and missing answers are likely to occur are solved.

Embodiments of the present disclosure relate to problem management in a user system. The present disclosure relates to a method for problem management in a user system. A method can include detecting an error in a user system. A signature package can be provided in accordance with the detected error, where the package includes at least a script. The user system can use a signature of the package to verify authenticity of the package, and if the package is authentic, the script can be executed.

The invention discloses an electronic equipment commissioning and testing quality problem management system and method based on an algorithm model, and the system comprises a quality basic data maintenance module which is used for building a quality problem classification algorithm model through historical quality problem data, classifying problems, and giving quality problem types; the quality problem maintenance module is used for automatically retrieving and recommending similar historical problems and solving paths thereof according to fault features corresponding to the current quality problem; the quality data analysis application module is used for carrying out quantitative evaluation and trend prediction on potential risks in batch production; the expert experience knowledge base module is used for recording and carding the extracted historical quality problems and solving measures thereof to form an expert experience knowledge base, and storing solutions of the quality problems subjected to cross-department processing in the expert experience knowledge base when new quality problems occur every time; the method has the advantage that the management efficiency and effect of the quality problem are improved.

1. The name of the design product: electronic device problem management graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content and layout of the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram. 5. The use of the graphical user interface: the main view is the main interface of the evaluation system, and the evaluation supervision and problem management information can be viewed as a whole; clicking "problem management" in the main view enters the interface change state diagram, and the history of the account uploaded problems can be viewed.

According to the code read-write separation analysis method and device, the storage medium and the computer equipment provided by the invention, when code read-write separation analysis is carried out, the business code is triggered to be packaged and compiled, and the interface analysis is carried out on the business code, so that middleware configuration check is carried out on the basis of a plurality of interfaces using read-write separation annotations obtained by analysis; a configuration analysis report is generated, so that problems existing in middleware configuration can be quickly positioned, and a basis is provided for subsequent rectification; the configuration analysis report is compared with a middleware configuration result, interface detail data to be rectified are generated and displayed on a billboard platform, and automation and transparency of problem management and control are improved; and finally, after rectification feedback of the user on the interface detail data is received through the billboard platform, configuration verification is performed on the service code based on the rectification feedback, and a verification result is displayed on the billboard platform, so that a complete rectification closed loop is formed, read-write separation configuration of all the interfaces is ensured to be correct, and production faults caused by configuration problems are avoided.

The invention relates to the technical field of block chains and intelligent decision making, in particular to a block chain-based commercial housing resource information credible evidence storage and management system, which comprises an acquisition module, a preprocessing module, a Hash processing module, an uplink module, a calculation module, a management module and a control module. According to the method, credible evidence storage and effective management of commercial housing resource information are realized, and meanwhile, aiming at the problem of lack of optimization of system operation parameters for abnormal reasons in an existing block chain management process, the management module can automatically send instructions of correcting preprocessing parameters, uplink parameters, retransmission and the like according to different abnormal conditions, so that continuous generation of problems is avoided. The comprehensive management mode provided by the invention not only ensures the authenticity and credibility of the commercial housing resource information, but also improves the efficiency and reliability of data management, effectively solves the defects of the existing block chain management in the aspect of data exception handling, and provides safer and more reliable guarantee for the management and transaction of the commercial housing resource information.

The embodiment of the invention provides a business data quality problem management and control method and system, and belongs to the technical field of data quality management and control. The management and control method comprises the following steps: acquiring a data quality standard; constructing a checking rule base and a rule engine of the business data according to the data quality standard; according to the checking rule base, configuring a checking rule on a page of a business system; capturing input data of the business system; inputting the input data into the rule engine, and obtaining a checking result; and displaying the checking result in the business system. According to the business data quality problem management and control method and the management and control system provided by the invention, by adopting a mode of constructing the checking rule base and the rule engine according to the data quality standard, the reliability and the universality of data checking on different business systems can be effectively improved.

The invention relates to the technical field of problem management, and discloses an information processing method and device, equipment, a medium and a program product, and the method comprises the steps: receiving problem description information which is input by a user and is related to a vehicle from a first terminal, and obtaining a first type of the problem description information according to the problem description information through a neural network model; sending the first type to the first terminal, so that the first terminal displays the first type; when a second type of question description information is received from the first terminal, the first type and the second type are sent to a second terminal, and the second type is different from the first type; receiving an audit result from the second terminal, and determining a target type according to the audit result; generating problem data, and storing the problem data, the problem data including the target type. The subjective influence of setting the problem type by the user is weakened, and the problem that the definition of the problem type related to the vehicle is inaccurate is solved.

The invention relates to a management system validity auditing system comprising a basic operation management module used for uniformly managing notification announcements, knowledge sharing, organizations, user information, management system elements and a check table general library, and realizing information release and resource maintenance; the personnel scheduling module is used for task allocation and scheduling of project personnel and supports multi-dimensional retrieval and real-time synchronous display; the auditing management module is used for performing project whole-process management; the whole project process comprises project creation, plan making, online implementation, problem management and filing; the data statistical analysis module is used for generating a corresponding analysis chart and a trend statistical chart according to the labels and carrying out quantitative evaluation and trend analysis; the problem rectification management module is used for carrying out tracking distribution, rectification implementation and verification auditing on problems generated in auditing; and the permission management module is used for fine-grained configuration role menus and data access permissions.

The application discloses a new energy automobile product whole life cycle problem management method based on a knowledge graph, which comprises the following steps: step one: inputting a problem, searching the problem in a historical problem database to determine whether the problem is a repeated problem; if yes, step seven is executed; if no, step two is executed; step two: classifying the problem based on professional knowledge and experience to determine the type and nature of the problem; step three: finding measures for solving the problem in the historical problem database and proposing a problem solution; step four: evaluating the feasibility and effectiveness of the proposed problem solution; if the evaluation is passed, step five is executed; if the evaluation is not passed, step three is executed; step five: practically verifying the problem solution; if the verification is passed, step six is executed; if the verification is not passed, step three is executed; step six: uploading problem data to a data center to update the historical problem database; and step seven: completing the problem solution.

An architecture of an enterprise can be fully on on-premises with multiple computing systems or on cloud or on Hybrid. Enterprise information technology (IT) departments are continually adopting new technologies and changes leads more complex, and increased probability of service disruption, through malfunctions in software, hardware, networks, natural disasters, simple human error. Embodiments of the present disclosure provide a method and system to detect problem associated with the computing system in an enterprise. A plurality of data associated with each resource in the enterprise is received. The plurality of data is considered to iteratively perform (a) derive a parameter associated with a metric data, and an incident data to obtain an analyzed data, (b) detect a problem associated with each resources by processing the plurality of analyzed data based on a propositional logic, and (c) generate a feedback associated with each problem of the resources in a subsequent iteration.

The invention belongs to the technical field of digital finance, and particularly discloses a data quality checking system, which is used for checking the quality of data in a to-be-checked system, and comprises a quality rule configuration and management module used for maintaining a checking rule which is used for evaluating the quality of the data; the quality rule running and monitoring module is used for pushing a current checking rule to the to-be-checked system, receiving a checking result fed back by the to-be-checked system and monitoring the execution condition of the to-be-checked system; and the data quality problem management module is used for generating check problems according to check rules which do not pass execution, analyzing and processing the check problems, and connecting an external IT service management platform problem list management process. The method has the advantages that normalized check and management of transaction data are realized by periodically executing and operating check rules of the data quality check system, and a mode of passively waiting for supervision to discover data quality problems is changed into a mode of actively discovering and solving the problems from the source.

1. The name of the design product: electronic device's evaluation village added graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content and layout of the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram. 5. The use of the graphical user interface: the main view is the main interface of the evaluation system, and the evaluation supervision and problem management information can be viewed as a whole; clicking "village management" in the main view enters the interface change state diagram, and "add" and "delete" operations can be performed on the villages in each evaluation stage as needed.

The application relates to a problem management system. In the system, an adapter module obtains a user uniform authentication number and a device type of a user login device from a user uniform authentication system, and determines and displays a problem feedback interface matched with the device type according to the device type of the user login device and at least two sets of corresponding relationships between device types and problem feedback interfaces, so as to adapt to the current user login device. A user problem management module collects and manages problems based on the user uniform authentication number obtained by the adapter, responds to a problem information input operation on the problem feedback interface, obtains user problem information, sends the user problem information to a server through a problem flow processing module, and sends a processing result fed back by the server to a corresponding user login device for display. The adaptation of the problem feedback interface based on the user uniform authentication system and the device type of the user login device can realize problem collection and feedback on different devices, and repeated development is not needed, so that the development cost is reduced.

The invention relates to the technical field of project management, in particular to a project management system and method based on deep learning and big data technology, and the system comprises a unified technology foundation platform and a big data and deep learning analysis platform. The project management system further comprises a problem management module, a creative sharing module, a project cooperation module, a resource configuration module, an achievement warehouse module and an integral assessment module. Through the full-chain design of data acquisition, intelligent analysis, dynamic management and control and value precipitation, the power industry innovation project management requirements are met, and particularly, a 3i + 67N innovation mechanism can be supported; intelligent management and control of the innovation project from demand insight, creative incubation and resource allocation to achievement transformation can be achieved through fine management, cost reduction and efficiency improvement of an enterprise are assisted, and innovation driving is enhanced.

The invention discloses a workshop digital inspection method based on an AR technology, and the method comprises the steps: presetting an inspection table, items and requirements through a configuration module, automatically generating and distributing an inspection task, remarkably reducing the manual arrangement time and errors, improving the distribution efficiency, enabling an operator on duty to scan a two-dimensional code through a wearable AR device, rapidly entering an inspection interface, and improving the inspection efficiency. Equipment information and requirements are visually displayed, missing detection and false detection risks are reduced, inspection accuracy is improved, point inspection results are uploaded to a server in real time, data are collected in real time, input delay is avoided, the server analyzes the point inspection results and rapidly recognizes the equipment state trend and potential problems, managers rapidly find abnormities and make processing countermeasures, response time is shortened, and the efficiency is improved. Execution condition tracking and recording are carried out, problems are ensured to be solved in time, point inspection results, inspection and exception handling countermeasures are automatically summarized, monthly reports and statistical information are generated, the workload of manual reports is relieved, the inspection condition is visually displayed, managers are assisted to optimize the process, and efficiency is improved.

The invention relates to the technical field of distribution network low-voltage problem treatment, and particularly discloses a distribution network low-voltage problem treatment method and system based on big data, and the method comprises the steps: collecting voltage waveform data, current waveform data and load impedance data of a three-phase circuit in real time through a multi-source sensing device, and generating an original electrical parameter matrix; carrying out inter-phase difference feature extraction on the original electrical parameter matrix to obtain the phase offset, the impedance deviation coefficient and the power factor angle difference value of each phase; inputting the phase offset into a trained convolutional neural network for phase compensation amount prediction, and generating a phase reconstruction parameter set; a multivariable PI D controller containing impedance feedforward is constructed, phase reconstruction parameters and real-time impedance deviation are input, proportional gain and phase adjustment integral time are corrected through impedance, and cooperative control parameters of an overload phase are generated, so that the overall efficiency and stability of a power system can be remarkably improved, energy waste is reduced, the operation cost is reduced, and the reliability of the power system is improved. And a technical basis is provided for intelligent upgrading of a power system.

The application relates to an automobile assembly quality reoccurrence prevention problem management method and system, which comprises the following steps: detecting current assembly quality according to a problem characteristic prompt word to obtain current quality problem occurrence, wherein the current quality problem occurrence comprises an occurrence type of the current quality problem and a corresponding occurrence frequency; updating the level of a historical quality problem according to the current quality problem occurrence, wherein the updating comprises the following steps: screening quality problems of the same type from the occurrence type of the current quality problem and the occurrence type of the historical quality problem; if the occurrence frequency is 0 within an observation period, the level of the quality problem of the type is reduced; otherwise, the level of the quality problem of the type is increased; and for the remaining types of quality problems after screening, the type of the quality problem is divided into levels based on the type of the quality problem and the corresponding occurrence frequency. The application avoids the problem that a traditional static problem library becomes bloated and ineffective with the prolongation of use time.

The invention discloses a novel power distribution network cluster partitioning and multi-element cooperation composite electric energy quality problem treatment method. The method comprises the following steps: constructing a novel power distribution network voltage out-of-limit and harmonic wave out-of-limit composite electric energy quality problem treatment model; obtaining the voltage-power sensitivity among the nodes and the power reserve degree in each cluster based on the model, and carrying out the dynamic partitioning of the novel power distribution network based on the voltage-power sensitivity among the nodes and the power reserve degree in each cluster; and constructing a novel power distribution network multi-element collaborative composite power quality optimization model based on a partitioning result, and solving by adopting a multi-target particle swarm optimization algorithm to obtain a collaborative regulation and control instruction of the photovoltaic inverter, the energy storage converter and the traditional power quality management device. According to the method, cluster partition treatment is carried out on the system, so that the optimization variable order can be effectively reduced, the algorithm complexity is reduced, and meanwhile, the voltage level of an unqualified area can be better improved.

The invention provides a data governance method and device applying CMDB assets, and the method comprises the steps: carrying out the automatic data complementation of network access assets, and obtaining and storing the data as CMDB data; when the auditing task is triggered, reading CMDB data associated with the auditing task, obtaining an asset auditing model corresponding to the auditing task to evaluate the associated CMDB data, and generating an auditing report; and generating a rectification work order based on the audit report, and automatically auditing a rectification result to obtain a data governance result. According to the invention, the closed loop of asset auditing problem management is realized, so that the CMDB asset auditing is efficiently and automatically realized.

The present application relates to the field of audit informatization and intelligent processing technology, and particularly relates to an audit collaboration system fusing micro-service architecture and AI large model capability, comprising a micro-service cluster server, an AI large model training and inference server, a data storage server, a terminal device and a network communication device.The present application realizes deep fusion of micro-service framework and AI large model, enables AI capability to land in the whole process of audit project, basis, problem and model management, improves the intelligentization and collaboration level of audit work, has high flexibility and expansibility of system architecture, greatly improves the intelligentization level of the whole audit process, customizes AI processing logic for different audit business scenarios, solves the problem of single function landing of existing AI audit technology, reduces the system deployment and maintenance cost of enterprises, and is suitable for intelligentized collaborative work of audit project management, basis management, problem management and model management in enterprise internal audit, external independent audit and other scenarios.

The invention relates to the technical field of charging supervision of charging piles, and discloses a charging pile charging site safety supervision method and system based on big data, and the system comprises a charging pile charging working state detection module, a charging pile charging safety problem detection module, and a charging pile charging safety problem processing notification module. The dangerous condition type of the charging pile charging site is accurately analyzed by combining the panoramic real-time image parameters of the charging pile charging site with the intelligent search algorithm and the image parameters of different charging danger types of the charging pile charging site based on big data storage, and the refinement and processing speed of the safety problem management of the charging pile charging site are improved. According to the charging pile charging site danger type analysis parameters, the intelligent search algorithm and the charging pile charging site charging danger processing object notification parameters are combined to classify and screen the charging pile charging site danger processing object notification contact information, and the quality of charging pile charging site safety problem management is improved.

The invention discloses an excavator problem solving system and method based on intelligent terminal big data problem management, and the system comprises an APP which provides a template for problem feedback and is used for transmitting a reported problem to a cloud platform after a user fills in the reported problem according to the template; the cloud platform is used for analyzing and processing the collected submitted problems, dividing the submitted problems into two categories, namely a product competitiveness improvement category and a fault problem category, processing the product competitiveness improvement category and the fault problem category in different modes, determining solutions corresponding to the submitted problems, and pushing the solutions to the user; and the server is used for storing the reported problem into a corresponding database according to the type of the excavator. According to the method, problems are quickly solved through problem classification and level-to-level management and borrowing of big data and expert groups, the user can monitor the whole process to increase the sense of participation and improve the use feeling of the user, and a database of the user is established to provide forward research and development input for product upgrading iteration.

The invention relates to the technical field of data management, and relates to an engineering project problem management method, which comprises the steps of responding to a problem rectification flow initiated by a first client, and recording rectification content information and circulation information in the problem rectification flow; the circulation information comprises a rectification person and a rectification result reviewer; the rectification content information is stored in a database, a first to-be-handled process is created and initiated according to the rectification content information, and a second client corresponding to the problem rectification person responds to the first to-be-handled process; receiving a rectification feedback result uploaded by the second client, and sending the rectification feedback result to a third client corresponding to a rectification result reviewer; and receiving an examination result uploaded by the third client, and adjusting the rectification state of the problem rectification process according to the examination result. The invention further provides an engineering project problem management system and device and a storage medium. According to the invention, management personnel can conveniently integrate and manage problem data needing to be rectified in an engineering project.

A code hosting platform risk control system and method based on deep learning, comprising a risk control modeling platform and a risk control operation platform, the risk control modeling platform and the risk control operation platform are built on a cloud infrastructure, and the risk control of the whole life cycle of the code is realized based on the code hosting platform and the user center. The cloud infrastructure aggregates a large amount of computing, storage and network resources, and provides machine learning, deep learning, big data and other service capabilities; the code hosting platform provides code hosting, code review, progress management, quality management, problem management, continuous integration and other functions, realizes code hosting and collaborative development and continuous release; the user center stores the basic information of code visitors, submitters and collaborators, and combines the identity information to carry out user portrait and form an identity tag. The application can effectively identify the security risk of the source code, timely carry out risk early warning, continuously improve the model, improve the risk control accuracy and enhance the ability to discover unknown risks.

Embodiments provide an adaptive issue type identification platform for automatically determining an issue type in an enterprise-level software development issue-tracking application. Embodiments include receiving a request to generate an issue data object, causing initializing of the issue data object in a data store, causing display of an issue management capability selection interface, and receiving issue capability selection input in response to user engagement with the issue management capability selection interface. In response to receiving the issue capability selection input, the adaptive issue type identification platform fetches an operational capability set from a capability registry based on the issue capability selection input, causes the association of the operational capability set to the issue data object at the data store, determines an issue type identifier for the issue data object based on the operational capability set, and updates metadata associated with the issue data object to include the issue type identifier.

The invention discloses a data synchronization system, device and method from a problem management tool to a flying book spreadsheet application, and relates to the technical field of data processing. A system master control module starts and manages a data synchronization work module, and triggers a synchronization task regularly; the data synchronization work module calls data synchronization objects to perform query and retrieval operation on a database of a problem management tool through a database connection pool, and each data synchronization object adopts a flying book spreadsheet communication object instance to perform data refreshing on different spreadsheets of flying book background services; and the database connection pool is used for creating and managing database connection object instances. The problem ticket data in each engineering project of the new energy electric vehicle OEM can be periodically and automatically synchronized to the flying book online spreadsheet from the problem management tool, and the problem data can be automatically displayed from multiple dimensions by configuring the multi-dimensional sheet and the real-time billboard of the flying book system.