17 results about "Identifying problems" patented technology

The invention relates to the technical field of enterprise management and artificial intelligence, discloses a management method for cooperatively solving problems based on multiple roles, and aims to improve enterprise problem processing efficiency and cooperative capability. The management method for solving the problem based on multi-role cooperation comprises the following steps: collecting and cleaning front-line work details through an employee client of a scenarized template; the AI processing module calls a fusion model of NLP semantic analysis, computer vision identification and time series data comparison, identifies problems from work details and generates a report; the role matching engine screens matched experts and pushes related information to an expert client to input a solution; after receiving the scheme, the decision-making client synchronizes a decision-making instruction to the execution main body; and the server storage module associatively stores the full-process information through the unique identifier to form a reusable corpus packet. According to the method, multi-role efficient collaboration and knowledge precipitation are realized, and a management closed loop is optimized.

The present invention disclosure provides a system for performing root cause analysis, comprising a processor and a memory, the processor is configured to at least one problem associated with running of an application by at least one user, wherein identifying problem includes determining a priority level of one or more services being impacted based on service level agreements, identify at least one root cause associated with the problem, identify one or more root cause corrective actions (RCCA) based on root cause and implement at least one RCCA for troubleshooting the identified problem. Further, the system generates a RCCA form for use by a user group for identifying and validating an additional RCCA and update the database to include the additional RCCA based on a quality score for the identified root cause corrective action. The system is configured to create a RCCA form, auto-fill the RCCA form, identify one or more RCCA implemented for the identified problem, and determine a quality score of the RCCA.

We provide the system. [Solution] Means of obtaining business data from users, A means of analyzing acquired business data and identifying problems, A means for generating specific instructions for artificial intelligence based on identified tasks, A means of presenting generated instructions to the user and executing them if selected, A means of monitoring the progress of work and preparing regular reports, A system that includes this.

This invention provides a control method and apparatus based on a lean manufacturing system, comprising: calculating the operational maturity value of a target lean manufacturing system to identify problems to be improved; constructing manufacturing strategic goals by comparing the target factory with business objectives based on pre-built quantitative indicators; streamlining the organizational structure based on pre-built lean processes, lean organizational structure, and lean departmental functions and responsibilities; constructing a multi-level key performance indicator system and a facilitating management meeting mechanism; and finally, constructing an implementation plan and controlling the target factory according to the implementation plan to achieve the optimization goals. This invention solves the problems of high deployment costs and poor application effects in existing technologies.

The invention belongs to the technical field of artificial intelligence and data management, and particularly relates to a method for discovering and generating problems through AI, which comprises the following steps: S1, receiving a natural language text of a service system as a work content, and distributing a global unique request identifier; s2, performing context analysis, standard comparative analysis and historical comparative analysis by adopting an AI problem discovery model; s3, fusing and sorting the content of the problem clue list based on the global unique request identifier, and generating a structured problem clue list; s4, querying a solution library according to clue attributes in the problem clue list, generating corresponding solution suggestions, and outputting the solution suggestions; and S5, according to metadata in the question clue list, a rule engine of the business system pushes the natural language question list and the solving suggestions to a corresponding terminal or system. The problem that problem grabbing is low in real-time performance and accuracy is solved.

The method includes receiving input describing marine equipment and at least one issue associated with the marine equipment. The method includes determining an identification of the marine equipment. Additionally, the method includes applying the input and the identification of the marine equipment to one or more machine learning algorithms. The one or more machine learning algorithms implement one or more rules that classify and identify problems in the marine equipment. The one or more machine learning algorithms are trained based on metadata for the marine equipment and components of the marine equipment. The method includes outputting at least one solution to the at least one issue.

This invention relates to the field of application development technology and provides a method for identifying duplicate change orders in engineering projects. First, engineering information is correlated and integrated to obtain an intermediate dataset with a logical order of project implementation. Text extraction and data cleaning are then performed on the intermediate dataset to form change order text data. Next, the change order text data are paired based on instruction keywords to form an instruction control group. Then, a dual-thread similarity framework is used to calculate the similarity between two change order text data in the instruction control group to obtain first and second similarity data. If the first and second similarity data meet the duplication condition, the instruction control group is considered as a duplicate change order. In this way, duplicate change orders can be automatically identified, allowing for timely detection of problems and mitigation of company losses.

The invention belongs to the field of nuclear power, and particularly relates to a nuclear power plant key information infrastructure asset management method and system, and the method comprises the steps: 1, designing a nuclear power plant key information infrastructure asset data field list; 2, intelligently drawing a network topological graph according to the nuclear power plant key information infrastructure asset data; 3, off-line acquisition, processing and storage are carried out on nuclear power plant key information infrastructure asset data; and 4, performing preventive maintenance analysis on the nuclear power plant key information infrastructure asset data. According to the invention, comprehensive, efficient and safe management of nuclear power plant key information infrastructure assets can be realized, and emergency purchase and equipment replacement frequency can be reduced by identifying problems in advance and taking measures.

We provide the system. [Solution] An analysis means installed on the user's terminal and used to analyze visual information displayed on the screen, A means for identifying problems faced by users using data obtained by the said analysis means, A means of presenting solutions to the user based on the problem identified by the specified means, A system that includes this.

The invention provides a model reasoning ability optimization method and system and a computer readable storage medium, in the method, a mixed training data set is generated based on multiple historical dialogue logs, fine-tuning training is performed on partial parameters of recall knowledge data in the mixed training data set, a loss function of a recall knowledge part is not calculated, and the optimization efficiency of the model reasoning ability is improved. The model can focus on reasoning logic optimization instead of external knowledge memory, and has the ability of self-adaptively identifying problem difficulty. Besides, a dialogue data backflow mechanism in a preset period continuously optimizes the mixed training data set, so that the reasoning ability of the model can be optimized in real time, the adaptation accuracy of computing resources is further improved, efficient utilization of the reasoning resources and parallel improvement of the accuracy of reasoning results are finally realized, and the reasoning efficiency is improved. The problems of reasoning resource waste and poor reasoning accuracy caused by static resource control in related technologies are effectively solved.

The system according to this embodiment aims to automatically identify problems in the office environment and propose improvements. [Solution] The system according to the embodiment comprises a collection unit, an acquisition unit, an analysis unit, a proposal unit, and an execution support unit. The collection unit collects sensing data from various sensors in the office. The acquisition unit acquires the calendar registration details of employees. The analysis unit analyzes the data collected by the collection unit and the acquisition unit to identify problems in the office environment. The proposal unit makes improvement proposals for the problems identified by the analysis unit. The execution support unit provides specific procedures for implementing the improvement measures proposed by the proposal unit.

The invention relates to the technical field of problem processing, and discloses a problem solving-based machine learning method, which comprises the steps of event input, problem identification, scheme matching and output, empirical corpus precipitation and updating and iterative optimization. After event phenomenon corpora are collected through an event input port, a user initiative question and AI intelligent mining double-path identification problem is adopted; the AI intelligent agent outputs implicit questions and priorities through corpus preprocessing, feature extraction and question recognition model analysis; matching an identification problem and an experience library problem with a solution corpus, judging a matching result through a semantic similarity algorithm and a dynamic threshold value, and pushing an unmatched problem to an expert for processing; the expert scheme and the problem are bound and stored in the experience library, the process is repeated to realize experience library iteration and AI optimization, and the problem processing efficiency and the experience reuse rate are improved.

The invention provides a weak spot diagnosis and path planning method for an English knowledge graph, relates to the technical field of natural language processing, and aims to provide a weak spot diagnosis and path planning method for an English knowledge graph by constructing a dynamic assessment model of cognitive uncertainty, a cause and attribution diagnosis mechanism of cognitive friction and a diagnosis and repair integrated closed-loop path planning method. And efficient and accurate diagnosis and self-adaptive repair of the weak points of the learner in the English knowledge graph are realized. The robustness and accuracy of weak spot diagnosis are improved, and misjudgment caused by instantaneous behavior disturbance is effectively avoided; through an accurate probe strategy of cause formation and attribution, interference to a learner is reduced, and meanwhile, the efficiency and depth of active diagnosis are improved; according to the method, automatic closed loop from problem discovery to problem solving is realized, and a structured cognitive repair path can be dynamically generated and executed according to a diagnosis result, so that the overall efficiency of personalized learning is improved.

The invention relates to the technical field of computers, and discloses an invalid log recognition and treatment method and system based on intelligent semantic judgment, which can remarkably improve the efficiency and precision of log management. Through a three-level progressive method combining rule screening and AI semantic evaluation, explicit and implicit invalid logs can be identified at the same time, and the operation and maintenance diagnostic value and the business information density of the logs are deeply evaluated. Meanwhile, based on resource consumption analysis, a high-cost log source can be accurately positioned, a governance report is automatically generated to push a research and development team to rectify, access interception can be configured on the platform side for a stubborn problem source, and invalid logs are reduced from the source. In addition, log analysis, rule matching, AI evaluation, report generation and pushing are integrated into an automatic process, problems can be automatically found, root causes can be automatically positioned, treatment measures can be started, manual operation and professional knowledge dependence of operation and maintenance personnel are greatly reduced, operation and maintenance efficiency is improved, and long-term management cost is reduced.

The invention relates to the field of intelligent operation and maintenance and energy efficiency management, and discloses a central air-conditioning system energy efficiency diagnosis method and device based on a large language model.The method effectively reduces the number of redundant rules and improves the physical rationality and calculation efficiency of the rules by constructing a variable graph of the system and conducting association rule mining under the constraint of the graph; the method does not need manual data annotation, can automatically discover energy efficiency abnormity under an unsupervised condition, is suitable for scenes lacking labels in practical application, and has stronger generalization ability; thirdly, a large language model is introduced, and automatic classification and causal interpretation are performed on candidate rules, so that the understandability of a diagnosis result is enhanced, and operation and maintenance personnel can conveniently and quickly position problems; the method can be applied to energy-saving operation and fault early warning of the central air-conditioning system, and helps to identify problems of operation abnormity, design deviation, equipment performance degradation and the like, so that energy consumption and operation and maintenance cost are reduced, and reliability and efficiency of system operation are improved.

This application provides a problem correction and tracking management method and system, relating to the field of management information technology, including the following steps: an information entry step, receiving and storing inspection item information input by the user, wherein the inspection item information includes at least the inspection area, problem type, inspection content, inspection unit, implementation standard, and assessment standard; a problem entry step, receiving the inspection items corresponding to the problems found in the inspection list generated based on the inspection item information, and supplementing the entry with problem information, wherein the problem information includes at least the problem description, assessment status, and the person in charge of problem correction and prevention. This application provides a problem correction and tracking management method and system that improves the efficiency of personnel in solving problems, saves manpower, and improves the management efficiency of daily problems by standardizing the entry and classifying problems from various sources, and generating a knowledge base based on historical problems.

The present disclosure relates to a scheme for discovering problems in building integrated design, comprising: preliminary planning drawings of different types of buildings obtained from one or more professional companies; performing data preprocessing on the preliminary planning drawings to create integrated original three-dimensional design drawings; investigating various types of problems existing in the original three-dimensional design drawings based on a graph model penetration analysis decision library model; and generating a problem investigation report containing specific data of the investigated problems; and a newly generated CAD drawing after modification in the three-dimensional design drawing.