24 results about "Plan analysis" patented technology

An analysis system connects to a set of data sources and perform natural language questions based on the data sources. The analysis system connects with the data sources and retrieves metadata describing data assets stored in each data source. The analysis system generates an execution plan for the natural language question. The analysis system finds data assets that match the received question based on the metadata. The analysis system ranks the data assets and presents the ranked data assets to users for allowing users to modify the execution plan. The analysis system may use execution plans of previously stored questions for executing new questions. The analysis system supports selective preprocessing of data to increase the data quality.

The invention provides a planning analysis workflow intelligent arrangement method and device based on a natural language instruction, and the method and device can deeply understand the complex analysis intention of a plan in a natural language through a mixed analysis engine comprising a large-scale language model and a named entity recognition model. And according to the understood intention, a proper operator and a proper model are autonomously selected from a tool library in combination with a planning analysis knowledge graph, so that a complete, logic self-consistent and executable multi-step analysis workflow can be autonomously and dynamically arranged, the workflow is automatically executed, and multi-modal data is collected. According to the method and the device, the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis in the prior art are solved, and the method and the device have the advantages that the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis are solved; the planning work efficiency can be improved, the technical threshold is reduced, and industry digital transformation is promoted.

The invention discloses a grid planning analysis system and method based on a power distribution network, and belongs to the technical field of power distribution network planning, and the method comprises the steps: building a tracing cause model of load abnormality and spatial characteristics through collecting the power load, urban spatial characteristics and power grid historical data with a minimum power supply grid unit as a reference in a planning region; a quantitative incidence relation is determined, load prediction logic is constructed and verified, and a space-time dynamic load curve is generated; meanwhile, extracting three constraints of space time sequence, function linkage and environmental sensitivity in urban planning, respectively converting the constraints and power grid facility parameters into feature vectors, introducing an attention mechanism to calculate a dynamic matching degree, and screening schemes meeting requirements; the adaptive capacity of the power grid is evaluated by simulating scenes such as space function mutation, constraint adjustment and multi-fault linkage, and reverse optimization is carried out on substandard schemes; and finally forming a complete planning scheme including load prediction, constraint matching, an adaptation verification report and a dynamic adjustment rule.

The invention relates to the technical field of data processing, and particularly provides a double-engine-based SQL (Structured Query Language) generation method, system and device and a medium, and the method comprises the following steps: receiving a natural language query input by a user; analyzing the natural language query by using an intention understanding engine in combination with a dialogue context and a business knowledge graph to generate a structured query intention representation; utilizing an SQL generation and optimization engine to generate at least one candidate SQL statement based on the structured query intention representation and a vectorization database Schema library; performing execution plan analysis on the at least one candidate SQL statement, and performing performance evaluation and optimization rewriting based on an analysis result to generate a final high-performance SQL statement; and executing the final high-performance SQL statement and returning a query result. According to the method, the query success rate and the user experience in a complex scene are greatly improved.

The invention relates to the technical field of teaching planning, in particular to a professional teaching planning analysis system and method based on production-learning fusion, and the system comprises a post capability adaptation module, a course coverage recognition module, a resource distribution statistics module, a time period scheduling optimization module and a multi-element linkage module. According to the method, through accurate mapping between industrial post requirements and student abilities, point-by-point comparison between a course structure and ability requirements is combined, an ability vacancy interval in a course system is identified on the basis of dynamic data analysis, resource scheduling is optimized on the basis of a multi-dimensional data distribution relationship, and the resource scheduling efficiency is improved. Efficient matching of curriculum arrangement, practical training resources and site use multiple elements in different time intervals is promoted, real-time linkage analysis between teacher and student abilities and post requirements brings a continuous feedback mechanism for teaching planning, and the resource utilization level and the ability growth structure are synchronously optimized; and the dynamic adaptation relationship between industrial requirements and professional teaching is continuously strengthened.

The invention provides a cross-platform visual database execution plan analysis method and device and a medium, and belongs to the technical field of data storage. The database execution plan analysis method comprises the steps that a cross-platform support tool is used, standard SQL grammar is called, and an execution plan of each database in multiple databases is extracted; using a unified database execution plan conversion algorithm to convert the execution plan of each database into a unified intermediate representation format to obtain a standardized execution plan; displaying the standardized execution plan by using a graphical interface; analyzing potential performance problems of the execution plan according to the key analysis indexes of the execution plan, and generating optimization suggestions for the potential performance problems in combination with statistical information of the database table. The method can solve the problems that in the prior art, a unified interface and a display mode are adopted between tools, cross-platform use is complex, and display is complex.

The invention relates to the technical field of power grid planning and analysis systems, in particular to an online power grid planning and analysis system combined with a remote sensing map, which comprises a multi-source remote sensing data fusion module, a multi-source remote sensing data fusion module and a data processing module, generating a three-dimensional terrain model based on the satellite remote sensing image, the laser radar point cloud data and the terrain elevation data; and the power grid constraint region extraction module is used for performing power grid sensitive region identification on the three-dimensional terrain model. Through multi-source data fusion, power grid load prediction accuracy is improved, multi-target optimization is realized by using an algorithm, construction cost, power supply reliability and environmental influence are effectively balanced, power grid resource allocation efficiency is improved, and through the risk assessment module, high-risk power grid nodes are accurately identified, protection measures are taken in advance, power grid disaster resistance is enhanced, and power grid resource allocation efficiency is improved. Disaster loss is reduced, and power grid planning quality, operation efficiency and reliability are substantially improved on the whole.

The invention relates to a coal industry chain operation plan assessment method and device, equipment and a storage medium. The method comprises the steps of obtaining to-be-assessed data; determining an evaluation index of the multi-dimensional evaluation index system; determining an evaluation period, a simulation scene and time constraints, space constraints, occurrence probability and influence intensity related to the simulation scene, and obtaining scene setting parameters; a preset objective weighting method is adopted to calculate the weight of each third-level index, and a TOPSIS multi-attribute decision model is combined to calculate and obtain a comprehensive evaluation result; performing problem analysis based on the comprehensive evaluation result, generating optimization suggestions corresponding to the problems, and obtaining a plan analysis result; and generating a target evaluation report. According to the integrated operation plan evaluation method provided by the invention, automatic acquisition and analysis of index data and report generation can be realized, automation and intelligence of an evaluation process are effectively realized, and evaluation efficiency, accuracy and systematicness of a coal industry chain operation plan are greatly improved.

The invention discloses a computer control system for industrial automatic production, which relates to the technical field of industrial automation and comprises a data acquisition module for acquiring production data on a production line in real time and transmitting the data to a production data analysis module; the production data analysis module is used for establishing a production plan analysis model according to the collected data; the production scheduling module predicts the production plan by using a time sequence analysis method based on the output of the production plan analysis model, adjusts and optimizes the production plan based on the prediction result of the production plan, and generates a control signal; and the equipment control module is used for adjusting the working state of each piece of production equipment according to the control signal generated by the production scheduling module. Through deep integration and optimization of the modules, the automation level of the production line is improved, the production process is more flexible and efficient, changes of production requirements can be responded in real time, and the production efficiency and the resource utilization rate of enterprises are improved.

The invention discloses an SQL (Structured Query Language) statement analysis method and device, equipment and a storage medium. Comprising the steps of obtaining a to-be-analyzed SQL statement, generating analysis information according to the to-be-analyzed SQL statement, and performing index analysis on the to-be-analyzed SQL statement based on the analysis information to generate an index analysis result; obtaining an actual execution plan corresponding to the to-be-analyzed SQL statement, and analyzing the actual execution plan according to the analysis information to generate a plan analysis result; and generating a tuning suggestion according to the index analysis result and the plan analysis result. By obtaining the to-be-analyzed statement and generating the analysis information, automatic identification and analysis of the SQL statement are realized, and accurate data are provided for subsequent optimization analysis. The index and the execution plan are analyzed in combination with the analysis information, the accuracy of SQL statement performance problem positioning is improved, the workload of manual analysis is reduced, meanwhile, the analysis efficiency is improved, targeted optimization is achieved, and the potential risk of the database is reduced.

The embodiment of the invention provides a data processing method and a multi-agent processing system, and the method comprises the steps: determining a target analysis task, and generating a target user file corresponding to the target analysis task through a user agent; according to the target analysis task, the task data and the target user file, utilizing the management agent to generate a task execution plan corresponding to the target analysis task; generating a verification analysis plan and a verification subtask corresponding to the verification analysis plan according to the task execution plan by using the management agent and the analysis model; and executing the verification subtask corresponding to the verification analysis plan by using the management agent to obtain a task execution result, and generating a task analysis report corresponding to the target analysis task according to the task execution result. Through interaction cooperation among multiple agents, the analysis task can be autonomously planned when the target analysis task is processed, the attribution hypothesis is dynamically generated and verified, and a high-value task analysis report is generated.

The invention discloses an intelligent experiment management system and method for a sample injector, and the system comprises a plan analysis module which is configured to load and analyze a digital sampling plan; the sampling plan at least comprises a sample operation sequence and theoretical resource consumption data; the data sensing module comprises one or more sensors and is used for collecting physical state data in the experiment process in real time; the physical state data at least comprises identification information of a sample container, liquid level information of a reagent container and occupation state information of a reaction container; the prediction engine module is in communication connection with the plan analysis module and the data perception module, and the prediction engine module is configured to calculate a real-time experiment progress based on the physical state data and the sampling plan; dynamically predicting a future resource demand state based on theoretical resource consumption data, a real-time experiment progress and a resource consumption rate monitored in real time; and the progress output module is configured to output the real-time experiment progress and the future resource demand state.

According to the power grid maintenance plan analysis method and device, the storage medium and the computer equipment provided by the invention, the maintenance data is formed by automatically aggregating various maintenance plans and reclosing and reclosing modes in the power grid. On this basis, collision events possibly existing in the time dimension and the space dimension of the overhaul data are automatically recognized through space-time multi-dimensional collision detection, after corresponding optimization strategies are generated for the recognized collision events according to a preset multi-dimensional criterion, the overhaul data are modified according to all the optimization strategies, and the overhaul efficiency is improved. And finally, a scientific and reasonable power grid maintenance general plan is obtained. According to the scheme, on one hand, omission and delay of traditional artificial experience judgment are overcome, the analysis efficiency of maintenance data is improved, on the other hand, conflict events can be found and eliminated in time, and the feasibility and reliability of a maintenance plan are improved. Through the above process, data aggregation, conflict analysis and optimization, and full-automatic closed-loop processing of planning and generation are realized, so that the overall efficiency and the intelligent level of power grid maintenance work are improved.

The application discloses a wisdom cleaning strategy planning method and system based on fusion feature analysis, relates to the field of wisdom environment, solves the problems of low resource utilization efficiency and poor cleaning effect of the existing cleaning strategy planning method, and comprises the following steps: S1, acquiring cleaning planning basic data; S2, analyzing the cleaning planning basic data to obtain cleaning planning analysis data; S3, planning the cleaning frequency of a cleaning sub-region according to the cleaning planning analysis data; and S4, planning the real-time cleaning of the cleaning sub-region according to the cleaning planning basic data.The application can effectively improve the cleaning quality and the utilization efficiency of cleaning resources by dynamically adjusting the cleaning frequency through the acquisition of data with different characteristics, and can make the cleaning strategy timely respond to environmental changes by planning the real-time cleaning according to real-time image data.

The invention relates to the technical field of query optimization, in particular to a database query method and device based on adaptive optimization. According to the method, diversified candidate query execution plans are generated through a preset prompt set strategy and a genetic algorithm, the optimization space is expanded, the discovery probability of efficient plans is improved, and the precision of plan analysis is enhanced by performing feature extraction on the candidate plans; according to the method, the extracted features are analyzed by utilizing a risk model of a learning type optimizer, the execution performance of the plan is accurately predicted, and finally the target execution plan is selected according to an analysis result, so that the execution cost is minimized and the efficiency is maximized, the stability and adaptability of the optimization process are enhanced, and the execution efficiency of the database query plan is improved.

This application provides a distribution planning method, system, and device based on the ReAct framework. The method includes: acquiring and processing business indicators of the power system; inputting the business indicators into a large model, where the large model identifies problems within the business indicators; introducing the problems into the ReAct framework, and using the ReAct framework to retrieve knowledge content matching the problems from a knowledge base; monitoring the operation of the knowledge content in the power system, feeding the operational status back to the ReAct framework, where the ReAct framework generates an initial distribution scheme; feeding the initial distribution scheme and its execution results back to the ReAct framework's thinking phase, updating the distribution scheme using the ReAct framework, updating the distribution scheme multiple times, and recording each updated distribution scheme and its execution results, generating a final distribution scheme and an interpretable reasoning report. This solves the problems of low accuracy and processing efficiency in distribution network planning analysis.

An analysis system connects to a set of data sources and perform natural language questions based on the data sources. The analysis system connects with the data sources and retrieves metadata describing data assets stored in each data source. The analysis system generates an execution plan for the natural language question. The analysis system finds data assets that match the received question based on the metadata. The analysis system ranks the data assets and presents the ranked data assets to users for allowing users to modify the execution plan. The analysis system may use execution plans of previously stored questions for executing new questions. The analysis system supports selective preprocessing of data to increase the data quality.

This invention discloses a grid-based planning and analysis system and method for power distribution networks, belonging to the field of power distribution network planning technology. It collects electricity load, urban spatial characteristics, and historical power grid data within the planning area, using the smallest power grid unit as the benchmark. A causal model of load anomalies and spatial characteristics is established to determine quantitative correlations. This leads to the construction and verification of load forecasting logic, generating spatiotemporal dynamic load curves. Simultaneously, three types of constraints in urban planning are extracted: spatial temporal sequence, functional linkage, and environmental sensitivity. These constraints, along with power grid facility parameters, are transformed into feature vectors. An attention mechanism is introduced to calculate the dynamic matching degree, and suitable solutions are selected. By simulating scenarios such as spatial functional mutations, constraint adjustments, and multi-fault linkages, the adaptability of the power grid is evaluated, and substandard solutions are reverse-optimized. Finally, a complete planning scheme is formed, including load forecasting, constraint matching, adaptability verification reports, and dynamic adjustment rules.

An object of the system according to the embodiment is to generate a new material based on an original plan and create a storyboard.SOLUTION: A system according to an embodiment includes a plan analysis unit, an arrangement unit, and a storyboard generation unit. The plan analyzing section analyzes the original plan. The arrangement unit generates a new material on the basis of the result analyzed by the plan analysis unit. The storyboard creation section creates a storyboard based on the material created by the arrangement section.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of simulation technology and military informatization, and provides an efficient and intelligent battlefield scenario editing method, which comprises the following steps of: obtaining characteristic data of historical unqualified scenario schemes, constructing a scenario scheme analysis library, performing risk degree division on the scenario schemes in the scenario scheme analysis library, and obtaining a scenario scheme database; identifying a high-risk-degree scenario scheme; according to the high-risk-degree scenario scheme, clustering analysis is carried out on the high-risk-degree scenario scheme according to failure links, frequency analysis is carried out on each type of failure links, and high-frequency failure links are determined; in combination with a response measure of a high-frequency failure link, a response measure of the high-frequency failure link in a subsequent battlefield scenario scheme editing process is updated, critical value updating is automatically triggered when the proportion of an unqualified scheme exceeds the limit, a detection standard is promoted to evolve along with a battlefield environment, the failure rate of the scenario scheme in deduction is remarkably reduced, and the accuracy of battlefield scenario scheme deduction is improved. And reliable scheme support is provided for military training.

The invention belongs to the field of training course planning, relates to a data analysis technology, is used for solving the problem that in the prior art, targeted course planning analysis cannot be carried out by combining the learning progress of historical students, examination data and basic information of training students, and particularly relates to a training course intelligent planning method based on education management. Comprising the following steps: marking students performing course training as planning objects, acquiring preliminary screening information of the planning objects, and marking the preliminary screening objects according to the preliminary screening information; marking the secondary screening object through the secondary screening information; training efficiency and effect analysis is carried out on the secondary screening object, and an effect matching object and an efficiency matching object are obtained; according to the method, the historical students closest to the current states of the training students can be screened, and the matching degree of the planning course and the current states of the training students can be improved by taking the secondary screening object as an object of efficiency and effect analysis.

The system according to this embodiment aims to enable individuals to clearly understand their own financial situation and to create long-term financial plans. [Solution] The system according to the embodiment comprises a collection unit, a planning unit, and an analysis unit. The collection unit clarifies the financial situation. The planning unit creates a long-term financial plan based on the information collected by the collection unit. The analysis unit periodically analyzes the progress of the plan created by the planning unit and modifies the plan as necessary.

The present invention relates to the field of data analysis technology, and discloses a foreign currency exchange scheme analysis method, apparatus, device, and medium, comprising: receiving a foreign currency exchange request from a target user, extracting the target user's identity identifier based on the foreign currency exchange request; matching the target user's verification conditions based on the foreign currency exchange request and the identity identifier; performing a multi-polling verification on the target user based on the verification conditions; if the target user passes the multi-polling verification, sending the foreign currency exchange request to a preset business personnel terminal, and after receiving the exchange service completion information returned by the business personnel terminal, generating a foreign currency exchange receipt scheme for the target user based on the exchange service completion information. The present invention can improve the efficiency of foreign currency exchange.

The present invention discloses a rapid mapping method for flood frequency analysis, comprising the following steps: rapidly merging rivers within a planned analysis basin, using small basins divided by a DEM map as the original data of the rivers within the analysis range, and merging the small basins into the planned analysis basin; highlighting the basin range, highlighting the graphics within the basin range selection surface, and slightly darkening the part of the basin range to form a contrast, thereby highlighting the content within the basin range; rapidly splitting and arranging the annotation fonts of the rivers within the basin range, localizing the annotation fonts of the rivers within the basin range, setting all the character heads toward the north of the map direction, and displaying the annotation fonts distributed along the direction of the river; rapidly matching styles when mapping multiple files, wherein each river is in a separate folder during mapping, and during the mapping process, when modifying the line shape and text style, after modifying the first river format, the mapping formats of other images can be automatically matched.