36 results about "Plan analysis" patented technology

The invention provides an auxiliary decision-making method and an auxiliary decision-making system for construction project site selection in urban planning, and relates to the technical field of urban planning, and the method comprises the steps: obtaining a project site selection auxiliary decision-making system according to a whole chain of urban planning construction project site selection work demands; loading the geographic data; performing plot screening on the geographic data through a plot screening unit to obtain an intentional region plot set; performing multi-dimensional integrated analysis on the intentional region plot set according to a scheme analysis unit to obtain plot scheme multi-dimensional analysis information; and performing split-screen comparison and consultation and review decision on the plot scheme multi-dimensional analysis information and the intention area plot set based on a consultation and review unit, and determining a project site selection decision scheme. According to the method, the technical problems of low building project site selection data collection and analysis efficiency and lack of scientific land parcel evaluation means at present are solved, the working efficiency, scientificity and accuracy of building project site selection are remarkably improved, and sustainable development of urban construction is promoted.

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.

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 discloses a manual inspection dynamic planning method and device based on an Internet of Things platform and a medium, and relates to the technical field of the Internet of Things, and the method comprises the steps: carrying out the equipment quantization parameter calibration of equipment deployment data, so as to obtain an equipment importance degree score; performing multi-dimensional equipment anomaly threshold monitoring on the real-time operation parameters of the equipment to determine the number of times of equipment anomaly; based on the equipment importance degree score and the equipment abnormity frequency, obtaining a to-be-inspected object through equipment screening score analysis; performing inspection road section dynamic adjustment on the to-be-inspected object to determine an optimal path node sequence; according to the optimal path node sequence, performing planning constraint analysis on inspection scheduling to obtain a current inspection plan; and performing inspection planning analysis on the inspection parameters obtained by real-time monitoring to determine inspection planning update parameters. According to the method, the technical problem that the adaptation degree of industrial environment manual inspection planning making and the current industrial environment is insufficient is solved.

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 a regional information analysis system based on human-computer interaction, which relates to the technical field of regional information analysis and comprises a data acquisition unit, a terrain analysis unit, a road planning analysis unit and a human-computer interaction module. In the aspect of data acquisition and analysis, acquisition nodes are established by using a grid network to obtain rich data, a terrain analysis unit can accurately evaluate regional terrain level and fluctuation conditions, a road planning analysis unit screens nodes according to the data to determine a road planning route, and a user can easily select a region to input keywords. The system determines a matched theme through natural language processing and word vector calculation, triggers a corresponding analysis unit, is visual and clear in display result, meets individual requirements, and improves information acquisition and decision-making efficiency. In the aspect of practicability, the method is widely applied to the planning fields of cities, traffic, resource development and the like, particularly plays an important role in areas with complex terrains, accurately evaluates and plans, avoids resource waste, and assists regional development and construction and traffic convenience.

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.

To provide a planning analysis method capable of promptly executing analysis of the optimal plan without requiring prior domain knowledge about the planning object.SOLUTION: The planning analysis method analyzes the optimal plan where an optimization target is optimized based on multiple constraints and evaluation metrics. The planning analysis system generates multiple optimization patterns by combining constraints for analysis. The planning analysis system calculates an upper bound when the upper bound and the condition based on the evaluation index, when the condition corresponding to the state of interest that a user is paying attention to in the optimal plan is satisfied, are not met on each of the optimization patterns, and a feasible solution of the optimization is searched for under the conditions. The planning analysis method determines whether an optimal solution exists under certain conditions based on the upper bound and the feasible solution.SELECTED DRAWING: Figure 9

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.

A system and method are disclosed for performing assumption-based planning. The method includes generating and displaying an assumption creation GUI for creating assumptions, generating and displaying a planning GUI configured for selection of options and parameters, generating and displaying a goal selection GUI configured for a selection of goals for planning, generating and displaying a lever selection GUI configured for a selection of levers for planning, updating the lever selection GUI, generating and displaying an input adjustment GUI configured to display the levers and receive selections to toggle the levers on or off, performing a planning analysis using the selected goals and the selected levers, generating and displaying a planning analysis summary GUI configured to display the selected goals and the selected levers used in performing the planning analysis, and generating and displaying a response plan GUI configured to display a response plan based on the planning analysis.

To provide an analysis system and a program that can more easily provide accurate support information on the price variation of a financial product.SOLUTION: An analysis system for analyzing the price variation of a financial product acquires the daily price of the financial product, calculates, for each of a plurality of different price increase rates, the number of days required until the price of the financial product increases by the price increase rate on the basis of the daily price, calculates, for each of the price increase rates, the interest in a predetermined interest reference period on the basis of the number of days required, and outputs interest information for associating the interest for each of the price increase rates.SELECTED DRAWING: Figure 3

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.

To suppress a processing load in analyzing an optimum plan.SOLUTION: In a plan analysis method, a plan explanation unit 3 inputs second input information that perturbs a perturbation object of first input information with a plurality of perturbation patterns to a prescribed function based on an objective function and a constraint condition to acquire an evaluation value in generating explanation of an optimum plan being a result of optimization of an optimization problem including the objective function and the constraint condition. Then, it determines whether the evaluation value corresponds to a skip condition of optimization processing. When the evaluation value corresponds to the skip condition, a determination result associated with the skip condition is acquired instead of executing the optimization processing. Then, the degree of contribution to an attention state is calculated from a determination result of each perturbation pattern.SELECTED DRAWING: Figure 5

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 discloses an advertisement plan analysis system and method, and the method comprises the steps: carrying out the efficient fusion and automatic data cleaning and preprocessing of multi-source data through a data collection and preprocessing unit, and carrying out the extraction, construction and analysis of original data through a feature engineering and data analysis unit; the method effectively improves the expressive force of data and the reliability of a prediction result, introduces an iterative optimization and adjustment mechanism through an optimization and adjustment unit, effectively improves the performance and adaptability of a target prediction model in application, and achieves the purpose of continuously optimizing an advertisement plan.

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 relates to an optimal strategy planning and analysis method for matching survey lines for engineering applications. The method adopts a method of simplifying a route curve into a combination of finite line segments to determine the range near a route curve; a route library is established according to a set of survey lines accumulated from historical data; finally, based on a point-to-line segment distance algorithm, relevant screening condition parameters are set to screen all survey lines in an adaptation area, thereby realizing the screening of the optimal navigation survey line. The invention studies the selection of survey lines in a matching adaptation area by combining current matching means such as topography, geomagnetism and gravity, and searches based on a point-to-line segment distance method. On the basis of the establishment of a route library, the process of dividing regions for regional selection is abandoned in the final survey line selection stage, and route planning and analysis of survey lines is performed to obtain the optimal navigation survey line.