183 results about "Strategy analysis" patented technology

The invention discloses a multi-element sales planning agent system and method, and aims to improve the intelligence and precision of sales planning. The system comprises a collection module, an analysis module, an optimization module, a creation module and a generation module. The collection module is used for receiving multi-modal data such as marketing targets and extracting key marketing elements. The analysis module is used for generating a target user portrait and extracting marketing strategy analysis data. And the optimization module is used for calculating a medium putting weight by utilizing reinforcement learning and generating a medium strategy scheme. And the creation module generates a propagation theme and marketing content by adopting a generative artificial intelligence technology. And the generation module predicts a delivery effect by using a machine learning model and dynamically optimizes a medium strategy and a content scheme. Through multi-modal data fusion, intelligent analysis and optimization, closed-loop processing from data acquisition to marketing execution is realized, the marketing decision-making efficiency is improved, and brand promotion accuracy and market adaptability are enhanced.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The invention discloses a quantitative strategy natural language construction and interpretability auxiliary system based on a multi-agent collaborative architecture, and relates to the technical field of multi-agent systems, the quantitative strategy natural language construction and interpretability auxiliary system is provided with an interactive interface layer for receiving user strategy description and outputting strategy codes and interpretation documents, and an agent collaborative engine layer is provided with a central scheduling agent and the like. The function processing layer comprises an agent cluster with functions of strategy analysis, logic mapping and the like, is clear in division of labor and works cooperatively, such as a multi-level semantic analysis network, a dynamic clarification generator and the like of a strategy analysis agent, and can accurately extract strategy elements and the like; the system is further provided with a safety protection layer, input, output and data are safely processed, efficient natural language construction and good interpretability assistance of a quantitative strategy are integrally achieved, and the preferable characteristics of all agents are as follows, so that better performance is achieved.

The invention relates to the technical field of satellite communication, in particular to a high-orbit and low-orbit satellite communication resource scheduling method and system, which collects real-time state information of high-orbit and low-orbit satellites, performs digital simulation of a satellite network based on the real-time information, constructs a satellite network management model and predicts satellite trajectory change. The method comprises the following steps: performing multi-dimensional evaluation on a satellite network management model by using a pre-constructed network evaluation framework, generating cross-orbit link evaluation information, analyzing parameters such as link quality and bandwidth, obtaining current service demand information, analyzing a communication resource allocation strategy in combination with a cross-orbit link evaluation result, and formulating a resource scheduling strategy according to strategy analysis. And a high-orbit and low-orbit satellite communication network is constructed through execution of a hierarchical network management mechanism and a cross-orbit data transmission protocol.

The invention relates to the technical field of strategy analysis, and discloses an alpine grassland rapid restoration strategy analysis method, system and device and a medium. The method comprises the following steps: performing quality evaluation and restoration on an alpine grassland multispectral image to obtain a standard image set; spectral texture features are extracted, degradation classification is carried out, and a feature set and a score table are obtained; evaluating the degradation degree in combination with multi-dimensional indexes, and generating a distribution matrix and an index set; forming a repair scheme library and a parameter list through case analysis and parameter optimization; analyzing a restoration effect in combination with environmental data to obtain an index matrix and an evaluation table; and optimizing the monitoring data to obtain a strategy scheme and an adjustment parameter set. According to the method and the device, the degradation conditions of alpine grassland of different types and different areas are accurately identified, the restoration strategy can be dynamically adjusted according to the real-time monitoring data, and the restoration effect is improved.

The invention discloses an electric power information operation violation risk supervision system based on a knowledge graph, which relates to the field of violation risk supervision and comprises a dynamic graph construction module, a causal analysis module, a strategy analysis module, a strategy modeling module and a supervision decision module. The method comprises the following steps: obtaining multi-type electric power operation field sensing data and information system data, and carrying out data processing and knowledge graph dynamic construction to obtain a dynamic knowledge graph; performing risk situation quantification and risk decision point inference based on the dynamic knowledge graph to obtain a key causal decision point set; based on the key causal decision point set, through strategy logic analysis, obtaining a logic rule set which can be directly deployed and executed; according to the method, a logic rule set which can be directly deployed and executed is subjected to dynamic strategy evolution of a stochastic differential equation to obtain a dynamic strategy model, and the dynamic strategy model is subjected to decision optimal screening of measurement transformation to obtain an optimal supervision decision set, so that a risk value can be accurately calculated, and the supervision response speed can be increased.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The invention provides a line loss optimization system and method based on distributed photovoltaic topology analysis, and relates to the technical field of distributed photovoltaic, and the system comprises a topology connection module which is used for carrying out the topology connection, and building a distributed photovoltaic power distribution network topology model; the prediction modeling module is used for performing prediction modeling to obtain a photovoltaic output-power grid load space-time prediction model; the access position optimization module is used for carrying out photovoltaic access position optimization and obtaining a distributed photovoltaic optimization power distribution network topology model through iteration; the strategy analysis module is used for carrying out strategy analysis and determining power distribution network line loss control strategy parameters; and the feedback optimization module is used for carrying out simulation evaluation and carrying out feedback optimization on the power distribution network line loss control strategy parameters. The technical problem that the line loss control effect is poor because the line loss control strategy of the power distribution network in the prior art is often set based on experience and is not fully combined with the dynamic characteristics of photovoltaic power generation and load for real-time adjustment is solved.

The invention discloses a cloud collaborative docking station multi-link aggregation optimization method and system, and relates to the related field of data communication networks, and the method comprises the steps: a docking station collects state parameters of available network links in real time, carries out the application-level task recognition of a data flow, and obtains task features; uploading the link state parameters and the task features to a cloud control platform for link scheduling strategy analysis, and generating a link scheduling strategy; the edge agent completes decomposition processing of the task data according to a strategy to generate a task data packet; and the execution hardware performs aggregation according to link selection, fragmentation and scheduling strategies, records task completion quality, link performance and user experience indexes through the docking station, and returns the task completion quality, the link performance and the user experience indexes to the cloud control platform for iterative optimization. The technical problems of insufficient utilization of link resources, low data transmission efficiency and poor user experience in existing docking station multi-link aggregation optimization are solved, and the technical effects of fully utilizing the link resources and improving the data transmission efficiency and the user experience are achieved.

The invention discloses a remote monitoring cooperation system based on intelligent network connection, and relates to the technical field of cooperation control, and the system comprises a protocol analysis and normalization module which analyzes an original protocol message uploaded by a heterogeneous terminal, and generates standard event metadata; the arrangement scheduling module injects an execution token into a linkage execution sequence generated based on the standard event metadata and the strategy library, issues an action instruction, and triggers a remedial sub-process along a rollback edge when feedback is abnormal; the parameter intelligent setting module is used for generating an operation portrait based on the execution track log and obtaining a strategy parameter set based on the operation portrait; the intelligent cooperative processing module executes digital signature verification, certificate rolling rotation, deterministic transmission control and video adaptive adjustment according to the strategy parameter set; according to the invention, through organic combination of strategy analysis, arrangement scheduling, parameter intelligent setting and intelligent cooperative processing modules, automatic response and efficient control during coupling of multiple types of events in an intelligent network connection remote monitoring scene are realized.

The invention relates to the technical field of computers, and discloses a legal case strategy analysis method and system, electronic equipment and a storage medium, and the method comprises the steps: analyzing a to-be-analyzed legal case, extracting key information, and constructing a dynamic affair graph based on the key information; matching with a historical case database by adopting a multi-dimensional class case retrieval method on the basis of the dynamic event atlas, and retrieving similar historical cases; based on the judgment result information of the similar historical cases, performing analysis in combination with key information or a dynamic affair map of the to-be-analyzed legal case, and generating judgment result prediction of the to-be-analyzed legal case; and fusing the dynamic affair atlas, similar historical cases and judgment result prediction, calling a large language model adjusted by a law field instruction through a retrieval enhancement generation architecture, and generating a litigation policy analysis report with a preset structure part. According to the method, the automation degree and depth of case information processing are improved, and closed-loop generation from analysis to strategy is realized.

A business poly-intelligence application enabling the secure collection, warehousing, analysis, and reporting of manually shared and publicly sourced business strategy data is presented with systems, methods, and computer-readable media with a specific focus on crowdsourced cybersecurity strategy development.

The invention relates to the technical field of machine control, and discloses a chemical safety inspection robot control system and method based on sensor fusion, and the system comprises a data fusion module, a strategy construction module, a strategy analysis module, a real-time monitoring module, an optimization instruction module, and an event determination module. Original data of the chemical environment is fused into standardized data, and structural features are analyzed to identify risk factors; constructing a security situation map, mapping the security situation map to the robot, and determining a control strategy; when the robot begins to inspect, analyzing the control strategy to control the movement adjustment path action and the path safety inspection action of the robot; coding the movement adjustment path action and the path safety inspection action into a safety control instruction; optimizing the safety control instruction to obtain an optimized control instruction; when the robot completes inspection, an environment safety abstract and an abnormal event record are obtained; the control accuracy of the chemical safety inspection robot can be improved.

The invention discloses an electric vehicle charging pile charging control strategy analysis method and system, and the method comprises the steps: constructing a hypergraph structure fusing the charging pile space topology, demand association and power constraint, coding node features, and building hyperedge connection; feature learning is carried out by introducing an improved hypergraph neural network of a dynamic attention mechanism and combining real-time charging parameters; a three-dimensional feature tensor is constructed by fusing a charging pile multi-dimensional sequential control model with spatio-temporal data, and a charging parameter dependency relationship is mined to generate a prediction sequence and a matrix; an optimization objective function is constructed based on power grid, equipment and user conditions to generate a preliminary strategy, an actual charging data feedback fine tuning model is utilized, and an optimal control strategy is obtained through multiple rounds of iteration. The system is correspondingly provided with seven functional units including hypergraph construction, feature learning and the like to realize the process. The method can accurately predict the charging parameters, optimizes the charging strategy, and achieves the balance of the charging efficiency, the power grid load and the user cost.

The invention discloses a stainless steel water pipe production line maintenance method and system based on big data analysis, and relates to the technical field of water pipe production. The method comprises the following steps: locally calling a historical defect record based on a preset defect window; working procedure recording backtracking is conducted on the stainless steel water pipe production line, and N working procedure parameter sets are obtained; performing anomaly identification on the N process parameter sets, and performing process defect coupling analysis based on an identification result to obtain N groups of associated processes; deploying N edge nodes on the stainless steel water pipe production line; operating the N edge nodes in real time to carry out defect coupling trend analysis, and sending N operation and maintenance demand characteristics obtained through analysis to a production line maintenance cloud; and the production line maintenance cloud receives the N operation and maintenance demand features and performs operation and maintenance strategy analysis output according to the N operation and maintenance demand features. The technical problems that in the prior art, stainless steel water pipe production line maintenance strategies lack pertinence and are low in operation and maintenance efficiency are solved, and the technical effect of improving the maintenance strategy accuracy and the production line maintenance efficiency is achieved.

The invention discloses an intelligent asset dynamic monitoring method and system based on full life cycle management, and relates to the technical field of asset full life cycle management, and the method comprises the steps: carrying out the twinborn modeling based on the structure attribute information of a target asset, generating an asset virtual twinborn body, recognizing a key part, deploying a sensor, and constructing an asset multi-dimensional sensing network; acquiring asset operation data flow through the network, and mapping the asset operation data flow to twin monitoring and prediction to determine current operation state parameters of assets; constructing an asset full life cycle strategy according to asset management requirements, and matching a current state to obtain a current-stage management strategy of the assets; and determining management parameters based on stage strategy analysis, and performing asset decision management. The technical problems that in the prior art, it is difficult to accurately obtain the state data of all stages of the full life cycle of the assets, and accurate management and decision making of the assets cannot be met are solved, and the technical effects that the state data of all stages of the full life cycle of the assets are accurately obtained, and the accurate management and decision making requirements of the assets are met are achieved.

The invention relates to the technical field of network slicing, and discloses a wireless network multi-link communication method based on dynamic link configuration. The method comprises the following steps: collecting state data of heterogeneous links such as cellular links, Wi-Fi links and satellites in real time, and constructing a global network state view; analyzing the network slice SLA and converting the network slice SLA into a quantitative performance constraint; predicting the future performance of the link by using a gating circulation unit neural network; generating a global optimal data flow routing and distribution strategy meeting the QoS (Quality of Service) requirements of the slices in the central controller based on reinforcement learning; and compiling the strategy into a configuration instruction and issuing the configuration instruction to the terminal and the access point for execution. The system comprises a state sensing module, a strategy analysis module, a prediction modeling module, a strategy generation module and a configuration execution module. By means of predictive planning and intelligent decision making, dynamic, fine and on-demand scheduling of heterogeneous resources is achieved, and the network resource utilization rate and the multi-service service quality guarantee capacity are remarkably improved.

The embodiment of the invention provides a main data integration method and system based on index weighting, electronic equipment and a storage medium, and belongs to the technical field of data processing. According to the scheme, an evaluation system of main data is determined, and the evaluation system comprises evaluation indexes and corresponding weight values; obtaining a multi-source data set, wherein the multi-source data set comprises main data of a plurality of data sources; constructing a standard model, and performing data relation mapping according to the multi-source data set to obtain a data mapping relation; performing field scanning detection on the multi-source data set based on the standard model and the data mapping relation to obtain a scanning result, and performing weighted calculation on the scanning result according to the evaluation system to obtain a comprehensive scoring result; exporting a field full association table by referring to the comprehensive scoring result, and performing strategy analysis on the field full association table to determine a merging strategy; and integrating the multi-source data set according to the merging strategy. According to the scheme, the accuracy and efficiency of master data integration can be improved.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The invention discloses a retry strategy determination method and device, equipment, a medium and a product, and the method comprises the steps: responding to a call failure event of a first method, and obtaining call abnormal information of the call failure event and system state information when the call failure event occurs; preprocessing the calling abnormal information and the system state information to obtain a feature vector of a calling failure event, and taking the feature vector as a retry strategy analysis sample of the first method; and in response to triggering of retry strategy optimization analysis, inputting the retry strategy analysis sample into a pre-configured strategy optimization algorithm to obtain a method call retry strategy of the first method. According to the technical scheme provided by the embodiment of the invention, the problem that the statically configured retry strategy is not matched with the retry demand of the business scene is solved, and the retry strategy can be dynamically updated based on the abnormal information of the method calling failure and the system information, so that the business scene demand is met, and the retry success rate is improved.

The invention relates to the technical field of data processing, and discloses a capital project collaborative monitoring method and system based on a typical construction period. The method comprises the following steps: performing index correlation analysis processing on a multi-dimensional collaborative planning system to obtain a collaborative monitoring index system with a hierarchical structure and a data acquisition scheme; based on the data acquisition scheme, performing data acquisition according to the collaborative monitoring index system to obtain target acquisition data, and performing dynamic analysis processing on the target acquisition data to obtain a project monitoring data set; performing multi-level response strategy analysis processing on the project monitoring data set through a decision tree algorithm to obtain a collaborative response mechanism; and performing effect evaluation processing on an execution result of the collaborative response mechanism through an iterative optimization algorithm to obtain a construction period reference parameter set and a monitoring early warning rule. According to the invention, the efficiency and accuracy of capital project collaborative monitoring based on the typical construction period are improved.

The invention provides a lightweight large model operation method based on end-side deployment. The lightweight large model operation method comprises the following steps: acquiring equipment operation data and storing a model file in a mixed precision format according to quantization precision supported by terminal equipment; determining a mixing precision quantification strategy and carrying out strategy analysis on the equipment operation data; a Key-Value cache file obtained through model reasoning in the historical dialogue is reserved; calculating a semantic embedding vector of the second user request, calculating a cosine similarity between the semantic embedding vector and the first V vector, and judging whether the second user request has a similar intention or not according to a calculation result; and if yes, performing incremental reasoning on the second user request by multiplexing the Key-Value cache file. By monitoring the state of the terminal equipment in real time, dynamically adjusting the quantization level, multiplexing the cache data of the semantic related requests and merging batch request reasoning, the effects of balancing the energy consumption and performance of the terminal equipment, reducing repeated calculation and improving the service time of the equipment and the user experience are achieved.

The present invention discloses a visualized smart park management system and method based on AI analysis, which relates to the field of park management technology. The system comprises: a data processing module, a display strategy analysis module, and a visualization management unit; the data processing module divides the park business functions into business units, marks the data of each data sensor with the business unit in correspondence, and completes the missing data of the data sensor according to the correlation between the data; the display strategy analysis module calculates and analyzes the display priority of each display unit in the corresponding business function, sets the display strength of each business function according to the risk assessment value of the display unit in each business function, calculates the display time of each business function data, and monitors the marked risk display unit in real time to perform risk management; the visualization management unit uses the risk display section to display the risk display unit marked in real time, and uses the circular display section to cyclically display the display units in each business function.

The invention relates to the technical field of space planning, in particular to an intelligent optimization method for territorial space planning fusing multi-objective evolution. The method comprises the following steps: carrying out multi-modal territorial space characterization analysis on territorial space heterogeneous data to generate multi-modal territorial grid characterization space data; performing territorial multi-modal feature analysis processing on the multi-modal territorial grid representation spatial data to generate territorial planning unit multi-modal feature data; carrying out evolution trend analysis on the territorial planning unit multi-modal characteristic data to generate territorial planning unit evolution trend data; performing territorial space planning multi-target optimization strategy analysis based on the territorial planning unit evolution trend data to generate territorial space planning multi-target optimization strategy data; and carrying out multi-objective evolution territorial space planning intelligent optimization processing through the territorial space planning multi-objective optimization strategy data to generate territorial space planning intelligent optimization data. According to the invention, intelligent land and land space optimization planning is realized.

The invention discloses a waste heat recovery strategy analysis method and related equipment, and the method comprises the steps: firstly obtaining the flow and inlet temperature of each waste heat medium, and calculating the theoretical waste heat recovery power hour by hour in combination with environmental parameters and discharge temperature limitation; an energy conversion model is established based on the power and the equipment performance parameters, and a cascade framework is constructed according to the waste heat grade; and finally, by taking system energy efficiency maximization as a target, establishing an optimization model containing multiple types of constraints for solution, and obtaining an optimal equipment configuration and operation strategy. According to the cascade structure, efficient matching of waste heat and equipment is achieved, and recycling waste caused by mismatching is avoided; variable heat utilization requirements can be dynamically responded through hourly calculation and load constraint, and accurate space-time matching of waste heat and the requirements is achieved; the multi-constraint model enhances the multi-target optimization capability and makes up for the optimization deficiency in the prior art; the system planning process solves the problem of systematicness shortage of an existing method, the waste heat potential is effectively excavated, and the efficiency of the waste heat utilization comprehensive energy system is improved.

The invention relates to a big data strategy analysis system, which solves the technical problems of poor accuracy and low efficiency, and adopts an enterprise portrait analysis unit and a strategy push unit. The edge of the enterprise internal data acquisition and processing unit is arranged in an enterprise, the edge of the enterprise external data acquisition unit is arranged in the enterprise, and the enterprise portrait analysis and processing unit and the portrait result output unit are arranged in the cloud center; the enterprise external data acquisition unit also acquires strategy data; and the enterprise internal data acquisition and processing unit is used for processing the enterprise internal data into parameter score data required by the cloud center enterprise portrait and then transmitting the parameter score data to the enterprise portrait analysis and processing unit, so that the problem is well solved, and the method can be used for accurate strategy pushing.

A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.

The invention relates to the technical field of radar radiation type system simulation, and particularly discloses a radio frequency simulation dynamic game anti-interference environment simulation system and method. According to the interference environment simulation system architecture and the interference environment simulation method, environment signal detection is achieved, real-time dynamic updating of interference performance can be achieved according to detection results and confrontation strategy analysis and adjustment, dynamic game confrontation environment simulation can be achieved in radio frequency simulation, real battlefield interference environment signals can be simulated more vividly, and the interference performance of a battlefield is improved. The method provides support for performance evaluation of radar equipment in a complex electromagnetic environment, and has good popularization and application values.

A layup strategy analysis tool including a memory storing layup strategy analysis instructions and one or more processors configured to execute the layup strategy analysis instructions. During execution, the layup strategy analysis instructions obtain model data representing a three-dimensional (3D) model of an object to be formed using an automated fiber placement process. The layup strategy analysis instructions also obtain process data descriptive of the automated fiber placement process and one or more automated fiber placement machines. The layup strategy analysis instructions also generate output indicating a count of a number of tows that can be simultaneously applied during a single pass based on a geometry of the object and based on manufacturability constraints indicated by the process data.

A system and method for collaborative cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and creates a virtual network space that provides a virtual reality environment for collaborative insights into network dynamics during a cyberattack. makes recommendations for cybersecurity improvements to networked systems based on a cost / benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a virtual network space model of the networked system created using a virtual network space manager. A simulation interaction server can facilitate secure sharing of virtual network spaces and simulations between and among various real and virtual actors to provide a collaborative space where one or more organization's network can be tested for resilience and mitigation. Recommendations are generated based on an analysis of the simulation results against a variety of cost / benefit indicators.