149 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.

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 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.

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 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.

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 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.

The invention provides a multi-region traffic collaborative management and control system and method based on high-precision visual perception, and relates to the technical field of traffic management, and the system comprises a data collection module which is used for obtaining a traffic data set of a target region; the spatial-temporal feature extraction module is used for constructing a traffic network topology, performing spatial-temporal dependency analysis based on the traffic network topology and the traffic data set, and extracting spatial-temporal fusion features of the target area; the control strategy analysis module is used for carrying out collaborative decision analysis according to the space-time fusion features of the target area to generate a plurality of traffic control decisions; and the traffic strategy feedback module is used for transmitting the traffic control decision to the traffic control terminal to execute multi-region traffic collaborative control. The technical problems that in the prior art, due to the lack of high-precision data perception and comprehensive spatio-temporal feature fusion, traffic control decisions are not accurate enough and the collaboration is poor are solved, and the technical effects of improving the traffic control accuracy and the multi-region overall traffic capacity are achieved.

The invention discloses an optimal control system for adjusting a pitch angle of a wind generating set. The optimal control system comprises a data monitoring module, a strategy analysis module, a pitch angle control module, a safety margin evaluation module and a threshold iterative optimization module, according to the method, the clearance distance between the blades and the tower drum can be accurately monitored in real time, the control strategy is dynamically adjusted in combination with actual environmental parameters, the dynamic optimal power generation pitch angle special for the wind generating set is controlled and measured, and the optimal power generation efficiency is achieved. The problem that the optimal power generation pitch angle of a current mainstream blade is not matched with the clearance due to terrain, wind conditions and the like is solved, and the problems of frequent power limitation and shutdown caused by too small clearance of the blade of a unit at present are solved. And meanwhile, the control robustness is improved, and the problem of oscillation of the wind generating set caused by pitch angle adjustment is solved.

The present invention relates to the technical field of intelligence mining and analysis, and in particular to an intelligence mining and analysis method in an industrial scenario, comprising: obtaining various data sources, determining data states according to data source correlation and mining difficulty coefficients, and determining a strategy analysis method according to the data states; when performing extraction and analysis on sub-data, determining a processing method according to a dangerous sub-data distribution coefficient and a dangerous turbulence value to obtain a sub-data set, the processing method being to determine a first extraction method according to a dangerous end radiation coefficient and an end-internal sub-data correlation coefficient, or to determine a second extraction method according to a dangerous clustering area category; when performing selection and analysis on an associated source group, determining a clustering method according to a feature conversion coefficient and the number of data sources, and selecting a data source in the associated source group according to a data flow anomaly index, and using the sub-data corresponding to each selected data source as a sub-data set; the present invention can improve data mining efficiency in industrial production processes.

The invention relates to the technical field of digital marketing management, and discloses a Malus hupehensis cloud digital marketing service management platform. The system comprises a marketing service management module, a marketing data stability analysis module, a marketing strategy configuration module and a marketing execution optimization module. Wherein the marketing service management module collects global marketing data and constructs a multi-dimensional historical marketing data set; a marketing data stability analysis module traverses the data set for stability analysis, and outputs product, channel and user behavior stability factors; the marketing strategy configuration module takes the stability factors as indexes, and searches and determines a target marketing strategy decision value in a marketing strategy configuration space in a centralized manner; the marketing execution optimization module generates an execution scheme based on the decision value and optimizes execution process data in real time through a marketing strategy analyzer. According to the platform, the whole-process systematic management of marketing data is realized, the marketing management efficiency and strategy accuracy are improved, and enterprises are assisted to adapt to the change of a digital marketing environment.

The invention discloses a multi-site collaborative energy storage centralized control scheduling method, which relates to the technical field of multi-site collaborative energy storage, and comprises the following steps of: after an ambiguity condition of a scheduling strategy is identified, constructing a response mode vector based on a site historical scheduling behavior, and utilizing a response prediction model fusing a multi-head attention mechanism and a behavior trajectory transformation network to obtain a multi-site collaborative energy storage centralized control scheduling strategy; determining a site response behavior difference under the condition that the scheduling strategy has ambiguity; according to a site response behavior difference result, a strategy analysis prompt instruction is generated through a behavior deviation value mapping mode, the strategy analysis prompt instruction and an original scheduling strategy are combined to construct a structured scheduling strategy with a consistent analysis path, and unified analysis and constraint control of scheduling strategy execution logic are achieved. According to the method, the problem of multi-site response behavior difference caused by an ambiguous scheduling strategy is solved, unified analysis and closed-loop control of the scheduling strategy are realized, and the consistency and stability of cooperative scheduling are guaranteed.

The invention relates to the technical field of intelligent security and protection, in particular to an abnormal behavior warning device suitable for a high-density crowd place, which comprises a support structure and a functional module mounted on the support structure, and is characterized in that the functional module comprises a multi-mode sensing module, a double-strategy analysis module, an intelligent warning linkage module and a local data storage module; the multi-mode sensing module is electrically connected with the double-strategy analysis module, the double-strategy analysis module is electrically connected with the intelligent alarm linkage module, and the intelligent alarm linkage module and the multi-mode sensing module are electrically connected with the local data storage module; the multi-mode sensing module comprises an intelligent audio and video acquisition unit and a millimeter wave radar acquisition unit, and the intelligent audio and video acquisition unit is used for acquiring video pictures and audio signals of a high-density crowd place. The invention provides the abnormal behavior alarm device suitable for the high-density crowd place, and the device has the advantages of multi-scene adaptability, high recognition precision, low resource consumption and privacy security.