128 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 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.

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 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 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.

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 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.

The invention relates to the technical field of distribution network OCS self-healing strategies, and discloses a distribution network OCS self-healing strategy automatic simulation system, method, device and medium, and the method comprises the following steps: the system comprises a strategy analysis module, a fault modeling module, a simulation execution module, a result verification module and a report generation module; the established system can ensure that in a simulation environment independent of a real-time system, a self-healing strategy is automatically analyzed, a fault scene set covering a whole line section of a feeder line is generated, single-point / multi-point, multi-loop concurrent and remote control success configurable fault simulation is supported, and the fault simulation efficiency is improved. And a verification report containing abnormal positioning can be automatically output by triggering the self-healing logic to execute and compare the actual action with an expected result. According to the invention, reliable simulation detection of the self-healing strategy is realized, errors and omissions caused by manual operation are avoided, and the quality of the self-healing function of the distribution network is improved.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

An object of a system according to an embodiment is to provide support for efficiently clearing a game that has not been cleared by a player.SOLUTION: A system according to an embodiment includes a game information acquisition unit, a strategy analysis unit, an advice providing unit, an assist operation unit, and an auto play unit. The game information acquisition unit acquires information on a game that the player wishes to clear. The strategy analysis section analyzes a strategy method based on the game information acquired by the game information acquisition section. The advice providing unit provides advice based on the strategy method analyzed by the strategy analysis unit. The assist operation unit assists an operation of a player. The auto-play unit automatically plays a game.SELECTED DRAWING: Figure 1

The invention provides a coal seam gas dynamic monitoring and identifying system based on drilling construction, which relates to the technical field of coal seam gas monitoring and comprises a regional feature acquisition module, a comprehensive development evaluation coefficient acquisition module, a mining real-time data acquisition module and a monitoring strategy analysis module, the regional feature acquisition module is used for dividing a target coal seam gas development region into a plurality of sub-regions and acquiring multi-dimensional features and evaluation coefficients, and the multi-dimensional features and evaluation coefficients comprise coal seam fluid mechanics features and evaluation coefficients and coal seam geomechanics features and evaluation coefficients; according to the method, the modern information technology and data analysis means are fully utilized, the intelligent and automatic process of coal seam gas mining is promoted, the overall operation efficiency is improved, gas release can be better controlled through accurate monitoring and scientific evaluation, the influence on the surrounding environment is reduced, safe, efficient and environment-friendly mining of coal seam gas can be achieved, and the coal seam gas mining efficiency is improved. And sustainable development is promoted.

This invention relates to the field of natural language processing technology and discloses a content moderation method, apparatus, and device based on large and small models. The method includes: acquiring content to be reviewed provided by a submission channel; performing strategy analysis based on the content to be reviewed and its corresponding submission channel to obtain a review strategy, which includes a review mode, a review chain, and a calling model for each review node in the review chain; using the review mode corresponding to the review strategy, and according to the review chain, calling the corresponding large or small model at each review node in the review chain to perform compliance review on the content to be reviewed, and obtaining the target review result. This invention, through a submission channel, is applicable to content compliance review in various scenarios. By combining the advantages of large and small models, it selects a suitable model for compliance review at different review nodes, meeting the needs of real-time review, handling multimodal content, compensating for the shortcomings of a single model, ensuring review efficiency, and improving review accuracy.

The invention relates to the technical field of city management, and discloses a city governance command and dispatch system based on one-network unified management. Comprising a work order queue summarizing module for summarizing civil complaint work orders of the same work order type into a work order queue, a target jurisdiction marking module for marking a target jurisdiction from an urban jurisdiction, a target jurisdiction dividing module for dividing the target jurisdiction into an emergency jurisdiction and a common jurisdiction, and a work order strategy analysis module for analyzing a command and dispatch strategy of the civil complaint work orders. According to the method, the problems of cross-jurisdiction matching and misjudgment of similar or similar public conditions and meanings in different urban jurisdictions can be avoided, the recognition accuracy of the target jurisdictions is improved, and the emergency priority degree of processing and solving the civil complaint work order of the target jurisdictions can be expressed from different time dimensions of the past time and the current moment; different analysis logics and ideas are provided for subsequent command and dispatch strategies, and the effects of intelligent analysis, research and judgment and command and dispatch treatment of the public hotspots are guaranteed.

The application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, comprising: a data acquisition module, which is used for continuously collecting multi-category business data in an application scenario; a data transmission module, which is used for transmitting the obtained multi-category business data to an artificial intelligence analysis module; the artificial intelligence analysis module, which is used for automatically recognizing and matching the multi-category business data based on a multi-dimensional artificial intelligence detection analysis algorithm, and performing strategy analysis on the business data of the corresponding category based on the automatic recognition and matching result; a decision module, which is used for performing business coordination and association on the strategy analysis result in the application scenario, and performing decision analysis based on the business coordination and association result; and a control module, which is used for performing control operation on the equipment corresponding to each category of business based on the decision analysis result. The reliability and accuracy of the analysis on different categories of business data are ensured, and the intelligent level and processing efficiency of the intelligent central control screen are improved.

The invention provides an intelligent central control screen supporting an artificial intelligence detection analysis algorithm, and the intelligent central control screen comprises a data collection module which is used for continuously collecting multi-class business data in an application scene; the data transmission module is used for transmitting the obtained multi-category service data to the artificial intelligence analysis module; the artificial intelligence analysis module is used for carrying out automatic identification matching on the multi-category service data based on a multi-dimensional artificial intelligence detection analysis algorithm, and carrying out strategy analysis on the service data of the corresponding category based on an automatic identification matching result; the decision module is used for carrying out business coordination association on the strategy analysis result in the application scene and carrying out decision analysis based on the business coordination association result; and the control module is used for performing control operation on equipment corresponding to each type of business based on the decision analysis result. The reliability and the accuracy of analysis of different types of service data are ensured, and the intelligent level and the processing efficiency of the intelligent central control screen are improved.

The invention provides a strategy execution method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps of determining an object matrix of a to-be-screened object based on a plurality of conditions in a screening strategy and attribute information of the to-be-screened object; determining a matching result based on the object matrix and a strategy matrix of the screening strategy; and under the condition that the matching result shows that the to-be-screened object accords with the screening strategy, screening out the to-be-screened object. According to the technical scheme, before the strategy is executed, the strategy matrix is determined according to the screening strategy, in the strategy execution process, whether the to-be-screened object is screened out or not is determined directly through the strategy matrix, an asynchronous screening strategy analysis mode is achieved, a large amount of recursive calling does not need to be carried out on logic of the screening strategy in the strategy execution process, and the screening efficiency is improved. Not only is the function stack cost in the strategy execution process saved, but also the efficiency of processing the screening strategy is improved.

The invention relates to the technical field of intelligent decision making, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a motorcade business value processing strategy analysis method, device, equipment and medium, and the method comprises the steps: obtaining multi-dimensional feature data of a target motorcade, and recognizing the incidence relation between features in the multi-dimensional feature data; performing cross modeling analysis on the association relationship to obtain a value association factor of the target motorcade; analyzing a value control index of the target motorcade according to the value correlation factor; clustering and layering the target motorcade according to the value control index to obtain motorcades of different levels, and identifying initial value levels of the motorcades of different levels; correcting the initial value level by using a preset business rule to obtain target value levels of motorcades of different levels; and generating business value processing strategies of the motorcades of different levels according to the target value level. According to the invention, the accuracy of motorcade business value processing strategy generation can be improved.