13 results about "Strategy implementation" patented technology

This application provides a strategy scheduling method, system, electronic device, and storage medium that combines method-level strategy encapsulation with pre-compiled execution, relating to the fields of software architecture and runtime scheduling optimization. The method encapsulates multiple strategy methods with the same predefined commonalities within each strategy category using a small number of methods, changing "class-level" encapsulation to "method-level" encapsulation to reduce the number of strategy classes at the source. It optimizes calls by replacing traditional reflection calls with pre-compiled execution handles and constructs a hierarchical concurrent caching structure, designing a concurrent index layer and a hotspot caching layer. High-frequency strategies are directly retrieved from the hotspot caching layer, and all strategies are distributed across the two caching layers to reduce hash collisions. A hotspot update mechanism maintains the caching of high-frequency strategies in the hotspot caching layer, improving retrieval and scheduling efficiency under high concurrency. Compared to traditional class-level strategy implementation schemes, this method achieves significant performance and resource optimization in scenarios with a large number of strategies and high concurrency scheduling.

The invention discloses a method and system for batch docking of logistics provider systems, and the method comprises the steps: creating a docking table for recording the basic information of each logistics provider interface, and creating the basic information of each logistics provider interface as a corresponding basic information group; a general strategy of each logistics provider interface is defined, one or more strategy rule items are pre-configured for each general strategy rule, and the strategy rule items correspond to the corresponding strategy rule item identifiers in the docking table; creating a corresponding strategy implementation class according to the specification requirement of each logistics provider interface, and mapping the general strategy and the strategy implementation class to a factory mode; configuring a common interface for uniformly calling each logistics provider interface; and responding to the initial logistics data returned by the logistics provider interface, and executing the torsion operation of the initial logistics data. According to the method and the system, the code programming amount in the docking process can be greatly reduced, the interface configuration time is shortened, and the stability and the expandability of the docking interface are improved.

The invention discloses an intelligent generation method and device for a fine-grained data access control strategy and a medium, and belongs to the technical field of data security and artificial intelligence. S2, data processing; s3, generating strategy parameters, acquiring an initial data set required by clustering by utilizing the stored user information and the access log, and acquiring required strategy parameters by combining a DAC (Digital-to-Analog Converter) algorithm; s4, storing strategy parameters; s5, constructing a strategy mechanism; and S6, strategy use: calling the strategy through the strategy decision point, obtaining related parameters in the knowledge graph, returning an access request result to the strategy implementation point, performing access control operation by the strategy implementation point according to the result, providing data if passing, recording an alarm log while providing data if giving an alarm, and refusing access if blocking. And generating an alarm log. According to the invention, intelligent generation of the data security access control strategy is realized.

The invention discloses an enterprise-level architecture modeling and layer-by-layer decomposition method based on a unified meta-model, which comprises the following steps: constructing the unified meta-model covering business architecture, data architecture, application architecture, technical architecture and security architecture domains, including defining core element types and cross-domain association relationship types of each architecture domain; according to the unified meta-model, enterprise-level overall architecture modeling is carried out, and an enterprise-level architecture asset library including multi-architecture-domain standard assets and dependency relationships thereof is generated; and step-by-step architecture decomposition design is carried out on a project to be implemented based on the unified meta-model and the enterprise-level architecture asset library, and a project-level architecture blueprint aligned with the overall architecture, a refined project demand specification and a landing technology design scheme are sequentially output. Through a unified meta-model and a layer-by-layer decomposition tracing mechanism, the problem of disjunction of semantic segmentation and strategic execution in cross-domain architecture modeling is solved, and collaboration, alignment and controllability of cross-domain architecture design are achieved.

The present disclosure provides a code automatic generation method, which can be applied to the field of artificial intelligence or other technical fields. The method comprises: in response to a request of a target user for initiating code generation, obtaining configuration parameters input by the target user; loading a pre-configured strategy component template, and generating an enumeration class and a strategy interface according to the configuration parameters and the strategy component template; generating at least one strategy implementation class by using the strategy component template based on enumeration values of the enumeration class, wherein the strategy implementation class is used to implement the strategy interface; and integrating the enumeration class, the strategy interface and the strategy implementation class to form a strategy mode code set. The present disclosure also provides a code automatic generation device, equipment, storage medium and program product.

The application discloses a method and system for batch docking logistics merchant system, comprising: creating a docking table for recording basic information of each logistics merchant interface, the basic information of each logistics merchant interface is respectively created as corresponding basic information groups; defining general strategies of each logistics merchant interface, each general strategy rule pre-configures one or more strategy rule items, the strategy rule items and corresponding strategy rule item identifiers in the docking table correspond; creating corresponding strategy implementation classes according to specification requirements of each logistics merchant interface, mapping the general strategies and the strategy implementation classes to a factory mode; configuring a public interface for uniformly calling each logistics merchant interface; in response to initial logistics data returned by the logistics merchant interface, performing a twist operation on the initial logistics data. The method and system can greatly reduce the code programming amount of the docking process, shorten the interface configuration time, and improve the stability and scalability of the docking interface.

This invention discloses an active monitoring system and method for power distribution substations based on scenario adaptation and multi-objective game theory. The system includes a scenario-adaptive active detection module, a multi-objective game theory decision-making module, an elastic execution module, and a federated optimization module. The scenario-adaptive active detection module identifies operating scenarios through multi-dimensional data and adaptively adjusts the networking mode and sampling frequency. It adopts a dual-channel design (main and auxiliary) to distinguish between false alarms and real anomalies by comparing data before and after interference, and completes anomaly classification. The multi-objective game theory decision-making module achieves differentiated isolation through risk grading, schedules idle resources to support complex anomaly handling, selects the optimal solution from three types of strategies based on game theory algorithms, and generates control commands. The elastic execution module performs anomaly isolation, resource scheduling, and strategy implementation operations. The federated optimization module aggregates de-identified data based on the FedAvg architecture, generates strategy parameter update commands, and sends them to the multi-objective game theory decision-making module for iterative optimization.

The invention discloses a logistics data acquisition method and system. The method comprises the following steps: pre-configuring a docking table, a general strategy and a strategy implementation class according to specification requirements of each logistics provider interface; respectively acquiring a corresponding target basic information group, a target strategy rule item and a target strategy implementation class from the docking table, the general strategy and the strategy implementation class based on the request task for acquiring the logistics data; logistics provider data assembly is executed; sending a docking request to a corresponding logistics provider interface based on the assembled logistics provider data, and obtaining initial logistics data returned by the logistics provider interface; and executing a torsion operation of the initial logistics data based on the target strategy rule item or the return content account sealing rule in the target strategy implementation class, and generating target logistics data. According to the method and the system, the logistics provider data assembly mode and the data torsion operation can be unified, and the accuracy of the target logistics data is improved.

This invention relates to the field of cloud computing technology, solving the technical problems of existing technologies having weak ability to capture short-term fluctuations, being prone to getting trapped in local optima, and lacking feedback evaluation of strategy implementation effects. In particular, it relates to a cloud-based smart agriculture information management method and system. The method includes the following steps: preprocessing the collected raw environmental physical signals and raw crop physiological images to obtain a multi-source agricultural cloud dataset; performing anomaly diagnosis based on the multi-source agricultural cloud dataset to obtain crop health reports and abnormal data; providing interpretable physical feedback for model updates; using online learning to achieve incremental parameter updates; and performing real-time feedback evaluation to avoid getting trapped in local optima and affecting the model's analytical capabilities, thus improving the accuracy of model analysis results; balancing the efficiency of optimal parameter search and utilization through Bayesian optimization of dynamic hyperparameter search; and finally improving model robustness through cross-validation.

The invention relates to a storage yard gridding illumination self-adaptive control method and system based on satellite positioning. The method comprises the steps of storage yard gridding and illumination unit deployment; collecting multi-source information in real time; digital twinborn construction and real-time synchronization are carried out; carrying out multi-dimensional simulation and optimization decision making based on twin bodies; and strategy execution and twinborn self-learning are carried out. The system comprises a physical perception and acquisition layer which comprises a storage yard gridding deployment module, an operation unit module and an environment perception module; edge computing nodes; the cloud digital twinborn platform is connected with the edge computing node through a cloud edge collaborative architecture and comprises a digital twinborn body construction and management unit, a simulation rehearsal and decision engine and a model training and optimization unit; an illumination control execution module; and a communication network module. According to the invention, comprehensive upgrading of the port storage yard lighting system in the aspects of self-adaptability, predictability, collaboration, safety and intelligence is realized.

The invention discloses a multi-agent code generation method and system, a storage medium and equipment, and belongs to the field of automatic code generation, and the method comprises the steps that an initial agent generates an initial meta strategy through deep problem understanding, and constructs a meta experience pool and a candidate strategy pool; iterative optimization of the meta-strategy is realized through multi-agent cooperation, and a final meta-strategy is obtained; converting the final meta-strategy into an executable code and a test case, verifying the executable code and the test case, if verification succeeds, outputting a final code, and if verification fails, entering reflection; closed-loop optimization of the meta-strategy is realized through causal analysis, experience is updated to the meta-experience pool, and the strategy is updated to the candidate strategy pool. According to the method, a four-stage closed-loop evolution framework including meta-strategy initialization, meta-strategy evolution, meta-strategy implementation and meta-strategy causal reflection is constructed, the autonomous evolution ability of the strategy from the primary level to the advanced level is achieved, and the method is particularly suitable for automatic solving of complex algorithm problems and competition-level programming challenges.

The invention discloses a global unique ID (Identity) strategy implementation method based on preloading and client caching. The method aims to solve the problems of performance bottleneck, single-point fault risk, global uniqueness guarantee and the like faced by global unique service identifier generation in a distributed system. Number segments are pre-allocated from a database in batches through a number sender system, and a client locally caches and automatically increases a consumption ID, and asynchronously requests a new number segment when the number segment is about to be exhausted. And the database is used as a final adjustor in the strategy, and the unique non-overlapping distribution of the number segments is ensured through transactional locking. According to the method, high-performance, high-availability, globally unique and approximately ordered ID generation under high concurrency is realized, and the loading capacity and reliability of the system are remarkably improved.

The invention relates to the technical field of big data. The dynamic data sub-library and sub-table strategy generation method based on large model driving comprises the steps of collecting operation indexes of a database and business, and obtaining a business data access mode portrait in combination with business topology and consistency requirements; according to the business data access mode portrait, obtaining a candidate sub-library sub-table strategy scheme through a large language model reasoning technology; performing risk assessment on the candidate sub-library and sub-table strategy schemes to generate a strategy verification list and a risk prompt; according to the strategy verification list and the risk prompt, an executable operation and maintenance operation manual is obtained through a migration path planning technology, and the executable operation and maintenance operation manual is used for being manually executed by a database administrator DBA; obtaining strategy implementation effect monitoring data according to the implementation effect of the executable operation and maintenance operation manual; and performing database and table division rule constraint extraction on the strategy implementation effect monitoring data to generate a strategy knowledge base.