10 results about "BASIC DATA STRUCTURE" patented technology

The invention discloses an unmanned aerial vehicle patrol and security monitoring linkage management method. According to the system, urban geographic information data and key monitoring area coordinates are acquired, hierarchical grid division is realized by using a quadtree spatial index algorithm, and a patrol task distribution basic data structure is established; solving an approximate optimal solution of the patrol path of the unmanned aerial vehicle by adopting an improved greedy strategy, and performing optimization adjustment according to technical parameters and weather conditions of the unmanned aerial vehicle; the unmanned aerial vehicle collects video data in real time through high-definition camera equipment in the patrol process, target detection is conducted through a deep learning model, and potential safety hazards such as personnel gathering and vehicle abnormity are recognized; detecting violent conflicts and illegal intrusion behaviors in combination with a time sequence analysis algorithm, and generating an abnormal event report; cooperative work of the unmanned aerial vehicle, the ground robot and the command center is realized; and a patrol scheme is dynamically adjusted according to meteorological conditions, and robot scheduling is optimized through energy consumption management.

The present application relates to the field of photovoltaic power generation, and more particularly to a double-sided photovoltaic tracking method and system based on a genetic algorithm. The method comprises: constructing a basic data structure based on multi-source data such as field station geographic time parameters and actuator constraint parameters; performing solar position and attitude geometric calculation to obtain solar geometric structure and candidate attitude geometric structure; inputting the solar geometric structure and the candidate attitude geometric structure into double-sided irradiation calculation to obtain front effective irradiation, back effective irradiation and shading factor; performing temperature calculation and electrical output calculation to obtain a candidate attitude power sequence and an energy index; performing fitness construction and feasible region processing to obtain a fitness evaluator and a feasible region processor; performing genetic algorithm calculation to output optimal strategy parameters and an angle curve, and generating a target angle instruction. The present application can realize collaborative evaluation and constraint optimization output of geometric, irradiation and electrical links, effectively improving the availability and stability of control instruction generation.

The application relates to the technical field of data processing, and discloses a parking behavior analysis method and system based on data mining and a storage medium. The method comprises the following steps: collecting data through a parking sensor network to construct a parking behavior basic data structure, a local interest point database and a global network configuration database; adopting a local-global feature interaction matrix algorithm to perform fusion processing to obtain a fusion feature matrix and a dynamic weight vector; performing clustering through a fusion density clustering algorithm to obtain a fusion clustering result matrix; and performing pattern recognition based on double-layer space-time mode mining to obtain a parking behavior space-time fusion mode library and a demand prediction result. The application solves the technical problem that an existing parking behavior analysis method based on data mining cannot effectively fuse local interest point features and global network configuration features, leading to a lack of significant correlation between analysis results and actual parking use modes.

The invention discloses an enterprise knowledge base construction method based on SaaS private deployment, and particularly relates to the technical field of enterprise knowledge base construction. The method comprises the following steps: firstly, deploying a knowledge base system in a private server or a private cloud environment, and establishing a basic data structure of users, roles, permissions and resources; constructing a permission graph structure of multiple types of nodes and edge relationships thereof based on the entities, introducing a role sensitivity coefficient and a role permission overlapping degree as node features, performing representation learning on the nodes by adopting a graph neural network model, and training the model in a self-supervision mode to generate a user access risk score; when the score is higher than a preset threshold value, triggering an access path analysis and strategy optimization suggestion generation mechanism, dynamically adjusting permission configuration, and synchronously writing an update result into a graph structure to realize closed-loop identification and optimization of permission risks; the method has the advantages of being high in visualization, accurate in recognition, fast in response and the like, and the intellectualization and safety of enterprise authority management are remarkably improved.

The invention relates to the technical field of data processing, in particular to a component data processing method, system and equipment supporting multi-type expansion, and the method comprises the steps that a basic data structure is defined, the basic data structure comprises a basic field and an expansion attribute field, and the basic field comprises a component type; receiving component data which is submitted by the front end and is represented based on the basic data structure; analyzing a component type in the component data; and according to the component type, routing the component data to a corresponding component processor based on a preset policy factory, and processing and storing the component data through the component processor. Thus, through the scheme provided by the invention, remarkable comprehensive beneficial effects can be generated in the aspects of unifying data processing, facilitating function extension, improving development efficiency and guaranteeing system stability.

The embodiment of the invention discloses an intelligent construction method and system for a semantic path structure of a conversation record, and aims to solve the problems that key semantic elements in the conversation record are dispersed and are difficult to structurally associate, and a general model is difficult to adapt to specific semantics in the field. The method comprises the following steps: carrying out analysis and role identification on a conversation text; extracting five types of elements including figures, behaviors, events, time and places from each statement based on a domain behavior ontology library to form a quintuple semantic unit; linking elements in the units according to the semantic dependency and the context relationship to generate a chained semantic path; fusing context information to generate vectorized representation of the path; and finally, outputting a storable and visualized semantic path structure. According to the method, an unstructured text is converted into a unified and computable chain semantic expression, and a basic data structure is provided for consistency analysis, conflict detection and evidence chain generation of conversation records.

The application relates to a kind of test data management and control methods based on service data construction, comprising: establishing service basic data structure model;Establishing service basic test data link model;According to test data number generation service, generate original test data;Based on original test data, set key field identification sensitive information;Non-original test data declaration and declaration audit;Actual test data application control, actual test data is sequentially carried out sensitive information identification, original check and non-original check, and check through test data and check not through test data are determined;Based on service basic test data link model, check not through test data is carried out full-link tracing and destruction.Compared with prior art, the application can actively and accurately identify sensitive test data, and trace and process sensitive test data link to improve the persistence and availability of business test data.

The application relates to the technical field of power system grid engineering management, and discloses a data management method and system based on a GIM model, which comprises the following steps: acquiring GIM model data; importing the GIM model data into a database to obtain database data; performing data recognition and judgment operations on the database data to obtain a recognition result, and performing attribute relationship matching operations according to the recognition result to obtain structured data; extracting attribute conditions and relationship conditions related to a current business demand type of the structured data, and determining the attribute conditions and the relationship conditions as query conditions; performing index query classification operations on the structured data according to the query conditions to obtain a final main data set; and performing initialization and data loading operations according to the final main data set to obtain a basic data structure and a complete data set supporting visual display of power grid engineering business. The method can solve the problems of intuitive expression and unified management of three-dimensional data of power grid engineering.

The application discloses a script-centered interactive driving scene generation system and relates to the technical field of interactive script generation, and specifically comprises the following modules: a script management module, a script arrangement module, a dependency propagation module, a narrative control interactive cooperation module and an execution output module; basic data structures of scripts are created, script attributes are distributed, script elements, constraints and logics are managed; scene nodes and events are identified, three layers of dependencies are constructed and weighted, reverse causal chains are generated through recursive dependency and depth-first search; dependency tables are maintained for each node, event-driven update and dirty node marking are performed, efficient dependency propagation and low-latency update are realized through a priority queue and differential generation; three levels of cooperation are divided to realize dynamic script generation and interaction, script control is realized based on a gated residual connection, a reverse causal chain and a time attention mechanism; an interactive execution layer is constructed, a real-time feedback mechanism is integrated, automatic script generation is realized and an executable format is output and displayed.

The invention discloses an open world standardization processing method and system, and the method comprises the following steps: S1, dividing an open world scene into a plurality of logic tiles, abstracting all to-be-managed scene objects into a unified basic data structure, and forming tile data associated with the logic tiles; s2, in a working thread independent of a main thread, based on the tile data, executing hierarchical loading, unloading management and integrated data rejection for the logic tiles; and S3, synchronizing the rendering data processed by the working thread to a main thread, and calling a graphic engine interface by the main thread to instantiate and render. According to the application, the load of a main thread is remarkably reduced, a unified data abstraction and tile management framework is realized on the architecture, different modules such as physical modules, illumination modules and audio modules can be accessed in the same normal form, redundant codes are eliminated, and the system complexity is reduced.