21 results about "Set operations" patented technology

This application relates to the field of fintech and discloses a dynamic hybrid parsing and deterministic verification system and method for fuzzy bond instructions. The system constructs structured data through an instruction preprocessing module; a routing decision module calculates complexity scores based on structure, semantics, and business characteristics, and generates path selection instructions using a resource-aware dual-threshold strategy; a hybrid parsing module responds to instructions, employing a rule engine to handle low-complexity tasks and a large-scale model with enhanced retrieval to handle highly ambiguous tasks; a fallback verification module performs confidence-weighted integration and logical consistency checks, and repairs anomalies through issuer set operations and edit distance matching; a mapping generation module constructs standard query statements using an abstract syntax tree; and a closed-loop optimization module dynamically updates parameters based on user interaction feedback. This invention effectively balances computational efficiency and parsing accuracy, eliminates model illusion risks, and achieves adaptive evolution of the system.

The system allows for flexible configuration of the decision-making criteria required for order processing, and outputs accurate order information based on the configured criteria. [Solution] A program for operating a computer comprising a processor and memory, the program causing the processor to perform the following steps: receiving setting operations for a plurality of judgment items necessary for a first AI model to execute order processing via a user interface; having the first AI model learn the received plurality of judgment items and tuning the first AI model to output order information relating to the order content based on the judgment results for each of the plurality of judgment items; receiving order information relating to the order content and extracting character information relating to predetermined characters from the order information; and inputting the extracted character information into the first AI model and causing the first AI model to output order information.

The application discloses a predictive maintenance method and system for a production line in an intelligent manufacturing industry, and belongs to the technical field of data processing. The method comprises the following steps: after the production line in the manufacturing industry continuously operates in a working state and reaches a set operation cycle or abnormal fluctuation occurs, basic working condition characteristic parameters of the production line in the manufacturing industry in a preset time period are called, the operation state of a cooling device of the production line in the manufacturing industry is analyzed based on the basic working condition characteristic parameters through a machine learning algorithm model, a health score is generated, and a corresponding operation result label is given; when the operation result label is accurate, the current operation state is maintained; otherwise, based on the operation state of the cooling device, an operation result verification label is determined, and a maintenance adjustment scheme is obtained synchronously; consistency between the operation result verification label and the operation result label is judged, and the technical problem that the predictive maintenance is not accurate due to the prediction deviation of the operation state of the equipment in the prior art is solved.

This invention discloses a SysML-based visual modeling workflow configuration method, comprising the following steps: creating system design stages and sub-stages through a visual interactive interface, and setting operation items for each sub-stage; establishing a dynamic association mapping relationship between operation items and system modeling language model elements based on the semantic association method of the system modeling language, and converting it into an independent configuration file; automatically analyzing the upstream and downstream dependencies of operation items based on the configuration file; monitoring the execution status of each operation item in real time, and dynamically updating the execution status of sub-stages and stages according to the status; automatically providing recommended views and model elements for operation items, and generating design deliverables; automatically performing semantic association analysis of data conflicts; and recording the modification history of model elements for traceability management of design results. This invention provides an efficient, flexible, and traceable modeling workflow configuration method, significantly improving the accuracy and collaboration efficiency in the system design process.

This invention discloses a fast query method and system for real-time database filtering expressions, belonging to the field of industrial real-time data query technology. The method parses the original filtering expression into atomic predicates and generates unique sub-condition identifiers, creates corresponding Boolean derived test points and establishes mapping relationships. During the data writing stage, the atomic predicates of each piece of real-time data are determined in real time, and the Boolean results are written to the derived test points. This fundamentally solves the problems in existing technologies where different queries share the same sub-conditions but require repeated calculations each time, and the cost increases linearly with the data volume due to the query side calculating massive amounts of original data line by line. Furthermore, the atomic predicates in the original expression are replaced with corresponding Boolean derived test points to generate a rewritten expression, and set logic operations are directly performed on the pre-stored Boolean results in each derived test point to obtain the final query result, thereby transforming the complex comparison calculations on the query side into efficient set operations.

This invention discloses a perspective tracking method, system, device, and storage medium for commission calculation. The method includes: responding to a target commission scenario selection operation, loading metadata of the basic dataset corresponding to the target commission scenario, and generating a configuration workbench based on the metadata; receiving a dimension setting operation based on the configuration workbench, determining the dimension information corresponding to the commission calculation according to the dimension setting operation, and configuring indicator rules using a dual configuration mode; parsing the indicator rules, and calling the basic dataset to perform commission calculation based on the dimension information and indicator rules to obtain a commission result set; responding to a perspective tracking request for the commission result set, and tracing back from the commission result set to the original data corresponding to the commission calculation through hierarchical drill-down and association graph construction to achieve perspective tracking of the commission calculation process. This method enables deep integration of flexible visualization configuration and data perspective tracking in commission calculation.

The embodiment of the application provides a data management method and device, electronic equipment and storage medium, the method obtains monitoring information of data by responding to the execution time of the set task, and judges whether the data meets the preset operation condition according to the monitoring information, and when the data meets the operation condition, the target operation associated with the operation condition is used to process the data, based on the above-mentioned mode, for each data to be managed, the target operation associated with the operation condition can be automatically processed when the corresponding set operation condition is met, effectively reducing data accumulation, thereby improving the query efficiency of the data, at the same time, the processing result of the data is monitored and recorded, the life cycle management of the data is realized, thereby facilitating the management personnel to more clearly and directly understand the running state of each data based on the record period, and improving the data management efficiency.

This invention provides a database query optimization method and related products. The method includes: obtaining an SQL query statement containing a result set constraint clause; identifying whether the initial query execution plan of the SQL query statement contains a pushdown node; if the pushdown node is present, generating candidate query paths that push down the result set constraint clause to the pushdown node; and selecting a target query execution plan from the initial query execution plan of the SQL query statement and multiple query execution plans of the candidate query paths based on cost evaluation of each candidate query path, to execute the SQL query statement. This invention achieves dynamic pushdown of row count constraint operations in the execution plan, overcoming the limitations of traditional static execution plans in optimizers. By identifying scenarios such as outer joins, set operations, parallel execution, and Cartesian products, it can pre-prune data volume in the early stages of data processing, significantly reducing the burden of query operations.

This invention discloses a method and system for cyclic checkpointing and atomic rollback at the document content block level in an AI Agent tool. Before and after each AI Agent tool call, the current content block sequence of the document is automatically captured, generating checkpoints associated with the tool call identifier. These checkpoints are linked in execution order to form an ordered checkpoint chain, and a head pointer is maintained. Upon responding to a rollback request, the content block sequence of the specified checkpoint is atomically deep-copied to replace the current content block sequence of the document. The content block-level structural difference algorithm uses the unique identifier of the content block as the comparison key, identifies addition, deletion, and modification operations through set operations, and employs a lazy computation strategy to reduce overhead. The incremental snapshot compression strategy reduces memory usage from O(N×D) to O(N×ΔD), saving approximately 99% of memory in typical scenarios.

This invention discloses a method for constructing a safety hazard database based on multimodal fusion and dynamic updates. The method includes: collecting multimodal hazard data using a multi-source data stream acquisition interface to obtain a dynamic multimodal data stream; wherein the dynamic multimodal data stream completes the effective judgment, real-time integration, and continuous acquisition of multi-source multimodal hazard data through set operations, time-series alignment operators, and a data acquisition intensity quantification model; performing real-time preprocessing on the dynamic multimodal data stream; using multimodal fusion and adaptive learning methods to extract and associate features from the preprocessed data, and dynamically updating the hazard feature vector and database index through online clustering and incremental embedding learning; periodically reconstructing and optimizing the database based on the dynamically updated feature vectors using an adaptive optimization mechanism; and generating a hazard trend report and performance indicators based on the optimization results. This improves the initiative and effectiveness of safety management.

This invention proposes a vector data processing method for drainage systems oriented towards SWMM modeling, relating to the technical fields of urban flood simulation and vector data processing. The method involves reading and unifying the basic vector data of the modeling area, and reading time series files. Based on the pipe network topology, outlet nodes are identified through set operations, and outlet attribute vector data conforming to SWMM model requirements is constructed. Based on the outlet name mapping relationship, the attributes and topology of manholes, pipes, and sub-catchments are updated. Rain gauges are deployed and their attributes configured. Two types of time series are processed to generate standardized time series files conforming to SWMM format requirements. After data preparation, the data is converted into an SWMM model file. This invention achieves standardized conversion from raw input data to model input files, offering advantages such as clear logic, simple calling, and strong operability. It provides an efficient means for preliminary data preparation in urban flood simulation and improves the reliability of flood simulation results.

The application provides a fault case intelligent matching method based on a large language model and Jaccard similarity, comprising: fault information extraction, extracting a service list, an alarm list and an association mapping from an original alarm event; service role abstraction, calling a large language model to infer a specific service name into a predefined service role; alarm type classification, calling a large language model to classify a specific alarm into a predefined alarm type; feature combination set construction, combining the service role and the alarm type into a "{service role.alarm type}" feature element to form a feature combination set; Jaccard similarity calculation, calculating the Jaccard similarity of the feature set of the current fault and the historical cases; result sorting and returning, returning the top N most similar cases after sorting according to the similarity; the application realizes semantic abstraction through LLM, utilizes Jaccard for efficient set operation, and introduces a cache reuse mechanism, so that the real-time performance, interpretability and low cost requirements are considered while the matching accuracy is ensured.

The application provides a security policy automatic execution method, relates to the technical field of data processing, and comprises the following steps: calling a device plan of a data center; in response to a security policy change instruction, performing set operation on a device set covered by an initial policy and a device set covered by a target policy, generating a plurality of device subsets and marking the device subsets on corresponding device positions on the device plan; determining a pre-judgment logic coverage boundary based on the device set covered by the target policy, writing target policy rules one by one, and reserving displacement states of the logic coverage boundary on the device plan as track record nodes after each rule is written; determining final state positions of all the track record nodes as actual logic coverage boundaries, superimposing the actual logic coverage boundaries on the pre-judgment logic coverage boundary and marking a deviation area, and outputting an execution confirmation instruction according to a physical partition where the deviation area is located. The application enables an operation and maintenance personnel to directly confirm whether a security policy is correctly implemented in the whole process through a space visualization mode.

The application provides a security policy automatic execution method, relates to the technical field of data processing, and comprises the following steps: calling a device plan of a data center; in response to a security policy change instruction, performing set operation on a device set covered by an initial policy and a device set covered by a target policy, generating a plurality of device subsets and marking the device subsets on corresponding device positions on the device plan; determining a pre-judgment logic coverage boundary based on the device set covered by the target policy, writing target policy rules one by one, and reserving displacement states of the logic coverage boundary on the device plan as track record nodes after each rule is written; determining final state positions of all the track record nodes as actual logic coverage boundaries, superimposing the actual logic coverage boundaries on the pre-judgment logic coverage boundary and marking a deviation area, and outputting an execution confirmation instruction according to a physical partition where the deviation area is located. The application enables an operation and maintenance personnel to directly confirm whether a security policy is correctly implemented in the whole process through a space visualization mode.

Embodiments of this disclosure relate to systems and methods for performing set operations using multi-core processing units. Set operations are performed using sparse matrix operations provided by a multi-core processing unit, such as a graphics processing unit. Before using a hash table, the set operations are converted into operand matrices and sparse matrix operations. The input set is converted into matrices, identifying the matrix operations corresponding to the set operations, and one or more operands of the set operations are also represented within the matrices. Matrix operations are then performed on these matrices to obtain an output matrix, which is then converted into an output set.

The application discloses a verifiable range searchable symmetric encryption method for large-scale data sets and relates to the technical field of encrypted data retrieval. The application initializes the cryptographic parameters and storage structure based on the security parameters and the maximum document quantity of the database; accumulates the inverted index according to the database construction sequence, divides the sub-partitions and constructs the local binary search tree; generates the encryption related data and the Merkle tree for the keywords of each sub-partition, retains the core data of the client and uploads the rest to the server after the mapping relationship is established; the client generates a token and sends the token in the query stage, and the server returns the encrypted bitmap and the verification path; the client completes the verification by comparing the recalculated Merkle tree root hash with the local reference value; the bitmap is decrypted after the verification is passed, and the query result is obtained through the document set difference set operation. The application realizes the lightweight integrity verification of the query result, is suitable for the scene that needs to perform the range query on the large-scale encrypted data and needs to guarantee the integrity of the retrieval result, and has wide application value.

This invention provides a method and system for calculating, setting, and verifying the settings of a relay protection device. A host computer monitors changes in the electrical parameters of a load model, acquires the electrical parameter information and first setpoint data for multiple load nodes in the load model, calculates second setpoint data, and if the first and second setpoint data differ, the host computer generates and issues a setting operation task. A handheld operating terminal receives the task, locates and connects to a matching first relay protection device according to the steps, and sends the second setpoint data; non-designated devices refuse to execute the task. The first relay protection device receives and solidifies the second setpoint data, and then feeds back the solidified result to the handheld operating terminal. The handheld operating terminal compares the feedback data with the issued data; if they match, the verification is successful; otherwise, it is abnormal. This invention solves the problem in related technologies where the setting process lacks effective closed-loop control, making it difficult to detect problems in a timely manner and posing significant safety hazards.

The application discloses a text similarity calculation method and device based on string segmentation and a storage medium, and relates to the technical field of text processing. The method comprises the following steps: removing a first character in a first text to obtain a first string, and removing the first character in a second text to obtain a second string, wherein the first character is a pre-set character; determining a segmentation granularity parameter according to the character length relationship between the first string and the second string; respectively segmenting the first string and the second string according to a sliding window generated according to the segmentation granularity parameter to obtain a first set and a second set, wherein the first set and the second set are unordered sets; performing set operation on the first set and the second set to obtain a similarity floating point number; and determining the text similarity between the first text and the second text based on the similarity floating point number and a pre-set threshold. The application improves the accuracy of similarity calculation in a large-batch text matching scenario.

The application provides a concurrent control method and device of a database, electronic equipment and a storage medium, which can be applied to the fields of databases and big data technologies. The method comprises the following steps: in response to a concurrent processing request for a to-be-processed data object, performing an atomic and set operation on a concurrent control bitmap of the to-be-processed data object by using a database deployed on a server to obtain a set result, wherein the concurrent control bitmap is constructed based on attribute information of the to-be-processed data object; in the case that the set result meets a preset threshold, determining that the to-be-processed data object has concurrent compatibility, and executing the concurrent processing request for the to-be-processed data object by using the database; and in the case that the set result does not meet the preset threshold, performing a lock traversal detection operation on the to-be-processed data object by using the database, and performing concurrent control on the concurrent processing request according to a lock traversal detection result.

The present disclosure provides a wind turbine generator set operation risk identification method, device, electronic equipment, storage medium and program product. The operation risk identification method comprises: determining a first turbulence statistical result based on operation data samples of a target unit when the target unit does not perform sector management, wherein the first turbulence statistical result is obtained by statistically analyzing the turbulence conditions of each wind speed section when the target unit does not perform sector management; determining whether the target unit has a sector that needs to perform sector management but does not actually perform sector management based on the first turbulence statistical result; and if there is a sector that needs to perform sector management but does not actually perform sector management, determining that the target unit has an operation risk.