63 results about "Rule processing" patented technology

The invention provides a business rule automatic processing method and system based on natural language understanding. The method comprises the following steps: extracting text content from an original document containing business rules and preprocessing the text content; utilizing a BERT-based metadata extraction model to extract structured metadata from the preprocessed text content; confirming and perfecting the structured metadata; on the basis of the confirmed metadata, a rule execution flow chart and / or a test case are / is automatically generated and used for verifying the correctness of rule logic; and according to the target format, converting the verified rule into a corresponding symbolic representation through a template engine to obtain a defined rule. According to the invention, the automatic conversion of the business rule from the natural language description to the symbolized executable form is realized, so that business personnel can directly use the natural language to define and maintain the business rule, the manual conversion cost is reduced, and the accuracy and efficiency of rule processing are improved.

The invention relates to the technical field of data processing, and discloses a rule-based business identification method and device, equipment and a storage medium, and the method comprises the steps: obtaining the identification information of a target object, and extracting a target field associated with the object from a database based on the identification information; inputting the target field into a preset rule set, and executing matching through conditional logic to obtain a rule matching state set; determining a target rule expression according to the matching state set, and calculating the target rule expression to generate a corresponding service identifier processing result; and establishing association between the processing result and the target object to form corresponding service identification information. According to the invention, structuring, automation and high efficiency of service identifier generation can be realized, and the problems of delay and inconsistency of manual configuration are avoided; the service judgment accuracy is improved, and the flexibility and expansibility of rule processing are improved, so that the system can quickly adapt to complex and changeable service scenes.

The invention provides an Internet of Things event center distributed alarm processing method based on Redis Stream, belongs to the field of Internet of Things (IoT) data processing, and realizes millisecond-level event processing by utilizing the high-performance streaming consumption capability of the Redis Stream and combining a distributed rule matching engine and a cross-device data dynamic association mechanism. Comprising the following steps that: Internet of Things terminal equipment writes data into Redis Stream according to a stream: Model: DeviceId mode to form an independent data stream; an event consumer reads the data from the stream, performs matching based on a preloaded rule, and supports cross-device linkage calculation through a metadata relation table and an SQL template; real-time duplicate removal and full-life-cycle management are carried out on alarm events through a dual convergence mechanism based on a database and a cache, and repeated alarms are eliminated; and finally, through multi-channel push and push state write-back, a closed-loop alarm system is constructed. The system adopts a layered architecture, comprises an event acquisition layer, a rule processing layer, an event management layer, a push service layer and an asynchronous processing layer, has the characteristics of high throughput, strong orderliness and high reliability, and can effectively improve the alarm processing efficiency and accuracy in a large-scale Internet of Things scene.

The embodiment of the specification discloses a kind of station risk identification rule processing method, device and equipment, the method comprises: obtaining the site information of target network site to be identified;Based on the preset site identification demand information, corresponding prompt information is constructed, based on prompt information, using first large language model, generate first risk identification rule for target site based on site information;The first risk identification rule is extended and handled, and the rule population for target site is obtained;Each rule in the rule population is evaluated by a plurality of different modes by a preset multi-modal large model, to obtain the evaluation result of rule population;Based on the evaluation result of rule population, the rule population is iteratively optimized by difference evolution algorithm, to obtain the optimized rule population, based on the optimized rule population, determine the risk identification rule for target site.

The invention relates to the technical field of automatic operation and maintenance of a power system, and discloses a semantic recognition and automatic execution method, system and device for audit rule configuration and a medium, and the method comprises the steps: receiving an input natural language rule, carrying out semantic analysis through a knowledge graph and a template library, and generating a structured intermediate representation; converting the data into a regular agent, and carrying out logic conflict detection and resolution; performing simulation evaluation in the digital twin sandbox; deploying to a production environment, and performing parameter optimization by utilizing reinforcement learning; and finally, performing feedback and manual intervention through monitoring to realize incremental learning and continuous optimization of the knowledge graph and the analytical model. According to the method, the full-life-cycle intelligent closed-loop management of the rule is realized, and the reliability, the adaptability and the execution efficiency of rule processing are greatly improved.

The application relates to a contract auditing rule processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to the current contract content input into a large model, displaying a contract auditing result on a contract auditing page; the contract auditing result is an auditing result output by the large model after auditing the current input contract content according to the current contract auditing rule; in the case that the score information input into the contract auditing result meets a preset score condition, determining a target result quantity; the target result quantity is the number of target auditing results output by the large model in succession for different contract contents under the current contract auditing rule; the target auditing result is a contract auditing result whose score information meets the preset score condition; in the case that the target result quantity meets a preset quantity, archiving the current contract auditing rule. The method can improve the effectiveness of the contract auditing rule.

The application discloses a hybrid scheduling system and method based on clothing flexible production line rules and machine learning. The system contains rule algorithm module, machine learning algorithm module and coordination and decision module, through rule processing deterministic task, machine learning optimization dynamic scene, and using dynamic weight adjustment to realize collaborative scheduling. The method includes initialization, rule preliminary scheduling, machine learning optimization, coordination decision and production monitoring steps, introduces priority quantization model, equipment matching degree formula and dynamic weight algorithm, solves the problem of insufficient adaptability of traditional scheduling. The application combines rule algorithm and machine learning algorithm, realizes reasonable allocation of production task and optimization scheduling of equipment, improves production efficiency, resource utilization rate and product quality of clothing flexible production line, and reduces production cost.

The present application relates to the field of resource access control, and specifically relates to a fine-grained resource access control method based on ACL linked list, comprising the following steps: constructing an ACL linked list comprising a hierarchical structure, the ACL linked list comprising a main linked list storing core resource attributes and a sub-linked list defining subdivision dimension rules, and configuring permission inheritance and priority rules between the main linked list and the sub-linked list; processing a resource access request, extracting multi-dimensional attribute information by parsing the resource access request, performing hierarchical indexing and locating a target rule partition based on the multi-dimensional attribute information, dynamically loading the target rule partition in storage and performing matching; monitoring access frequency of each rule partition, and dynamically optimizing storage strategy and ACL linked list structure. The present application solves the defects of traditional ACL in control granularity, dynamic adaptability, execution efficiency and resource consumption, and provides a fine-grained resource access control method with high security, high performance and high maintainability.

The invention provides an ACL rule processing method and device, a product, equipment and a medium. The method comprises the following steps: generating a source code based on a pre-configured ACL rule according to a preset conversion rule; compiling the source code to generate a dynamic link library; a dynamic link library is loaded, a target function is obtained from the loaded dynamic link library, the message matching logic is used for determining whether the data message conforms to an ACL rule or not, and the action execution logic is used for determining a message processing instruction corresponding to the ACL rule; and for the data message to be processed, executing the message matching logic to obtain a matching result, and executing the action execution logic corresponding to the matching result, so that the real-time analysis or compiling overhead of the ACL rule can be saved, the compiled message matching logic and action execution logic can be directly executed, any field in the message structure is flexibly quoted as the matching content, and the matching efficiency is improved. The support range of the message matching logic is expanded by using the self-defined matching function, so that the message processing efficiency and expandability are improved.

The invention provides an active customer group judgment method and device, equipment and a storage medium, and can be applied to the technical field of big data technology and financial science and technology. The method comprises the following steps: in response to the obtained information of a to-be-judged customer, extracting a judgment rule of a candidate customer group category from a preset active customer group rule table; forming a customer group rule chain according to the priority of each judgment condition in the judgment rules of the same candidate customer group category; utilizing rule processors corresponding to the judgment conditions in the customer group rule chain to sequentially judge whether the customer information meets the judgment conditions or not according to a customer group rule chain sequence; and determining a target customer group category of the customer according to a result whether the judgment condition is met or not output by the rule processor.

Examples of the present disclosure describe systems and methods for behavioral threat detection definition compilation. In an example, one or more sets of rule instructions may be packaged for distribution and / or use by a behavioral threat detection engine. As an example, a set of rule instructions is compiled into an intermediate language and assembled in to a compiled behavior rule binary. Event linking is performed, wherein other rules launched by the rule and / or events that launch the rule or are processed by the rule are identified, and such information may be stored accordingly. The behavior rule binary may be packaged with other rules associated with identifying a specific behavior. The packaged behavior rule is distributed to one or more computing devices for use with a behavioral threat detection engine. For example, the threat detection engine may execute the behavior rule using a rule virtual machine.

The embodiment of the application discloses a mass rule processing method and system based on an Internet of Things platform and a storage medium. The method belongs to the technical field of the Internet of Things and comprises the following steps: a rule distribution management service calculates rule hash values of each rule according to an obtained user identifier and saves the rule hash values to a database rule table; the rule distribution management service generates a rule hash partition list required to be loaded by each rule processing service in a striping manner according to a preset hash partition rule, saves obtained rule configuration information, sends the rule configuration information to a corresponding rule processing service, and sends full-amount rule configuration information to a message dispatch service; the rule processing service loads rules corresponding to the rule hash partition list from the database rule table according to the rule configuration information; and the message dispatch service distributes received reported information according to the full-amount rule configuration information and a user identifier in the reported information. The embodiment of the application can improve the processing efficiency of mass rules.

This application provides a low-code platform data modeling method and system based on Dataset technology, relating to the field of low-code technology. The method acquires configuration information of a target business object, generates structured metadata based on the configuration information, and generates an application component including a strategy evaluation engine. During the operation of the application component, the engine monitors the data status in real time and dynamically adjusts the behavior or relational structure of the application component when the policy rule conditions are met, without modifying the generated source code. To improve the efficiency of large-scale rule processing, the method extracts conditional expressions and adjustment instructions from the policy rules, identifies dependencies, calculates structural and temporal correlation weights accordingly, generates predictive hybrid weights, and performs clustering. This solution improves strategy evaluation performance, supports dynamic business adaptive modeling, and is suitable for digital transformation scenarios.

The present application is applicable to the technical field of big data mining, and in particular relates to a mining method and apparatus for an entity enhancing rule, a device, and a medium. In the method, rule construction and rule mining are performed on a candidate predicate set; an optimal preset number of rules are found and mined by means of iteration, search and pruning operations according to a known target; candidate rules are screened by setting upper and lower bounds of gain scores and confidence, effective rules are determined on the basis of gain improvement, and the rules which have been processed and cannot reach optimal performance through extension in the future are excluded, thereby constraining the rules for the next iteration, reducing unnecessary interference, and avoiding redundant rule processing in a plurality of iterations; and processing efficiency is effectively improved due to reduction of the rule processing amount.

The invention relates to the technical field of computer software, in particular to an intelligent voice broadcasting and information processing system and method based on JavaFX. The system comprises a dynamic Kafka consumer module, a message content identification and grouping module, an intelligent broadcast scheduler module, a dialect rule processing module and a JavaFX graphical interface module. The method comprises the steps of system initialization and dynamic connection, message consumption and grouping, intelligent broadcast scheduling, real-time rule processing and alarm life cycle management. Flexible information source switching is achieved by dynamically configuring Kafka connection, repeated broadcasting is avoided based on message identifier grouping in combination with cyclic grouping scheduling and a strategy of taking one for one in each group at a time, dialect rules and speech speed parameters are configured online to improve expansibility, and state visualization is achieved through a three-state list and color identification. The auditory fatigue is remarkably reduced, the system flexibility and the information processing efficiency are improved, and the method is suitable for real-time information prompt scenes such as command centers and monitoring large screens.

The invention discloses a traffic flow prediction method based on a self-organizing fuzzy recursive random configuration network, and the method comprises the steps: fusing multi-source traffic and environment data, and constructing an input feature vector through abnormal value processing, normalization and periodic time coding; then, a fuzzy rule antecedent structure is automatically constructed based on input features, and an independent recursive random configuration sub-reserve pool is configured for each rule and is used for depicting local nonlinear time sequence dynamics; a candidate rule generation and supervision screening mechanism is designed and introduced to screen fuzzy rules, rule processing is executed through residual projection gain, and self-organizing evolution of a network structure is achieved; and updating the weight of the output layer online by adopting a recursive least square algorithm. And finally, based on the rule triggering weight, performing weighted fusion on the output of each sub-reserve pool to obtain a traffic flow prediction result.

The invention relates to the field of resource access control, in particular to a fine-grained resource access control method based on an ACL (access control list), which comprises the following steps of: constructing an ACL comprising a hierarchical structure, the ACL comprising a main chain table for storing core resource attributes and a sub-chain table for defining a subdivision dimension rule, configuring permission inheritance and priority rules between the main chain table and the sub-chain table; the method comprises the following steps: processing a resource access request, extracting multi-dimensional attribute information by analyzing the resource access request, performing hierarchical indexing based on the multi-dimensional attribute information, positioning a target rule partition, dynamically loading the target rule partition in storage, and performing matching; and monitoring the access frequency of each rule partition, and dynamically optimizing a storage strategy and an ACL linked list structure. According to the invention, the defects of the traditional ACL in the aspects of control granularity, dynamic adaptability, execution efficiency and resource consumption are overcome, and the fine-grained resource access control method with high security, high performance and high maintainability is provided.

The invention discloses a rule processing method and device, and the method comprises the steps: obtaining a first description result which is a first rule described by using a natural language; and prompting the client to download a code file, wherein the code file comprises an executable code used for judging whether the driving equipment violates the first rule or not. Therefore, secondary implementation of rule judgment is avoided, the efficiency of judging whether the driving equipment violates the rule or not is improved, and the accuracy and generalization of the rule processing method are improved.

The embodiment of the invention provides a general rule processing method and system based on a tree structure and streaming computing, and belongs to the technical field of data processing. The method comprises the steps that a data set used for representing rule elements is acquired, and a rule tree structure is constructed based on the data set; obtaining an input data stream corresponding to the rule element, and generating a streaming data fragment corresponding to the node attribute information; triggering calculation logic of the corresponding rule nodes according to the streaming data fragments, executing rule calculation and node result transmission in the rule tree structure according to a bottom-up triggering path, and generating calculation results of the nodes of each level; and executing summarization processing based on the calculation result of each level node, and outputting result data reflecting an overall rule satisfaction state. According to the scheme, structured expression and high-concurrency real-time calculation of complex rules of activities are achieved, and the accuracy and response efficiency of rule processing are improved.

Systems and methods described herein may enable operations including receiving, from an industrial automation device associated with an industrial automation system, process-related data. The operations may include generating a subset of processed data based on processing the process-related data according to a rule. Based on the processing, the operations may include generating context data that includes an indication of the rule. By doing so, less than a whole set of industrial process-related data may be transmitted for further processing, such as to a cloud-computing system for further processing.

The application relates to the technical field of artificial intelligence, in particular to a strategy generation method and device, electronic equipment and a storage medium, which are used to improve the generation efficiency and accuracy of a risk control strategy. The method comprises the following steps: obtaining risk assessment data to be mined; the risk assessment data comprises at least one of the following: object feature data related to risk assessment of at least one object and environment influence data related to an external environment; a data mining model is constructed based on the risk assessment data, and a model prediction result is obtained; the data mining model is used to identify potential laws related to a risk control strategy from the risk assessment data to perform risk assessment; the model prediction result is subjected to rule processing to generate an executable rule set; the rule set comprises at least one rule for risk assessment; and a risk control strategy for the at least one object is generated according to the rule set.

The invention discloses a model training method and device, a text processing method and device and related equipment. The method comprises the steps that multiple first texts are acquired; inputting each first text into a large model for text normalization processing to obtain a first output text corresponding to each first text; the first output text corresponding to each first text is input into a rule processing module for text normalization processing, a second output text corresponding to each first text is obtained, and the rule processing module performs text normalization processing in a regular matching mode; screening the plurality of first texts according to the first output text and the second output text corresponding to each first text to obtain a plurality of second texts; constructing a plurality of training samples according to the plurality of second texts; and training the large model according to the plurality of training samples until a preset iteration stop condition is met, thereby obtaining a target model. The text modification accuracy is improved, and support is provided for follow-up TTS speech synthesis.

The invention discloses a quantum rule execution system and method based on logic entropy minimization, and relates to the technical field of quantum calculation and artificial intelligence. Comprising a rule processing unit, a logic entropy minimization unit, a dimension reduction unit and a solution emergence unit, and innovative solution of complex problems is realized through quantum rule coding, entropy driven evolution, dimension reduction and solution extraction. According to the method, the limitation of a traditional calculation method in creative problem solving is solved, and a powerful innovative tool is provided for the fields of drug discovery, material design and the like.

A method codifies data, programs, rule-based, state-based application software for automatic deployment, in distributed computing environment, including programming / assignment Production Rules as code for processing data / events for cargo port shipments, through Customs and Finance Processing referred to as supply chain financing; programming and deploying FiniteStateMachine (FSM) implementing state-based application components; deployment is collection of distributed software AppNodeServices (ANS) that collectively comprise an FSM. Each AppNode is at least a single state of FSM. AppNode contains programmable Rules loadable dynamically through the processes. Shipment data is received and collected from one or more data sources including Electronic Data Interchange (EDI), other Enterprise Resource Planning (ERP) messaging, web service Application Programming Interface (API) calls, Internet Of Things (IoT) messaging, remote file copies, and tracking sensors. SmartPass is aggregation of shipment data combined with rule processing, FSM, and associated processing actions, and is used to dynamically assign rules on individual shipment and pre-determined needs basis.

A control system includes one or more processors that obtain event data associated with a vehicle. The processors also receive a statement including a designated chargeable usage of the vehicle, and access one or more rules dictating rule-based chargeable usage of the vehicle. The processors may compare the event data with the one or more rules to determine the rule-based chargeable usage of the vehicle based on the event data and to compare the rule-based chargeable usage with the designated chargeable usage to identify one or more discrepancies between the rule-based chargeable usage and the designated chargeable usage. Further, the processors may, responsive to identifying the one or more discrepancies, generate a reconciliation request for correcting the one or more discrepancies and communicate the reconciliation request to the entity that issued the statement.

Methods, systems, and apparatus, including medium-encoded computer program products, for providing secure workflows with rule-based data access security are described. In one aspect, a method includes receiving a digital component (DC) request. A workflow, which can include customizable stages, for selecting a DC is identified. Stages can include executable instructions and can be executed as defined by the workflow. The method can include, for each stage: initiating an isolated environment, receiving a data access request and, for each request, obtaining access rules associated with the request, processing access rules to determine whether to return the data requested by the request, and whenever it is determined to return the data, providing the data to the isolated environment. The method can include, receiving output data from customizable stages and selecting, using a stage and based on the output data received, a DC, which can be sent to the client device.

The invention provides a system and a method for integrally building process structuralization for a standard manufacturing process. The system comprises an attribute checking module, a data composition module and a process data verification module. And the attribute checking module is connected with the CAPP rule to carry out attribute checking. And the data composition module is connected with CAPP data interaction and data extraction to form conversion format data. And the process data verification module enables the standard process format data to process and build process structuralization through rules of system codes. According to the method, the integrity checking process of CAPP data output and PLM input can be quickly and effectively carried out, the returned result is simple and clear, and the time cost and the labor cost for carrying out integrity checking on composition and checking of various data in the middle process are greatly reduced.

Implementations for providing event processing services that associate multiple accounts are described. A user of a first account may have rules for event processing that cause the event to be sent to a second account. If a received event satisfies the rule, the event may be processed for the first account and processed for the second account using a single processing node and / or single rule evaluation sequence.

The embodiment of the invention provides an alarm rule processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of computers. The method comprises the following steps: periodically traversing an alarm rule table, and determining each candidate alarm rule of which the query time is in a current period according to the query frequency of querying a log included in each alarm rule; generating candidate alarm tasks in one-to-one correspondence with the candidate alarm rules; each candidate alarm task is operated according to a preset process, the preset process at least comprises one process stage, and in each process stage, the scheduling strategy of the corresponding process stage is started to operate the corresponding candidate alarm task. According to the embodiment of the invention, the stability when the alarm task is executed to query the log is ensured, and the flexibility when the alarm task is executed to query the log is improved.

The invention discloses a card game platform and an interaction method thereof, and relates to the technical field of card games. The platform comprises a data storage module for storing card game related data, an account management module for registering and logging in an account and managing account information, a card management module for customizing newly-built, modified and deleted cards, a game initial configuration module for extracting corresponding game data from a game data storage module according to game requirements to generate game initial configuration, and a game data storage module for storing the game initial configuration. The fight process execution module responds to game actions according to game rules, the characteristic rule processing module responds and executes when a player triggers a golden ticket or character characteristics, and the social interaction module performs real-time communication when the player plays a game. And the settlement and feedback module performs settlement when the game is finished, generates a game settlement report and issues game rewards. The method can solve the problems that entity cards are inconvenient to carry and the process depends on manual work and is prone to errors, enables players to experience special card fight anytime and anywhere, and improves the experience of the players on card games.