33 results about "Rule processing" patented technology

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 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 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 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 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 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 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.

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 gas sensor 100 comprises a sensor element 101 and a control device 95. The sensor element 101 comprises an element body 102, a main pump cell 21, a first measuring pump cell 50, a second measuring pump cell 41, and a reference electrode 42. The second measuring pump cell 41 is configured to include a second measuring electrode 44 (a third internal electrode). The control device 95 performs a deterioration determination process to determine deterioration of the second measuring electrode 44 based on a voltage V2 between the second measuring electrode 44 and the reference electrode 42 during the execution of a main pump control process, a first measuring pump control process, and during a stop of a second measuring pump control process, and based on a pump current Ip2 flowing through the second measuring pump cell 41 during the execution of the main pump control process.-rule processing, the first measuring pump control or rule processing and the second measuring pump control or rule processing.

The invention provides a transaction request processing method and device, equipment and a storage medium, relates to the field of data processing, and is used for improving business processing safety and business processing efficiency. According to the specific scheme, after a transaction request is received, a switch table is disposed based on a transaction type and a requester information query rule, and accurate management and control of a transaction level are realized; if the request hits the switch table, combining real-time parameters with historical data dynamic matching processing rules, and determining a target processing mode; after disposal is completed, the system automatically generates event records from multiple dimensions such as transaction types, requesters and disposal modes and updates corresponding counters, and full-process quantitative monitoring is achieved; and when any event statistics exceeds the early warning threshold value, an early warning notification is automatically triggered to help a business party to change from passive response to active intervention, so that the overall business safety and operation efficiency are improved.

The invention discloses a low-power-consumption event closed-loop embedded entity node machine core module and a method thereof. The machine core module comprises a main control processing unit, a power management and turn-off domain unit, an input trigger unit, a short-distance communication unit and a prompt output unit. The movement module is in deep dormancy in a default state through power domain division and state machine control, and works for a short time only when an event is triggered or an external instruction is awakened; and after event packaging, reporting, prompt output and confirmation receipt are completed, a dormant state is automatically returned, so that a low-power-consumption event closed loop is formed. The movement module only executes event perception, fixed prompt and user confirmation functions, and does not perform semantic judgment, relation modeling or decision processing; related judgment and rule processing are completed by an external terminal or system, and the external system is not a necessary condition for independent operation of the machine core module. The method is suitable for an embedded entity node scene which needs long-term standby and intermittent communication and is sensitive to misjudgment risks.

A system for processing events for contacts, contains an event routes stateful object for determining if an event of the contact can be processed by the system, and a contact stateful object storing contact information therein and for receiving event types and attributes. The system dispatches the event with contact information for rule processing after which contact level rules are dispatched for execution. The system also contains a condition stateful object having stored therein conditions that a customer wishes to apply to specific events, a condition execution stateful object for evaluating contact level rules and a workflow stateful object for executing actions associated with the contact level rules.

This application provides an ACL rule processing method, apparatus, electronic device, and storage medium. The method includes: monitoring the hardware resource usage of rule sets; when the hardware resource usage of rule sets indicates insufficient hardware resources, obtaining the rule content of each rule set; determining the content similarity between rule sets based on their rule content; merging rule sets based on their content similarity, and removing merged rule sets to release hardware resources. The method provided above, by merging rule sets when switch hardware resources are insufficient, releases hardware resources occupied by duplicate rule sets, avoids wasting switch hardware resources, and improves hardware resource utilization.

The invention discloses an intelligent SQL generation method and system based on a large model, and relates to the technical field of data processing and database intelligent management.The method comprises the steps that a context input environment is constructed; analyzing the natural language demand to obtain structured business semantic information, and converting the business semantic information into an intermediate semantic representation structure; performing data structure mapping on the business semantics in combination with the metadata information to generate a structured query element set; generating a query structure conforming to the SQL logic structure through large language model reasoning, and performing constraint generation on the query structure; performing semantic consistency verification and structural rationality verification on the generated SQL query statement; and performing enhancement processing on the SQL query statement based on a data governance rule. According to the method, the natural language data processing requirement of the user is associated with the database structure, and semantic consistency and structural rationality verification are combined, so that the semantic accuracy of SQL automatic generation is effectively improved.

This application relates to a waybill information processing method, computer equipment, readable storage medium, and program product. By inputting logistics waybill information into a rule engine network, the rule engine network performs condition matching based on the logistics waybill information. According to the target matching conditions of the logistics waybill information, it outputs target logistics settlement rules, and processes the logistics waybill information according to these target settlement rules. Compared to the traditional method where each e-commerce platform processes the information individually, this solution uses a rule engine network to perform rule matching on logistics waybill information, obtains the corresponding settlement rules, and performs logistics settlement based on these rules, thus improving the efficiency of logistics waybill information processing.

The application relates to a rule-based middle platform sharing method, which comprises the following steps: when the order of a settled-in merchant is completed, if a sharing period is met, a sharing event is pushed to a sharing middle platform by a system, the middle platform matches order information with trigger conditions of all sharing rules, if the matching is successful, corresponding sharing rules are triggered, and the matched successful sharing rules are processed; pre-sharing is performed, the system obtains the roles and specific merchants of sharing parties from the order information; the pre-sharing total amount of each sharing party is obtained by adding the amount of money that each sharing party should obtain; whether the pre-sharing amount of the sharing party meets a settlement period is judged, if yes, automatic settlement is judged, and the settlement is completed; the application realizes that the order of a merchant can automatically select different sharing rules according to different sharing parties, automatically perform sharing, flexibly set a sharing mode, and automatically perform re-sharing of a refund process, reduces manual operation, and greatly improves sharing efficiency.

The invention discloses a multi-mode, multi-stage and multi-view community user portrait and content understanding method and system for content security and a medium. The method comprises the following steps: 1) acquiring multi-view feature data of community users; 2) performing grading processing on the multi-view feature data to obtain a difficult sample; 3) labeling the difficult sample to form a labeled data set; 4) constructing a multi-modal large model, and performing adjustment by using the annotation data set to obtain a reference strategy model; 5) performing reinforcement learning optimization on the reference strategy model; and 6) deploying the optimized multi-modal large model at a server, and providing a judgment result for an online content security decision. The system comprises a feature acquisition and fusion module, a rule processing module, a graph calculation and integrated learning module, a data flywheel and knowledge base module, a multi-modal supervision fine tuning module, a multi-modal reinforcement learning module and an online reasoning and service module. According to the method, training from a rule layer to a multi-modal large model and reasoning of full-link interpretability and self-evolution capability are realized.

The invention relates to a place name standardization processing method and system for a large-scale specimen collection place, and the method comprises the steps: obtaining the text information of the specimen collection place and the corresponding collection time, and carrying out the preprocessing, and obtaining a to-be-matched place name character string and the corresponding collection year; according to the collection year, mapping the to-be-matched place name character string to a preset time interval, and dynamically determining an execution sequence of the place name standardization processing rule based on the time interval; according to the execution sequence, carrying out collection time scheduling-based place name matching rule processing on the to-be-matched place name character string; when the processing is successful, outputting a normalized acquisition result; and performing manual verification processing on the unsuccessful to-be-matched place name character string. According to the method, the collection time is used as a control variable of a standardized processing flow, dynamic adjustment of matching rules and semantic reasoning processing sequences of different types of collection place names in different historical periods is achieved, and the standardization accuracy, matching degree and processing efficiency of large-scale specimen collection places are improved.

The invention is applicable to the technical field of computers, and provides a Dify workflow-based data extraction method, which comprises the following steps of: constructing a nodal Dify workflow; receiving an Excel file uploaded by a user through the file uploading node, and carrying out multi-modal analysis on the Excel file through the document analysis node to obtain multi-modal data; matching predefined rules from the rule knowledge base through rule processing nodes, and performing dynamic matching in combination with multi-modal data to generate a comprehensive rule set; through the multifunctional cooperative processing node, in combination with the multi-modal data and the comprehensive rule set, target fields are extracted from the Excel file in parallel from a multi-dimensional angle, and a multi-path extraction result is obtained; according to the method, the node is judged through decision, confidence coefficient aggregation is carried out on multiple paths of extraction results, the data extraction result is determined according to the aggregation result, and a complex data processing flow for Excel files with various formats is converted into an intuitive workflow process, so that the development efficiency and the flow transparency are greatly improved.

A rules processing system includes one or more processors and one or more memory devices storing non-transitory, computer-readable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include receiving, by an API gateway, a transaction from a pharmacy, the transaction having a first data format; reformatting, by a translation component, the transaction received by the API gateway into a structured data format used by a rules engine included in the rules processing system; evaluating, by the rules engine, one or more of fields of the transaction according to a configurable set of logic rules; inserting, into a wrapper of the transaction, supplementary data based on the evaluation of the one or more fields; reformatting, by the translation component, the transaction into the first data format; and transmitting, by the API gateway, the transaction to the pharmacy.

The invention provides a dynamic rule processing method and device based on declarative configuration, a medium and a product, and relates to the technical field of rule engines, and the method comprises the following steps: constructing a rule object set in a memory by analyzing a declarative rule configuration file containing conditions, actions and cache strategies, a self-adaptive cache used for caching the handle is initialized; when a business object is processed, traversing rules according to a priority sequence, and acquiring and multiplexing a handle by utilizing a strategy-driven mechanism so as to efficiently execute condition judgment and action operation; the execution action judges whether the state of the current business object meets a cache failure triggering condition or not according to cache strategy information defined by a rule; and if yes, determining that the corresponding handle in the adaptive cache is invalid. By implementing the technical scheme provided by the invention, the data consistency and the result reliability in the dynamic rule processing process are ensured.

The application discloses a kind of processing method and device of monitoring rule, processor and electronic equipment, related to the field of financial technology.The method comprises: obtaining the first field information of target metadata of the monitoring rule to be configured;Calculate the similarity of the first field information and the second field information of each monitoring rule in the monitoring rule library, obtain a plurality of initial similarity values;The highest initial similarity value of similarity value is used as target similarity value, and the monitoring rule corresponding to the target similarity value is used as the preset monitoring rule;According to the target similarity value and the preset monitoring rule, the target monitoring rule of the target metadata is determined.By the present application, the problem that the deployment of monitoring rules for target data information in related art can only be performed manually, resulting in low efficiency in deploying monitoring rules, is solved.

The invention discloses an intelligent operation and maintenance system and method based on multi-model management in the technical field of operation and maintenance. The system comprises a monitoring system which collects the operation state and alarm information of each business system of an office in real time, and displays the operation state and alarm information in a centralized manner through a large visual monitoring screen; the work order system is used for recording, tracking and managing operation and maintenance service requests and forming a structural chemical engineering single flow and a complete operation and maintenance operation log; the operation and maintenance rule processing module is linked with a monitoring system and a work order system respectively and captures operation and maintenance events and structured task information in a full-link manner; the operation and maintenance model library is used for storing multiple types of operation and maintenance models and providing containerized packaging, standardized registration and multi-mode scheduling capabilities; and the operation and maintenance knowledge base is constructed based on an RAG architecture, integrates multi-source knowledge resources, and provides a high-correlation reference basis for model reasoning. According to the system, by constructing a unified multi-model management architecture, accurate matching of operation and maintenance tasks and model capabilities is realized, and the utilization rate of hardware resources is improved.

The invention provides an electronic product man-machine interaction method and system, and the method comprises the steps: recognizing an operation target and an expected action of a control instruction; acquiring environment information related to the control instruction; according to the operation target, the expected action and the environment information of the control instruction, identifying whether a conflict exists between the control instruction and the scene task or the automation rule; when the conflict is identified, analyzing the association between the intention of the control instruction and the overall target of the scene task; obtaining the identity of a person who sends the control instruction and historical preference information of the person who sends the control instruction; when the conflict cannot be solved through preset logic, one or more alternative schemes are generated, and the alternative schemes comprise equipment use suggestions, space guidance suggestions, parameter adjustment suggestions and rule processing suggestions; and an alternative scheme is provided for a control instruction issuing person. According to the method, the multi-source instruction conflict in the smart home environment can be effectively identified and analyzed, the personalized alternative scheme is generated, and the user interaction experience is improved.