96 results about "Match rule" patented technology

The invention relates to a multi-agent scheduling method and system based on task intention matching. The method comprises the following steps that S1, tasks are received and analyzed; s2, intelligent agent matching candidates are obtained; s3, selecting an optimal agent by a scoring mechanism; s4, task assignment, execution monitoring and result acquisition; s5, performing reflection evaluation and strategy updating: dynamically updating an intelligent agent score, and adjusting a task label matching rule or other scheduling parameters so as to optimize a distribution decision of a subsequent task; and S6, result combination and output: when the task comprises a plurality of sub-tasks executed by a plurality of intelligent agents, the results are verified, sorted and combined. Compared with the prior art, the method has the advantages that the task target can be dynamically analyzed, the optimal agent can be intelligently matched to execute the task, and the scheduling strategy is continuously optimized through feedback after the task is completed, so that the task execution efficiency and effect of the multi-agent system are remarkably improved, and the accuracy, the adaptability and the intelligent level of task allocation are improved.

The invention provides a financial analysis method and system based on big data, and the method comprises the steps: analyzing the dependency relationship between a non-standard code combination and a fuzzy text mode in a material purchasing scene based on a credible rule library, extracting a new attribute combination feature, and forming an optimization rule feature set if the new attribute combination feature can improve the matching accuracy; performing rule-based key field and attribute set verification matching on the real-time non-standard transaction data according to the optimization rule feature set in combination with a dependency relationship between a non-standard code combination and a fuzzy text mode, and outputting a matched transaction record set; and comparing the difference between the matched transaction record set and the historical manual matching record, extracting and judging whether the newly added non-standard attribute combination is applicable to the non-standard transaction data which is not covered or not after a matching rule is adjusted by adopting an incremental learning algorithm, and if so, forming a dynamic matching table.

The invention provides a match alliance platform management system and method, and the system comprises a match authentication module constructed by a block chain, an AI-driven qualification auditing module, a process management module, a convolutional neural network, a big data analysis module, and an RBAC authority management module. Wherein the match authentication module dynamically analyzes and stores authenticated match rule data through an intelligent contract, and realizes rule version tracing by using an encrypted hash chain; the AI-driven qualification auditing module integrates a natural language processing engine to analyze the selection standard and construct a multi-dimensional evaluation model, and adopts a machine learning algorithm to analyze historical data of athletes to generate a visual qualification report; the process management module supported by cloud computing automatically generates an application process based on a rule engine, adopts a Monte Carlo algorithm to execute multi-constraint drawing, and constructs a directed graph model to dynamically generate a schedule topological structure containing a three-person rotation time sequence.

The invention discloses a policy matching and pushing method and system based on a large model technology, and relates to the technical field of big data processing, and the implementation of the method comprises the following steps: constructing a multi-dimensional enterprise portrait library comprising enterprise basic information, honor information, qualification information, judicial risks, administrative punishment and project information; for the first policy, vectorizing a policy text and an enterprise portrait through an Embedding model, calculating semantic similarity and generating a recommendation list; for a non-first policy, policy conditions are deduced based on a historical reward list, condition credibility is adjusted through a large model and a machine learning model, and recommendation priorities are calculated in a weighted manner; and a data real-time updating and model feedback optimization mechanism is established, and the matching precision is dynamically improved. According to the method, cross-modal semantic alignment can be realized, recommendation accuracy is improved, matching rules are dynamically updated, and the method can adapt to real-time changes of policies and enterprise data.

The invention provides a two-hop incremental interface consistency verification method and system based on a knowledge graph, and the method comprises the steps: 1, carrying out the language analysis of a modified source file, and extracting an interface entity; 2, mapping the interface entity into a language-independent meta-model, and writing the language-independent meta-model into a knowledge graph; 3, executing a two-hop breadth-first traversal algorithm by taking a modified node in the knowledge graph as a starting point to obtain an affected sub-graph; 4, a hot-pluggable rule set is operated on the affected subgraph for verification, the rule set comprises a parameter number matching rule, a type compatibility rule, a version number increasing rule and a field deletion forbidding rule, and if verification is illegal, an error report is generated, and a blocking instruction is output; and if no violation exists in the verification, merging the affected sub-graphs back to the knowledge graph cache. According to the method and the device, online faults caused by field missing during operation are avoided, and the influence of back-end change on the front end is automatically detected and blocked.

Methods and systems are provided for a histogram model configuring a computing system to derive an indicator of compromise signature based on a sliding window index of identified malware samples, and a matching rule constructor configuring a computing system to generate matching signatures by selecting statistically relevant n-grams of an unidentified file sample. A matching rule constructor configures the computing system to construct a matching rule including, as a signature, 32 n-grams found in the unidentified file sample which occur most frequently, and another 32 n-grams found in the unidentified file sample which occur least frequently amongst records of the threat database across 32 discrete file size ranges. These functions can configure backend operations to a sample identification operation performed by a user operating a client computing device, in a fashion that does not require a user to manually discern strings from the unidentified file sample to derive a signature for the matching engine to search against the threat database.

The invention provides a rule processing method. The method comprises the following steps: determining a corresponding target rule file according to a preset inquiry type; and dynamically adjusting rules in the target rule file according to the attribute information of the inquiry type to obtain a target rule. According to the scheme, firstly, only the target rule file related to the inquiry type is obtained, the number of the matched rule files is reduced, and secondly, the processing mode of the rules in the target rule file is dynamically adjusted, and the response time consumption of rule matching is shortened.

The invention discloses an engineering data dynamic matching method based on an iBIM platform. The method comprises the following steps that S1, existing engineering data are input and stored in a storage module; s2, an analysis module analyzes the engineering data stored in the storage module; s3, an auditing module calls the analyzed engineering data and audits the quality score based on the engineering data; s4, an engineering cost index data analysis model in the iBIM platform performs automatic matching analysis on the analyzed and audited engineering data based on an automatic matching rule to obtain a data analysis result; s5, matching and identifying abnormal data in the data analysis result by a matching rate analysis module, and automatically correcting an automatic matching rule according to the abnormal data to improve the automatic matching quality; and S6, according to a plurality of engineering data analysis results and the formed database, measuring and calculating the new project based on the measuring and calculating model, thereby effectively improving the accuracy and efficiency of engineering data dynamic matching, and reducing the labor cost.

A system for determining hierarchical relationship in batches of documents is disclosed. A data collection module receives one or more batches structured and unstructured documents. A metadata configuration module defines the plurality of metadata fields, enabling structured metadata extraction. The metadata extraction module identifies and extracts metadata attributes using an artificial intelligence model or extraction techniques. A first level verification module classifies documents as parent or child based on extracted attributes. A reviewer module allows specialists to manually validate classifications. A rule defining module enables user-defined match-up rules for parent-child and peer-to-peer relationships. A second level verification module refines classification using contextual analysis and generates structured data including the metadata attribute and the corresponding plurality of metadata fields, the parent-child relationship and the peer-to-peer. The structured data is reviewed, and confirmed, by the one or more specialist. A display module to provide reviewed structured data to the user.

The invention relates to a message processing method and device of a power system, computer equipment, a computer readable storage medium and a computer program product. Comprising the following steps: receiving an original message in real time, and extracting a target field of the original message; based on the target field, judging a target application layer protocol corresponding to the original message; determining a target analysis channel corresponding to the original message based on the target application layer protocol; extracting a plurality of key fields of the original message through the target analysis channel; obtaining a preset matching rule base; matching the plurality of key fields with each matching rule in the matching rule base to obtain a matching state of each matching rule; generating a matching vector based on a matching state and a field value corresponding to the target application layer protocol; and determining a target matching rule based on the matching vector, and executing an operation in the target matching rule on the original message. By adopting the method, the application layer protocol type of the message can be quickly obtained, so that the message processing process is accelerated.

The invention provides a supply and demand transaction method and system based on a block chain, and the method comprises the steps: screening out a supplier list meeting a condition based on supplier information stored in the block chain, historical transaction records of suppliers, and a matching rule preset by an intelligent contract in response to a purchase demand issued by a buyer; pushing the purchase demand to at least one first-class supplier; the quotation information of the at least one first-class supplier is pushed to the buyer; in response to an evaluation request of the buyer for the quotation information of the at least one first-class supplier, generating an evaluation result; if it is detected that the buyer negotiates with the target supplier to determine a transaction term, generating an intelligent contract according to the transaction term; and if any preset trigger condition of the smart contract is detected to be triggered, executing an operation corresponding to any preset trigger condition. Therefore, the supply and demand parties can be intelligently and accurately matched, the intelligent contract of the supply and demand parties fused into the block chain is generated, and the success rate, credibility and transparency of the transaction of the supply and demand parties are improved.

The invention discloses a data quality and security processing system and method based on an automatic matching rule, and the system comprises a rule dynamic configuration module which achieves the dynamic mapping of rule parameters and a front-end form through JSON structural description; the multi-source data acquisition module is used for docking heterogeneous data sources; the data feature recognition module is used for extracting data features through a feature recognition technology and automatically matching and verifying rules; the distributed computing engine module is used for realizing parallel execution of data quality inspection and data security processing tasks based on Spark; and the closed-loop feedback module is used for optimizing a rule threshold through a historical check result. According to the method, the problems of rule solidification, low verification efficiency, difficulty in abnormal positioning and the like in traditional data quality inspection are solved, and real-time discovery, accurate positioning and automatic disposal of data quality problems are realized.

The invention discloses an e-commerce data intelligent processing method and system based on dynamic flow optimization. The method comprises the following steps: acquiring and analyzing multi-platform e-commerce data, and converting the multi-platform e-commerce data into a standardized format; constructing a matching rule by adopting a decision tree algorithm, and performing classification and priority marking on the data; the data flow is dynamically scheduled based on the priority, so that the high-priority data is executed preferentially; data are processed through parallel nodes, performance indexes such as network delay and throughput are monitored in real time, and data stream processing efficiency is optimized in combination with a dynamic scheduling algorithm. The system correspondingly comprises a data standardization module, a rule matching module, a dynamic marking module, a parallel processing module and a monitoring scheduling module, efficient and self-adaptive processing of the multi-source e-commerce data is achieved, and the data processing real-time performance and the system throughput are remarkably improved.

The invention discloses a method for extracting a pin routing length from a packaging file, which comprises the following steps of: obtaining a matching group generation tool, and placing the matching group generation tool in an environment configuration folder of PCB (Printed Circuit Board) design software; calling a matching group generation tool and an automatic creation function module in sequence to generate a matching window; selecting a bus network in the matching window, setting an initial position and an end position of a signal according to requirements to serve as a signal line for matching of the matching group generation tool, and creating a matching rule; and checking the established matching rule in the rule manager, and obtaining the information of the pin routing length. According to the method, the pin routing length information in the packaging design file is read through the matching group generation tool, the matching rule with the pin routing length information is created, and the packaging physical pin attribute is mapped to the packaging attribute layer, so that PCB design software directly obtains the pin routing length information; pin wiring length information can be exported through an output function of PCB design software.

This invention discloses a traffic marking method and apparatus based on rule matching. (i) If a program script is set for the matching rule, the program script is executed first for matching; (ii) If the script execution result is true, it indicates a match, and the request traffic is marked according to the pre-set marking; (iii) If it returns false, it indicates no match, and the traffic is not marked; (iv) The parameters of the script program are the request parameters of the system interface, which are dynamically passed to the script program when the script is run, and then the complex logic of the script program is used to finally give the result of whether to mark; (v) If no script is set, the basic rule information provided is used for matching and marking. This invention uses a combination of basic rules and advanced scripts, which can be flexibly applied to meet the marking requirements of different scenarios.

A quick rule matching method belongs to the field of information security, and mainly comprises the following steps: taking matching items of similar matching resources as a layer, and regarding each matched item combined in the same layer as a range; orderly arranging ranges in the same type of matching items according to upper and lower boundaries of the ranges to form a plurality of intervals; for complex rules quoting more than one type of matching resources, matching items of each type of matching resources and other single rules only containing the same type of matching resources are combined to the same level; and dividing the message to be filtered according to the hierarchy of the rules, and filtering out the unmatched rules layer by layer, thereby finally determining the specific rule corresponding to the message. According to the method, the overall rule scale is reduced, the scale of a matching rule set is further reduced during matching, and the matching performance of a single rule is improved to improve the efficiency of a whole matching system.

The invention relates to the technical field of network operation and maintenance, and provides a multi-agent discovery method and device in an operator scheduling scenario, and the method comprises the steps: obtaining a command scheduling instruction inputted by a user; performing agent self-matching on the command and dispatch instruction according to a matching rule configured by each agent, wherein each agent is configured with at least one matching rule; under the condition of successful self-matching, determining the matched intelligent agent as a target intelligent agent; under the condition that self-matching fails, inputting the command and dispatch instruction into a pre-trained agent decision-making model to obtain a target coding text output after the agent decision-making model identifies the intention of the command and dispatch instruction, and under the condition that the target coded text is matched to a to-be-matched coded text configured in the matching rule of any agent, determining the any agent as a target agent. According to the method, the target agent matched with the command and dispatch instruction input by the user can be quickly and accurately found in a low-delay manner.

The invention discloses a task resource allocation method and device, equipment and a storage medium. The task resource allocation method comprises the steps that in response to a task processing request, resource pool matching is conducted according to labels carried by a task and matching rules of all resource pools, and the matching rules are set based on the labels and support logical operation among the multiple labels; and according to the task type and the algorithm requirement of the task, allocating resources in a resource pool matched with the task to process the task. In this way, simplified allocation of algorithm task resources can be achieved.

The invention discloses a data processing method and device, equipment, a medium and a product. The method comprises the following steps: acquiring cargo information input by a user; determining a matching rule corresponding to the cargo information and the weight of each matching item in the matching rule; and based on the matching rule and the weight of each matching item in the matching rule, screening the plurality of shipping plans in the database to obtain a target shipping plan, through the technical scheme of the invention, the accuracy of the target shipping plan obtained through screening can be improved, and the efficiency of obtaining the target shipping plan can be improved.

The invention provides a dual-carbon transaction service platform with a transaction information accurate matching function, and relates to the technical field of carbon transactions, and the dual-carbon transaction service platform comprises a sequentially nested verification chain formed by a token issuing unit, an area pre-detection unit, a time window response unit, a data interoperation unit, a manual verification unit and an electronic filing unit which run in sequence. The platform carries the mapping information by using the digital token, the category code corresponds to the carbon quota category, the aging state code is bound with the effective time period, and the regional feature code is associated with the regional emission factor data. During verification, region consistency is verified through an algorithm, period effectiveness is judged through system time, kernel exposure is triggered through a data matching rule, finally, an authenticator carries out visual comparison and applies digital marks, and whole-course data is recorded and evidence-stored through an electronic filing unit.

The invention belongs to the technical field of data processing, and discloses a policy service accurate pushing method and system for medium and small enterprises. Comprising the following steps of: constructing a matching rule base covering four types of conditions of regions, scales, industries and products by performing clause-level atomization disassembly and multi-dimensional knowledge expansion on enterprise industry and commerce information on policy texts, and realizing cross-dimensional consistency matching of policy conditions and enterprise characteristics; according to the method, construction of a logical dependency relationship graph is introduced, atomic judgment conditions are used as graph nodes, a core admission chain is identified through dependency strength weights and topological sorting, matching confidence is quantified based on path weights and a logical propagation algorithm, and enterprise policy applicability and information gaps are accurately identified; the method has intelligence and accuracy, deep semantic analysis and applicability evaluation can be carried out on policy terms, and personalized difference pushing is effectively achieved.

The present application relates to the technical field of data matching, and provides a heterogeneous rule matching method and device. In the present application, rule hierarchy structure and other information are abstracted into a rule model, and the rule model is constructed using a tree structure according to specific predetermined rule data, so that the problem of poor code reusability for similar heterogeneous matching rules is solved. By constructing a rule filter, the matching efficiency is improved. During matching, only the rule model is used to match according to the logical relationship in the rule model, so that the use of all original data to be matched to traverse all rules for sequential matching is avoided, and the matching efficiency is higher. Further, the predetermined rule data is integrated and classified by constructing an index, so that the matching efficiency is further improved, and the probability of matching errors is reduced.

The invention discloses a dynamic governance method about site master data, and relates to the technical field of data governance. Comprising the steps of 1, establishing a main database, 2, importing site data in an APP into an APP governance library, 3, contrasting and reconciling with the main database according to a preset matching rule, and establishing site association, 4, defining a governance quality evaluation item, 5, carrying out dynamic effect evaluation, 6, continuously completing governance, and aiming at site records in the APP governance library, carrying out dynamic effect evaluation on the site records in the APP governance library. 7, APP inspection and increment importing into a governance library are conducted for management, the subsequent increment of the APP is monitored, data are manually or automatically grabbed from the APP through regular inspection, the increment is imported into the governance library, and the next evaluation governance cycle is entered.

A data generation method and apparatus based on matching rules, an electronic device, a non-transitory computer-readable storage medium, and a computer program product. The method includes: constructing capability indicator system data in a tree structure; obtaining test requirement data for a project; parsing the test requirement data to extract keywords from the test requirement data; determining basic indicator data that matches the keywords, and based on the association relationship between leaf nodes and the basic indicator data, determining a capability indicator system associated with the matched basic indicator data from the capability indicator system data in the tree structure; and associating the matched basic indicator data and the determined capability indicator system with test requirements at different levels to generate a test capability requirement list.

The invention provides a transaction matching method and system and related equipment, and the method comprises the following steps: obtaining transaction data, determining a plurality of matching rules matched with the transaction data, sorting the plurality of matching rules based on the score of each matching rule, and obtaining a sorting result, the score of each matching rule is in direct proportion to the refining degree of the condition in each matching rule, determining the transaction account used by the transaction data based on the sorting result, configuring the score representing the refining degree for each rule, and when the transaction occurs, if the number of the rules successfully matched with the transaction data is multiple, determining the transaction account used by the transaction data. At the moment, the transaction account can be determined by selecting the rule with the highest refining degree based on the score, so that the problem that the transaction cannot be carried out due to the fact that the matching result comprises a plurality of accounts is solved, manual participation is not needed, and the user experience is improved.

According to the abnormal data analysis method and the abnormal data analysis platform provided by the invention, when the abnormal data analysis platform receives the alarm information published by the alarm system, the corresponding abnormal analysis task script can be matched for the alarm information based on the pre-configured matching rule; as the exception analysis task script is configured according to different application scenes in the service system, when the exception analysis task script obtained after matching runs, the exception reason of the alarm information can be quickly and accurately positioned, and an accurate exception data solution is provided for a user.

The invention relates to a test case generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: determining attribute information of test parameters of a target network application program interface according to standard information of the target network application program interface; obtaining a preset matching rule, and determining a target predicate corresponding to the test parameter based on the preset matching rule and the attribute information; constructing a query task according to the target predicate, and determining a test case of the target network application program interface based on a query result under the condition that the query result of the query task meets a preset condition. By adopting the method, the efficiency of generating the test case can be effectively improved.

The present application relates to the field of receivables management, in particular to a kind of receivables automatic clearing management method, the receivables automatic clearing management method is by obtaining the data of the proceeds of the project pre-processing, and according to the matching rule of multilevel is matched to obtain data matching result, according to scene matching condition, the data matching result is matched transaction scene to avoid artificial transaction scene judgment, the data matching result of transaction scene carries out data check, and through clearing condition identification data check result, the proceeds of the project is cleared step, and using confidence level grading condition is graded and data confirmation, and the proceeds of the project after data confirmation generates accounting voucher, simultaneously marks its reconciliation state and generates matching number, through data check, the association between receivables information and proceeds information, avoid artificial repetitive operation account reconciliation, so as to avoid reconciliation delay and improve reconciliation efficiency.

The invention provides a label-based message service engine, and the engine comprises a label subscription management module which is used for processing a label subscription request of a user, constructing a matching rule tree of the user, and registering the matching rule tree; the labelled message processing module is used for extracting a label of the message, constructing a label vector of the message according to the label, and constructing a label index; the label matching engine is used for extracting a label vector of a new message when the new message arrives, calling a label matching algorithm based on a label index to traverse all registered matching rule trees, and determining a successfully matched user list; and the message distribution module is used for pushing the new message to the message queue of each user in the user list. According to the method and the device, accurate matching between the message and the complex subscription condition of the user is realized based on a label mechanism, so that the message received by the user better meets the requirement, the efficiency in the matching process is improved in combination with the matching rule tree and the multi-level label index, and an efficient pushing effect in a complex subscription scene is completed.

The application discloses a data query method and device based on regular matching, equipment and medium, the method comprises: obtaining a query request containing query data; the query data contains at least one first string; according to the preset regular matching rule and the preset association sequence, all first strings in the query data are regularly matched, and a first hash field with a hash structure is generated; according to the first hash field, a second hash field matched with the first hash field is queried in the regular matching dictionary of the cache database; according to the storage code associated with the second hash field, the relational data corresponding to the query data is obtained from the relational database. The application improves the speed and efficiency of data query.