39 results about "Logical tree" patented technology

The present application relates to the technical field of computers, and in particular to a fault root cause locating method, a fault root cause positioning system implementing the method, and a computer-readable storage medium and a computer program product. The method comprises: acquiring an architecture topology graph and abnormal alarm information of an application system; on the basis of the architecture topology graph and the abnormal alarm information, constructing a troubleshooting logical tree, wherein in the troubleshooting logical tree, a logical relationship between nodes is used to indicate a potential fault propagation link between configuration components in the architecture topology graph; performing qualitative analysis on the troubleshooting logical tree, so as to identify a potential fault point that causes a fault; performing quantitative analysis on the troubleshooting logical tree, so as to calculate a fault probability and the degree of influence of each potential fault point; and on the basis of results of the qualitative analysis and the quantitative analysis, determining a root cause fault point, and acquiring a fault propagation link of the root cause fault point.

In some implementations, a memory apparatus may receive a command indicating a logical block address (LBA) that is associated with a logical-to-physical (L2P) table. The memory apparatus may perform a lookup operation associated with a compressed version of an address range of the L2P table to identify a physical address in non-volatile memory associated with the LBA, wherein the compressed version is stored in a volatile memory of the memory apparatus, wherein the compressed version is associated with an exception list that indicates physical addresses for respective LBAs, included in the address range, that are associated with non-sequential physical addresses, and wherein the compressed version is associated with a binary tree that indicates locations in the exception list associated with the respective LBAs. The memory apparatus may perform, based on the command, an action associated with the physical address.

The invention provides a visual logic execution system and method based on logic block nesting and JSON (JavaScript Object Notation) dynamic configuration, and the system comprises a front-end visual editing module which is used for providing a logic block library and a nested canvas editor, receiving the dragging and nesting operation of a user based on a logic block, and storing the dragging and nesting operation in the front-end visual editing module; serializing the finally edited nested logic tree structure into JSON (JavaScript Object Notation) configuration data; the back-end dynamic analysis execution module is used for receiving and persisting the JSON configuration data, constructing an executable object tree isomorphic to the nested logic tree structure by dynamically analyzing the JSON configuration data, and executing the executable object tree to run logic edited by a user; and the front-end visual editing module communicates with the rear-end dynamic analysis execution module through a data transmission interface. The front end and the rear end are coupled through the JSON interface, and the front end and the rear end can be independently upgraded and expanded.

This invention relates to the fields of computer data processing and network communication technology, specifically to a method and system for real-time synchronization of paperless interactive information across multiple terminals. The method includes: a logic construction step: acquiring the original interactive command stream, constructing a semantic causal logic tree based on a vector clock, and dividing strong barriers and weak streaming events; a backpressure monitoring step: establishing a rendering backpressure model to calculate the rendering backpressure value of the target terminal; a dynamic shaping step: responding to a backpressure value exceeding a threshold, reducing the dimensionality of the command stream and reorganizing its timing, attaching weak streaming events to strong barrier events and merging them into an atomic state snapshot for transmission; and a consistency verification step: comparing the screen content-aware hash value, and if a mismatch occurs, performing full state synchronization. This invention solves the problem of visual semantic confusion caused by differences in rendering capabilities between heterogeneous terminals.

This invention relates to the field of artificial intelligence decision-making technology, specifically to an intelligent decision-making system and method based on a large model. The system includes: receiving raw decision request streams from heterogeneous business sources; performing semantic normalization and knowledge enhancement processing on these streams to generate a structured decision query containing a core problem statement, key fact triples, and a knowledge index; invoking a large language model inference engine to generate a preliminary decision reasoning chain based on the structured query; using a predefined decision logic constraint graph to perform consistency verification and completion of the reasoning chain, generating a verified complete decision logic tree; and performing pattern matching in an executable atomic operation library based on the logic tree to map and assemble an executable decision action plan. This invention improves the understanding accuracy, reasoning reliability, and decision executability of large models in complex decision-making scenarios through structured query input and external logic verification.

The present application relates to an enhanced LLM-RAG multi-hop question and answer method based on logical tree reasoning, belonging to the field of new generation information technology, comprising the following steps: inputting a multi-hop question and answer problem into a computer system; the computer system calls a pre-trained large language model LLM, recursively decomposes the multi-hop question and answer problem into a hierarchical logical tree, each node of the logical tree contains a sub-problem and a corresponding assumed answer; based on the sub-problem and the assumed answer of each node, image retrieval is performed from a structured knowledge source Wikidata, and text retrieval is performed from an unstructured knowledge source Wikipedia, to obtain corresponding evidence; traversing the logical tree, verifying the consistency of the assumed answer and the evidence of each node through the LLM, if there is a contradiction, reconstructing the corresponding sub-tree and dynamically modifying the reasoning path; integrating the node information of the verified logical tree, and outputting the accurate answer of the multi-hop question and answer problem.

The invention discloses an invalid operation prompting method and device, a storage medium and a system. The method comprises the following steps: acquiring and identifying an operation signal of an equipment operator; retrieving a logic tree associated with the operation signal; wherein the operation signal is associated with at least one logic tree; based on each logic tree, retrieving whether a preset condition allowing response to the operation signal is established or not; if the preset condition is not established, based on a corresponding logic tree, searching out a limiting root cause corresponding to the preset condition which is not established; and sending the restriction root cause code to an information prompting unit, so that the information prompting unit prompts the restriction root cause code. According to the technical scheme, the limiting root cause can be actively recognized and prompted, the experience requirement for troubleshooting response abnormity of an operator is lowered, and normal operation of equipment is guaranteed.

The invention relates to the technical field of computer data processing and network communication, in particular to a paperless interaction information multi-terminal real-time synchronous processing method and system, and the method comprises the following steps: a logic construction step: obtaining an original interaction instruction stream, constructing a semantic causal logic tree based on a vector clock, and dividing strong barrier and weak stream events; a back pressure monitoring step: establishing a rendering back pressure model to calculate a rendering back pressure value of the target terminal; a dynamic shaping step: in response to a condition that the backpressure value is higher than a threshold value, performing dimension reduction and time sequence recombination on an instruction stream, mounting a weak stream event to a strong barrier event, and combining the weak stream event and the strong barrier event into an atomic state snapshot for sending; a consistency verification step: comparing the screen content perception hash values, and if the screen content perception hash values are not matched, executing full-amount state synchronization; according to the method, the problem of visual semantic disorder caused by different rendering capabilities of heterogeneous terminals is solved.

This invention relates to the field of human-computer interaction technology, providing a general virtual disassembly and assembly interaction method and system for mechanical equipment. The method includes: acquiring a 3D model with preset part type information, assembly relationship information, and default disassembly and assembly semantic information; automatically generating a part logic tree by parsing and extracting the semantic information; automatically generating a basic disassembly and assembly state machine by matching preset disassembly and assembly rule templates according to the part type information; displaying a disassembly and assembly logic arrangement view in the interactive interface, allowing users to adjust the disassembly and assembly logic parameters of parts through drag-and-drop arrangement operations, and updating and generating a target disassembly and assembly state machine; binding the target disassembly and assembly state machine with the 3D model and saving it as a semantically enhanced model; and finally, determining the executable operation corresponding to the current part based on the target disassembly and assembly state machine during runtime, and displaying the next operation prompt information based on the part type information. This provides real-time and accurate operation guidance for teaching, training, and maintenance scenarios.

The invention relates to a method and device for operating a robot, computer equipment and a readable storage medium. The method comprises the following steps: acquiring input data, and verifying the validity of a local expression to which the input data belongs; under the condition that the local expression is effective, a logic tree is updated based on the local expression, the logic tree comprises an overall expression and the local expression, and the logic tree is used for representing the logic relation between the overall expression and the local expression; under the condition that updating of the logic tree is completed, the effectiveness of an overall expression corresponding to the logic tree is verified, and the overall expression comprises a plurality of local expressions; and under the condition that the overall expression is effective, the overall expression is converted into a robot execution program. By adopting the method, the programming efficiency of a complex robot logic expression can be improved.

The invention provides an AI intelligent calculation platform reasoning acceleration method and system, and relates to the technical field of artificial intelligence and deep learning. Retrieving cache records of historical memory access data in the to-be-retrieved data set, wherein the historical memory access data correspond to the query normal form to which the query request belongs; constructing a query logic tree according to the retrieval query request to obtain a cache hit probability of each piece of vector data in the to-be-retrieved data set; according to the query complexity and the cache hit probability, determining the partitioning granularity and the memory access step length of the vector data in the data set to be retrieved; establishing a mapping relationship between the query logic tree and the storage address to obtain target address space distribution; constructing a tensor layout mapping table matched with the query logic tree according to the block granularity; based on the tensor layout mapping table and the memory access step length, reasoning acceleration is realized, and the reasoning throughput and the real-time response efficiency of a large language model on an intelligent calculation platform are improved.

The application relates to the technical field of computer data processing, and discloses a search formula generation method and system based on instruction recombination and local feedback optimization, the search formula generation method comprising the following steps: step S1, dynamic assembly and semantic expansion of instruction segments; step S2, controlled term filtering based on a longest match mechanism; step S3, construction of a Boolean logic tree; and step S4, closed-loop logic repair based on component ID mapping. The application significantly reduces interaction overhead and computing resource consumption, solves the semantic drift problem of composite terms in a cross-language scenario, and realizes the compatibility of the probability of a generative model and the determinacy of a database syntax.

The invention discloses a product search method and device, equipment, a storage medium and a product, and is applied to the technical field of artificial intelligence. The natural language query content is input into the large language model, a product search logic tree is generated through the large language model, the product search logic tree comprises a root node and at least one branch node, the root node corresponds to a product category, and each branch node corresponds to a product search dimension and a search constraint condition on the product search dimension; inputting the product search logic tree and the natural language query content into a product field intention recognition model, and performing intention recognition by the product field intention recognition model to obtain at least one target intention; and searching at least one target product corresponding to the target intention by taking the target intention as a search condition, so that the product search accuracy and efficiency can be improved.

This invention discloses a condition parsing and execution method, apparatus, and computer device based on dynamic configuration. The method includes: obtaining conditional expressions and corresponding data; constructing a logic tree structure; traversing conditional items; determining whether a conditional item is a leaf node; if so, querying the operator registry to determine if the operator exists; if it exists, executing the operation algorithm and performing type adaptive processing to obtain a Boolean result; recording the Boolean result; determining whether the current conditional item is the last conditional item; if so, applying root logic to output the result; if it does not exist, performing exception handling; if the conditional item is not a leaf node, recursively processing sub-conditions and aggregating the results to obtain a Boolean result, and then recording the Boolean result. By implementing the method of this invention, flexible and easily maintainable conditional processing capabilities can be achieved, effectively solving problems such as rigid architecture, high maintenance costs, and functional limitations in existing technologies.

The invention discloses a risk control rule hit analysis method and device, equipment and a storage medium, and relates to the technical field of financial risk control, and the method comprises the steps: obtaining a target risk control rule pre-constructed in the financial industry, and constructing a logic tree corresponding to the target risk control rule; determining to-be-audited target index data, traversing the logic tree based on the target index data to determine a satisfied target atomic condition based on the logic tree, and determining a target leaf node corresponding to the target atomic condition; determining a hit path based on the target leaf node and the logic tree, and determining a target weight corresponding to the target leaf node in the hit path; if a plurality of different hit paths exist, determining a target atomic condition corresponding to the same target leaf node in each hit path as a public condition; and generating a risk control rule hit analysis report based on the preset structured format, the hit path, the target weight corresponding to the target leaf node and the public condition. According to the invention, the analysis efficiency of the risk control rule hit result can be improved.

A blockchain data storage method, a key-value pair of blockchain data in a logical tree structure of root nodes, intermediate nodes and leaf nodes is stored in a database; the root nodes and the intermediate nodes are used to store characters in the key of the blockchain data; the leaf nodes are used to store values of the blockchain data; comprising: obtaining a key-value pair of the blockchain data to be stored; converting the key-value pair of the blockchain data into root nodes, intermediate nodes and leaf nodes in a logical tree structure; caching at least part of the nodes in the root nodes and the intermediate nodes to a storage medium supporting overlay writing data; generating a data record for recording modification update details of the at least part of the nodes, and writing the data record and other nodes in the root nodes, the intermediate nodes and the leaf nodes except the at least part of the nodes into the database for persistent storage.

The invention provides a structured query language processing method and device for resume intelligent screening, and relates to the technical field of computers.The method comprises the steps that a natural language query statement corresponding to resume screening input by a user is received, entity information in the natural language query statement is extracted, the entity information is converted into an entity triad, and the entity triad is sent to the user; wherein the entity triad comprises an entity type, a relation value and an entity relation; based on the logic conjunctions in the natural language query statements, a logic tree representing the logic relation between the screening conditions is constructed, non-leaf nodes in the logic tree represent the logic relation, and leaf nodes are the entity triples; and performing conversion according to the logic relationship represented by the logic tree to obtain a logic expression, converting the logic expression and the entity triad into SQL statements, and performing intelligent resume screening by executing the SQL statements to obtain a resume screening result.

The invention provides a medical record home page quality control method and device based on a dynamic nested logic tree, and relates to the technical field of coding quality control. Determining a corresponding target quality control rule tree from a rule base in response to the request, and outputting prompt information about whether the tree exists or not for a user to input and operate; when a creation operation for the medical record home page data quality control rule tree is received, generating a target quality control rule tree of which father and child nodes are formed by a plurality of reusable rule components and / or a plurality of quality control child rule trees; and then receiving a second quality control request containing the home page data of the medical record to be subjected to quality control, responding to the request and executing quality control on the home page data of the medical record to be subjected to quality control based on the target quality control rule tree, and finally obtaining a quality control result. The problems that an existing rule engine is insufficient in flexibility and adaptability, insufficient in rule transparency and the like are solved.

Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.

This invention discloses a rule-based intelligent accounting strategy configuration method, relating to the field of distributed intelligent accounting technology. The method includes: collecting rule metadata and business characteristics, and constructing a full rule set based on the rule metadata; edge nodes retrieving business transaction logs and performing simulated accounting on the business transaction logs in a simulated accounting environment based on a rule logic tree, outputting simulated accounting data; performing benchmark accounting on the business transaction logs in a production accounting environment using the full rule set, outputting benchmark accounting data; comparing the simulated accounting data with the benchmark accounting data, and when the comparison results are consistent, replacing the full rule set with a lightweight rule set in the production accounting environment to generate a lightweight intelligent accounting strategy. This invention improves the accounting efficiency of edge nodes and the maintainability of rules.

A first network node device obtains a first tree building request initiated by a first computing node device in a plurality of computing node devices. The first network node device updates, based on the first tree building request, a value of a tree building request counter that is in a tree building information table and that corresponds to a first logical tree. The first network node device determines a tree building result based on the tree building request counter and a first threshold.

This invention relates to the fields of computer-aided design and power equipment manufacturing technology, and discloses a rule-based configuration and streaming assembly method for three-dimensional models of industrial products. The method includes: generating an assembly logic tree based on voltage level and short-circuit impedance; parsing the logic tree into a sequence of assembly instructions containing geometric topological feature vectors; starting an assembly instruction execution engine; traversing the feature tree structure to extract historical information during the model update phase; and when a reference index becomes invalid due to parameter changes, performing a weighted matching search on candidate geometric surfaces using geometric topological feature vectors to lock in a new assembly reference and complete model assembly. This invention effectively solves the problem of assembly reference loss caused by abrupt changes in topology in transformer parametric design by introducing geometric topological feature vectors as an identity independent of the software's internal indexes, and achieves adaptive reconfiguration of complex insulation components under different voltage levels and capacity requirements.

The invention relates to a code logic visualization modeling method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a call chain of an entry method; generating an enhanced AST logic tree according to the call chain; wherein the enhanced AST logic tree is obtained by expanding a standard AST syntax tree corresponding to the call chain based on a logic execution sequence corresponding to the call chain; fusing the call chain with the enhanced AST logic tree to obtain a fusion model; and based on the fusion model, constructing a target DOT graph for the call chain. According to the method and the device, high-precision and high-efficiency code logic visualization can be realized in a complex framework scene.

The invention relates to the technical field of industrial data processing, and discloses an imperceptible hierarchical watermark embedding method based on language model multi-bit embedding, which comprises the following steps: acquiring a to-be-processed industrial design script sequence, a candidate mark list and an instruction logic tree; determining a logical topology depth value of the candidate mark relative to the global reference node based on the node dependency; calculating a dynamic sampling offset operator by combining the private key, the hash value and the depth value; dimension remapping correction is carried out on marks containing geometric constraint values, sampling space partition modulation and multi-bit watermark embedding are carried out on high-entropy semantic intervals on the basis of operators, watermark information and an industrial instruction logic framework are deeply coupled, geometric parameters are avoided through a nonlinear correction mechanism, and the numerical accuracy of design scripts is guaranteed; detection modes are switched according to the text length, layered traceability management is achieved, and the safety audit efficiency of industrial assets is improved.

In some implementations, a memory apparatus may receive a command indicating a logical block address (LBA) that is associated with a logical-to-physical (L2P) table. The memory apparatus may perform a lookup operation associated with a compressed version of an address range of the L2P table to identify a physical address in non-volatile memory associated with the LBA, wherein the compressed version is stored in a volatile memory of the memory apparatus, wherein the compressed version is associated with an exception list that indicates physical addresses for respective LBAs, included in the address range, that are associated with non-sequential physical addresses, and wherein the compressed version is associated with a binary tree that indicates locations in the exception list associated with the respective LBAs. The memory apparatus may perform, based on the command, an action associated with the physical address.

The invention relates to an electric quantity data analysis code self-generation method and device based on natural interaction, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a natural language instruction used for describing electric quantity data analysis processing is acquired, and the natural language instruction is converted into a word segmentation sequence; performing semantic mapping from the power data knowledge base according to the word segmentation sequence to obtain a structured semantic mapping object corresponding to the natural language instruction; performing semantic role label labeling on each segmented word in the segmented word sequence to obtain a labeling sequence corresponding to the segmented word sequence; generating a logic tree according to each segmented word, the respective attention weight of each segmented word and the respective semantic role label of each segmented word in the labeling sequence; based on the logic tree and the structured semantic mapping object, an executable query code is generated, and the executable query code is used for executing electric quantity data analysis processing. By adopting the method, the processing efficiency of electric quantity data analysis can be improved.

Arrangements for holistic end-to-end process data automation operations are provided. Process data including entity-level data and group-level data may be identified. The entity-level data may include individual tasks, and the group-level data may include sets of tasks to be executed in a predefined sequence. The group-level data may be synchronized with the entity-level data by mapping respective content and configurations. A logical tree structure for the entity-level data and the group-level data may be generated. The generating may include dividing, via a topmost sub-hierarchy layer, the logical tree structure into a first subtree of nodes representing the entity-level data and a second subtree of nodes representing the group-level data. An instance may be generated from the logical tree structure based on one of the first subtree or the second subtree. A consolidated report unifying the entity-level data and the group-level data may be output based on the generated instance.

This application discloses a data synthesis method and related apparatus, electronic device, and storage medium. The data synthesis method includes: obtaining a logic tree template and a background information pool of a target reasoning scenario; recursively completing the logic tree template based on the background information pool to obtain a target logic tree for the target reasoning scenario; synthesizing a story based on the target logic tree to obtain a target story text; constructing data based on the target story text to obtain sample question-answer pairs; and performing secondary verification based on the sample question-answer pairs to determine whether to retain them. The secondary verification includes a first verification and a second verification. The first verification verifies whether the answer text correctly answers the question text, and the second verification verifies whether the reasoning text is reasonable. This approach can generate high-quality reasoning data in large quantities.

The invention relates to the technical field of artificial intelligence decision-making, in particular to an intelligent decision-making system and method based on a large model, and the method comprises the steps: receiving an original decision-making request stream from a heterogeneous business source, and carrying out the semantic standardization and knowledge enhancement processing of the original decision-making request stream, and generating a structured decision query containing a core question expression, a key fact triple and a knowledge index. Calling a large language model inference engine, and generating a preliminary decision inference chain based on the structured query; and performing consistency verification and complementation on the inference chain by using a predefined decision logic constraint graph to generate a verified complete decision logic tree. And according to the logic tree, performing pattern matching and mapping in an executable atomic operation library, and assembling an executable decision action plan. According to the method, through structured query input and external logic verification, the understanding accuracy, reasoning reliability and decision performability of a large model in a complex decision scene are improved.

This invention discloses a non-volatile Boolean logic operation circuit based on SOT-MTJ, including an MTJ write circuit module, an MTJ logic tree module, and a pre-charge amplifier module. The MTJ write circuit module is used to write an MTJ state to each of the SOT-MTJs, and the MTJ states include parallel states and antiparallel states. The MTJ logic tree module is used to control the resistance value of the circuit formed by the SOT-MTJs according to the MTJ states. The pre-charge amplifier module is used to output the Boolean logic result corresponding to the MTJ state according to the resistance value. This invention achieves non-volatile Boolean logic by writing MTJ states to the SOT-MTJs in the MTJ logic tree module, controlling the resistance value of the SOT-MTJs, and outputting the Boolean logic result according to the resistance value of the circuit formed by the SOT-MTJs. Furthermore, the resistance value of the SOT-MTJs is not lost due to power loss. Due to the small size design of SOT-MTJs and compatibility with CMOS technology, an in-memory computing architecture for small-size devices is realized. This invention can be widely applied in the field of electronic technology.