80 results about "Instruction list" patented technology

The invention relates to a programming review method and system based on multi-modal data. The method comprises the following steps that source code fragments are collected, character format matching is carried out, consistent items are output, and initial node mapping is generated; extracting a pointer reference and calling sequence, carrying out node association recombination, screening node levels, carrying out semantic mark matching, summarizing a connection path, checking a code security scanning index, and generating a dynamic semantic structure; carrying out stack-up matching to compare pixel distribution and label similarity, scanning edge coordinates, checking label corresponding positions and visible area distribution, judging feature co-occurrence, and generating multi-modal associated features; and performing program logic checking, analyzing a variable initialization sequence, generating a checking element set, comparing code security scanning indexes, generating security scanning information, judging a risk identification level and generating a review instruction list. Compared with the prior art, the information utilization rate and the correlation analysis depth in the code review process can be improved, and the accuracy of program defect and risk discovery is enhanced.

The invention discloses an intelligent precise part machining quotation method and system based on a large language model, and belongs to the technical field of intelligent manufacturing and artificial intelligence. Semantic analysis is performed on unstructured manufacturing demand information through the large language model, and key manufacturing process parameters are extracted; if the demand is not complete, a structured process instruction list is output through multiple rounds of clarification inquiry; after the three-dimensional part model is analyzed, machining features are recognized, and when to-be-confirmed features exist, a machining feature list is generated through a man-machine collaborative confirmation mechanism; calculating technical cost according to the structured process instruction list and the processing feature list; non-technical factor information is obtained through a large language model, verification and adjustment are carried out until compliance is achieved, and non-technical cost is calculated; integrating the two types of costs to obtain a total quotation, visually displaying the total quotation and the cost composition, and outputting a quotation sheet after confirmation; the problems that an existing quotation system is difficult in natural language demand analysis, unreliable in feature recognition and lack of an interaction confirmation mechanism are solved.

An assistance device according to one aspect of the present disclosure is for assisting a business in which a first person interacts with a second person. The assistance device comprises: a creation unit that creates an instruction document including at least a text representing an utterance of at least one of the first person and the second person, and a command for generating the text and information for assisting the business from the text, on the basis of a pre-created template; and a generation unit that generates the information by a trained machine learning model, on the basis of instruction document.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a mobile phone RPA automatic system based on natural language analysis. The system comprises a voice input interface module which is used for providing an interactive interface for a user and converting voice input by the user into a text; the natural language processing module is used for performing preprocessing, intention classification, entity extraction and task disassembly on the text converted by the voice input interface module and generating structured task description; the RPA module is used for generating a corresponding RPA instruction list by utilizing a mapping rule according to the structured task description, calling an RPA execution engine to sequentially analyze RPA instructions, and simulating user operation on a mobile phone through a UI automatic tool to complete a task; and the feedback display interface module is used for providing feedback information according to the task completion condition and allowing the user to select to continue the operation or re-initiate the task.

The invention discloses a line adjustment system, method and device and a computer readable storage medium, and relates to the technical field of circuits, and the system comprises a line controller and a bus multiplexer; the first input end of the bus multiplexer is connected with the BMC through a public bus, the second input end of the bus multiplexer is connected with the BMC through a private bus, the output end of the bus multiplexer is connected with the slot, and the enabling end of the bus multiplexer is connected with the line controller; the line controller is used for acquiring a line control instruction of the BMC to the slot and analyzing the line control instruction; controlling the first input end to be switched on and controlling the second input end to be switched off in response to the fact that the line control instruction represents access through the common bus; and controlling the first input end to be closed and controlling the second input end to be conducted in response to the condition that the line control instruction represents access through the private bus. According to the method and the device, the BMC can flexibly and adaptively switch the bus of the equipment on the access slot, and the access stability of the BMC to the external equipment is improved.

The invention provides a city enrollment number prediction method and device, a medium and a program product, and the method comprises the steps: inputting a historical enrollment number into a pre-trained large language model, and obtaining a predicted enrollment number; wherein the training of the large language model comprises the following steps of: cutting a historical enrollment number sequence for training into blocks, modeling by using a time sequence encoder to obtain vector representation, and converting the vector representation into a large language model space by using a time sequence adapter; replacing a time sequence specific token in a pre-constructed pluggable sequence sensing instruction with the vector representation converted into the large language model space in a pluggable manner to obtain a replacement instruction representation; and performing model fine tuning by using the replacement instruction representation and a pre-constructed cross entropy loss function to obtain a trained large language model. According to the technical scheme, the advantages of the large model and the time sequence model are combined, and the precision of urban enrollment number prediction can be improved.

The application relates to the technical field of data management, and is an industrial production energy consumption optimization management data processing system. The system comprises an energy consumption graph construction module, an energy efficiency matrix generation module, an energy consumption evaluation module, an abnormality identification and strategy retrieval module and an instruction generation and adaptation module. Real-time energy consumption data and operation parameters of a production line are subjected to multi-scale feature analysis to construct a multi-dimensional energy consumption graph and a multi-modal energy efficiency state matrix. The expected energy consumption state of the production line under the current working condition is subjected to weighted quantitative evaluation to obtain a theoretical optimal energy consumption value. The multi-dimensional energy consumption graph and the multi-modal energy efficiency state matrix are subjected to collaborative identification, and the identification result is mapped to a historical optimization case database of the production line to retrieve a candidate regulation and control strategy. Equipment regulation and control parameters and execution time sequences in the adaptive strategy are encoded and packaged to obtain an optimization regulation and control instruction list. The application can improve the efficiency of industrial production energy consumption optimization management.

An online concierge system generates suggested instructions for presentation to a user. The online concierge system access instruction examples corresponding to a target item category and generates candidate instruction representations based on instruction messages within each instruction example. The online concierge system generates preliminary scores for the candidate instruction representations that are directly related to an intra-category frequency of use of the instruction tokens of the candidate instruction representation within the target item category. The online system normalizes these preliminary scores for the candidate instruction representations based on the inter-category frequency of use of the instruction tokens in all item categories to generate final scores for the candidate instruction representations. The online concierge system selects a set of instruction representations based on these final scores and generates suggested instructions based on the set of instruction representations.

The application provides a device data processing method and device, electronic equipment and readable storage medium, and applies to the technical field of device data processing. The method comprises the following steps: when the communication state between a management device and an instruction sending device is switched from disconnection to reconnection, the management device identifier is sent to the instruction sending device, so that the instruction sending device acquires the data deletion instruction corresponding to the management device identifier from the data deletion instruction list according to the management device identifier, and sends the data deletion instruction to the management device; the device type of the to-be-deleted device carried by the data deletion instruction is acquired; the data deletion strategy corresponding to the device type is acquired, and the local data of the to-be-deleted device is deleted according to the data deletion strategy. The method of the embodiment can delete the local data of the to-be-deleted device at the same time when deleting the device, so that the leakage of device data is prevented.

The invention relates to the technical field of multi-modal interaction, in particular to a multi-modal interaction control method and system for a sweeping robot, and the method comprises the following steps: collecting voice and gesture input, extracting voice trigger information and action features, generating a modal frequency mark and an instruction list, matching a task path, and generating a modal identification table. The method comprises the following steps: extracting and comparing action sequences to recognize a master control mode, analyzing continuity to generate a response mark, and screening consistent input to generate an interaction instruction result. In the method, through extracting time, quantity and confidence characteristics of voice and gesture input, establishing frequency and trigger marks of multi-mode input, realizing accurate recognition of an input state; a task path and semantic content are combined to carry out space and semantic matching, the task relevance judgment capability is improved, based on action code comparison, dominant modes are identified, conflict instructions are eliminated, the master control status of each mode in continuous tasks is dynamically balanced, the control response accuracy is improved, and an interaction mechanism with intelligent judgment capability is constructed.

The invention relates to the technical field of computers, in particular to a metamorphic relation identification method based on program dependency graph features. The method comprises the following steps: obtaining a control flow graph (CFG) of a target program, and obtaining a control dependency graph according to the control flow graph and a forward dominating tree; obtaining a program dependency graph according to the control dependency graph and the data dependency relationship; according to a program analysis requirement slicing criterion C = (N, V) of a target program, graph traversal is conducted on the program dependency graph, program slicing features are obtained, N represents instructions in the target program, and V represents a variable set; and inputting the program slice features into a target prediction model for identification, and obtaining a prediction result corresponding to the metamorphic relationship of the target program. By the adoption of the method and device, the metamorphic relation obtaining accuracy can be improved, the situation that the metamorphic relation cannot be obtained is reduced, program testing convenience can be improved, and software quality is improved.

This invention provides a method, apparatus, electronic device, and storage medium for converting control programs. The method includes: storing instructions from a non-standard control program in a first global instruction list in line-by-line order; storing variables and their data types in a variable mapping table; inserting and deleting ladder identifiers in the first global instruction list according to the positions of the first operator and the serial block operator of the parallel loop to obtain a second global instruction list; inserting omitted instructions in the second global instruction list according to the operators of each instruction in the second global instruction list to obtain a third global instruction list; and determining a standard control program based on the third global instruction list and the variable mapping table. This invention enables the conversion of non-standard control programs into standard control programs.

This application discloses a method, apparatus, terminal device, and storage medium for generating instruction expressions, belonging to the field of natural language processing. The method comprises: acquiring unstructured text; extracting semantic features of the unstructured text using a large language model; mapping the unstructured text into a first instruction expression conforming to preset grammatical rules based on the semantic features; running the first instruction expression using a preset instruction execution engine to obtain a first feedback result characterizing the semantic mapping accuracy of the first instruction expression; feeding the first feedback result back to the large language model to drive the large language model to perform semantic alignment correction on the first instruction expression based on the first feedback result, obtaining a second instruction expression; iteratively updating the second instruction expression using a preset algorithm until a preset termination condition is met, obtaining and outputting the target instruction expression. This application can solve the problem of low accuracy in instruction expression generation.

The invention relates to the technical field of tunnel lining protection, and discloses a tunnel lining crack active control method and system based on SHCC. The method comprises the following steps: continuously acquiring lining surface crack dynamic image data through a sensing array deployed in a tunnel; inputting the data into a crack semantic analysis module, calling a crack history archive and a tunnel structure database by the crack semantic analysis module for joint reasoning, and outputting a crack regulation and control target vector; constructing a geometric topology network with lining segments as vertexes and mechanical dependency relationships between the segments as edges, mapping regulation and control target vectors to the network, calculating influence scores of the vertexes through a similarity diffusion algorithm, and screening a key regulation and control vertex set; a candidate regulation and control instruction list is generated according to the set operation multi-index decision model, instructions are executed to complete SHCC material high-precision injection, active control over tunnel lining cracks is achieved, and the regulation and control requirements of crack dynamic changes in the tunnel operation process are met.

The invention relates to the technical field of network security, and particularly discloses a format perception fuzzy testing method and system based on taint analysis, and the method comprises the steps: inputting an input sample and a seed queue into a target program for testing, and carrying out the taint analysis of an instruction level on the target program to obtain a taint instruction list; based on the taint instruction list, dividing an input sample into regions according to bytes, identifying region types and dependency relationships according to a relationship between an instruction control flow and a data flow, and constructing a file format tree and a dependency relationship table; the nodes of the file format tree are varied according to the file format tree, the dependency relationship of the varied nodes is obtained, related fields are adjusted according to the dependency relationship of the varied nodes to generate legal test cases, and the test cases are added into the seed queue.

The invention relates to an instruction extension method and device, a model training method and device and a storage medium. The instruction expansion method comprises the steps that instruction expansion is conducted on an initial instruction, an expanded first instruction is obtained, and the semantic similarity between the first instruction and the initial instruction meets a first similarity requirement; based on the first instruction, a first lexical element is determined, and the first lexical element is a lexical element which is not allowed to appear in the instruction; instruction expansion is conducted on the initial instruction on the basis of the first lexical element, a second instruction is obtained, the second instruction is determined as a target instruction after instruction expansion, and the semantic similarity between the second instruction and the initial instruction meets a second similarity requirement. Through the method provided by the embodiment of the invention, the possibility of single expression of the expanded instruction can be reduced.

This invention relates to a method, system, terminal device, and medium for reconnecting and synchronizing mining equipment after it has gone offline. The method includes: each target device after offline reconnection queries its local database to obtain the version number of the last successfully executed instruction before going offline and issues a synchronization request instruction; the server responds to the synchronization request instruction and determines the offline page instruction list corresponding to each target device during the offline period based on the version number of the last successfully executed instruction and the instruction version number in the circular instruction log buffer; the activity level of each target device is determined based on its activity level, and control instructions are determined based on the number of target devices and the activity level of each target device; the offline page instructions corresponding to the offline page instruction list are transmitted to the corresponding target devices according to the control instructions; the target devices receive the offline page instructions and execute the offline page instructions according to the timestamp to achieve page state synchronization. This invention provides high device synchronization efficiency after offline reconnection.

The invention discloses a scooter safety control structure optimization method and device and a medium, and relates to the technical field of scooters, and the method comprises the steps: carrying out the information classification and feature extraction of the operation state information of a scooter based on a comprehensive state information set, calculating a partition stress value and a stress distribution curve, and carrying out the fusion with the structural feature data, a load-partition stress information set is generated; analyzing the load-partition stress information set, the partition stress value and the stress distribution, generating a dynamic structure parameter optimization instruction list, optimizing structure feature data, and generating a state information set after structure optimization; based on the state information set after the structure optimization, carrying out analogue simulation on the running state of the scooter, collecting simulated running state information, carrying out time synchronization and feature fusion on the simulated running state information and the state information set after the structure optimization, and calculating a comprehensive risk score and a risk change trend; according to the invention, by calculating the comprehensive risk score and the risk change trend, the operation safety and the control accuracy of the scooter are improved.

A management device used in a mounting system including multiple mounting-related devices in which a member is attached to one or more attachment sections, and a moving work device that moves between the multiple mounting-related devices to automatically attach and detach the member to and from the attachment sections, the management device including, when acquiring prohibition information including information on the attachment sections to and from which the member is not attachable and detachable by the moving work device from the mounting-related device, a management control section that creates an instruction list based on the prohibition information, in which an attachment and detachment instruction of the member for the attachment sections other than the attachment sections to and from which the member is not attachable and detachable is registered, and causes the moving work device to execute attachment and detachment processing of the member based on the instruction list.

A control device of an industrial machine is provided which reduces deviation of an actual path of forward travel from an actual path of reverse travel of a drive section. The control device controls movement of a movable section of the industrial machine in accordance with a program. The program contains instructions related to a movement path of the movable section and instructions related to a movement speed of the movable section in units of program blocks. The control device has an instruction path generating section which generates an instruction path of the movement path of the movable section in accordance with the instructions of the program, a forward travel actual path predicting section which predicts a forward travel actual path from the instruction path using a machine model related to transmission characteristics of the industrial machine, a reverse travel instruction path generating section which generates a reverse travel instruction path by reversing the direction of movement of the forward travel actual path, a reverse travel actual path predicting section which predicts a reverse travel actual path from the reverse travel instruction path using the machine model, and an instruction speed adjusting section which adjusts an instruction speed of the movement speed indicated by the instructions of the program in a manner which reduces error of the reverse travel actual path relative to the reverse travel instruction path, and generates a reverse travel instruction speed.

The invention provides a script generation method and device, electronic equipment, a medium and a product. The method comprises the steps of receiving a software type and a script requirement input by a user; obtaining an operation instruction list corresponding to the software type according to the software type; according to the script requirement, screening from the operation instruction list to obtain a first operation instruction required for realizing the script requirement, and screening from a parameter list of each first operation instruction to obtain a first parameter required for realizing the script requirement; and according to the script demand, generating a first script based on the first operation instruction and the first parameter. The method is used for automatically generating the script according to user requirements, and the working efficiency is improved.

The invention provides a method and a system for automatically generating a remote control instruction for a satellite interface data list. The method comprises the following steps: S1, filling various interconnection information in the satellite interface data list; s2, reading the satellite interface data list under the catalog to obtain product element information; s3, key features are extracted from the product element information; s4, compiling a remote control instruction template and verifying the remote control instruction template, if the remote control instruction template passes verification, storing the remote control instruction template in a training set of the machine learning model and continuing to execute the step S5, otherwise, returning to the step S1; and S5, automatically generating a remote control instruction list. According to the invention, a satellite interface data sheet does not need to be manually extracted and recorded, and detailed information including signal content, subsystem name, equipment name, equipment code, electric connector code, electric connector model, destination, contact number, voltage, current, polarity, signal type, line type, remark description and electric connector code can be automatically identified and read by software.

In accordance with some embodiments of the present disclosure, an in-memory processor included in a memory device may be provided. The in-memory processor may include an instruction list circuit configured to store a first instruction including a first register index field; the calculation register array comprises a plurality of calculation registers; a processing management circuit configured to store a register index rule table including a first register index rule corresponding to a value of the first register index field and an address log, and the processing management circuitry is configured to identify a first compute register of the plurality of compute registers based on a first register index rule and the address log; and a computing circuit configured to perform a first computing operation for the first instruction based on the first computing register.

Disclosed in the present invention are a processor micro-architecture, an SoC chip and a low-power-consumption intelligent device. The processor micro-architecture comprises a co-processor and at least two main processors, wherein each main processor is connected to the co-processor by means of a request processing unit; the request processing unit is used for determining, when a usage request that is initiated by the two main processors has been received, a processing sequence for the main processors that initiate the request, and generating and sending a feedback instruction to different main processors according to the processing sequence; and the main processor is used for sending a processing instruction to the co-processor for processing when the feedback instruction represents that usage is allowed. A plurality of main controllers access the same co-processor in a shared manner, thereby satisfying an instruction-level delay, and achieving the optimum balance between performance and power consumption.

The invention relates to the technical field of industrial personal computer data processing, in particular to an industrial personal computer data compression and encryption backup method and system.The method comprises the following steps of obtaining instruction logs in a control period, calculating task sensitivity levels, recognizing high-frequency sensitive tasks, generating an instruction list, extracting data block information, calculating coupling strength and generating a dependency group list; the method comprises the following steps: constructing field numbers and equipment mapping, generating a compression and encryption template, executing splicing and encryption processing, dividing backup levels and implementing scheduling, and generating hierarchical backup configuration information. According to the method, through dynamic analysis of the task number, the execution period and the response time in the control instruction log, accurate identification of the high-frequency sensitive task is realized, a strong-dependence data combination is constructed, the equipment control features participate in the key generation process, the environment adaptability of an encryption mechanism is improved, and the encryption efficiency is improved. And reasonable hierarchical scheduling and backup of compressed and encrypted data in frequent mirroring, timing redundancy and periodic cache regions are realized.

This application discloses a conflict detection method, system, and storage medium for planned work scheduling of nuclear power equipment. The conflict detection method includes: acquiring configuration files pre-established for each master device, the configuration files including availability dependency information and redundancy information. The availability dependency information includes: the identifiers of upstream devices on which the availability of the master device depends, and the dependency logic relationship between the availability of the master device and the upstream devices. The upstream devices include at least one other master device and / or at least one end device; acquiring an isolation instruction table from the SAP system; determining the status of each master device according to the isolation instruction table and the availability dependency information corresponding to each master device; and identifying master devices that do not meet the corresponding redundancy requirements according to the status of each master device and the redundancy information corresponding to each master device. Implementing the technical solution of this application improves the efficiency of conflict detection in planned work scheduling and reduces the probability of human error.

The application discloses a control method of an air conditioner, the air conditioner, a computer readable storage medium and a quick connector assembly. The air conditioner comprises a first pipeline, a second pipeline, a first quick connector arranged on the first pipeline and a second quick connector arranged on the second pipeline. The first quick connector is detachably connected with the second quick connector. At least one of the first quick connector and the second quick connector is provided with a solenoid valve. The method comprises the following steps: obtaining a control instruction of the air conditioner; the control instruction represents a target state required by the air conditioner, and the target state comprises that the first pipeline is in communication or blockage with the second pipeline; and according to the control instruction, the solenoid valve is controlled to be opened or closed, so that the air conditioner reaches the target state. The application aims to improve the installation effect and dismounting effect of the quick connection air conditioner, thereby improving the user experience.

The invention discloses an AUTBUS-based motion control synchronization system and method, electronic equipment and a storage medium, and belongs to the technical field of industrial control. The system comprises a robot control system which is used for establishing a global unified time reference with an AUTBUS master station, generating a motion track of target equipment, converting a relative timestamp of a motion instruction point in the motion track into an absolute timestamp based on the global unified time reference, generating an instruction table with the absolute timestamp and sending the instruction table to the AUTBUS master station; the AUTBUS master station is used for establishing a global unified time reference with the AUTBUS slave station and sending the data frame packaged with the instruction list to the AUTBUS slave station in advance; and the AUTBUS slave station comprises a hardware comparison unit and is used for executing the instruction when the absolute timestamp arrives. According to the embodiment of the invention, a hardware-assisted accurate triggering architecture based on a global unified time reference is constructed, accurate synchronization of the robot control system, the AUTBUS master station and the AUTBUS slave station can be realized, and the accuracy and stability of motion control are improved.

The robot action generation method for the fine task comprises the steps that a VLA model receives multi-modal data and extracts global visual features and text feature vectors; performing semantic layer alignment and instruction remodeling to obtain an aligned instruction representation; based on instruction representation output by semantic alignment, analyzing action semantics and generating an accurate six-degree-of-freedom guide pose; performing hierarchical fusion on the global visual features, the instruction characterization and the 6-degree-of-freedom guide poses to generate a smooth future joint action sequence of the robot; and the robot controller drives the actuator to output the action sequence according to the future joint action sequence of the robot. According to the method, by establishing an end-to-end process from multi-modal input to action execution, deterministic alignment of human intention and robot operation is achieved. The core of the method is that a complex operation task is decomposed into a step sequence with clear logic, all steps are linked with one another, and the accuracy of instruction understanding and the accuracy of action generation are ensured.

The present disclosure provides an instruction matching method and apparatus, a wearable device, and a storage medium, which belong to the field of instruction matching technology. The method includes: determining an instruction list based on a function type and an interactive action type. Determining a function priority sequence corresponding to a function type and an action priority sequence corresponding to an interactive action type based on historical usage data. Determining the functional similarity of multiple functions in a function priority sequence based on the function type, and determining a function-action matching relationship based on the function priority sequence, the action priority sequence, and the functional similarity. Determining an instruction matching relationship based on the function-action matching relationship and the instruction list. The instruction matching relationship includes an action-instruction-function matching relationship. The instruction matching method and apparatus, wearable device, and storage medium provided by the present disclosure can solve the problem that the prior art lacks an effective instruction matching method, and improve the user experience.