31 results about "Execution management" patented technology

The invention relates to the technical field of life cycle management, in particular to a catalyst industry chain-oriented full life cycle traceability method and system, and the method comprises the steps: obtaining the state attribute data of the same batch of recovered products, and carrying out the analysis to obtain an efficiency feature vector; inputting the efficiency feature vector into a preset quality evaluation model for matching, and identifying quality deviation data of the recycled product; the batch identity codes are analyzed, and resume data of the production full life cycle are obtained; a multi-dimensional data association model is constructed, quality deviation data is taken as a target variable, resume data is taken as an input feature, an influence weight coefficient and an attribution confidence index of each production control variable on the quality deviation are analyzed, and key control elements are screened out; and performing production regulation and control optimization operation based on the key control elements, calculating target parameter offset for correcting quality deviation, dynamically calculating a dynamic tolerance constraint range of a production control variable in combination with an attribution confidence index, and packaging into an execution management and control protocol.

The invention relates to the technical field of power system control, in particular to a source network load storage collaborative management and control method and system. According to the technical scheme, the source network load storage collaborative management and control system comprises a panoramic perception and digital twinning module, a collaborative optimization decision module and a closed-loop control and execution management module; according to the method, a closed-loop self-adaptive correction mechanism based on digital twinning and model prediction control is introduced, the execution effect of an instruction, the actual response of a controlled object and latest ultra-short-term prediction data are fed back to a digital twinning model in real time, the model serves as a system synchronously evolved and continued with a physical power grid, and the real-time performance of the model is improved. The method does not depend on a preset strategy any more, instant response can be made to various disturbances inside and outside, and the effects of coping with uncertainty and maintaining safe and stable operation of the system are remarkably improved.

The invention discloses an intelligent driving cooperative control terminal based on a visual language action model, which comprises an instruction optimization processing unit, an execution management analysis unit and a dynamic adaptive cooperative processing unit, relates to the technical field of intelligent cooperative control, and solves the problem of how to realize strategy dynamic switching based on real-time scene classification. In order to solve the technical problem of improving the self-adaptive capability of the system to complex traffic scenes, according to the invention, through a dynamic self-adaptive cooperative processing unit, coherent actions are disassembled and then conflict analysis is carried out, the grading standards of emergency actions and non-emergency actions are determined, and a pause-recovery mechanism is adopted for the non-emergency actions, so that the self-adaptive capability of the system to the complex traffic scenes is improved. The method comprises the following steps: solving conflicts for emergency actions through parameter adjustment or equivalent security substitution, improving action execution coherence and security, realizing scene fine-grained classification based on a multi-modal fusion model, triggering strategy switching through scene confidence, and starting corresponding strategies for a composite scene after confidence of all sub-scenes reaches the standard.

The invention discloses a project budget execution management and control method and system based on financial big data, and relates to the technical field of financial big data analysis, and the method comprises the steps: collecting project feature data, budget execution records and market dynamic indexes, after normalization processing, inputting into a neural symbol hybrid inference engine, and generating a structured anomaly diagnosis report by using dual-channel parallel processing; and analyzing the structured anomaly diagnosis report into a state vector of a Markov decision process, dynamically generating an action candidate set through a strategy network based on an Actor-Critic framework, evaluating an action value by using a reward function, and generating a decision instruction. According to the method, high precision and interpretability of anomaly diagnosis are realized, the problem of model black box in financial decision making is solved, and misjudgment caused by dependence on correlation is avoided. A diagnosis-decision-verification-optimization closed loop is formed, the scientificity and reliability of budget regulation and control and the self-adaptive capability of the system are improved, and the secondary risk is effectively reduced.

Status monitoring units (12, 13) monitor vehicle statuses related to the execution of an application. An execution management unit (14) selects any one of a first execution pattern, a second execution pattern, and a third execution pattern in accordance within the monitoring results of the status monitoring units, and causes an in-vehicle executing unit (11) and an out-of-vehicle executing unit (21) to execute the application in accordance with the selected execution pattern. With the first execution pattern, functional units are distributed to the in-vehicle execution unit and the out-of-vehicle executing unit, and a normal version of the application is executed. With the second execution pattern, the normal version of the application is executed by the in-vehicle execution unit. With the third execution pattern, a lightweight version of the application is executed by the in-vehicle execution unit.

The invention provides a supervision rule self-compilation and execution management and control platform based on a large model, and relates to the technical field of data processing, the supervision rule self-compilation and execution management and control platform comprises a rule acquisition and modeling unit used for receiving a supervision rule text and carrying out structured labeling on the supervision rule text, a provision analysis unit used for carrying out provision analysis on the supervision rule text, the behavior binding unit is used for associating the compliance control requirement with a controllable trigger point in a service system to form an execution trigger definition, the instruction set generation unit is used for generating a compliance instruction set based on the compliance control requirement and the execution trigger definition, and the verification and release unit is used for performing consistency verification on the compliance instruction set and releasing the verification result. The runtime execution and recording unit is used for generating compliance record information corresponding to the business request after strategy workpiece deployment is executed, generating the compliance record information in a tamper-proof mode, and forming a machine verifiable evidence chain.

The application relates to the technical field of intelligent manufacturing, in particular to an electrical manufacturing execution management system based on cloud computing, which comprises a scheduling optimization module, an energy management module, a device health and state monitoring module and a production efficiency improvement module.In the application, the electrical production task progress, the device usage, the process parameters and the energy consumption data are captured to realize accurate scheduling of production resources, and then the operation mode, time and speed of the device are regulated, so that the resource allocation is more flexible, the energy consumption data is analyzed based on cloud computing, the energy use mode and the device load are optimized, effective energy distribution is realized, the energy efficiency is improved, the device fault can be predicted in advance by combining the device health evaluation model, the maintenance cycle is adjusted according to the device state, the production interruption caused by the device shutdown is avoided, the production scheduling is deeply analyzed, then the production sequence and the resource allocation are adjusted, the production efficiency is improved, and the production line reaches a higher level in stability and flexibility.

This invention relates to the field of logistics management technology, and specifically discloses a multi-entity logistics integrated management platform supporting dynamic resource scheduling. The method includes: an acquisition module for acquiring platform basic data, platform transaction data, and transaction link data; a determination module for determining the link type label, order node sequence, set of entities to be matched, and candidate entity set for each entity label in the set of entities to be matched for each transaction order in the platform transaction data; a link module for determining the link transaction data of multiple link transactions; a calculation module for calculating the scheduling value of each candidate matching entity set for each link transaction; and a management module for implementing execution management of all transaction orders in the platform transaction data. This allows for intelligent matching and dynamic optimization of multi-entity resources, improving the link integration efficiency, entity matching accuracy, and resource utilization efficiency of logistics transactions, and strengthening the platform's adaptability to complex logistics scenarios and its full-process control capabilities.

The invention belongs to the technical field of purchase execution management, and discloses a purchase cost intelligent reconciliation method based on a rule engine technology, and the specific technical scheme is as follows: relying on a Drools rule engine technology, business logic decisions in application process data cleaning, data analysis and difference processing of a purchase cost reconciliation model are separated and sorted; logic rules are extracted and decoupled from codes, and account checking requirements are configured in a rule engine by business personnel in a rule form; the reconciliation report of the service system triggers a judgment demand, and meanwhile service data is submitted to call a rule engine in an API mode; the rule engine dynamically loads the corresponding Kie Container, the loaded rule is matched by the rule engine through a Rate algorithm, and an execution instruction is fed back to a service system; and the service system calls function execution according to the account checking processing type of the feedback instruction and performs result display in a specified area of a specified interface, so that automation and intelligence are realized.

The application provides a large model-based regulatory rule self-compilation and execution management and control platform, relates to the technical field of data processing, and comprises a rule collection and modeling unit for receiving regulatory rule texts and structurally marking the regulatory rule texts, a clause analysis unit for clause analysis of the regulatory rule texts, a behavior binding unit for associating compliance control requirements with controllable trigger points in a business system to form execution trigger definitions, an instruction set generation unit for generating compliance instruction sets based on the compliance control requirements and the execution trigger definitions, a checking and publishing unit for consistency checking of the compliance instruction sets, and a runtime execution and recording unit for generating compliance record information corresponding to business requests after deployment of an execution strategy artifact, generating the compliance record information in an unalterable manner, and forming a machine-verifiable evidence chain.

The invention relates to a transaction system operation and maintenance troubleshooting method based on an agent, and the method comprises the following steps: responding to an input operation and maintenance event alarm and / or an operation and maintenance knowledge question, enabling a coordination agent to judge whether the input is related to operation and maintenance, if yes, calling a plan agent, and if not, calling a local large language model to generate reply information for the input; in response to the calling plan agent, generating operation and maintenance fault check plan process information based on a preset system operation and maintenance knowledge base and a preset prompt word, and calling an execution management agent; and in response to calling of the execution management agent, calling a subordinate execution agent to execute the operation and maintenance fault check plan process based on the operation and maintenance fault check plan process information, and outputting an execution result after execution is completed, thereby realizing operation and maintenance fault troubleshooting of the transaction system. Compared with the prior art, the method has the advantages of fault scene self-adaption, cross-scene troubleshooting, low false positive rate and the like.

The present application relates to the technical field of artificial intelligence, and more particularly to a reliable result execution control and arrangement method for online intelligent agents. The reliable result execution control and arrangement method comprises the following steps: performing tool call pre-checking on the calling tool step node according to the preset tool contract, if the checking hits a high-risk rule, generating an approval interruption event and suspending the current task of the execution plan; for the step node that passes the tool call pre-checking and does not need approval; performing multi-dimensional reliability checking on the phased results generated by each step node according to the back transmission execution evidence; if the reliability verification result is passed, the final output result is submitted to the target business system or output to the user in the form of an executable work order. Compared with the prior art, the present application significantly improves the execution stability and result reliability of online intelligent agents in complex tasks, multi-tool collaboration and long process execution scenarios, and meets the stringent requirements of enterprise-level businesses on intelligent agent execution results.

A work machine includes: a work implement including a bucket; a bucket position obtaining unit that obtains a position of the bucket; a distance calculating unit that calculates a distance between the position of the bucket obtained by the bucket position obtaining unit and a design topography of an execution object; and a recording unit that records existing topography data corresponding to the position of the bucket, based on the distance calculated by the distance calculating unit.

This invention discloses an adaptive platform state management method, system, device, and storage medium. The method includes: upon receiving an external request, calling the state switching interface of an arbitration logic class and passing in an event ID; retrieving multiple keywords corresponding to the event ID from a StateTransitionMap, and selecting a target keyword from the multiple keywords based on CurrentStates; determining the state to be migrated based on the target keyword; and calling the execution management component interface to migrate the current state to the state to be migrated. This application uses StateTransitionMap and CurrentStates to determine the keyword, and calls the execution management component interface to migrate the current state to the state to be migrated based on the keyword. This solves the problem of state management components in adaptive platforms needing to handle customized functional cluster states, thereby improving the simplicity of the state management component code.

The application relates to the technical field of manufacturing management, and particularly discloses a manufacturing execution management system based on big data, which comprises an efficiency collection module, an efficiency monitoring module and a device management module. The efficiency collection module sets a recording interval, divides the manufacturing process of a product into a plurality of links, obtains the processing amount of each device in the current link and the previous link in the recording interval, and calculates the processing amount. The efficiency monitoring module obtains the total efficiency of all devices in the current link in the recording interval, fits the current link efficiency curve and the previous link efficiency curve, and obtains a real-time accumulation amount at each end time. The device management module obtains the change rate of the accumulation amount curve, and if the change rate is greater than 0, it indicates that there is an efficiency difference. The device management module obtains the efficiency change curve of each device in the current link, calculates the single-device change rate, compares the single-device change rate of each device in the current link with the change rate of the accumulation amount curve, and selects the device in the current link that needs to be overhauled.

The application discloses a task execution management method and device, equipment and medium, relates to the technical field of computers, and is applied to a task platform, and comprises the following steps: obtaining a creation request of a target task and saving initial task information and initial task step information; the initial task information comprises a task mark and an initial task state, and the initial task step information comprises a step mark and an initial step state of each task step; determining a push address based on a user end that sends the creation request; when the current query condition is met, querying each mark information corresponding to the user end in a target time period, and assembling task content corresponding to the mark information queried from a preset database according to a pre-defined result display model to obtain a task information list; the preset database is used for storing the latest task information and the latest task step information in a task execution process; and the task information list is pushed to the push address by using a target thread, and the push address and the task information list are deleted after the pushing succeeds.

The invention relates to the field of artificial intelligence, in particular to a railway box girder manufacturing and erecting integrated intelligent production scheduling system, which comprises a data acquisition and management subsystem used for acquiring construction data in real time and storing and processing the data; the intelligent production scheduling subsystem is used for generating a production scheduling plan based on the standardized basic data set, the production scheduling plan comprises a beam manufacturing plan and a beam erecting plan, the risk of the plan implementation process is predicted, and the plan is dynamically adjusted; the monitoring management subsystem is used for tracking and managing the construction process in real time and monitoring the production condition; the execution management subsystem is used for compiling an execution plan based on the production scheduling plan and completing task distribution of the execution plan; the interaction subsystem comprises a user interface module and is used for a user to know the production condition and manage production tasks, and intelligent management and optimal configuration of the whole process from beam manufacturing to beam erecting are achieved by integrating advanced data collection, algorithm optimization, real-time adjustment and user interface design.

This invention discloses an intelligent import and execution control system for production scheduling in pipe fitting manufacturing processes. This invention relates to the field of intelligent manufacturing of pipe fittings and digital control technology for industrial production. It includes a production management module, a planning and scheduling module, a production MES module, a hardware SCADA monitoring module, and a quality management module. It also includes a digital twin mapping base for the entire pipe fitting manufacturing process, a multi-dimensional cross-validation and cyclical convergence module, a strongly coupled multi-objective dynamic iterative scheduling module for pipe fitting processes, and a dynamic closed-loop linkage module for execution, quality, and production scheduling. This intelligent import and execution control system for production scheduling in pipe fitting manufacturing processes, through a multi-dimensional cross-validation and cyclical convergence mechanism, achieves the coupling and adaptation of the optimized production schedule with pipe fitting process requirements, equipment capacity, and material supply cycles. It replaces the single basic data verification mode of existing technologies, avoiding the problem of mismatch between production schedules and on-site production capacity from the source.

The embodiment of the invention provides an eSIM card management method and device, equipment and a computer storage medium. The invention belongs to the technical field of Internet. The method comprises the following steps: monitoring instruction information issued to the eSIM card in a preset channel through the system-level plug-in; identifying whether the instruction information is a preset subscription instruction; if yes, intercepting the instruction information; constructing an execution management container for the instruction information, and receiving the instruction information based on the execution management container; and operating a configuration file in the eSIM card based on the instruction information received by the execution management container to obtain an execution result of the instruction information. According to the technical scheme, data can be transmitted on the basis of requirements, meanwhile, a fault protection mechanism can be set as required on the basis of independent container execution, and the purposes of improving the stability and safety of eSIM card code number management and the management flexibility are achieved.

The invention relates to the technical field of Internet of Things smart home control, and discloses a smart home-oriented side cloud collaborative state synchronization and instruction execution management system and method. The edge-cloud cooperation state synchronization and instruction execution management method is applied to edge gateway management equipment, and specifically comprises the following steps: S101, searching all local intelligent household equipment, registering on the searched local intelligent household equipment, establishing security authentication connection with a cloud platform, downloading an initial cooperation strategy, and initializing local management, through protocol conversion, resource evaluation and load pre-configuration, an edge cloud collaborative basic framework is constructed; and S102, adopting a self-adaptive synchronization strategy to monitor the state of the smart home equipment in real time. According to the invention, by constructing a deep collaborative edge-cloud integrated architecture, the performance of the smart home system is remarkably improved, a dynamic equipment registration and security initialization mechanism is obtained, seamless access and communication security of heterogeneous equipment are ensured, and a stable and reliable foundation is laid for the system.

The invention discloses a production execution management method and system based on virtual stations and an optimization algorithm, and relates to the technical field of monitoring analysis, and the system comprises an information collection module which is used for collecting basic information and product information corresponding to each piece of production equipment from a plurality of virtual stations; the processing module is used for analyzing and processing the basic information corresponding to each production device, confirming a device evaluation coefficient corresponding to each production device, analyzing and processing the product information, and further confirming a production priority evaluation coefficient corresponding to each product; the execution module is used for comprehensively analyzing the equipment evaluation coefficient corresponding to each production equipment and the production priority evaluation coefficient corresponding to each product, and then formulating an execution strategy according to a comprehensive analysis result; and the optimization module is used for performing optimization management on production based on the execution strategy. The device has the effect of improving the production efficiency.

The invention provides a task processing method, device and system, electronic equipment and a readable storage medium, and relates to the technical field of Internet of Vehicles. The method comprises the following steps: acquiring an execution demand of a to-be-executed thread task through an execution management module of a vehicle-mounted system, arranging a plurality of thread tasks according to the execution demand, and scheduling different thread tasks according to an arrangement result. According to the method, through task arrangement accurate to the thread level, the life cycle of all threads can be better controlled, resource waste and conflicts are reduced, and the stability and performance of a system are improved. Besides, the thread execution requirement is obtained through the execution management module in the vehicle-mounted system, existing conditions in the vehicle-mounted system can be fully utilized, the communication mode of the vehicle-mounted system can be adapted, and therefore the adaptation difficulty of task scheduling and the vehicle-mounted field can be lowered.

The invention provides a distributed task asynchronous processing system and method, the system comprises a central management module and at least one distributed cluster, each distributed cluster comprises a storage module and at least one task execution unit, and the central management module is in communication connection with each distributed cluster; the central management module is used for determining distributed clusters distributed by the to-be-processed tasks based on the task attributes of the to-be-processed tasks and storing the to-be-processed tasks into the storage modules of the corresponding distributed clusters; and the task execution unit is used for obtaining and executing the to-be-processed task from the corresponding storage module in response to the received asynchronous processing request confirmation information of the to-be-processed task. Task allocation and execution management and life cycle management of tasks to be processed are performed through the central management module, the distributed cluster and the task execution unit, so that the robustness of asynchronous execution of the tasks is ensured, limited system resources are fully scheduled, the resource utilization rate is improved, and a large number of parallel tasks can be efficiently processed.

The invention discloses a debugging control and execution management method based on a UI automatic test platform, and relates to the technical field of software testing, and the method comprises the following steps: providing flexible debugging starting point control capability, realizing strategy selection and scheduling by a front end, and sending an application case to a server executor; the method comprises the following steps: transplanting a UI automatic test platform executor to a local server, locally starting a special controlled browser instance by virtue of Playwright to realize real-time monitoring of case execution, and constructing a breakpoint mechanism based on a producer-consumer model, so that the server executor realizes queue execution control by depending on a front-end strategy; a dynamic breakpoint adding mechanism is provided, and breakpoints are allowed to be inserted when the use cases are executed, so that repeated operation of executed use case segments is avoided; in UI automatic testing, thread management supports checking and modifying of executor thread variables so that page data can be obtained and stored into the variables to be used in subsequent steps, and debugging is convenient. According to the invention, the efficiency of compiling and maintaining the test script by the UI automatic test platform can be improved.

This invention belongs to the field of data management technology and provides a blockchain-enabled contract execution management method and system. The method includes: parsing the contract text, extracting performance elements, and deploying smart contracts to obtain digital basic information; during the execution of the contract based on the digital basic information, acquiring physical evidence information and off-chain system data, and uploading the physical evidence information and off-chain system data to the blockchain after preliminary verification; determining the performance status of the contract based on the physical evidence information and off-chain system data through data verification within the blockchain; triggering corresponding business actions based on the performance status, and uploading the processing record information obtained during the execution process to the blockchain. The solution provided by this invention significantly improves the efficiency, credibility, and intelligence level of contract execution management through the integration of blockchain technology and multi-source data.

The embodiment of the invention belongs to the technical field of natural language processing, and relates to a task execution management method and device, computer equipment and a storage medium. Performing instruction analysis on the natural language instruction to obtain a natural language intention; performing intention decomposition on the natural language intention to obtain a subtask execution plan; obtaining a task execution tool corresponding to the subtask execution plan; and calling a professional agent module corresponding to the task execution tool to execute the subtask execution plan. The method can be used for related task execution management in business systems such as financial science and technology, medical treatment, health and pension and the like, can accurately analyze natural language instructions, decompose complex tasks into executable sub-tasks, and call corresponding professional agent modules to execute the sub-tasks, so that the accuracy and efficiency of task execution are improved.

The invention discloses a resource allocation method and device, equipment and a storage medium, relates to the technical field of resource allocation, is applied to an execution management component, and comprises the following steps: reading a resource configuration file of a target resource, determining a to-be-allocated resource corresponding to a first business process based on the resource configuration file, creating a reserved process corresponding to the first business process, and executing the reserved process; the method comprises the steps of receiving a first service process, binding the first service process with a to-be-allocated resource, obtaining a resource binding request, ending a reserved process bound with the to-be-allocated resource according to the resource binding request, binding the first service process with the corresponding to-be-allocated resource, and starting the first service process based on the bound to-be-allocated resource. The reserved process corresponding to the business process can be created and bound with the to-be-allocated resource, when the resource binding request is obtained, the reserved process is ended, the business process is bound with the resource, and fixed resources required by the specific business process are ensured through interaction of the reserved process, execution management and the business process, so that the resource allocation efficiency is improved. And normal execution of services can be ensured.

To provide a secure component, device, execution platform, and process execution management method, which allow each participant in a system to control behavior of an implemented process.SOLUTION: A secure component is mounted in a device in which an execution platform operates, and comprises an acquisition unit for acquiring execution constraints imposed on a process from the process operating on the execution platform, a verification unit for verifying the acquired execution constraints, and an output unit for outputting a verification result of the execution constraints to the execution platform.SELECTED DRAWING: Figure 1