7results about How to "Eliminate omissions" patented technology

The invention discloses an operation and maintenance operation script generation and execution method and device and a storage medium. The method comprises the steps of forming structured operation intention information based on a received voice operation and maintenance instruction, retrieving an operation and maintenance knowledge graph, generating an executable operation script in combination with a deep learning model, applying for the lowest operation authority required for executing the executable operation script, and executing the executable operation script according to the lowest operation authority. And performing pre-execution verification on the identified high-risk operation step in a sandbox environment, and running an executable operation script based on the lowest operation authority and the pre-execution verification. By forming structured operation intention information, manual conversion errors are solved; further, an executable operation script is dynamically generated based on the operation and maintenance knowledge graph and a deep learning model, and optimal practice is embedded; security is guaranteed through the lowest operation authority and sandbox environment pre-verification, and real-time decision and fault tolerance are carried out depending on an interface state, so that operation and maintenance operation standardization, experience accumulation, process auditing and human error risk elimination are realized.

The application discloses an event-driven belt conveying system operation and maintenance control method and system, and belongs to the field of industrial automation. The method comprises the following steps: acquiring multi-source heterogeneous original abnormal information and converting the multi-source heterogeneous original abnormal information into standardized structured event objects; generating structured disposal tasks according to the event objects and a preset rule library; selecting a path according to an execution subject identifier, analyzing the tasks into bottom-layer instructions, and issuing the bottom-layer instructions to intelligent equipment or pushing the bottom-layer instructions to a mobile terminal; receiving execution state feedback, creating and tracking electronic work orders, and updating the work order states after receiving a mobile terminal completion signal. The application realizes an end-to-end automation closed loop from abnormal sensing to execution confirmation, shortens emergency response from an hour level to a second level, and solves the problems of islandization, process breakpoints, execution dependence on manual work and lack of a closed loop of an existing system.

The application relates to the field of AR technology and discloses an AR war game operator entity digital synchronization method and system based on bidirectional state checking. The method is as follows: an AR device obtains digital target states of each entity operator from a server and collects first physical states of each entity operator; the first physical states are compared with the digital target states one by one to obtain a difference task queue; a projection device is controlled to project prompt light effects corresponding to the difference types to the hexagonal grid coordinates of the to-be-synchronized operators in the difference task queue; after the prompt light effects are projected, the second physical states of the to-be-synchronized operators are recognized; when the second physical states are consistent with the digital target states, the projection device is controlled to stop projecting the prompt light effects, and a synchronization confirmation signal is sent to the server. The application solves the defect that the existing AR scheme cannot actively perceive the physical states of the entity operators, and eliminates the problem that the states of the digital situation and the physical situation are inconsistent due to the omission or errors of physical operations in mixed deduction.

This invention provides a method, apparatus, electronic device, storage medium, and product for automatically generating pad files, applicable to the field of software design. The solution first extracts pad parameters from a target file, then matches the target pad parameters to be calculated based on the pad type. Subsequently, it automatically calculates the design value of the target pad parameters using the calculation relationship between known pad parameters and target pad parameters. Finally, it generates an operation instruction sequence based on the pad name, pad type, known pad parameters, and the target pad parameters, and converts it into an executable target script file. The pad library file is generated by calling and executing the target script file. This process transforms repetitive parameter input, subjective experience judgment, and error-prone calculations in traditional manual design into data-driven automated computation. Batch execution via scripts eliminates parameter omissions or calculation errors caused by manual operation, ultimately improving design efficiency and accuracy.

The application relates to the technical field of software development, in particular to a development man-hour estimation method and system based on a function dependency graph. The method comprises the following steps: constructing a requirement function dependency graph, wherein a node represents a function module, a directed edge represents a dependency relationship between the function modules, and each directed edge carries a dependency coefficient; in response to a received change application of a development project, determining a node set of a direct change node corresponding to a function module that has changed; performing influence propagation traversal based on topological sorting on the requirement function dependency graph, automatically inferring all indirectly affected nodes according to the dependency coefficient, and combining the directly changed node set and the indirectly affected nodes to form an affected node set; and calculating the differential man-hour of each node in the affected node set. The development man-hour estimation method based on the function dependency graph can automatically, comprehensively and objectively estimate the man-hour in the development process.

The invention relates to the technical field of AR, and discloses an AR weapon operator entity digital synchronization method and system based on bidirectional state verification. The method comprises the following steps that: AR equipment acquires a digital target state of each entity operator from a server, and acquires a first physical state of each entity operator; comparing the first physical state with the digital target state one by one to obtain a difference task queue; controlling a projection device to project a prompt light effect corresponding to the difference type to the hexagonal grid coordinate of the operator to be synchronized in the difference task queue; and after the prompt light effect is projected, identifying a second physical state of the operator to be synchronized, and when the second physical state is consistent with the digital target state, controlling the projection device to stop projecting the prompt light effect and sending a synchronization confirmation signal to the server. According to the method, the defect that an existing AR scheme cannot actively sense the physical state of an entity operator is overcome, and the problem of state inconsistency between the digital situation and the physical situation caused by physical operation omission or errors in hybrid deduction is eliminated.

The invention relates to the technical field of software development, and discloses an AI software generation method and system, and the method comprises the following steps: summarizing business targets, compliance requirements and existing assets, unifying fields and style labels, forming specification and acceptance items, and outputting a problem list for subsequent tracking; carrying out loop detection and elimination according to the initial task graph, and generating a loop-free task graph and a topological sequence; re-calibrating the edge weight on the basis to form a planning sequence and cost reference for scheduling; and constructing a candidate knowledge source list. According to the method, demand semantic normalization, graph governance and topologization, retrieval and context gating, multi-modal product routing and quality, source double-gating and closed-loop learning are organically integrated, so that a verifiable, auditing and reproducible end-to-end generation closed loop from demand to code / text / image is formed; and the consistency, the reliability and the compliance of the generated product are improved.