18 results about "Automated programming" patented technology

A debugging system for software and hardware integration and a debugging method thereof belong to the technical field of Internet of Things, are used for solving the problems of long integration construction period and repeated debugging caused by software and hardware integration linear development, are arranged in parallel between hardware debugging and software online, and comprise an SCADA module and a PLC module, data interaction can be carried out between the two modules; the SCADA module receives the production data from the PLC module and transmits the received production data to a production management and control system to be debugged; the PLC module simulates the operation process of a production operation node through automatic programming and outputs corresponding production data for the SCADA module to collect, and simulation debugging of hardware and software needing to be integrated is achieved through data interaction of the two modules. The method is used for debugging and verifying the matching and coordination operation between the integrated software and hardware, the synchronous development of hardware debugging and hardware and software integrated debugging is realized, and the debugging period of intelligent factory construction is greatly shortened.

The invention discloses an intelligent agent life cycle management method and system based on an eight-stage closed loop. The method comprises the following steps: determining eight life cycles, which are connected in sequence, of an intelligent agent; implementing a Prompt stage, and receiving and analyzing a target function demand; in the implementation Code stage, automatic programming is carried out, and implementation codes meeting the target function requirements are created; implementing the Build stage, and integrating the codes generated in the Code stage into a target agent capable of running; implementing a Test stage, and performing automatic simulation and evaluation of non-determinacy behaviors on the target agent; in the Release implementation stage, a target agent is released, and check before deployment is executed; implementing a Deploy stage, and deploying the target agent to a target operation environment; implementing an Operate stage, and continuously detecting the running state of the target intelligent agent; according to the method, a Retrain stage is implemented, a large language model on which a target agent depends is optimized on the basis of operation data collected in an Opate stage, the improved large language model acts on a Prompt stage, and a new round of development and optimization circulation is driven.

In some embodiments, the disclosure provides an exemplary method that may include accessing a set of data records; receiving an instruction for executing the action; determining input data associated with the instruction; verifying the input data; identifying a behavior pattern associated with each type of data; converting the verified input data of the particular data type into a unified secure data state; dynamically enabling a communication session between the at least two security modules; orchestrating a delay within the communication session; and automatically programming the plurality of controls to modify the communication session.

The invention discloses an automatic programming system and tool based on artificial intelligence in the field of computer numerical control machining, and the system comprises a machining demand analysis module, a process planning AI module, an intelligent G code generation module, a machining process simulation module, a self-adaptive optimization module and a knowledge base management module. And the processing demand analysis module receives the part 3D model and the processing demand description, and extracts geometric features, precision requirements and material characteristics. Through deep fusion of an artificial intelligence technology and CNC programming, a full-automatic and intelligent programming process from a part model to a G code is realized. The system has remarkable advantages in the aspects of process planning, path optimization, parameter adjustment and the like, the programming efficiency and the processing quality are greatly improved, and the dependence on artificial experience is reduced. Practical cases prove that the programming efficiency can be improved by 85% or above, the machining efficiency can be improved by about 20%, the machining quality and stability are remarkably improved, and the method has wide application prospects and market value.

In some embodiments, the present disclosure provides an exemplary method that may include steps of accessing a set of data records; receiving an instruction to perform an action; determining input data associated with the instruction; verifying the input data; identifying a pattern of behavior associated with each type of data; converting verified input data of a particular data type into a uniform secure data state; dynamically enabling a communication session between at least two security modules; orchestrating a delay within the communication session; and automatically programming a plurality of controls to modify the communication session.

A method of automatically programming a new load control device that replaces an old load control device takes advantage of a remote identification tag (e.g., an RFID tag) located in the vicinity of the old device. The remote identification tag stores an identifier that is representative of a location in which the old device is installed. The method includes the steps of: (1) storing a setting of an old device in a memory of a controller; (2) associating the setting with the identifier of the old device in the memory of the controller; (3) the new device retrieving the identifier from the remote identification tag after the new device is installed in the location of the old device; (4) the new device transmitting the identifier to the controller; and (5) the controller transmitting the setting of the old device to the new device in response to receiving the identifier.

The invention discloses an online burning system of an SPI FlashRom of an SOC chip system, and belongs to the technical field of SOC chip design, the system comprises an SPI controller IO control module, a physical connection module and a burner module; an IO control module of the SPI controller realizes state switching and latching of IO ports linked with reset signals, and signal driving of a chip to the SPI FlashRom is cut off during burning; the physical connection module builds mutually isolated native communication and burning links through double-path wiring, and realizes disassembly-free physical butt joint after SPI FlashRom welding; the burner module directly generates an SPI native burning protocol and signal, and bypasses a chip SPI controller to complete high-speed automatic burning. According to the method, high-speed online burning of the SPI FlashRom is achieved, non-invasive control is achieved, the original hardware architecture and working logic of the SOC chip are not changed, burning operation is convenient and fast, hardware safety is high, the method is suitable for laboratory debugging and production line batch burning scenes, burning efficiency is greatly improved, and operation cost is reduced.

The present invention relates to a stamp (1) pertaining to the technical field of printing devices for recording times / dates, said stamp (1) being composed of: a printing device (2) comprising wheels (3) engraved with digits (4) to be printed; an automatic programming device (20) which, when the stamp (1) is activated by the user, automatically programs the printing device (2) in real time with the current time at which the stamp (1) is used; and a prismatic housing (50), formed by a movable upper housing portion (51) that houses the printing device (2) and the automatic programming device (20), and by a fixed tubular lower housing portion (52) into which the upper housing portion (51) is telescopically received and which is placed on the document (101) to be stamped. Said stamp (1) further comprises an articulated ink pad (70), arranged inside the fixed tubular lower housing portion (52), beneath the wheels (3); and a button-actuated locking device (80), which locks the upper housing portion (51) in the position in which it is inserted into the lower housing portion (52).

This invention discloses a benchmark testing method and apparatus for the basic environment of software and hardware products, relating to the field of automated programming. The method includes: creating a test plan for benchmarking the basic environment; selecting one or more test machines from a resource pool to execute the test plan; selecting test cases to be executed on each test machine from a test case set according to the test plan; controlling each test machine to execute the corresponding test cases and obtaining the test results of each test machine; and generating a test analysis report based on the test results of each test machine. This invention not only enables the sharing of test resources among different test projects and testers but also significantly improves the testing efficiency of the basic environment of software and hardware products.

There is a need for more effective and efficient threshold-based predictive data analysis. This need can be addressed by, for example, solutions for performing predictive threshold optimization using probabilistic automated programming. In one example, a method includes determining an initial historical distribution for a measure based on historical measurement data associated with the measure; determining a calibrated historical distribution for the measure based on the initial historical distribution; determining projected distributions for the measure based on a projected trend for the predictive distribution, wherein the projected trend is determined based on the calibrated historical distribution; determining a projected cut point threshold predictions for the measure based on a predefined number of projected sampled simulations, wherein the predefined number of projected sampled simulations are determined based on the projected distributions; and performing one or more prediction-based actions based on the projected cut point threshold projections.

This application discloses a backend computer program generation method and apparatus, relating to the field of automated programming technology. The method includes: generating interface constraints for user natural language code requirements and loading the corresponding project context to construct corresponding enhanced prompts, driving a large model to generate initial code; performing automated quality checks on the initial code; if the initial code fails the automated quality check, feeding the quality check results back to the large model for iterative correction until final code meeting the quality check requirements is generated. This solves the technical problems in related technologies where the interface definition of code generated by the large language model is poorly standardized, lacks data verification mechanisms, and has low security and efficiency in database interaction, making it impossible to effectively handle exceptions and greatly affecting code quality and reusability. This method achieves the technical effect of ensuring that the generated code meets enterprise-level quality standards in terms of database interaction, data verification, code reuse, code detection, and exception handling.

An infusion device includes a fluid pump and a processor. The processor is configured to receive an automated programming request (APR) from a device manager, where the APR includes an indicated order type. The processor is also configured to determine an implied order type for the APR based in part on whether the fluid pump is active. Additionally, the processor is configured to determine whether the indicated order type is compatible with the implied order type. If the indicated order type is compatible with the implied order type, the processor sends an acknowledgment message to the device manager and programs the fluid pump according to the operating parameters. However, if the indicated order type is incompatible with the implied order type, the processor sends a non-acknowledgment message and an error message to the device manager and rejects the command to automatically program the fluid pump according to the operating parameters.

The invention provides a programming method and device of a modular hardware system, equipment, a medium and a product, and relates to the technical field of computers, and the programming method of the modular hardware system comprises the following steps: obtaining assembly information and function demand information of each module in the modular hardware system; adopting a large language model to generate a preliminary program code based on the assembly information and the function demand information; and obtaining a target program code based on the preliminary program code, and sending the target program code to the modular hardware system. According to the invention, automatic programming for the modular hardware system can be realized.

An eight-stage closed-loop-based agent life cycle management method and system. The method comprises: determining eight sequentially connected life cycles of an agent; implementing a Prompt stage to receive and analyze target functional requirements; implementing a Code stage to perform automated programming and create implementation code that meets the target functional requirements; implementing a Build stage to integrate the code generated in the Code stage into a target agent that can run; implementing a Test stage to perform automated simulation and evaluation of the target agent's non-deterministic behavior; implementing a Release stage to release the target agent and perform pre-deployment checks; implementing a Deploy stage to deploy the target agent to a target running environment; implementing an Operate stage to continuously detect the running state of the target agent; and implementing a Retrain stage to optimize the large language model relied on by the target agent based on the running data collected in the Operate stage, and apply the improved large language model to the Prompt stage to drive a new round of development and optimization cycle.

The present disclosure relates to the technical field of computers, and provides an automated device processing method and apparatus, a device, a medium, and a product. The automated device processing method comprises: acquiring assembling information of an automated device and a target task; using a first AI model to generate a preliminary program code of the automated device on the basis of the assembling information and the target task; and acquiring a target program code on the basis of the preliminary program code, and configuring the target program code for the automated device. According to the present disclosure, automated programming can be implemented, and automatic adjustment can be implemented when needed.

As generative AI and automated programming that does not require human coding become mainstream, code generated by automated program generation functions using similar natural language input will become equivalent code and will be more likely to be imitated by others. The system records the sentences or phrases entered into the automatic program generation function, and when an equivalent sentence or phrase is subsequently entered, it disables program execution for the latter input, thereby preventing the generation of programs generated by the input of the equivalent sentence or phrase.

The invention provides an industrial equipment management and control method and device based on a universal interface, equipment and a medium, and the method comprises the steps: receiving an equipment operation instruction inputted by a user through a human-computer interaction interface, the equipment operation instruction comprising a text instruction and / or a voice instruction; determining a task type according to the equipment operation instruction; if the task type is an automatic programming task, obtaining a production task requirement according to the equipment operation instruction; in combination with production operation data and equipment state data which are collected in real time, converting production task requirements through a cloud large model, and generating a parameter configuration file containing equipment executable codes; and if the task type is a report generation task, integrating production operation data and equipment state data which are acquired in real time through a cloud large model, and generating a production report corresponding to the equipment operation instruction. According to the method, the programming period can be shortened, the intelligent level of equipment manufacturing is improved, and powerful support can be provided for production management and decision making.

The invention discloses a power consumption constraint Internet of Things program automatic generation method and system based on a large language model. The method comprises the following steps: automatically analyzing key parameters such as battery capacity and target life from a natural language demand, and determining an energy budget; using a special knowledge base containing a hardware power consumption file and a low-power-consumption design mode to guide a large language model to generate an initial code deeply fused with energy-saving strategies such as deep sleep and batch transmission; and performing energy efficiency verification on the code through static power consumption estimation, and if the budget is not met, automatically generating a targeted optimization prompt and iteratively reconstructing the code until deployable firmware conforming to the energy budget is generated. According to the method, a power consumption knowledge base and a closed-loop feedback optimization mechanism are introduced into an automatic programming framework driven by a large language model, the semantic gap problem between natural language requirements and underlying hardware power consumption characteristics is solved, the energy consumption reliability of generated codes is effectively guaranteed, and the development threshold and period of low-power-consumption Internet of Things application are remarkably reduced.