43 results about "Automated programming" patented technology

A system for automated programming of stimulation devices uses machine learning with multimodal medical imaging data to determine optimal patient-specific parameters. The system stores voxel-level intensity and functional imaging data from patients who previously underwent stimulation therapy. Similarity metrics calculated directly between the raw imaging data are used to cluster patients into phenotypic groups. Known therapeutic outcomes for each patient are linked to the associated stimulation parameters. For a new patient, biomarkers are extracted from their medical imaging data and used to identify phenotypically similar groups. The stimulation parameters with beneficial outcomes in those groups are analyzed to determine target recommended settings or discard suboptimal settings for the new patient. This data-driven approach leverages machine learning on multimodal medical imaging to automate patient-specific programming of stimulation therapy devices for optimal therapeutic benefit without requiring spatial normalization or atlas registration.

A method for automating selection of stimulation parameters for a stimulation device implanted in a patient includes setting, by a user, at least one limit on each of at least one stimulation parameter and performing, automatically using at least one processor, the following actions for each of a plurality of sets of the stimulation parameters constrained by the at least one limit: stimulating the patient, by the stimulation device, using the set of stimulation parameters, sensing one or more effects arising in response to the stimulation, and updating, by the at least one processor, a collection of the effects and sets of stimulation parameters with the one or more effects and the set of stimulation parameters. The method further includes selecting, by the processor, one of the sets of stimulation parameters based on the effects.

The invention provides an automatic testing method, device and platform for equipment load function performance, and relates to the technical field of software testing. According to the invention, through setting the plurality of subprogram packages in the process of testing the load function performance of the equipment, automatic programming is carried out according to the equipment type, the load type and the function type, the modularized combination generation of the test item, the test program and the subprogram is realized, the professional threshold is reduced, and the generation speed of the test program is improved. Furthermore, in combination with the task queue of the test accompanying instrument, path optimization is carried out on the test process, the test sequence of a plurality of test items is optimized, and the waiting time is shortened. Finally, based on the testing process and the testing program, automatic testing is achieved, the problem that the testing efficiency is low in the equipment load function performance testing process is solved, and the testing efficiency of the equipment load function performance testing is improved.

A system for scanning and validating clinical order device configurations is disclosed. A test instance of an infusion device is created based on a request, and an automated programming command is transmitted to the test instance. The automated programming command includes validation information for validating clinical order data, and a programming response is generated by the test instance based on the automated programming command, and provided for storage in a records system. In some implementations, the response includes an image, or reference to the image, of a graphical user interface that would be presented by the infusion device configured according to the validation information.

The invention relates to the technical field of automatic programming, in particular to a front-end and back-end code generation and deployment system based on a text AI model, and the system comprises a demand analysis module, a code generation module, an environment adaptation module, a task scheduling module and a process optimization module. According to the method, through the intelligent task scheduling and environment adaptation strategy, the efficiency and accuracy of front and rear end code deployment are remarkably improved, the task execution path and time interval are optimized, the resource utilization rate of the system is increased, the priority and execution area of task deployment are accurately matched, redundant calculation and resource waste are reduced, and the task deployment efficiency is improved. The execution efficiency of distributed tasks is accelerated, an intelligent adaptive script identifies and adjusts environment differences in real time, the problems caused by environment configuration differences are solved, the code deployment automation and precision are improved, resource allocation and task scheduling path selection are optimized, the system can quickly meet the complex deployment requirement, and the deployment efficiency is improved. And efficient completion and quick response of tasks are ensured.

The invention discloses an automatic programming method of a valve, which comprises the following steps of: calling a serial port opening function to open a serial port of a programmer, and sending a control instruction to control a programming chip of a valve to enter a programming mode; the programming chip is initialized, whether the programming chip is abnormal or not is automatically detected, if the abnormity is detected, programming is terminated, and if the abnormity is not detected, subsequent programming steps continue to be executed; controlling a programmer to automatically read an angle value of a mechanical stop point of the valve, configuring performance parameters of the valve, and storing and solidifying the angle value and the performance parameters into a programming chip to finish programming; and the control chip quits the programming mode and calls a serial port closing function to close the serial port of the programmer. The invention provides a scheme for automatically programming the chip of the valve through the upper computer and the programmer by utilizing a secondarily developed packaging function and combining the LABVI EW upper computer for calling, so that the efficiency, the precision and the reliability of magnetic induction chip programming are remarkably improved.

A system for scanning and validating clinical order device configurations is disclosed. A test instance of an infusion device is created based on a request and an auto-program command is communicated to the test instance. The auto-program command includes validation information for validating clinical order data, and a program response is generated by the test instance based on the auto-program command, and the program response is provided for storage in a records system. In some embodiments, the response includes an image of or reference to an image of a graphical user interface that would be presented by an infusion device configured according to the validation information.

An infusion device includes a fluid pump and a processor. The processor is configured to receive an automatic programming request (APR) from a device manager, wherein the APR includes an indicated medical advice type. The processor is further configured to determine an implicit doctor's advice type for the APR based in part on whether the fluid pump is active. Further, the processor is configured to determine whether the indicated order type is compatible with an implicit order type. If it is indicated that the doctor's advice type is compatible with the implicit doctor's advice type, the processor sends an acknowledgement message to the device manager and programs the fluid pump according to the operating parameters. However, if it is indicated that the order type is not compatible with the implicit order type, the processor sends a non-acknowledgement message and an error message to the device manager and denies commands to automatically program the fluid pump according to the operating parameters.

A system and method for validating clinical device configurations is disclosed. A test instance of an infusion device is created based on a request, and an automated programming command is transmitted to the test instance. The automated programming command includes validation information for validating clinical order data, and a programming response is generated by the test instance based on the automated programming command, and provided for storage in a records system. In some implementations, the response includes an image, or reference to the image, of a graphical user interface that would be presented by the infusion device configured according to the validation information.

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 provides an automatic burning system and method for serial existence detection information, and the system comprises a port scanning module which is used for automatically detecting available serial communication ports on a host, and determining a serial communication port to be burnt from the available serial communication ports; the address identification module is used for automatically identifying and connecting an EEPROM (Electrically Erasable Programmable Read-Only Memory) address of a serial communication port to be burnt; the data reading module is used for reading original serial existence detection data from the EEPROM chip according to the EEPROM address; the data modification module is used for acquiring two-dimensional code information on the memory bank, analyzing and extracting serial existence detection parameters, and updating original serial existence detection data in the EEPROM chip according to the serial existence detection parameters; and the data writing module is used for writing the updated serial existence detection data into the EEPROM chip. Therefore, the burning operation process is simplified, and the burning efficiency and accuracy are improved.

An information expression method for manufacturing features of a model part comprises the steps that redundant parts of a part raw material are removed through methods such as milling, and a to-be-machined blank is obtained; according to the manufacturing and machining requirements, listing the manufacturing characteristics of the model parts needing to be machined, and defining the manufacturing characteristics of the model parts in a binary mode to obtain a manufacturing characteristic database; the manufacturing features of the model part correspond to three primary color component color codes of RGB, the three primary color components of RGB are represented by 8 bits, the R primary color component color code corresponds to type information of the manufacturing features, the G primary color component color code corresponds to precision grade information of the manufacturing features, and the B primary color component color code corresponds to processing information of the manufacturing features; according to the method, the technical problem that a current numerical control automatic programming system cannot completely express geometric information and process constraint information of parts is solved, and the process of digitalization, informatization and intellectualization of numerical control programming is accelerated.

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.

A system for automated programming of stimulation devices uses machine learning with multimodal medical imaging data to determine optimal patient-specific parameters. The system stores voxel-level intensity and functional imaging data from patients who previously underwent stimulation therapy. Similarity metrics calculated directly between the raw imaging data are used to cluster patients into phenotypic groups. Known therapeutic outcomes for each patient are linked to the associated stimulation parameters. For a new patient, biomarkers are extracted from their medical imaging data and used to identify phenotypically similar groups. The stimulation parameters with beneficial outcomes in those groups are analyzed to determine target recommended settings or discard suboptimal settings for the new patient. This data-driven approach leverages machine learning on multimodal medical imaging to automate patient-specific programming of stimulation therapy devices for optimal therapeutic benefit without requiring spatial normalization or atlas registration.

The present application provides an automated programming system and method for serial presence detect information. The system includes: a port scanning module for automatically detecting available serial communication ports on a host and determining the serial communication port to be programmed from the available serial communication ports; an address identification module for automatically identifying and connecting to the EEPROM address of the serial communication port to be programmed; a data reading module for reading original serial presence detect data from an EEPROM chip according to the EEPROM address; a data modification module for obtaining the two-dimensional code information on a memory module, parsing and extracting serial presence detect parameters, and updating the original serial presence detect data in the EEPROM chip according to the serial presence detect parameters; and a data writing module for writing the updated serial presence detect data into the EEPROM chip. Thereby simplifying the programming operation process and improving the programming efficiency and accuracy.

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.

The present invention discloses a transaction processing method and apparatus, relating to the field of automated programming technology. A specific implementation of the method includes: receiving one or more transaction requests, each indicating transaction information for a current transaction; generating one or more transaction tasks corresponding to the one or more transaction requests; executing the one or more transaction tasks based on the transaction information using a task execution thread; and, when the execution of a transaction task fails, triggering an exception handling thread by the task execution thread, causing the failed transaction task to be re-executed after being processed by the exception handling thread. This implementation automatically handles back-end anomalies, enabling self-operation and maintenance of the system, reducing human intervention, and improving the efficiency of system maintenance personnel.

A method for automatically programming a security system including a plurality of access control readers and a plurality of image sensors includes receiving user credential information from a first access control reader. A first door associated with the first access control reader is further associated with a first image sensor. A user is identified based on the user credential information and based on visual content provided by the first image sensor. Upon receiving the user credential information from one or more access control readers of the plurality of access control readers different from the first access control reader, the user is reidentified based on visual content provided by the plurality of the image sensors. The image sensor that provided the visual content used for reidentification of the user is associated with a door associated with the access control reader that provided the user credential information.

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.

Aspects of the present disclosure relate to automatically updating a software application to ensure compliance with an updated data source. Embodiments include providing an embedding of a first version of a data source and an embedding of a second version of the data source to a comparison engine configured to compare the embedding of the first version of the data source and the embedding of the second version of the data source and generate a data source difference summary. Embodiments further include providing an embedding of a software application code module and the data source difference summary to a code update engine trained to generate an updated version of the software application code module based on the embedding of the software application code module and the data source difference summary. Embodiments further include updating code of the software application using the updated version of the software application code module.

The invention relates to an electrical automatic control system which comprises an Internet of Things platform module, a data interaction module, a control logic module, a safety protection module, an automatic programming model module and a program error correction model module. The Internet of Things platform module is used for realizing standardized storage and dynamic updating of the equipment model; the data interaction module realizes two-way communication between the control system and the Internet of Things platform through protocol adaptation and a data analysis engine; the control logic module generates an equipment control strategy through a dynamic configuration engine and a self-adaptive algorithm library; according to the electrical automatic control system, the defects of a traditional electrical automatic control system are effectively overcome through the aspects of improving compatibility and flexibility, reducing cost, introducing an intelligent function, optimizing maintenance management and the like; and a more efficient, flexible and economic solution is provided for modern industrial production.

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.