23 results about "Experiment management" patented technology

An experiment management system for an online visual design system includes a processor and a memory storing instructions that, when executed by the processor, cause said system to implement an experiment creator to receive an experiment specification, an experiment integrator to integrate the experiment into the experiment management system, an experiment manager to manage the experiment during runtime and an experiment configurer for configuring the experiment. The experiment configurer includes a population expander to expand a target population of said experiment while the experiment is still live by replacing a first population definition with a second population definition that is a superset of said first population definition, where the population expander performs expansion through one of a plurality of predefined expansion paths.

A system for controlling experiment execution. The system includes an instrument electronic device and a workflow electronic device. The workflow electronic device includes an electronic processor. The electronic processor is configured to receive a submission request via a web application. The submission request includes an experiment design including an acquisition task. The electronic processor is also configured to receive an acquisition rule including pass criteria and an action to take when acquired data does meet not the pass criteria. The electronic processor is further configured to associate the acquisition rule with the acquisition task generate a request to perform the acquisition task, and send, to the instrument electronic device, the request to acquire data. The electronic processor is also configured to determine whether the acquired data meets the pass criteria and, in response to determining the acquired data does not meet the pass criteria, perform the action.

The invention discloses a biological experiment management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring experimental variable data corresponding to a biological experiment through a sensor; acquiring image data corresponding to the biological experiment through camera equipment; based on the experimental variable data and the image data, determining whether the current synthesis generation experiment is abnormal or not; under the condition that the current biological experiment is not abnormal, predicting a future change trend corresponding to the biological experiment based on the experimental variable data and the image data; determining an adjustment scheme corresponding to the biological experiment based on the future change trend; and adjusting the synthesis generation experiment based on the adjustment scheme.

The invention discloses a chaos experiment control method in a pre-release environment and a related device, the method establishes a control association between an experiment management unit and a target service in the pre-release environment to realize control of a chaos experiment execution state of the target service, the experiment management unit introduces chaos experiment execution logic to the target service, and the chaos experiment execution state of the target service is controlled. Enabling the target service to recognize the traffic request meeting the preset triggering condition and execute the corresponding fault behavior, thereby generating a chaos experiment result; according to the application, the controllability of the experiment process and the security of the pre-release environment business are ensured, and the effective verification of the service stability and robustness in the pre-release environment can be realized under the condition of not influencing the normal business flow.

The invention discloses an intelligent experiment management system and method for a sample injector, and the system comprises a plan analysis module which is configured to load and analyze a digital sampling plan; the sampling plan at least comprises a sample operation sequence and theoretical resource consumption data; the data sensing module comprises one or more sensors and is used for collecting physical state data in the experiment process in real time; the physical state data at least comprises identification information of a sample container, liquid level information of a reagent container and occupation state information of a reaction container; the prediction engine module is in communication connection with the plan analysis module and the data perception module, and the prediction engine module is configured to calculate a real-time experiment progress based on the physical state data and the sampling plan; dynamically predicting a future resource demand state based on theoretical resource consumption data, a real-time experiment progress and a resource consumption rate monitored in real time; and the progress output module is configured to output the real-time experiment progress and the future resource demand state.

The invention relates to the technical field of educational experiment equipment, and discloses an educational intelligent all-in-one machine device integrated with a multidisciplinary simulation experiment system. Comprising a core processing system, an intelligent backboard bus system, at least one standardized hardware resource module, an integrated case and a multidisciplinary experiment management software platform running on the core processing system, the intelligent backboard bus system is connected with the core processing system through a high-speed system bus, and at least one standardized hardware resource module is connected to a standardized module slot provided by the intelligent backboard bus system in a pluggable mode. According to the technical scheme, switching among completely different subject scenes such as electronic circuit experiments, automatic control experiments, biological signal measurement and physical phenomenon simulation can be achieved by replacing different basic resource modules, the equipment utilization rate and the rate of return on investment are extremely high, and multi-subject hardware resource sharing is achieved.

The invention provides a full-scene interactive middle school physics virtual experiment teaching system. The system comprises a core experiment simulation module, the module utilizes a physical engine, a three-dimensional modeling technology, a virtual reality technology and an image and sound processing technology, a physical experiment process can be reproduced truly, a correct result can be provided for correct operation of students, and phenomena conforming to a real experiment can be presented for wrong operation; and a matched experimental data processing module supports acquisition, analysis and result presentation of experimental data. The system also integrates comprehensive teaching management functions of user management, course management, experiment management, teaching condition statistics, authority management and the like. On the basis, students can carry out high-quality experiments in a safe and convenient virtual environment, and understanding of physical theories is deepened through operation by themselves; meanwhile, the dependence of schools on entity laboratories and equipment is effectively reduced, the utilization efficiency of teaching resources and the flexibility of teaching are improved, and a powerful auxiliary tool is provided for physics teaching.

Artifacts, including parameters are data sets, associated with experiment tasks are stored at an experiment management service. A query specifying a particular value of a parameter and a particular data set is received, and an indication of an experiment result associated with the particular data set and the particular parameter value is provided.

The invention provides a test data modeling method and system, and the method comprises the following steps: a structural model building step: building a structural model through a module definition graph; a behavior model establishment step: constructing a behavior model through the activity graph; a demand model building step: building a demand model through the demand graph; and a parameter model building step: building a parameter model through the parameter diagram. The method has good universality and expandability, is suitable for manufacturing enterprises or test-intensive organizations of different scales and types, and has wide application prospects in the fields of enterprise data modeling, digital test management, intelligent manufacturing and the like. Through the test data model constructed by the invention, an enterprise can provide an efficient and visual data sharing platform for employees, the operation efficiency and problem solving ability of the employees are improved, the test data is converted from individual experience to organization assets, experience loss is effectively prevented, and inheritance, innovation and continuous improvement of enterprise tests are promoted.

This invention discloses a remote control system and device for quantum computing experiments, and a quantum experimental system. The user application layer enables interaction with the user; the experiment management layer manages the quantum experiments, including: loading experimental code templates and blocks; instantiating parameter classes and experiment classes from the templates to obtain configured experimental parameters; the experiment implementation layer generates experimental plans based on the experimental parameters; and obtains experimental execution data based on executed instructions and experimental parameters; the experiment abstraction layer provides the basic model and data specifications for the experiments; the quantum operation abstraction layer provides basic quantum experimental operations; the connection management layer establishes a communication connection with the quantum experimental device; and data packet transmission and reception are implemented. This system, through its multi-layered architecture, enables unified management and control of quantum experiments, is applicable to various types of quantum experiments, requires no separate development, can easily generate various types of experimental plans, is easily expandable, and has strong applicability.

A system and method for adaptive management of real-time online experiments using statistical modeling, anomaly detection, and automated parameter adjustment is provided. The system receives experiment data including start time, current progress, historical metrics, user behavior, and configuration parameters. It detects anomalies in the data using machine learning techniques. A projected completion time is computed using statistical models, including Frequentist and Bayesian approaches, by performing analyses such as t-tests, power calculations, and risk-chance evaluations via Monte Carlo simulations. The system applies variance reduction techniques (CUPED) and determines whether adjustment conditions are met based on experiment status, statistical thresholds, or observed deviations. If conditions are met, it dynamically modifies duration, sample size, or confidence thresholds, and generates updated configurations. The system operates in real time and supports API integration and user interface presentation, enabling intelligent control of experiments on software applications with minimal manual oversight.

The invention discloses a full-automatic laboratory sample inspection and identification management system and an inspection and identification method, relates to the technical field of laboratory information management systems, and aims to solve the problems of flow splitting, subjective judgment and low recording efficiency in an existing system. Scheduling and security control are carried out on the sample inspection task; outputting a test configuration scheme through an experiment configuration module; a sample inspection pretreatment operation process matched with the inspection instrument is generated through the pretreatment module; visual sample introduction setting is carried out through a 3D virtual sample introduction system of the on-machine detection module, and a sample introduction sequence file matched with the inspection instrument is generated; and receiving an inspection result output by the inspection instrument through a result analysis module, performing data analysis, and generating an inspection report. The system can realize full-process automatic and intelligent management from task acceptance to report generation, and significantly improves the inspection efficiency, accuracy and data security of a laboratory.

The invention provides an online flow experiment method and system based on dynamic routing and layering rules, and belongs to the technical field of internet software engineering.The method comprises the steps that experiment rules are created through an experiment management platform, and the experiment rules are issued to a dynamic configuration center; obtaining an experiment rule from the dynamic configuration center through a lightweight SDK (Software Development Kit) in a business service; based on a user request and an experiment rule, real-time routing calculation is carried out through the lightweight SDK, and an experiment context is generated; executing service logic according to the experiment context, and reporting corresponding experiment burying point data; and collecting and calculating experiment burying point data in real time, generating experiment indexes, and feeding back the experiment indexes to the experiment management platform. According to the invention, through dynamic routing and layering rules, the flow utilization efficiency is improved, and experiment conflicts are avoided; instant feedback is provided through real-time point burying and streaming computation, the decision-making efficiency is optimized, and the operation and maintenance cost is reduced at the same time.

The invention relates to the technical field of data management, and discloses a space-time omics data management system and method. The system comprises a business management module, a project management module, an experiment management module, a signal analysis management module and a system interaction and notification module. Through information interaction among the modules, efficient integration and integrated management of the whole space-time omics research and related business processes are realized, the management difficulty and cost of each link are reduced, the problems of data inconsistency, business process disjunction and the like are avoided, and the management efficiency is improved. And the scientific research efficiency of the space-time omics experiment and the advancing speed of the space-time omics experiment can be improved.

A system for executing an experiment. The system includes an instrument electronic device, a processing electronic device, and a workflow electronic device. The workflow electronic device includes an electronic processor. The electronic processor is configured to receive a submission request including an experiment design via a web application, based on the experiment design, generate a request to acquire data, and send, to the instrument electronic device, the request to acquire data. The electronic processor is also configured to, in response to the data being acquired and uploaded to a location by the instrument electronic device according to the request to acquire data, based on the experiment design, generate a request to process acquired data and send, to the processing electronic device, the request to process the acquired data. The electronic processor is further configured to provide, for display via the web application, the acquired data, a processed result, or both.

The invention provides a virtual simulation resource and virtual simulation experiment management device which structurally comprises a base, a virtual simulation bin, a manager and an electrically operated gate, the upper end of the base is fixedly connected with the virtual simulation bin, and the manager is embedded in the center of the side edge of the virtual simulation bin; after the manager is further improved, the data storage module is arranged on the back of the control screen, and then the data adapters in the upper area and the lower area are matched to complete electric connection with the virtual simulation bin in a penetrating and inserting mode, so that the original multi-line connection process is replaced; and after the data storage module, the control screen and the virtual simulation bin are combined into a whole, the original large-area space occupation condition can be reduced, so that the use convenience of the management device can be improved, and meanwhile, the data storage module and the control screen can be conveniently separated from the interior of the virtual simulation bin by utilizing the front-back movement of a sliding block; and the effect of disassembling and assembling with the virtual simulation bin in the later period is improved.

Artifacts, including parameters are data sets, associated with experiment tasks are stored at an experiment management service. A query specifying a particular value of a parameter and a particular data set is received, and an indication of an experiment result associated with the particular data set and the particular parameter value is provided.

The application discloses a multi-role collaborative experiment system and method for traffic decision research. The system comprises a subject multi-role interaction client, a central collaborative game server, a double-level intelligent agent evolution and hosting container and an experiment management and monitoring background. The subject multi-role interaction client, the central collaborative game server, the double-level intelligent agent evolution and hosting container and the experiment management and monitoring background are collaboratively operated to build an experiment environment supporting multi-role collaboration. The modular architecture design of the application can not only be used for traditional path selection research, but also be applied to frontiers such as online car-hailing / car-pooling matching decision and congestion charging strategy evaluation. The flexibility makes the application a basic research tool, and the value of the application exceeds a single experiment category, and the application provides a general technical platform and method for cross-research of traffic engineering, experimental psychology and computer science.

The invention provides an intelligent experiment management system and method for a xylitol-tea polyphenol compound formula, and the method comprises the steps: obtaining stability data generated under a processing condition from an optimized mass ratio range, sorting a function attenuation curve corresponding to the stability data through a grouping analysis method, and determining a low-attenuation group as a target ingredient combination set; for the target ingredient combination set, if the sugar control effect is lower than a preset threshold value in storage simulation, adjusting a tea polyphenol concentration boundary, and generating a stable synergistic ingredient subset; obtaining a taste evaluation index from the stable collaborative ingredient subset, calculating a comprehensive efficiency score by integrating the taste evaluation index and the function data, and determining the ratio of the highest score as a final ingredient combination; and according to the final ingredient combination, generating a processing regulation and control parameter set for regulating and controlling an ingredient adding sequence in food processing, and obtaining functional ingredient processing output.

The application provides a kind of experimental procedure time axis arrangement method and system, it is related to experimental procedure management and visual technology field.The method comprises: obtaining the experimental procedure template comprising the start node that cannot be deleted and the sleep step node of user customization, each sleep step node is associated with time interval parameter;Absolute starting date specified by user for experiment instance is received;The time interval parameter of sleep step node is parsed, the experimental procedure template is mapped to calendar time axis, and the date with experimental operation is calculated;It is visualized in the form of time line chart, and different visual style color band rendering is used for the date with / without operation;Label button named with experiment title is generated for each operation date below time line chart, and is connected to corresponding color band by dotted line;Intelligent layout arrangement is carried out according to button name length to avoid overlapping;In response to button click, jump to the experiment execution interface of corresponding date.The application is applied to the field of biochemistry experiment management, can realize the automatic arrangement and intuitive visualization of experimental procedure, greatly improves the efficiency and interactive experience of experiment planning and execution.

The invention relates to an application method and system of a plug-in AB experiment. The method comprises the following steps: initializing an experiment plug-in of an AB experiment management system, wherein the experiment plug-in comprises experiment plan configuration and experiment rule group; each experiment rule group comprises a rule condition, a user tag dictionary and an experiment identifier; the request end triggers a corresponding scene node to initiate an AB experiment request based on the current scene; after receiving the experiment request, the requested end judges whether an executable experiment plan exists in a current scene node or not, and if yes, an experiment rule group corresponding to the current experiment plan is read; constructing a user portrait based on the experiment rule group corresponding to the current experiment plan; and judging whether the user portrait hits rule conditions in the experimental rule groups, distributing a special risk control model to the hit experimental rule groups, and distributing a universal risk control model to the missed experimental rule groups.

The application discloses a full-automatic laboratory sample test identification management system and a test identification method, relates to the technical field of laboratory information management systems, and aims at the problems of fragmented process, subjective judgment and low-efficiency record in the existing system.The sample test task is generated through an experiment management module, and the sample test task is dispatched and controlled safely; a test configuration scheme is output through an experiment configuration module; a sample test pretreatment operation process matched with a test instrument is generated through a pretreatment module; visual sample feeding setting is performed through a 3D virtual sample feeding system of a machine detection module, and a sample feeding sequence file matched with the test instrument is generated; a test result output by the test instrument is received through a result analysis module, data analysis is performed, and a test report is generated.The system can realize full-process automation and intelligent management from task acceptance to report generation, and significantly improves the test efficiency, accuracy and data security of the laboratory.

The application discloses a tool system for deep learning model training, and belongs to the field of artificial intelligence, which comprises a core component layer, a configuration system layer, an experiment management layer and a command interaction layer; the core component layer is used for realizing low coupling degree and reusability of codes; the configuration system layer is used for setting configurable items and archiving all configurable items corresponding to experiments; the experiment management layer is used for organizing all deep learning model training experiments in a certain hierarchical structure and storing experiment information; the command interaction layer is composed of a limited number of sub-commands and is used for providing an efficient interaction mode for users to perform experiment management and start experiments; the application can efficiently manage a large amount of codes, configurable items and generated experiments, provide various start templates, and achieve a good balance between convenience and flexibility; the application has strong universality and expandability, and can quickly and intuitively set configurable items; and the application can migrate existing codes at low cost and save time and effort for managing a large number of experiments.