73 results about "Experiment management" patented technology

The invention discloses an environmental chemistry research automation system and method based on a large language model, and relates to the technical field of environmental chemistry automatic research. The environmental chemistry research automation system based on the large language model comprises a key information extraction module, a structure generation and optimization module, an experiment scheme generation module, an experiment management module and a visual editing module. According to the method, full-automatic workflow from experimental design to data analysis is achieved, the research efficiency and accuracy are remarkably improved, through the method, complex scientific problems can be converted into understandable input of a language model, complex analysis and reasoning processes are completed through the model, and a physical and chemical calculation tool is combined, so that the research efficiency is improved. According to the method and the system, comprehensive simulation and calculation of a research object are realized, the degree of human participation is effectively reduced, subjective deviation caused by human decision is reduced, and scientific research becomes more systematized and accurate.

The invention discloses an adaptive rendering decision-making system and method based on an AI large model, a storage medium and equipment, and the system comprises the steps: a rendering decision-making manager is internally provided with a rendering decision-making library which is used for storing rendering decisions, requesting an experiment rendering decision from an experiment manager according to the type of to-be-rendered equipment, and issuing the rendering decision; an experiment pool is arranged in the experiment manager and is used for storing an experiment rendering decision and scheduling the experiment generator to create an experiment of the to-be-rendered equipment; the rendering configuration generator generates a plurality of experiment rendering decisions according to the created experiment, stores the experiment rendering decisions in an experiment pool, and sequentially issues the experiment rendering decisions to the to-be-rendered equipment for rendering to generate experiment rendering feedback; and the rendering decision scoring device generates experimental rendering decision scores according to the experimental rendering feedback, sorts the experimental rendering decisions according to the sequence of the experimental rendering decision scores from high to low, and stores the first m experimental rendering decisions in a rendering decision library as rendering decisions. According to the method, the rendering decision accuracy is improved, and manual dependence is avoided.

The invention relates to the technical field of teaching experiment management, in particular to a YOLOv11-based experimental desktop article automatic management improvement method, which comprises the following steps of: combining a multi-layer perceptron and a channel attention mechanism, and adding the combined multi-layer perceptron and channel attention mechanism to each C3K2 module in a backbone of YOLOv11 so as to improve the modeling capability of a model on long-distance dependence and local context and maintain the calculation efficiency; according to the adaptive weighted rotation target detection improvement, a dynamic weight distribution mechanism is introduced through a detection head part of YOLOv11, and the contribution of each parameter in a rotation bounding box regression process is optimized; and the self-adaptive feature enhancement module is integrated after an upper sampling layer in the YOLOv11 network, and the overall performance of rotating target detection is improved in combination with multi-scale feature fusion and a direction sensing mechanism. According to the invention, the improved YOLOv11 model is combined with the DeepSORT algorithm to realize automatic identification, real-time counting and tracking of desktop articles, and the face identification module is matched to associate the identities of experimenters, so that the experimental article management efficiency and safety are improved.

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.

The invention belongs to the technical field of crop experiment identification, and discloses a crop stress resistance identification experiment management system, which comprises an experiment management module used for carrying out whole-process management on maintenance contents of hardware required by a crop stress resistance experiment, records of experiment varieties, experiment standards and experiment plan implementation; the system management module is used for undertaking underlying resource configuration and authority management, providing an information retrieval query interface and realizing safe seamless connection and multiple tracking of experimental data; and the information communication module is used for providing technical experience and scientific research achievement communication between users, realizing scientific research cooperation and knowledge sharing, and displaying stress resistance experiment data assessment summarization according to user authority. Through cooperative operation of multiple modules, the efficiency and reliability of crop stress resistance research are remarkably improved; the experiment full-process management function is integrated, intelligent monitoring of the state of hardware equipment, standardized configuration of experiment parameters and dynamic tracking of experiment plans are achieved, and manual operation deviation is effectively avoided.

The present invention provides a method and system for managing fruit tree cold resistance experiments, which relates to the technical field of experimental management. The method includes: generating a digital review model based on the multimodal records of fruit tree cold resistance experiments carried out by an expert group within a preset past time; enabling the expert group to view and operate the digital review model; identifying future experimental assistance requirements generated when the expert group views and operates the digital review model; and interactively providing the corresponding assistance to the expert group that conforms to the future experimental assistance requirements. Generating the digital review model and enabling the expert group to view and operate the digital review model provides a convenient and efficient way for the expert group to review historical experimental situations, improving the efficiency of future experimental planning. In addition, identifying the future experimental assistance requirements generated when the expert group views and operates the digital review model and interactively providing the corresponding assistance to the expert group that conforms to the future experimental assistance requirements provides systematic and intelligent assistance to the expert group, further improving the efficiency of future experimental planning.

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 present application discloses a pathogenic microorganism analysis and identification system and its application. The system of the present application includes a data statistics module, a sample management module, an experiment management module, an information analysis module, a report management module, and a system management module; the information analysis module includes a sample analysis sub-module, which is used to implement data quality control steps, host removal steps, sequence classification steps, calculation of classification credibility index steps, and filtering of non-pathogenic bacteria steps; the credibility is screened according to the number of reads at the species level and genus level, the number of unique Kmers at the species level, the genome size of the corresponding species, the read coverage size, the number of windows containing reads, and the microbial genome reference genome by the number of reads. The present application realizes the automatic analysis of mNGS raw off-machine data through each module, obtains reliable classification results according to the credibility screening scheme, automatically reports the microorganism, and solves the dependence on professional technicians for the analysis of mNGS raw off-machine data.

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 a chemical laboratory safety experiment management system based on big data analysis. The system comprises a data analysis platform, a data monitoring and acquisition module, an experiment safety management module, an alarm prompt module, a control module and a data storage module. The data analysis platform is responsible for cleaning, converting and filing original data; the data monitoring and acquisition module realizes data interaction through a built-in API data interface, and realizes real-time data monitoring through carrying a wireless network; the experiment safety management module is responsible for managing and controlling equipment, chemical experiment products and experimenters in the chemical laboratory; the alarm prompting module supports a multi-level alarm management mechanism; the control module is used for controlling and managing equipment in the laboratory in real time according to the alarm information sent by the alarm prompt module; and the data storage module is responsible for recording operation data among the modules. According to the method, lean management of the experiment safety of the chemical laboratory can be realized, and the safety of the experiment process is ensured.

The present invention provides an online simulation experiment system and method. The system includes: an experiment design subsystem, including an experiment management module for managing simulation experiment projects created by simulation experimenters; an experiment design module for batch-assigning values ​​to each parameter variable in a simulation scenario selected by the simulation experimenter based on simulation experiment requirements, generating multiple experimental samples; and obtaining simulation parameters; an experiment operation control subsystem, including an experiment establishment module for allocating simulation nodes to each experimental sample; for each simulation node, deploying experimental resources according to the corresponding experimental sample; and an experiment operation module for reading simulation parameters after receiving an experiment operation command, running the simulation experiment according to the experimental resources deployed on each simulation node, and obtaining simulation experiment data. The present invention can realize online simulation real-time experiments.

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 provides a control experiment management method and device, equipment and a medium, and the method comprises the steps: creating a control experiment, and determining an experiment period and a management mode of the control experiment, the management mode comprising that the experiment is out of line after expiration; and if it is monitored that the experiment deadline expires and the management mode is that the experiment expires and is not offline, continuing to keep the experiment until an experiment completion instruction is received. By adopting the dynamic period management, on one hand, the flexibility and the stability of experiment management are improved; on the other hand, elastic management of the experiment life cycle is achieved, the problem that the experiment is automatically offline due to the end of the validity period is solved, data inaccuracy and data loss caused by experiment interruption are avoided, experiment continuity and data integrity are ensured, manual intervention is reduced, and experiment management efficiency and reliability are improved.

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.

A website building system (WBS) includes an experiment management system to provide experiment management services to at least two tenancies where a single tenancy conducts at least one experiment independently without interfering with experiments conducted by other tenancies, the experiment management system includes an experiment creator to receive an experiment specification with source material from an external source and to create an experiment definition based on inspection and analysis of the source material; an experiment integrator to integrate the experiment definition as an experiment into the experiment management system; an experiment configurer to configure a variant and population selection criteria for the experiment; and an experiment manager to manage experiment conflicts between concurrently running experiments for the at least two tenancies at runtime according to the variant and population selection.

The present invention belongs to the field of experimental management technology, and specifically relates to an AB experimental indicator management system and method based on user diversion. The method comprises: step 1: using the Flink real-time computing engine to obtain the behavioral data of users performing split tests in two or more variants; for each user, the behavioral intensity, behavioral participation depth, behavioral value and behavioral correlation are counted within a specified time window to form a feature vector; step 2: reducing the dimension of the feature vector to obtain the reduced-dimensional feature vector; using a stratified sampling method based on the reduced-dimensional feature vector to perform experimental grouping, and calculating the grouping probability of each user to construct a full user table of all users; step 3: in the full user table, calculating the atomic indicators and composite indicators of each experimental group. The present invention significantly improves the scientific nature of experimental design, the accuracy of experimental results and the efficiency of experimental management.

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.

The invention relates to a device and a method for realizing a block chain experiment by customizing an instruction set to control single-chip microcomputers, belongs to the technical field of block chain experiment management platforms, and controls the single-chip microcomputers to quickly form a block chain experiment environment through interaction instructions on the block chain experiment management platform and the single-chip microcomputers. According to the invention, a pure intranet is utilized to establish a block chain network, so that the safety and reliability of an experimental environment are ensured; through the block chain test management platform, rapid deployment and rapid reset of an experimental environment are realized, and the experimental environment is simple to build; the block chain experiment management platform realizes multi-thread file pushing, pushes installation packages to different single-chip microcomputers, supports breakpoint resume, and ensures complete file receiving; each single-chip microcomputer is notified through a message queue to ensure that the transmitted message is not lost; the single-chip microcomputer instead of a server is used as a block chain node, so that the cost is low; the single-chip microcomputer is based on an arm architecture, energy consumption is low, deployment is convenient, and chain forming is rapid.

The invention provides an electronic countermeasure simulation experiment management system, and relates to the technical field of simulation experiment teaching. The system comprises a scene setting module used for setting target result data and experiment basic scene data; the first module is used for acquiring radar radiation source data, survey receiver data and moving target data for simulation and outputting first experimental result data; the second module is used for acquiring radar radiation source data, interference data and moving target data for simulation and outputting second experimental result data; the third module is used for acquiring reconnaissance receiver data and satellite load data for simulation and outputting third experimental result data; and the experiment evaluation module is used for comparing the target result data with the first experiment result data, the second experiment result data and the third experiment result data and outputting an electronic countermeasure simulation experiment report. According to the invention, the problems of singleness, high difficulty and low efficiency of the existing electronic countermeasure simulation experiment teaching are solved.

The invention provides a fruit tree cold resistance experiment management method and system, and relates to the technical field of experiment management, and the method comprises the steps: generating a digital review model based on the multi-modal record of a fruit tree cold resistance experiment carried out by an expert group in a past preset time; an expert group can check and operate the digital review model; identifying future experiment auxiliary requirements generated when the expert group checks and operates the digital review model; and interactively performing corresponding assistance conforming to future experiment assistance requirements on the expert group. According to the method, a digital review model is generated, so that an expert group can check and operate the digital review model, a convenient and efficient historical experiment condition review approach is provided for the expert group, and the future experiment planning efficiency is improved; and corresponding assistance conforming to future experiment assistance requirements is interactively carried out on the expert group, systematic and intelligent assistance is provided for the expert group, and the future experiment planning efficiency is further improved.

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 belongs to the technical field of experiment management, and particularly relates to an AB experiment index management system and method based on user distribution. The method comprises the following steps of: 1, acquiring behavior data of a user for performing a split test in two or more variants by using an Flink real-time calculation engine; for each user, the behavior intensity, the behavior participation depth, the behavior value and the behavior correlation of the user are counted in a formulated time window, and a feature vector is formed; step 2, carrying out dimension reduction on the feature vector to obtain a feature vector after dimension reduction; performing experimental grouping by using a stratified sampling method based on the dimensionality-reduced feature vectors, and calculating the grouping probability of each user to construct a total user table of all users; and step 3, in the total user table, calculating an atomic index and a composite index of each experimental group. According to the method, the scientificity of experimental design, the accuracy of experimental results and the high efficiency of experimental management are remarkably improved.

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 present invention relates to the technical field of data management, and specifically provides a method and system for real-time automatic generation of laboratory original record sheets: After the experiment starts, the system captures data from various sensors in real time and checks whether the experimental data is lost during transmission based on the verification information, thereby ensuring the reliability of the experimental data. At the same time, the system generates data identifiers for various types of data. In the record sheet generation stage, the system dynamically fills the real-time collected experimental data into the corresponding fields according to the matching relationship between the data identifiers and the record sheet template fields to form a complete experimental record sheet. During the experiment, the system displays the data changes through the user UI interface and has an abnormal data alarm function, facilitating users to monitor the experimental progress and adjust parameters in a timely manner. After the experiment ends, the system stores the complete original record sheet in the database. The present invention realizes the automation and intelligence of laboratory records, improving the efficiency and reliability of experimental management.

The invention provides an experiment task management method and device. The method comprises the following steps: receiving an experiment delegation application; when the task type of the experiment entrustment application is a scheduled task, generating an experiment entrustment number according to the experiment entrustment application; when the experiment category of the experiment entrustment application is an outsourcing experiment, determining an outsourcing experiment mechanism, and generating an outsourcing experiment order number; feeding back the experiment delegation number and the outsourcing experiment order number to an outsourcing experiment mechanism; receiving experiment completion information corresponding to the experiment delegation application; obtaining a contract number associated with the experiment entrusting application through a cost system; and performing corresponding expense settlement according to the financial reimbursement system and the contract number. Visibly, the method and the device can realize online and offline fusion management of the experiment task, improve the working efficiency of a laboratory, reduce the labor cost, ensure the data accuracy, realize flow, standardization, standardization and visualization of the experiment task process and data full-life-cycle sharing, and are beneficial to reducing the experiment management cost.