826 results about "Experimental laboratory" patented technology

The invention discloses a laboratory safety state evaluation method and system based on multi-source data fusion, and relates to the field of laboratory safety management.The method comprises the steps that multi-source sensing data of a laboratory are collected and aligned to a unified time axis, and a laboratory sensing data matrix is constructed; grey correlation analysis is introduced, the risk correlation degree between data of each sensor and a preset risk mode is calculated, and identification of a potential risk mode is achieved; the reliability weight is dynamically determined according to the historical stability, baseline deviation and calibration period of the sensor so as to suppress data distortion caused by aging and drifting; and comprehensively calculating the risk correlation degree, the reliability weight and the risk severity coefficient to form weighted risk energy, and generating laboratory risk field energy through space-time coupling superposition so as to calculate a corresponding laboratory risk state level. Therefore, the dynamic quantification and grading judgment of the overall safety state of the laboratory are realized, and the risk identification capability of the complex laboratory environment is improved.

The invention discloses an off-line virtual laboratory and digital intelligent application iteration method and system based on an intelligent agent. The method comprises the following steps: constructing an off-line virtual laboratory consistent with a site in a non-production environment, and keeping the consistency of data and configuration through a synchronization mechanism; performing automatic scheduling on working condition arrangement, simulation deduction and rule checking by utilizing an intelligent agent; carrying out process deduction by adopting a mode of combining data driving and similar working condition retrieval, and completing index calculation and safety verification; and full-life-cycle management is carried out on the digital intelligent application, and cross-site rapid copying is realized through template packaging. According to the system, low-risk and high-efficiency iterative verification and popularization of digital intelligent application can be realized on the premise of not interfering field production, and the safety and engineering level of industrial intelligence landing are remarkably improved.

The invention discloses a laboratory sample detection management method, system, equipment and medium based on automatic scheduling, and belongs to the technical field of laboratory intelligent scheduling, and the method comprises the following steps: collecting task and equipment data in real time, binding and storing, and quantifying an initial priority by calculating task complexity; the priority is dynamically adjusted by combining the fault severity, queuing duration attenuation and environment temperature and humidity overrun correction, the completion time is predicted based on the historical efficiency of the equipment and the current load, the task is preferentially allocated to the automatic equipment for execution according to the corrected priority score, and the progress is updated in real time. The intelligent scheduling capability, the resource utilization efficiency and the operation stability of laboratory detection tasks are improved, and efficient and reliable technical support is provided for a complex and changeable experiment environment.

The invention relates to a chemical experiment instrument target detection method and device, equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of an obtained image of a chemical laboratory scene, and obtaining a preprocessing result; inputting the preprocessing result into a chemical experiment instrument target detection model based on an improved YOLO network to obtain bounding box coordinates and corresponding instrument category confidence; a chemical experiment instrument target detection model is obtained by improving a neck network of a YOLOv8 network, and a 3Dfusion module and an FPSF module are innovatively introduced into the neck network. According to the method, the technical problem of recognition challenges caused by variable scales, different angles and local shielding of chemical instruments is effectively solved, and accurate perception of complex laboratory scenes is realized.

The invention relates to the technical field of laboratory safety risk assessment, and discloses a laboratory safety risk dynamic assessment method based on machine learning, and the method comprises the steps: S1, collecting the multi-source real-time data of a laboratory environment and equipment; s2, carrying out preprocessing and time sequence synchronization on the multi-source real-time data; s3, extracting time sequence features from the time sequence data based on a sliding time window; s4, inputting the feature vector into a machine learning model with an online learning capability; s5, distributing according to the risk prediction result and the current data; and S6, when the risk level reaches a preset condition, triggering laboratory safety early warning and linkage control. Incremental updating is carried out on the machine learning model by inputting feature vectors in real time, adaptive iteration adjustment is carried out on a to-be-updated parameter set based on prediction error changes of a continuous time window, risk judgment is corrected in time along with environment changes, and the real-time performance, sensitivity and stability of model risk prediction are improved.

The invention discloses a grouting splitting pressure simulation device under high-ground and high-water-pressure conditions, and relates to the technical field of tunnel and underground engineering model tests. A first water permeable unit controlled by the water injection unit and a second water permeable unit controlled by the confining pressure unit are respectively arranged at two ends in the length direction, so that water pressure and stratum confining pressure are independently applied. The integrated grouting unit of the device is used for grouting soil in the box and is provided with a comprehensive detection unit, the comprehensive detection unit monitors various parameters such as grouting pressure, water pressure, confining pressure, flow, soil resistance and wave velocity in real time, and independent loading and accurate dynamic control of the grouting pressure, formation water pressure and formation stress can be achieved; therefore, the grouting process of the deep-buried tunnel under the conditions of different burial depths, high water head differences and complex grout characteristics can be simulated in a laboratory with high precision, and the technical bottleneck that the complex environment of high ground stress and high water pressure coupling is difficult to reproduce in a traditional test method is effectively solved.

The invention relates to the technical field of underground geotechnical engineering and tunnel construction monitoring, in particular to a shield tunneling rock stratum real-time judgment method. The method comprises the steps that according to signals of neutron radiation characteristics released when different lithologic samples are fractured under a shield tunneling stress path simulated in a laboratory, a knowledge base of the neutron radiation characteristics of a rock stratum is constructed; deploying an on-site multi-source data acquisition system, and acquiring data of neutron radiation characteristics and shield tunneling parameters; jointly forming a fusion feature vector according to the data of the neutron radiation features and the shield tunneling parameters; the method has the advantages that signals of neutron radiation characteristics released in the rock fracture process are directly monitored, the signals are fused with shield tunneling parameters in a multi-source mode, a machine learning model is combined, and the lithology classification probability and the rock mass integrity index are obtained. Real-time and accurate discrimination of lithology and integrity of a front rock stratum is realized, physical characteristics of a rock mass are reflected, and a discrimination effect is continuously optimized.

The invention discloses a full-automatic fluid stirring device performance test system and a method thereof, and relates to the technical field of electrical digital data processing, on one hand, by calculating a flow state deviation degree Lpld and combining an amplification prediction model to output an amplification reliability coefficient Fkxs, the dynamic similarity between laboratory test and industrial working conditions is ensured, and amplification distortion is effectively solved; on the other hand, the dynamic change of fluid attributes is simulated, the energy efficiency attenuation rate Nxsl, the mixed dead zone expansion rate Hqkz and other process indexes are quantified, the dynamic matching coefficient Ddps is calculated on the basis, and the limitation of static testing is overcome; finally, according to the method, Fkxs, Ddps and other multi-dimensional dynamic indexes are subjected to weighted fusion, a comprehensive performance prediction index Zhyc is generated through nonlinear mapping, accurate prediction of the real performance of the stirring device in the whole period is achieved, and the accuracy and reliability of equipment type selection are remarkably improved.

The invention discloses a laboratory inspection method based on semantic enhancement and related equipment. The method comprises the following steps: acquiring received first text information; the first text information comprises key event information actively fed back to a system inquiry experimenter in a current inspection process stage and natural voice description information of the experimenter collected in real time; performing forward semantic prediction and backward semantic verification on the first text information to obtain an event representation vector of the laboratory; the event representation vector is used for representing a laboratory event extracted from the first text information; determining event boundaries of the laboratory events and performing multi-level classification and attribute extraction on the laboratory events to obtain processed laboratory events; and performing event sequence continuity verification on the processed laboratory event, and if the verification is passed, generating a laboratory log corresponding to the processed laboratory event. The method can be widely applied to the technical field of natural language processing.

The invention discloses a sample self-relay method for laboratory real-time quality control and an automatic system, and belongs to the technical field of clinical laboratory automatic quality control. According to the method, an independent quality control cycle is established for a plurality of preset key concentrations, and a concentration-bias and concentration-inaccuracy mapping table is established based on historical quality control data. Independent counting is maintained for each target concentration, when the detection number reaches the length L of the current analysis batch, quality control is automatically triggered, two patient samples with the concentrations meeting the requirements are screened from the current detection batch to serve as a self-relay quality control sample pair, and judgment is conducted according to the rule of 1-3 s after returning and re-detection. And meanwhile, querying a mapping table according to the actual concentration of the sample to calculate a sigma value, querying a preset sigma-L mapping table based on the sigma value, and dynamically updating the next analysis batch length of the target concentration. Each cycle operates independently and asynchronously to form a closed loop, so that accurate, automatic and real-time quality control of different concentrations and different frequencies is realized, and the implementation bottleneck of personalized 6 sigma quality control in cost and reliability is overcome.

The invention relates to the technical field of simulation laboratories, and discloses a multifunctional laboratory capable of simulating different marine environments based on ship body carrying, which comprises a ship body capable of simulating different marine environments and manufacturing various controllable flow fields from laminar flow to turbulent flow in an experiment cabin through a controllable flow field generation unit; through the controllable wave generation unit, waves with specified wave heights and periods can be generated in the experiment module; the water body temperature and salinity regulation and control unit is used for quickly and accurately regulating the temperature and salinity of the water body in the experiment module; water bodies with different turbidity and eutrophication levels are simulated through the environmental biological simulation unit; through an outside-in test mode, a sealing door at the bottom of the experiment module is opened, the underwater robot and other equipment are allowed to freely enter and exit, the dynamic response and control algorithm of the underwater robot when entering a complex environment (external real ocean) from a calm environment (in the experiment module) can be tested, and in-situ storage of a sampled sample can be realized.

The invention provides a laboratory data mining method and system based on data association analysis, and the method comprises the steps: fusing the production process parameters of a chemical sample with laboratory analysis data, and constructing a multi-dimensional process state space; based on historical normal data, a dimensionality reduction dynamic manifold representing a standard whole process is constructed in the space by training a generative model. For a real-time sample, production and analysis data of the real-time sample form a whole-process space-time trajectory. Effectiveness evaluation is divided into two steps: 1, evaluating position consistency by calculating a weighted geometric distance between a spatial-temporal trajectory and a dynamic manifold; and secondly, the motion trend of the trajectory on the manifold is evaluated through an energy conservation criterion, and the dynamic consistency is judged. Finally, the effectiveness of real-time laboratory analysis data is finally judged by integrating two consistent evaluation results. The method has the effects of improving the reliability of data mining and accurately evaluating the validity of laboratory analysis data.

According to the indigenous plant adaptability screening test method simulating the environmental stress condition, the transparent incubator is combined with real-time monitoring equipment such as the high-resolution miniature camera array and the optical fiber sensor, complex laboratory equipment is replaced, and the root system observation problem is solved. The environmental stress condition of a target habitat is accurately simulated, the environmental characteristics of drought, depletion, special soil structure and the like of the high and steep slope are accurately restored by adopting layered matrix and dynamic stress intervention, a systematic evaluation system is established by combining multi-index quantification and a similar analytic hierarchy process, the subjectivity of artificial experience judgment is avoided, and the evaluation accuracy of the high and steep slope is improved. And the scientificity and engineering applicability of indigenous plant screening are remarkably improved.

The invention discloses a laboratory equipment fault diagnosis and maintenance decision generation system based on a large language model, and relates to the technical field of fault diagnosis. According to the system, a cross-device and multi-data type intelligent maintenance system in an AI For Science black light laboratory scene is constructed, standardized processing and intelligent fusion of multi-modal data are realized, and fault diagnosis, root cause tracing and executable maintenance decision generation are enabled through association of a large language model and knowledge, so that the maintenance efficiency is improved. A self-learning optimization closed loop is formed based on decision feedback and a knowledge vector library, the maintenance operation convenience is improved in combination with man-machine collaborative interaction, manual misjudgment and downtime are reduced, intelligent, standardized and traceable support is provided for full-life-cycle operation and maintenance of black light laboratory equipment, and the maintenance efficiency is improved. The problems that traditional maintenance is slow in response and low in accuracy, fault diagnosis lacks semantic understanding and causal reasoning ability, operation and maintenance knowledge is difficult to accumulate and inherit, and a full-life-cycle maintenance closed loop is lacked are solved.

The present application relates to the technical field of intelligent safety monitoring, in particular to a chemical laboratory risk early warning method and system based on a multi-modal data fusion algorithm, in the present application, the spatial gradients of multi-modal data such as gas concentration and temperature are calculated, and the coupling relationship and time delay among these gradients are analyzed, thereby realizing deep insight into the dynamic changes of the laboratory environment, no longer relying on isolated single-point threshold judgment, but evaluating stability according to the cooperative phase of heat diffusion and wet flow process, this way can effectively identify the potential unstable state caused by the combined action of multiple factors, even if each single parameter has not reached the alarm limit value, the risk can also be captured in advance, at the same time, through the aggregation analysis of adjacent unstable areas in space, the spreading trend and influence range of the risk can be revealed, thereby generating more accurate and forward-looking early warning, significantly reducing false alarms caused by non-dangerous transient fluctuations.

This invention discloses a hepatocyte model with silencing or overexpression of LCMT1 and its construction method, comprising: passage and seeding cells in logarithmic growth phase into well plates; diluting plasmid siRNA1 or siRNA2 or an overexpression plasmid to an appropriate concentration, and then mixing it with transfection reagent dilution to obtain a transfection mixture; washing the cells in each well of the plate and adding another culture medium, then gently dripping the transfection mixture into the well plate, shaking well, and culturing in a cell culture incubator for a period of time; replacing the culture medium with complete culture medium without antibiotics to obtain the constructed hepatocyte model with silencing or overexpression of LCMT1. This invention, by constructing a hepatocyte model with silencing or overexpression of LCMT1 in the liver, allows for validation experiments to be conducted to study the development mechanism of liver fibrosis. It is suitable for widespread application in various laboratories and provides an experimental model basis for research on liver fibrosis and drug trials.

The invention discloses a method for rapidly judging the sensitization effect of an on-site mixed emulsion explosive. The method comprises the following steps: S1, a laboratory calibration stage: simulating an on-site sensitization process to prepare a calibrated explosive sample; the sampling device collects and calibrates explosive samples, the millimeter graduated scale is arranged above the sampling device, and the camera shoots and counts the number of bubbles; detecting the density and the detonation velocity, and establishing an incidence relation of bubble number-density-detonation velocity in the specified millimeter scale and a qualified range; s2, an on-site detection stage: calibrating a millimeter graduated scale, camera equipment and a sampling device which are consistent in specification in a laboratory; the sampling device collects an on-site explosive sample, the graduated scale is arranged above the sampling device, the camera shoots and counts the number of bubbles, and the sensitization quality is judged by comparing with a laboratory calibration association relationship. According to the invention, the problems of long detection period of a traditional laboratory, strong subjectivity of existing field detection and high requirement on professional level of detection personnel can be solved, and real-time, accurate and low-cost detection of field sensitization quality is realized.

The modularly designed household / commercial refrigerator and freezer performance laboratory comprises a plurality of experiment tables, foundations at the experiment tables are located in ground pits, and each experiment table is installed in the foundation through a lifting device; partition plates are arranged on the two sides of the experiment table, a support installed on the ground is arranged on the back of the experiment table, a transverse sliding rail is installed on the upper portion of the support, pulleys or idler wheels are installed at the upper ends of the partition plates and movably installed in the sliding rail, the partition plates are hung on the sliding rail through the pulleys or the idler wheels, and the pulleys or the idler wheels can slide or roll in the sliding rail. The partition plate can be driven to move and rotate. According to the invention, the lifting experiment table is adopted, so that the carrying work when a tested sample is placed is avoided, and the possibility that the sample and the experiment table are scraped and damaged is eliminated while labor is saved. According to the scheme, through the hidden modular design experiment table, the refrigerator / freezer performance test and the door opening and closing test are integrated, and the dismounting and mounting work is greatly simplified when the test types are switched.

The invention discloses a laboratory intelligent material scheduling system and method based on artificial intelligence. The system comprises an AI-driven intelligent prediction and decision-making system, an automatic scheduling and ordering execution system, a solvent recovery optimization system and a data and service support layer. According to the method, inventory prediction, replenishment decision and recovery process parameter optimization are uniformly modeled into a sequential decision problem by adopting an SAC reinforcement learning algorithm, so that the system can perform collaborative optimization and dynamic adjustment based on multi-dimensional state information; through fusion of time sequence analysis, graph database association mining and a multi-objective optimization model, material scheduling meets experimental requirements; by constructing a closed-loop autonomous system of'perception-prediction-decision-execution-optimization 'and a micro-service architecture, the system has continuous online learning and self-evolution capabilities, and finally, the intelligent level, the operation efficiency and the economic and environmental protection benefits of laboratory material management are comprehensively improved.

1. Name of the designed product: main body of parameter measuring instrument. 2. Use of the designed product: the whole and the claimed part of the designed product are used for measuring different physical parameters, such as density, in a laboratory. 3. Design points of the designed product: in shape. 4. Picture or photo showing the design points most: perspective view. 5. Other circumstances needing to be explained: the part shown by the dotted line does not constitute the claimed content of the application.

Nanoparticle Synthesis Laboratory Bench Apparatus

This invention provides a negative pressure isolation live microscope experimental box. The experimental box, through its closed negative pressure design, ensures the biosafety of experiments with pathogens of BSL-2 level and above, meeting the requirements of the safety committee review. At the same time, its innovative box-type integrated window structure eliminates the vibration torque caused by animal movement in traditional suspended windows from a mechanical design perspective, providing unparalleled stability for high-precision imaging. Ultimately, it makes it possible to safely and stably conduct live microscopic studies of highly pathogenic infection models in a conventional laboratory.

The invention relates to the technical field of laboratory control, in particular to a multitask parallel experiment system and method for a laboratory, and the system comprises a task management module which is used for receiving and splitting a plurality of experiment plans submitted by a user, and obtaining a plurality of experiment tasks corresponding to the experiment plans; the task constraint module is used for performing condition constraint on the experiment task according to the constraint rule to obtain a constraint experiment task with a constraint condition; the material detection module is used for acquiring material container resource information of the experiment platform, performing material container resource detection on the constraint experiment task according to the material container resource information, and generating a resource satisfaction signal; and the multi-task scheduling module is used for constructing a multi-thread scheduling strategy based on the thread pool management mechanism and the resource satisfaction signal, and scheduling the execution module to execute a plurality of experiment plans according to the multi-thread scheduling strategy. The utilization rate of experimental resources can be optimized, so that the execution efficiency of experimental tasks and the stability of experimental operation are improved.

The present application relates to the technical field of plant pathology, and particularly relates to a method for artificially inducing large sporulation of Ascochyta aspidii, comprising the following steps: S1, strain activation: inoculating Ascochyta aspidii into PDA culture medium, and culturing under light at 20 DEG C for 7 days; S2, sporulation induction: inoculating the activated Ascochyta aspidii into an optimized sporulation culture medium, culturing under near-ultraviolet light at 20 DEG C for 14 days, and obtaining a large amount of spores, wherein the components of the optimized sporulation culture medium include 200 mL / L V8 juice, 0.3 g / L CaCO3, 1 g / L glucose, 1 g / L potassium nitrate, and 15-20 g / L agar. The present application establishes a rapid, efficient and simple in-vitro sporulation method of Ascochyta aspidii, which can effectively solve the technical problem of difficult sporulation under conventional culture conditions in a laboratory, and provides sufficient experimental materials for in-depth analysis of the pathogenic mechanism.

The utility model discloses an adjustable multilayer test tube rack for a laboratory, which comprises a base, a fixed block arranged at the central position of the base, a sleeve vertically arranged at the center of the fixed block, a telescopic column arranged in the sleeve, a telescopic rod arranged in the telescopic column, a first-stage supporting disc arranged on the telescopic column, a second-stage supporting disc arranged on the telescopic rod, a plurality of fan-shaped grooves arranged on the first-stage supporting disc, and a second-stage supporting disc arranged on the second-stage supporting disc. An annular groove is formed in the first-stage supporting disc, a rotary disc is arranged in the annular groove, and a plurality of sets of round holes with different diameters are evenly formed in the rotary disc in a circumferential shape. The test tube rack has the beneficial effects that the test tube rack adjusting structure is simple and convenient to operate, can adapt to the requirements of test tubes with different calibers, reduces the trouble of replacing the test tubes back and forth, and meanwhile, the multi-layer structure is small in occupied area, so that the influence on the use of an experiment table due to large occupied space is avoided.

The invention discloses an algorithm-based detritus dolomite sedimentary microfacies identification method, and relates to the technical field of rock sedimentary microfacies identification, and the method comprises the following steps: collecting a detritus dolomite sample, and carrying out analysis to obtain the structure and characteristics of the detritus dolomite sample; extracting features in the structure and the characteristics; selecting a machine learning algorithm; using known detritus dolomite sedimentary microfacies data as a training set, and training a machine learning algorithm to obtain a microfacies recognition model; and then the microfacies identification model is applied to actual detritus dolomite sedimentary microfacies identification, the method can obviously reduce the labor force required by detritus dolomite sedimentary microfacies identification, so that the laboratory analysis is time-saving and labor-saving, and when the microfacies identification model is used for identifying detritus dolomite, the identification result is more objective, effective, accurate and reliable; and the microscopic characteristics or microstructure of the rock stratum can also be captured.

LABORATORY CAPSULE FOR GENETIC EDITING DELIVERY

The utility model discloses a grouting experiment platform for simulating a complex surrounding rock environment of a tunnel, which comprises a cubic model box body formed by welding a plurality of independent steel plates, a front / rear side plate of the cubic model box body is provided with regular through holes and is externally connected with a water storage tank, and the water storage tank regulates and controls dynamic water pressure through a bottom water outlet and an external water pressure supply system; a detachable cover plate and a ground stress simulation system are arranged at the top of the model box body, the ground stress simulation system comprises a portal frame, a hydraulic jack and a bearing plate, and stratum stress is reproduced through hydraulic loading and pressure monitoring; the grouting equipment injects grout into the simulation tunnel through the pressure stirring barrel and the grouting guide pipe. The device can accurately simulate a seepage field and a stress field of a complex surrounding rock, and is used for analyzing a grouting liquid diffusion rule in a laboratory, optimizing grouting parameters and reducing site construction risks.

The invention relates to the technical field of laboratory safety management and control, and particularly discloses a laboratory safety comprehensive management and control method based on a multi-modal model, and the method comprises the following steps: S1, obtaining a material list and an operation time sequence table of an experiment, querying hazard parameters of a material in different physical states based on a preset safety database, calculating the hazard intensity value of each experimental operation; s2, collecting laboratory environment data in real time, and generating current spatial state distribution; according to the hazard intensity value, positioning in spatial distribution and calculating a risk value when each operation is executed; s3, pre-defining a strategy function, and determining hazard clearing efficiency required by different risk levels; and according to the risk value, matching a clearing efficiency requirement, solving and outputting an equipment control parameter sequence meeting the requirement, and finally, accurately adjusting the clearing equipment according to the equipment control parameter sequence.

The application relates to a space laboratory operation method and device and a storage medium. The method comprises the following steps: obtaining to-be-executed test information; obtaining a test condition database, wherein the test condition database comprises at least one test condition group and preset to-be-executed test information corresponding to each test condition group; obtaining a test condition group corresponding to the preset to-be-executed test information which is same as the to-be-executed test information; generating control information according to the test condition group, and sending the control information to a temperature and humidity adjusting system, a gas pressure adjusting system and a water inlet system of a space laboratory, so that at least one of the temperature and humidity adjusting system, the gas pressure adjusting system and the water inlet system works according to the control information. The application can automatically operate each device of the space laboratory according to a test to be performed, so that the operation condition is automatically reached.