388 results about "Laboratory device" patented technology

The invention provides an AI-based laboratory equipment scheduling optimization method and system, and the method comprises the steps: firstly obtaining a state monitoring data set containing the characteristics of equipment operation power consumption, idle time length, environment interference factors and the like in real time, and then carrying out the multi-dimensional analysis of the state monitoring data set; generating an availability evaluation index set containing characteristics of equipment load fluctuation, maintenance period prediction, compatibility matching and the like, and an experiment task priority queue, performing cross decision analysis on the availability evaluation index set and the experiment task priority queue based on a preset dynamic resource allocation model, and obtaining a scheduling strategy set containing a task allocation path, a cooperative operation rule and a conflict resolution mechanism; scheduling strategy parameters are calibrated according to experimental task operation log data, an optimized execution instruction set is generated, instructions are fed back to an equipment control system to adjust the equipment state, a dynamic resource allocation model is iteratively updated according to execution feedback data, and efficient scheduling optimization of laboratory equipment is achieved.

The invention discloses a laboratory automatic process management and multi-source data fusion system based on the Internet of Things, and belongs to the technical field of laboratory management. The system comprises a sensing layer, an analysis layer, an intelligent management layer and an application layer. The sensing layer carries out global data acquisition and real-time analysis; the analysis layer integrates data, mines an association relationship and optimizes task matching; the intelligent management layer performs full-process automatic management and control on a laboratory, and comprises an equipment cooperation module, a dynamic detection module, a dynamic configuration module, a real-time simulation module, a preset trigger module and an intelligent auditing module; and the application layer performs multi-terminal collaborative interaction and intelligent assistant assistance processing. According to the system, intelligent collaboration of laboratory equipment, automatic detection of samples, dynamic optimization of equipment parameters and automatic early warning and processing of abnormal conditions are realized through technical means such as knowledge graph construction, a digital twinborn technology and multi-mode biological recognition, and the laboratory management efficiency and the data processing accuracy are effectively improved.

The invention provides a laboratory equipment access and configuration method and system based on dynamic protocol analysis, and the method comprises the steps: firstly, monitoring a physical connection signal of a port, automatically triggering communication link configuration, calling a preset protocol parameter based on an interface type, and obtaining first identification information of equipment; then, based on a preset protocol mapping table or a dynamic matching rule base, determining a protocol type, and based on the protocol type, performing segmented analysis on the original data stream, identifying an effective frame and checking integrity to obtain a field definition, an instruction template and a communication parameter for binding storage with the unique identifier of the equipment; and finally, automatically generating an instruction according to the communication configuration, performing communication interaction with laboratory equipment, and triggering retransmission or link recovery operation when the communication state is abnormal by monitoring the communication state in real time. In addition, the communication condition of the laboratory equipment is displayed in real time through the interaction platform. According to the method, the deployment cost is reduced through full-automatic identification configuration, and the communication stability is improved through communication link optimization and exception handling.

The invention provides a micro-nano processing laboratory equipment information control method and device. The method comprises the following steps: acquiring user login information; calling item information to which a user belongs, user experiment reservation information, user associated equipment information and user historical query information according to the user login information; predicting the attention weight of the user to each piece of laboratory equipment management information in combination with the user identity permission, the item information to which the user belongs, the user reservation experiment information, the user associated equipment information and the user historical query information; adjusting the display sequence and the detailed degree of each piece of laboratory equipment management information in combination with the attention weight; and the data board is used for sending laboratory equipment management information to the user according to the display sequence and the detailed degree.

The invention discloses a laboratory risk control method based on a graph neural network, and the method comprises the following steps: S1, constructing a dynamically updated interaction event graph based on an interaction event sequence of laboratory equipment, personnel and environment; s2, dynamically updating the state space of each node according to the event preorder relation, and generating a synchronous node state sequence; s3, generating an early warning feature set of a node state change trend by adopting a graph convolution operation; s4, constructing an inter-node risk incidence matrix according to the early warning feature set, and generating an updated risk propagation path; s5, evaluating the probability of transition from the node state to the abnormal state, and generating a state risk prediction value; and S6, inputting a wolf pack optimization algorithm, and optimizing a parameter combination to obtain a laboratory risk prediction result. According to the invention, the real-time performance and accuracy of laboratory risk prediction are improved.

The invention discloses a method for determining the demulsification speed of emulsified asphalt, and relates to the technical field of online detection and intelligent monitoring of road engineering materials, and by integrating a lightweight time sequence prediction model and a self-adaptive processing mechanism, the practicability and reliability of the determination of the demulsification speed of the emulsified asphalt are remarkably improved; in the aspect of portability, an edge model based on a gating circulation unit structure is adopted, so that the dependence on computing resources is reduced, the method can be operated on handheld equipment, the problem that traditional laboratory equipment is heavy is avoided, and construction personnel can conveniently and quickly deploy the equipment on site; the real-time performance is enhanced, the adaptive sliding window dynamically adjusts the window length and step length according to the data stability to ensure that the inference frequency is matched with the demulsification process, and the model can immediately respond to environmental changes such as temperature fluctuation and output a demulsification speed estimated value without obvious delay in combination with an online learning mechanism, so that the paving and compacting opportunities are guided; and construction interruption is reduced.

The invention relates to the related technical field of laboratory equipment, and discloses a laboratory intelligent management system based on a safety monitoring function, which comprises an experiment table, an operation table is arranged on the experiment table, a first shell is arranged at the upper end of the operation table, and a collection and treatment assembly is arranged in the first shell; an S-shaped channel can be formed in the middle of the interior of the second shell through a first inclined plate and a second inclined plate, so that the moving stroke of poisonous gas in the second shell is prolonged, and the treatment effect on the poisonous gas is improved; the conical cover moves downwards to be close to the position above a source where the harmful gas is generated, so that the toxic gas is prevented from being diffused into a laboratory; and finally, by reducing the width of an S channel in the second shell, the height of the multiple adsorption particles in the second shell is increased, the contact time of the toxic gas and the multiple adsorption particles is further prolonged, and the toxic gas treatment effect of the collecting and treating assembly is improved according to the amount of the toxic gas.

The invention discloses a safety early warning method and system, and the method comprises the steps: obtaining environment data and equipment data corresponding to each piece of laboratory equipment, the environment data and the equipment data being data collected by a detection sensor corresponding to the laboratory equipment, and deploying at least one piece of laboratory equipment in a laboratory, a single laboratory device is correspondingly provided with at least one detection sensor, and the detection sensor is detachably installed in the communication network of the access server; comparing the environment data and the equipment data with a preset parameter threshold to obtain a comparison result; inputting the equipment data and the environment data into a pre-trained anomaly evaluation model for identification to obtain an anomaly score; determining an abnormal event and an early warning strategy corresponding to the abnormal event according to the comparison result and the abnormal score; and sending the early warning information to the target early warning equipment to indicate the target early warning equipment to execute the early warning strategy. According to the invention, the timeliness and accuracy of the detection and response of the laboratory abnormal event are improved.

The invention discloses a laboratory intelligent inspection and maintenance method based on cooperation of the Internet of Things and a robot, and relates to the technical field of laboratory management, and the maintenance method comprises the following specific steps: S100, data collection and transmission: deploying a plurality of Internet of Things sensors at key positions of a laboratory, collecting environment data and equipment operation state data in real time, and sending the environment data and the equipment operation state data to a server; according to the method, data models of different disciplines are constructed by combining knowledge of multiple disciplines of chemistry, physics and biology, real-time data are analyzed and monitored in real time, abnormal conditions in operation of a laboratory can be found in time, and in a knowledge graph fault traceability stage, the fault traceability of the laboratory is improved. According to the method, the map covering laboratory equipment, experimental process and environmental factor knowledge is constructed, and the comprehensive association degree of the fault features and related entities in the knowledge map is evaluated, so that the fault generation root can be quickly judged, the fault processing time is shortened, the fault processing accuracy is improved, and the fault processing efficiency is improved. Powerful support is provided for the operation of a laboratory.

In one embodiment, a method is disclosed to determine one or more biological cells of interest to identify and count in a mixed biological sample fluid with differing biological cells. The method can include selecting cell markers associated for biological cells to which conjugated antibodies can attach with differing fluorescent dyes; displaying a panel builder graphical user interface window to display a co-expression matrix by biological cell type to assist in selecting cell markers to assign co-expression; and selecting cell markers to assign co-expression with an input device.

The invention belongs to the field of smart laboratory management, relates to a data analysis technology, and aims to solve the problem that dynamic parameter setting cannot be performed on the basis of static data of equipment in the prior art, in particular to a smart laboratory comprehensive management method and system fused with big data analysis. The comprehensive management platform is in communication connection with a static analysis module, a dynamic adjustment module, a fault monitoring module, a management optimization module and a database; the static analysis module is used for performing static data analysis on the equipment of the intelligent laboratory; the laboratory equipment put into use is marked as an analysis object, and the analysis object is marked as a conventional object or an indented object through a maintenance proximity value and a consumable stock value; static data analysis can be carried out on the equipment in the smart laboratory, the fault probability of the equipment in the experiment process is predicted according to the maintenance stage of the equipment and the consumable stock number, and data support is provided for the dynamic adjustment process.

The invention discloses a system for simulating the contact condition of a pantograph and a contact net after an earthquake. Relates to the field of railway bridge contact net anti-seismic tests. The system comprises a contact network simulation assembly, a train simulation assembly and a vibration table assembly. The contact network simulation assembly comprises a winch, a contact rope and two supporting columns. The two supporting columns are fixedly arranged at intervals, the winch is arranged at the top ends of the supporting columns and used for driving the contact rope to slide between the two supporting columns, the train simulation assembly comprises a train body, wheel parts arranged below the train body and a pantograph arranged on the train body, and the pantograph is in contact with the contact rope; the vibration table assembly comprises a table body and a vibrator used for vibrating the table body. The table body comprises a plurality of table tops which are independently arranged; the wheel part is placed on the table body; the vibration table assembly is adopted, each wheel below the train head is placed on the corresponding vibration table, and compared with the situation that a large vibration table top is placed below each wheel of a front bogie and a rear bogie, the real situation that the vibration states of all the wheels are different when a train runs on an unsmooth track after an earthquake is better met, the requirement for laboratory equipment conditions is lower, and the working efficiency is improved. Theoretically, test simulation is easier to realize, and the test result is more real, accurate and comprehensive.

The invention relates to a mobile energy storage terminal, which comprises a shell assembly, and a power output module, a water tank assembly, an air filter assembly, a battery, a main control circuit board assembly, a water system and a mobile assembly which are arranged in the shell assembly, mobile power supply is supported through a built-in battery, the service life of a filter element is monitored through the air filter assembly, the water system integrates UV sterilization and automatic water level management, and the main control circuit board assembly provides touch screen interaction and wireless control functions. The system solves the problems that traditional laboratory equipment is complex in construction and single in function, and has the advantages of being highly integrated, movable and intelligent in management. The system integrates water, electricity and wind, can adapt to various application scenes without electricity, water and air purification systems, simplifies laboratory hardware installation and reduces laboratory construction cost.

The invention discloses a spectrogram data management method based on laboratory equipment, and relates to the technical field of medical data management, and the method comprises the steps: constructing a topological graph through a graph theory method, describing the incidence relation between different target drugs, collecting the drug component data of a target drug sample through the laboratory equipment, in combination with a traditional Chinese medicine compatibility theory and a formula standard, edges and weights between different nodes are initialized, the relation between attributes of the nodes and the edges in the topological graph is adjusted by comparing with a medicine component database in an existing pharmaceutical standard, and finally the verified and optimized topological graph is stored as standardized spectrogram data. According to the method, the relationship among the medicine components is visualized through a graph theory method, and the edges and the weights of the edges among the nodes in the topological graph are generated in combination with the attributes and interaction of the medicine components, so that researchers can visually check the action relationship among the components, and the research efficiency is improved. And the problems of information isolation and difficult query in traditional experimental data management are reduced.

The invention belongs to the field of laboratory equipment management, relates to a data analysis technology, is used for solving the problem that in the prior art, optimal matching of execution equipment cannot be carried out for experiment types, and particularly relates to an intelligent laboratory equipment state real-time control method and system based on the Internet of Things. Comprising an equipment monitoring module, an experiment evaluation module, a reconstruction analysis module and an operation and maintenance management module which are connected in sequence, and the equipment monitoring module, the experiment evaluation module, the reconstruction analysis module and the operation and maintenance management module are in communication connection with a database; according to the method, reconstruction optimization analysis can be carried out on execution equipment in the experiment process, comprehensive analysis and calculation are carried out in combination with the mark states of all monitoring equipment under the same equipment type in the monitoring period to obtain the reconstruction coefficient, and therefore a reconstruction data set is generated for the experiment type; the execution equipment of the experiment process is dynamically matched by taking the monitoring period as a unit, so that the accident rate and the equipment failure rate of the experiment process are reduced.

The invention provides a reverse instruction identification and concurrent management method and system for laboratory equipment and a medium, and the method comprises the steps: firstly, dynamically analyzing a user instruction through a pre-configured protocol table, converting a parameter into a binary control frame which can be identified by the equipment, and breaking through the coarseness limitation of a conventional switch type instruction; then, multi-thread asynchronous scheduling and device-level independent task queues are adopted, a control queue is distributed for each device, a priority label is embedded, transmission channels are dynamically switched in combination with network link quality, and non-blocking control over the devices in a high-concurrency scene is achieved; finally, the instruction receiving frequency is dynamically adjusted based on the equipment state, so that the instruction execution success rate is increased; in addition, an equipment grouping management mechanism is introduced, according to an equipment group unified instruction issued by a user, the equipment group unified instruction is automatically disassembled into sub-instructions, and the sub-instructions are executed in batches according to a strategy, so that the experiment cooperation efficiency is greatly improved.

The invention relates to a laboratory system including at least one laboratory device which is designed to analyse and / or synthesise a chemical substance; at least one laboratory software module which is designed to process data obtained from the at least one laboratory device; a data processing device with control software that provides an interface for operating the at least one laboratory device and / or the at least one laboratory software module; and a portable device with a microphone, wherein the device is connected interoperably to the control software via a network, wherein the device is designed, in interoperation with the control software, to allow a user to operate the at least one laboratory device and / or the at least one laboratory software module without manual intervention, by speaking into the microphone.

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 invention provides a semiconductor experiment platform experiment reservation process auxiliary method and device, a storage medium and equipment, and the method comprises the steps: obtaining the login information of basic information inputted by a user in a semiconductor experiment platform, and calling the related information of the user from the semiconductor experiment platform according to the login information of the user, the associated information comprises user basic information, user communication records and user historical experiment records; generating a user portrait according to the associated information; obtaining an experiment reservation process node of a user on the semiconductor experiment platform; and generating experiment appointment process prompt information of the semiconductor experiment platform in combination with the experiment appointment process node and the user portrait. Specific experiment reservation process prompt information is generated by combining the specific portrait of the user and the experiment reservation process node where the user is located, so that the semiconductor experiment platform can remind different users and specific experiment reservation contents. And the user process node management efficiency of the semiconductor experiment platform and the operation efficiency of laboratory equipment are improved.

A computer-implemented method of automatic registration of a device in a laboratory system comprising:transmitting from the to be registered device specific information to a managing unit (“unit”) via a first interface;the unit requesting a solution specific configuration from a remote infrastructure via a second interface, receiving the solution specific configuration from the remote infrastructure via the second interface, and transmitting the solution specific configuration to the device to be registered via the first interface, the solution specific configuration being based on the device specific information and configuration information about the laboratory system; andtransmitting a request from the unit comprising updated solution specific configuration to the laboratory devices, the updated solution specific configuration comprising information about the device to be registered and changes due to addition of said device, wherein the laboratory configuration step comprising providing the updated solution specific configuration to the remote infrastructure.

The utility model belongs to the agricultural product pesticide residue detection technical field discloses a device for detecting agricultural product pesticide residue, including base frame, the base of base frame is opened and has colorimetric card placing groove and optical magnifying glass placing groove, broken jar, broken jar includes broken jar body and the jar cover of sleeve joint installation in the top of broken jar body, the broken structure is integrated on the jar cover, conveying chamber, conveying chamber is installed in the bottom of broken jar body, and the bottom of conveying chamber is threadedly matched and is connected with filter cover, filtrate container, filtrate container can be detachably installed on the base of base frame, and filtrate container is located the just below of conveying chamber, and the base of base frame is opened and has the clamping groove corresponding with filtrate container, and the clamping groove is adapted to filtrate container. The utility model breaks through the space limit of traditional laboratory equipment by integrating the compact base frame of broken, filter, colorimetric analysis function, supports the field fast screening of field, exempts power dependence simultaneously manual operation design, reduces use cost significantly.

A laboratory ore crushing device belongs to the technical field of laboratory equipment and comprises a crushing barrel, a crushing hammer, a silencing mechanism, a guide mechanism, a clutch mechanism and a hoisting mechanism. The crushing barrel is arranged in the silencing mechanism; the guide mechanism is arranged at the upper part of the crushing barrel; the breaking hammer is arranged in the guide mechanism; the clutch mechanism is arranged between the upper part of the breaking hammer and the hoisting mechanism; the silencing mechanism comprises a base, an outer cylinder body, a sealing cover and a silencing cotton interlayer; the guide mechanism comprises a conical cap section and a straight pipe section; the clutch mechanism comprises an iron attracting block, an electromagnet and a wireless remote controller; the hoisting mechanism comprises a support, a first fixed pulley, a second fixed pulley, a movable pulley, a rope and a hook. The laboratory ore crushing device has the advantages of being simple in structure, low in cost and capable of saving time and labor, accurate control over the hammering force can be achieved, dust and noise pollution can be avoided, the crushing barrel is easier to clean and maintain, and cross contamination of follow-up experimental samples is avoided.

A method of assigning an additional test to an existing aliquot sample tube or to a primary sample tube in a laboratory automation system is presented. The laboratory automation system comprises a workflow control unit and analytical laboratory devices in communication with the workflow control unit. The method comprises receiving an additional test request for the existing aliquot sample tube after processing of the existing aliquot sample tube has started, determining if the existing aliquot sample tube is at a retrievable target, waiting until the existing aliquot sample tube reaches a retrievable target if not at a retrievable target, determining if an aliquot timeout has occurred once the existing aliquot sample tube is at a retrievable target, reassigning the addition test to the primary sample tube if an aliquot timeout has occurred, and performing the additional test from the existing aliquot sample tube if no aliquot timeout has occurred.

The present invention relates to a rotor (1) for laboratory equipment (100), particularly for a centrifuge, wherein the rotor (1) comprises a rotor body (2) having a receiving volume (3) and a cover (4) by means of which the receiving volume (3) in the rotor body (2) can be closed. The rotor (1) is characterized by a locking mechanism (5) having at least one locking element (6) movable from an open position to a locked position and a receiving portion (7) corresponding to the at least one locking element (6), wherein the at least one locking element (6) engages in the receiving portion in the locked position to lock the cover (4) to the rotor body (2), wherein the at least one locking element (6) is movable between its unlocked position and its locked position by means of a preferably rotatable operating element (8) arranged at the cover (4).

The invention relates to the technical field of laboratory devices, in particular to an intelligent intraperitoneal injection auxiliary fixing device for laboratory mice, which comprises a basic bearing module, and a mouse fixing module, a pressure monitoring module, a control module, an indication module and a power supply module which are mounted on the basic bearing module, wherein the mouse fixing module is used for fixing a mouse, the mouse fixing module comprises a lower arc-shaped latticed clamping plate, an upper arc-shaped clamping plate, a connecting piece and a hook lock, the lower arc-shaped latticed clamping plate and the upper arc-shaped clamping plate are connected through the connecting piece, and the upper arc-shaped clamping plate and the lower arc-shaped latticed clamping plate are jointly matched to clamp the mouse; the abdomen of the mouse faces the lower arc-shaped latticed clamping plate, the hook lock is used for fixing the upper arc-shaped clamping plate and the lower arc-shaped latticed clamping plate, the pressure monitoring module can monitor the stress condition of the mouse in real time, compressive stress or suffocation of the mouse is avoided, and animal welfare is improved.

To provide a labware aligning system used together with labware.SOLUTION: The system according to the present invention comprises a frame and a fixation system. The frame comprises a seat. The fixation system comprises a pusher and a pusher actuator. The pusher is movable relative to the frame between an open position and a closed position. The pusher actuator comprises an actuator linkage and a biasing mechanism. The actuator linkage is configured to move the pusher from the closed position toward the open position when the actuator linkage is displaced, and to allow the pusher to move toward the closed position when the actuator linkage is not displaced. The biasing mechanism is operative to urge the pusher toward the closed position when the actuator linkage is not displaced, thereby causing the pusher to align labware in the seat.SELECTED DRAWING: Figure 2

This application discloses a self-maintenance method and system for laboratory fume hoods, and a laboratory fume hood itself. The self-maintenance method includes: self-testing after the fume hood system starts; self-maintenance execution, including self-cleaning of the duct regulating valve and self-calibration of sensors; fault diagnosis, collecting electrical parameters and sensor detection data in real time, and performing fault diagnosis on each component based on the electrical parameters and detection data; fault early warning, employing a graded response mechanism to trigger differentiated responses based on the severity of the fault diagnosis results, the differentiated responses including the self-maintenance execution, audible and visual alarms, or information prompts; and record traceability, whereby the differentiated responses are recorded, stored, and uploaded to a laboratory equipment management platform in real time. This system possesses self-maintenance capabilities, achieving self-testing, self-cleaning, self-lubrication, and self-calibration functions, reducing the failure rate of laboratory fume hoods and labor maintenance costs.

The utility model discloses a liquid-phase fraction collecting valve with a liquid leakage detection and overpressure alarm device, which is integrally of a box structure and specifically comprises a case, a partition plate is arranged in the case and divides the case into a dry area and a wet area, and the partition plate and the case are sealed; the liquid leakage sensor is mounted in a liquid accumulation disc in a wet area on the front side of the case body; the liquid substrate is provided with a liquid inlet, a plurality of collection ports, a waste liquid port and an expansion port; wherein the liquid inlet is located at the foremost end, the collection opening is formed behind the liquid inlet, the collection opening is normally opened behind the collection opening, the waste liquid opening is closed only in a suction mode in a collection task, and the waste liquid opening is normally opened in other working stages; the plurality of electromagnetic valves are respectively connected with the plurality of collection ports and the waste liquid port, and the opening and closing of the collection ports and the waste liquid port are controlled through power-on opening and closing; and the pressure sensor is mounted on the liquid substrate and is positioned behind the liquid inlet and in front of the collecting opening. The liquid leakage alarm device has the functions of liquid leakage detection and overpressure alarm, and the safety and the reliability of laboratory equipment can be remarkably improved.