34 results about "Laboratory management" patented technology

The invention discloses a laboratory whole-process intelligent management and control system based on AI and Internet of Things fusion, which relates to the technical field of laboratory management and comprises an equipment access unit, a central decision unit and a business application unit. According to the system, a risk model library and a real-time risk map can be constructed through the risk assessment module, accident risks caused by human errors are reduced through the real-time risk map, automatic emergency disposal and personnel behavior compliance monitoring, and when the equipment operation and maintenance module detects that the equipment is abnormal, predictive maintenance can be automatically carried out, so that the downtime is shortened, and the maintenance efficiency is improved. The resource scheduling module can be used for optimizing the inventory and scheduling the equipment, and carrying out global allocation based on an inventory sharing model, so that resource idleness is reduced through cross-courtyard inventory sharing, resource sharing is facilitated, cross-courtyard collaboration is completed, and the situation that data cannot be synchronized due to independent inventory management of each courtyard is avoided; and further, global optimization can be realized.

The invention discloses a management platform and a management method for a laboratory. The method comprises the following steps: acquiring an environment-related data set and an equipment-related data set of a target laboratory; according to the environment related data set, calculating an environment state index representing environment quality of the target laboratory; according to the equipment related data set, calculating an equipment state index representing the equipment operation stability degree of the target laboratory; and according to the environment state index and the equipment state index, determining an overall state index and a state level of the target laboratory so as to be used for management of the target laboratory. According to the embodiment of the invention, the method can achieve the evaluation and management of the overall operation condition of the laboratory, guarantees the stable operation of laboratory equipment, guarantees the high-quality state of the environment, and improves the overall management efficiency of the laboratory.

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 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.

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 provides a laboratory digital management method and system, electronic equipment and a storage medium, and relates to the technical field of laboratory automation and spectral analysis. The method comprises the following steps: acquiring a multi-wavelength spectral image sequence in an experimental reaction container in a non-contact manner, associating the multi-wavelength spectral image sequence with a final performance index, and performing differential enhancement to generate a spectral change feature map; performing differential amplification on the spectral electric signal to suppress noise and enhance an effective signal, dividing a region of interest according to a container structure, calculating average spectral intensity, and generating a spectral response curve; the method comprises the following steps: extracting first-order and second-order derivative curves, identifying an intensity change inflection point and a slope abrupt change interval, screening out a key optical change mode in combination with a final performance index, finally establishing a mapping relation between the key optical change mode and the performance index, and constructing a digital model for monitoring a reaction state and predicting final performance. The reaction process can be monitored and the experiment result can be predicted through the spectrum change characteristics, so that the intelligence and accuracy of laboratory management are improved.

The invention discloses an animal laboratory cage position demand prediction system and method based on the Internet of Things, and the system comprises a data set construction module which is used for constructing a cage position occupation state data set containing a timestamp through the utilization of cage position occupation state data collected by RFID electronic tags installed on all cage positions; the data preprocessing module is used for obtaining a standardized sequence of cage occupation states; the model construction module is used for constructing a prediction model of a fusion attention mechanism by using the attention weighting sequence and the determined difference order, autoregression order and moving average order; the prediction output module is used for executing reasoning calculation through the verified prediction model to obtain a cage position demand prediction value of a future set period; the system can capture and accurately predict the dynamic occupation rule and the future demand trend of the experimental animal cage position in real time, and provides effective guarantee for the optimal configuration of resources and the efficient connection of scientific research tasks in the laboratory management process.

The present invention designs a method for managing the behavior of personnel in a hazardous chemical laboratory based on pedestrian re-identification. It collects video image data in the laboratory and pre-processes it. It uses a pedestrian detection algorithm to detect the position and contour information of pedestrians in the image, and extracts features of the detected pedestrians, including human contours, postures, and clothing features. It uses a pedestrian re-identification algorithm to identify and track the extracted features to obtain the identity information and motion trajectory of each pedestrian. Based on this information, the behavior of pedestrians is analyzed and managed, including behaviors such as entering and leaving the laboratory and operating hazardous chemicals. At the same time, the method monitors and warns the behavior of personnel in the laboratory in real time. Once abnormal behavior is found, an alarm will be issued in time and corresponding measures will be taken. The personnel behavior data will be stored in a database, and data analysis and reporting will be performed regularly to provide decision support to laboratory managers.

The invention provides an intelligent laboratory management system based on Internet of Things and an access control method, which can perform area error node positioning according to access control verification information of error positioning objects in different access control verification information positioning areas to obtain sensing error positioning nodes respectively corresponding to the different access control verification information positioning areas; performing association depth verification to obtain association depth and feature distance corresponding to each access control verification object and the sensing error positioning node of the area; according to the access control verification information corresponding to each access control verification object and the feature distance and association depth between the sensing error positioning node of the area, access control is carried out, so that error node positioning can be carried out according to the access control verification information of the error positioning object, and access control is carried out according to the sensing error positioning node. And the entrance guard misjudgment rate caused by sensor errors is reduced.

The application discloses a reinforced secondary biological safety laboratory intelligent integrated management system, which comprises a control terminal, a system login module, a system setting module, a user management module, a project management module, a laboratory management module, an animal room management module, an instrument and equipment management module, a project statistics module and a log management module. The application is a kind of efficient, convenient and professional system management operation software, which is used for biological safety laboratory project management, laboratory reservation use, experiment personnel management, experimental animal and cage site management, laboratory facility and equipment and consumable management, and realizes intelligent, digital and whole-process integrated management.

The invention belongs to the technical field of fault diagnosis, and particularly relates to a base rod forming device, a fault diagnosis method and system thereof, a data preprocessing method and a laboratory management system. The fault diagnosis method comprises the following steps: S1, acquiring operation state parameters in the operation process of the base rod forming device; the operation state parameters are time sequence data; s2, decomposing the operation state parameters in the form of the time series data into a limited number of modal components through modal decomposition, and taking all modal components with kurtosis values exceeding a kurtosis threshold value as effective modal components; the kurtosis threshold value is obtained according to the following mode that medians of the kurtosis of all the modal components are corrected through absolute median deviation of the kurtosis of all the modal components to obtain the kurtosis threshold value; and S3, inputting the effective modal component into a pre-trained fault diagnosis model to obtain a fault state type of the base rod forming device. The technical problem of inaccurate fault diagnosis in the prior art is solved.

The invention discloses a laboratory digital management system based on a 4G mobile network, which comprises a digital monitoring system, a mobile terminal APP and a digital large screen, and is characterized in that the digital monitoring system is used for collecting a rotating hub state, vehicle information and environment data, and encrypting and transmitting the data to a cloud end by using the 4G mobile network; the mobile terminal APP is used for performing operation management on the laboratory according to the collected data; and the digital large screen is used for displaying laboratory operation data according to the acquired data. According to the laboratory digital management system based on the 4G mobile network, based on a dynamic interaction architecture of a digital monitoring system, a mobile terminal APP and a digital large screen, multi-protocol fusion acquisition, wireless transmission based on the 4G network and full-process digital closed-loop management are adopted, the data acquisition efficiency can be improved, the operation and maintenance cost can be reduced, and the system is suitable for popularization and application. And intelligent supervision of equipment, personnel and the test process is realized, and the management efficiency and the test capability of the laboratory are remarkably improved.

The invention discloses an intelligent comprehensive management method for a laboratory, and relates to the technical field of laboratory management. The method comprises the following steps: a laboratory adds an equipment identity identifier to unknown access equipment; collecting a laboratory equipment operation data set, and obtaining a normal distribution threshold value of the laboratory equipment operation data set through a standard deviation method; obtaining an equipment state index by combining the laboratory equipment operation data set and a normal distribution threshold value; obtaining an equipment performance trend index of the laboratory equipment operation data set through a least square method; combining the equipment state index and the equipment performance trend index to obtain an equipment comprehensive index; obtaining a user priority index of the collected user behavior data set through a quantile ranking method; and collecting laboratory course data and associating equipment identities to obtain an equipment course mapping table, and constructing a user equipment feasibility matrix to allocate experimental equipment in combination with an equipment comprehensive index and a user priority index, thereby realizing comprehensive management of the laboratory.

The invention discloses an intelligent quality control method suitable for a laboratory, and relates to the technical field of laboratory management, and the method comprises the steps: obtaining and storing the historical quality control management data of the laboratory; analyzing and calculating an experiment quality influence value of each quality control parameter; collecting environment and equipment monitoring data of a laboratory in real time; performing comparative analysis to obtain a current quality control level value of each quality control parameter; judging whether quality management measure evaluation is carried out or not; when quality management measure evaluation needs to be carried out, evaluating a level improvement index of the quality management measure for the experiment quality in the management measure database; an optimal laboratory quality management measure is comprehensively decided; and outputting and executing the optimal quality management measure. The method has the advantages that by constructing the quality control parameter association map and applying the improved PageRank algorithm, the accurate quantitative evaluation of the laboratory quality risk is realized, and the transformation of the intelligent quality control of the laboratory from post-remedy to pre-precaution is realized.

The present disclosure relates to a personnel experiment standardized detection and autonomous alarm system and method, belonging to the field of intelligent laboratory management. The system comprises: an acquisition module for acquiring laboratory video stream information; a visual perception module for identifying irregular behavior in the laboratory video stream information using an improved YOLOv11 model, wherein the model is a YOLOv11 model embedded with a global grouping coordinate attention module in a backbone network; a UWB positioning module for analyzing the position coordinates of personnel in the laboratory and outputting personnel position coordinates with ID information and time stamps; a data fusion and decision module for associating the irregular behavior data and the personnel position coordinates, binding the irregular behavior and the irregular operation personnel through a multi-modal data fusion algorithm to obtain a binding result; and an alarm module for performing an alarm operation according to the binding result. The present disclosure can automatically and accurately identify irregularities and specific irregular personnel and automatically alarm.

The invention relates to the technical field of sensor networks, in particular to an intelligent chemical laboratory instrument management method and system, and the method comprises the steps: monitoring the state information of a working environment where a target instrument is located in real time, obtaining the use state information of the target instrument in real time, and carrying out the fault early warning of the target instrument according to the state information of the working environment. According to the laboratory instrument management system and method, the advanced sensing technology, the data analysis technology and the wireless communication technology are integrated, efficient and accurate management of laboratory instruments is achieved, the experiment efficiency and the data quality are improved, the safety and economical efficiency of a laboratory are improved, and the laboratory instrument management system and method are suitable for popularization and application. The method is an important innovation of modern laboratory management.

The utility model discloses an intelligent multifunctional laboratory management cabinet which comprises a management cabinet body, a dismounting assembly is arranged on the inner side wall of the management cabinet body, and ventilation assemblies are fixedly installed on the two sides of the management cabinet body respectively. The disassembling and assembling assembly comprises a disassembling and assembling plate and a fixing plate, the disassembling and assembling plate is arranged on the inner side wall of the management cabinet body, the fixing plate is fixedly installed at the bottom of the disassembling and assembling plate, and one side of the fixing plate is fixedly connected with a spring. According to the intelligent multifunctional laboratory management cabinet, through arrangement of the dismounting assembly, a dismounting plate can be dismounted, so that the cabinet is more convenient to clean, the dismounting plate can be dismounted, so that the cabinet is more convenient to clean, and all corners inside the cabinet can be thoroughly cleaned; the situation that stains, residual chemical substances and the like are accumulated for a long time to breed bacteria or influence the purity of follow-up stored articles is effectively avoided, and the sanitary condition of the environment in the laboratory management cabinet is guaranteed.

The invention discloses an intelligent supervision system for a laboratory, and the system comprises an environment monitoring subsystem which is used for monitoring the environment information in the laboratory; the internal image acquisition subsystem is used for acquiring images in the laboratory; the identity verification subsystem is used for collecting and verifying identity information; the intelligent supervision system processes the environment information to generate laboratory environment warning; and the intelligent supervision system processes the image in the laboratory and generates an internal abnormity warning. According to the invention, the problems of insufficient environment monitoring, non-strict personnel management, lack of behavior monitoring, data dispersion, slow emergency response and the like in traditional laboratory management are solved, and intelligent, efficient and safe management of the laboratory is realized.

The invention provides a visual laboratory system and method, and belongs to the field of laboratory management. Comprises: a digital twinborn model construction module for constructing a digital twinborn model of a laboratory physical space through a digital twinborn method, the digital twinborn model comprising a building model and an equipment model, associating laboratory environment data to the building model according to a data association mechanism, and associating equipment operation data to the equipment model; and the simulation experiment module is used for performing a simulation experiment in combination with simulation software according to the laboratory environment data associated with the building model and the equipment operation data associated with the equipment model. According to the method, the digital twinborn model matched with the laboratory physical space is established through laser scanning, and experimental data are associated, so that the problem of low precision of traditional modeling is solved, and a visual management basis is tamped.

This utility model relates to a fully automatic sample vial cleaner, comprising a housing and a control box. The housing contains a sample vial placement area, a moving component, a gripping component, and a liquid extraction component. The gripping and liquid extraction components are connected to the moving component, which drives the gripping and / or liquid extraction components. The gripping component transports the sample vials, and the liquid extraction component extracts or removes liquid from the vials. The control box controls the operation of each component. The housing also contains a cleaning component, which includes a cleaning tank and a spray mechanism. The spray mechanism is positioned above the cleaning tank and sprays cleaning agent or water onto the sample vials within the tank. This utility model achieves automatic transport, cleaning agent injection, and cleaning of sample vials, significantly reducing cleaning costs, ensuring cleanliness, eliminating manual operation, saving manpower, improving efficiency, better protecting the safety of laboratory personnel, avoiding the drawbacks of incomplete manual cleaning, and achieving standardized laboratory management.

The present invention relates to the technical field related to laboratory equipment, and discloses a laboratory intelligent management system based on safety monitoring function, including a laboratory bench, an operating table provided on the laboratory bench, a first shell provided at the upper end of the operating table, and a collection and processing component provided inside the first shell; the present invention can use the first inclined plate and the second inclined plate to form an S-shaped channel in the middle of the interior of the second shell, thereby extending the travel of the toxic gas in the second shell, which is beneficial to improving the effect of treating the toxic gas; then the conical cover moves downward to the top of the source of the harmful gas, reducing the diffusion of the toxic gas into the laboratory; finally, by reducing the width of the S channel in the second shell, so as to increase the height of several adsorption particles in the second shell, further improving the contact time between the toxic gas and the several adsorption particles, which is beneficial to improving the effect of the collection and processing component on treating the toxic gas according to the amount of the toxic gas.

The utility model discloses an instrument swing frame, which relates to the technical field of laboratory management, and comprises a box body, a box door is movably arranged on the surface of the box body, a handle is fixedly arranged on the surface of the box door, an instrument storage mechanism is arranged in the box body, an air circulation mechanism is arranged at one end of the instrument storage mechanism, and the air circulation mechanism is arranged at the other end of the instrument storage mechanism. A file storage mechanism is arranged in the box body, the instrument storage mechanism comprises a fixing plate, the fixing plate is fixedly mounted in the box body, a guide rail is fixedly mounted on the surface of the fixing plate, and a limiter is slidably connected to the surface of the guide rail. The height of the storage cabinet is adjusted through the limiters, meanwhile, the storage cabinet can be fixed by screwing the limiting rods, the storage racks in the storage cabinet can be detached, different types of storage racks can be conveniently cleaned and replaced, test tubes are inversely arranged in the test tube grooves, the test tubes are supported through the supporting frames, and the cleaned test tubes can be dried. Next use is facilitated, and the adaptability of the device is improved.

The utility model relates to the technical field of laboratory management, in particular to a laboratory use management reservation system which comprises a placing plate, a server is placed on the placing plate, a filtering structure is arranged on the placing plate and comprises a lead screw, the lead screw is rotationally connected to the placing plate, a clamping plate is connected to the lead screw in a threaded mode, and the clamping plate is connected to the server. A clamping plate is arranged on the placement plate, an outer frame abuts against the clamping plate, two filter screens are fixedly connected to the outer frame, the outer frame abuts against a server, calcium chloride particles are arranged between the two filter screens and the outer frame, a plurality of ventilation holes are formed in the server, a vertical plate is fixedly connected to the placement plate, and a fan is detachably connected to the vertical plate through a plurality of bolts. The heat dissipation speed of the server is increased conveniently, the working efficiency of the server is guaranteed, dust and water can be effectively prevented from entering the server, and cleanliness of the interior of the server is guaranteed.

1. Name of the product in this design: Graphical User Interface for Laboratory Intelligent Management Platform of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: It is used to select different floors in the smart laboratory management platform and view the environment, equipment, system alarms, energy consumption, video monitoring, etc. of each floor. 6. Human-computer interaction method of graphical user interface: Clicking the floor value on the right side of the middle of the interface in the main view can switch the floor, and the corresponding environmental overview, equipment overview, system alarm overview and other data can also be switched; clicking "Annual" and "Monthly" next to the energy consumption overview can switch the value to view. 7. Other situations requiring explanation: Other explanation: "X" in the interface represents text.

The invention relates to the technical field of laboratory intelligent management, and discloses a laboratory intelligent control system, which comprises an equipment monitoring module, a sample full life cycle management module, a data acquisition and analysis module, a process management module, a multi-mode abnormal event causal association analysis module and a mobile terminal and cloud module. Multi-modal heterogeneous data from equipment, samples and processes are integrated through the data acquisition and analysis module and standardized processing is carried out, and the system realizes comprehensive perception of a laboratory environment. Wherein the multi-modal abnormal event causal correlation analysis module is used as a core, and the root cause of an abnormal event is identified by constructing a domain knowledge graph and based on a specific scoring mechanism, so that the efficiency and accuracy of root cause analysis are remarkably improved. The method corresponds to various functions of the system, and intelligent control over the laboratory is achieved through systematized steps. The laboratory operation efficiency, the data reliability, the traceability and the safety are effectively improved.

This application relates to a method, system, and medium for comprehensive laboratory management based on digital twins, falling within the field of safety element management technology. The comprehensive laboratory management method includes: collecting and cleaning relevant data on experimental equipment, functional environment, and personnel behavior in the laboratory to construct physical entity data; constructing a laboratory spatial twin based on the laboratory architectural drawings, mapping and fusing historical physical entity data to generate a laboratory digital twin model; tracing and managing laboratory physical entity data based on the laboratory digital twin model, and identifying abnormal physical entity data; determining abnormal physical entity data based on a preset risk warning mechanism, identifying the entity's risk level, and remotely adjusting and controlling the corresponding physical entity; through real-time mapping of physical entities and digital models, combined with historical data storage, the laboratory status at any time period can be traced back, improving the efficiency of anomaly tracing.

This application belongs to the field of data processing. The method for processing medical laboratory-related data provided in the embodiments of this application can obtain the assessment items and assessment standards associated with the target assessment of the medical laboratory. It retrieves the laboratory data corresponding to the assessment items from the medical laboratory's testing equipment and / or associated laboratory information equipment, analyzes whether the laboratory data meets the assessment standards corresponding to the assessment items, and outputs early warning information for cases where the laboratory data does not meet the assessment standards, prompting laboratory managers to improve the assessment items. This application embodiment implements a daily early warning scheme for medical laboratories, eliminating the need for paper documents, improving the automation capability of laboratory-related data processing, and using early warning information to help medical laboratories improve non-compliant items in daily operations, thereby increasing the pass rate during actual assessments.

The invention discloses a laboratory appointment scheduling method and system, and relates to the technical field of laboratory management, and the method comprises the following steps: S1, generating an ordered list of an adaptive laboratory for each project through hard constraint screening and soft constraint scoring according to the attribute information of an experiment project and the resource configuration information of the laboratory; s2, according to the project attribute information and the historical project data, calculating the dynamic buffer time and the scheduling reference duration of the project through a prediction model; s3, generating a candidate scheduling scheme set through a CP-NSGA-III hybrid adaptive optimization algorithm according to the ordered list of the project adaptation laboratory and the scheduling reference duration; and S4, according to the candidate scheduling scheme set and the optimized target numerical value thereof, receiving a scheduling reservation request of a user, recalculating and updating the scheduling of the affected project, and generating an optimal scheduling scheme.

The invention discloses an intelligent laboratory management method and system based on the Internet of Things, and relates to the technical field of laboratory intelligent management, and the method comprises the following steps: S001, collecting continuous current data and voltage data at a multi-device power switching moment in an experiment region, expanding the current data and the voltage data according to a time sequence, and storing the current data and the voltage data in a database; and marking a power cut-in stage and a power cut-out stage of each device on the expanded time axis, and generating a power switching contour band on the complete time axis. According to the method, a time perception and disturbance absorption mechanism is constructed, power dislocation data are effectively identified and rearranged, short-time peaks are prevented from being misjudged to be abnormal, a power-off protection chain is prevented from being mistakenly triggered, and the energy consumption management precision and the stability and safety of the experiment process under the multi-device parallel experiment are improved.

The invention relates to the technical field of laboratory management systems, in particular to a medical laboratory reagent consumable warehousing management method and system. The method comprises the steps that under the condition that reagent consumables are prepared to be put in storage, a storage form is obtained and recognized, and a first affiliation category and a second affiliation category of the reagent consumables are determined; the first affiliation category is divided based on the use mode; the second affiliation category is divided based on use departments; determining an acceptance mode according to the first affiliation category, and calling a corresponding acceptance item form based on the acceptance mode; according to the second affiliation category, synchronizing the acceptance item form to a use department corresponding to the public end and initiating an acceptance flow; in response to completion of project acceptance in the acceptance project form in each use department, marking an acceptance result, an acceptance personnel name and a warehousing management personnel name at a corresponding project of the public end; the problem that the storage management efficiency of reagent consumables is low can be effectively solved.