Multi-modal data integrated laboratory information management system

Abstract

The invention provides a multi-modal data integrated laboratory information management system, which is characterized in that data information of each operation device is acquired according to a data acquisition mode corresponding to each operation device in a laboratory; performing cleaning and format conversion on the data information to obtain modal data, and integrating the modal data into a data model and storing the modal data; determining a current to-be-executed experimental process template and target modal data corresponding to each target operation device corresponding to the experimental process template, importing each target modal data into the experimental process template, dynamically formulating experimental steps based on the data of each target modal data, and executing the experimental steps to obtain an experimental result. According to the system provided by the invention, the multi-modal data in the laboratory information management system are effectively integrated, the experimental results are obtained by combining the modal data with the to-be-executed experimental process template, formulating the experimental steps and executing the experimental steps, and the utilization rate of the multi-modal data in the laboratory information management system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory information management, and in particular to a laboratory information management system integrating multimodal data. Background Art

[0002] With the rapid development of science and technology, the types of data generated by laboratory research are becoming increasingly diverse, including but not limited to images, videos, texts, sensor data, etc. These multimodal data are of great significance for the in-depth analysis and process formulation of laboratory work.

[0003] At present, most existing laboratory information management systems only monitor or store data, resulting in serious data silos and an inability to effectively integrate data from various modalities for the test process. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a laboratory information management system with multimodal data integration, which effectively integrates the various modal data in the laboratory to complete the experimental process and improves the utilization rate of the multimodal data in the laboratory information management system.

[0005] A laboratory information management system for multimodal data integration, comprising:

[0006] A multimodal data acquisition module, used to collect data information of each operating device in the laboratory according to the data acquisition mode corresponding to each operating device;

[0007] A data integration module, used to clean each of the collected data information, and convert the format of each of the cleaned data information according to the defined conversion rules, obtain the modal data corresponding to each of the data information, and integrate each of the modal data into the established data model using a preset data integration mode;

[0008] A data storage module, used to store each modality data in the data model using a distributed database or a cloud storage server;

[0009] The data analysis module is used to determine the experimental process template to be executed and the target operating devices corresponding to the experimental process template, and obtain the target modal data corresponding to each target operating device in the data storage module, and import each target modal data into the experimental process template, dynamically formulate experimental steps in the experimental process template based on the data of each target modal data, and execute the experimental steps to obtain experimental results.

[0010] The above-mentioned multimodal data integrated laboratory information management system, optionally, the multimodal data acquisition module includes:

[0011] A mode determination submodule, used to determine the device type of each of the running devices, and determine the data collection mode corresponding to the running device as a real-time collection mode or an offline collection mode according to the device type of the running device;

[0012] The collection submodule is used to collect data information of the running device in real time if it is determined that the data collection mode corresponding to the running device is the real-time collection mode, and to obtain offline data information of the running device if it is determined that the data collection mode corresponding to the running device is the offline collection mode.

[0013] The above-mentioned multimodal data integrated laboratory information management system, optionally, the data integration module includes:

[0014] The conversion submodule is used to determine the information mode of each of the data information, and based on the information mode of each of the data information, select a corresponding conversion rule to convert the format of the data information to obtain the modal data corresponding to each of the data information.

[0015] The above-mentioned multimodal data integrated laboratory information management system, optionally, the data analysis module includes:

[0016] A formulation submodule, used for importing each of the target modal data into a corresponding template position in the experimental process template, and formulating each experimental step for the experimental process template based on the data dynamics of each of the target modal data at each template position;

[0017] The execution submodule is used to execute each of the experimental steps, and compare the experimental data generated by the experimental step currently in execution with the historical experimental data, to determine the optimized experimental plan, so as to optimize the subsequent experimental steps of the experimental step currently in execution, until all the experimental steps are executed and the experimental results are obtained.

[0018] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0019] The resource optimization module is used to optimize each target operating device corresponding to the experimental process template according to the experimental results and the experimental data generated by executing each of the experimental steps.

[0020] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0021] The interface interaction module is used to display the interactive interface of the laboratory information management system to the user, provide the user with corresponding access rights according to the user's role setting, and receive the setting information input by the user during the user's access to the laboratory information management system.

[0022] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0023] A desensitization module, used for desensitizing sensitive words in the experimental results;

[0024] A data transmission module is used to transmit the desensitized experimental results to the interface interaction module.

[0025] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0026] The early warning module is used to monitor in real time whether the execution process of the experimental steps complies with the experimental procedures during the execution of the experimental steps, and output warning information if it does not comply with the experimental procedures.

[0027] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0028] The data encryption module is characterized by encrypting the desensitized experimental results transmitted by the data transmission module to the interactive interface module.

[0029] The above-mentioned multimodal data integrated laboratory information management system may optionally further include:

[0030] The application interface module is used to connect with a third-party application and call the third-party application during the experiment.

[0031] Compared with the prior art, the present invention has the following advantages:

[0032] The present invention provides a laboratory information management system for multimodal data integration, comprising: a multimodal data acquisition module, which is used to collect data information of each operating device in the laboratory according to the data acquisition mode corresponding to each operating device; a data integration module, which is used to clean the collected data information, and according to the defined conversion rules, convert the format of each cleaned data information to obtain the modal data corresponding to each data information, and integrate each modal data into the established data model by using a preset data integration mode; a data storage module, which is used to store each modal data in the data model by using a distributed database or a cloud storage server; a data analysis module, which is used to determine the current experimental process template to be executed and each target operating device corresponding to the experimental process template, and obtain the target modal data corresponding to each target operating device in the data storage module, and import each target modal data into the experimental process template, and dynamically formulate experimental steps based on the data of each target modal data in the experimental process template, and execute the experimental steps to obtain experimental results. The multimodal data integrated laboratory information management system provided by the present invention effectively integrates the multimodal data in the laboratory information management system, and combines each modal data with the experimental process template to be executed, formulates experimental steps, and executes each experimental step to obtain experimental results, thereby effectively improving the utilization rate of multimodal data in the laboratory information management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 A system structure diagram of a multimodal data integrated laboratory information management system provided by the present invention;

[0035] Figure 2 Another system structure diagram of a multimodal data integrated laboratory information management system provided by the present invention;

[0036] Figure 3 Another system structure diagram of a multimodal data integrated laboratory information management system provided by the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] The present invention can be used in many general or special computing device environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multi-processor devices, distributed computing environments including any of the above devices or devices, etc.

[0039] The embodiment of the present invention provides a laboratory information management system with multimodal data integration. The laboratory information management system with multimodal data integration can be applied in various laboratory platforms to integrate and apply the modal data generated by various operating equipment in the laboratory, thereby realizing unified management and efficient use of multimodal data. The system supports data collection, storage, processing, analysis and visualization, and provides comprehensive data support for laboratory managers and scientific researchers. The execution subject of the laboratory information management system with multimodal data integration can be a processor set in the laboratory information management system, and its structural diagram is shown in FIG. Figure 1 As shown, including:

[0040] The multimodal data collection module 101 is used to collect data information of each operating device in the laboratory according to the data collection mode corresponding to each operating device;

[0041] In the experimental scenario applied by the system provided by the embodiment of the present invention, multiple operating devices are arranged in the laboratory, which may specifically include microscopes, spectrometers, mass spectrometers, various sensors, surveillance cameras, audio equipment, etc. The data information generated by the above-mentioned operating devices includes data information in multiple modalities such as text, images, videos, audios, and sensor data. The system provided by the embodiment of the present invention sets corresponding data acquisition modes for each operating device according to the modalities of the data information generated by the above-mentioned multiple operating devices. When the laboratory enters the experimental cycle, the multimodal data acquisition module 101 in the system provided by the embodiment of the present invention collects the data information generated by each operating device according to the data acquisition mode corresponding to each operating device.

[0042] The data integration module 102 is used to clean the collected data information, and convert the format of the cleaned data information according to the defined conversion rules, obtain the modal data corresponding to each data information, and integrate the modal data into the established data model using a preset data integration mode;

[0043] In the system provided by the embodiment of the present invention, the data integration module 102 cleans the various data information that has been collected by the multimodal data acquisition module 101 to remove irrelevant data in the data information that does not participate in the experimental process. The system provided by the embodiment of the present invention is provided with corresponding conversion rules for the data information of each modality. In the actual operation process, the same conversion rule can also be set for the data information of each modality, and the format of each cleaned data information is converted to obtain the modal data corresponding to each data information. The data format of each modal data obtained can be a unified data format applied to the experimental process, or it can be a data format suitable for the experimental process and each modal data. At the same time, the set data integration mode is adopted to integrate each modal data into the established data model. The data model can be a data integration model that is pre-trained by a neural network and is suitable for the experimental process in the laboratory. The modal data is the data obtained after each data information is converted in format.

[0044] A data storage module 103 is used to store each modality data in the data model using a distributed database or a cloud storage server;

[0045] In the system provided by the embodiment of the present invention, a data storage module 103 is provided. The data storage module 103 uses a distributed database or a cloud storage server to store each modal data in the data model. The specific selection of the distributed database or cloud storage server is made according to the actual needs of the experimental process.

[0046] The data analysis module 104 is used to determine the experimental process template to be executed and the target operating devices corresponding to the experimental process template, and obtain the target modal data corresponding to each target operating device in the data storage module, and import each target modal data into the experimental process template, dynamically formulate experimental steps in the experimental process template based on the data of each target modal data, and execute the experimental steps to obtain experimental results.

[0047] In the system provided by the embodiment of the present invention, the user can set the experimental process template according to the experimental needs, or the system can set the corresponding experimental process template according to the historical experimental needs. In the actual experimental process, the operating equipment required to participate in each experimental process template may be different. The operating equipment required to participate in each experimental process template is set as the target operating equipment, and the modal data corresponding to the target operating equipment during the experiment is defined as the target modal data. Each target modal data is imported into the experimental process template, and the experimental steps are dynamically formulated based on the data of each target modal data in the experimental process template, the experimental steps are executed, and the experimental results are obtained.

[0048] The data dynamics of the target modal data can be specifically understood as the data dynamics corresponding to the data information corresponding to each target modal data when it is collected, including the experimental data when the data information is collected, the collection time, and the dynamic information such as the progress of the experimental environment.

[0049] The system provided by the embodiment of the present invention is applied to effectively integrate the multimodal data in the laboratory information management system, and combine each modal data with the experimental process template to be executed, formulate experimental steps, and execute each experimental step to obtain experimental results, thereby effectively improving the utilization rate of multimodal data in the laboratory information management system.

[0050] refer to Figure 2 Another structural diagram of a multimodal data integrated laboratory information management system provided by an embodiment of the present invention is shown. Specifically, in the multimodal data integrated laboratory information management system, the multimodal data acquisition module 101 includes:

[0051] The mode determination submodule 105 is used to determine the device type of each of the running devices, and determine the data collection mode corresponding to the running device as a real-time collection mode or an offline collection mode according to the device type of the running device;

[0052] In the actual application process of the system provided by the embodiment of the present invention, a mode determination submodule 105 is provided in the multimodal data acquisition module 101. The mode determination submodule determines the data acquisition mode corresponding to each running device according to the device type of each running device. The corresponding acquisition mode can be a real-time acquisition mode or an offline acquisition mode. In the actual application process, the working modes of different types of running devices are different, so the timeliness of the generated data information is also different. According to the needs of the experimental process, the data acquisition modes corresponding to different running devices can be divided into real-time acquisition or offline acquisition.

[0053] The collection submodule 106 is used to collect data information of the running device in real time if it is determined that the data collection mode corresponding to the running device is the real-time collection mode, and to obtain offline data information of the running device if it is determined that the data collection mode corresponding to the running device is the offline collection mode.

[0054] In the system provided by the embodiment of the present invention, the acquisition submodule 106 performs real-time acquisition of data information of the running device when the mode determination submodule 105 determines that the data acquisition mode of the running device is the real-time acquisition mode. If the data acquisition mode corresponding to the running device is the offline acquisition mode, then when data information acquisition is required, the offline file corresponding to the running device is obtained, and the offline data information of the running device is obtained through the offline file.

[0055] The data integration module 102 includes:

[0056] The conversion submodule 107 is used to determine the information modality of each of the data information, and based on the information modality of each of the data information, select a corresponding conversion rule to perform format conversion on the data information to obtain modality data corresponding to each of the data information.

[0057] In an embodiment of the present invention, each data information has its own information modality. For example, if the data information is text data or video data, different information modalities of the data information correspond to different conversion rules. The data information is format converted according to the corresponding conversion rules to obtain the modal data corresponding to the data information.

[0058] The data analysis module 104 includes:

[0059] A formulation submodule 108, for importing each of the target modality data into a corresponding template position in the experimental process template, and formulating each experimental step for the experimental process template based on the data dynamics of each of the target modality data at each template position;

[0060] In an embodiment of the present invention, a formulation submodule 108 is provided in the data analysis module 104, and multiple template positions are set in the experimental process template. Different template positions correspond to different modal data of the experimental process to be executed, and there is an execution relationship of modal data between each template position. By importing the target modal data at each template position and connecting each template position in series, each experimental step for the experimental process template is formulated.

[0061] The execution submodule 109 is used to execute each of the experimental steps, and compare the experimental data generated by the experimental step currently in execution with the historical experimental data, to determine the optimized experimental plan, so as to optimize the subsequent experimental steps of the experimental step currently in execution, until all the experimental steps are executed and the experimental results are obtained.

[0062] During the execution of each experimental step, in the system provided by the embodiment of the present invention, the execution submodule 109 can compare the experimental data generated by the current experimental execution process with the historical experimental data, and optimize the subsequent experimental steps to ensure that the entire experimental process is more optimized until the experimental results are obtained.

[0063] refer to Figure 3 , shows another structural schematic diagram of a laboratory information management system for multimodal data integration provided by an embodiment of the present invention. Specifically, the system further includes:

[0064] The resource optimization module 110 is used to optimize each target operating device corresponding to the experimental process template according to the experimental results and the experimental data generated by executing each of the experimental steps.

[0065] In the system provided in the embodiment of the present application, the resource optimization module 110 optimizes each target operating device corresponding to the experimental process mode according to the experimental results and the experimental data generated by executing each experimental step, and determines whether to increase or decrease the target optimization devices corresponding to the experimental process template during the experimental execution.

[0066] The interface interaction module 111 is used to display the interactive interface of the laboratory information management system to the user, provide the user with corresponding access rights according to the user's role setting, and receive setting information input by the user during the user's access to the laboratory information management system.

[0067] In the system provided in the embodiment of the present application, the interface interaction module 111 can provide the user with a visualization interface and a corresponding login interface, etc. The user can view experimental data and perform identity authentication and other operations in the interface interaction module 111.

[0068] A desensitization module 112, used for desensitizing sensitive words in the experimental results;

[0069] The data transmission module 113 is used to transmit the desensitized experimental results to the interface interaction module.

[0070] The early warning module 114 is used to monitor in real time whether the execution process of the experimental steps complies with the experimental procedures during the execution of the experimental steps, and output a warning message if it does not comply with the experimental procedures.

[0071] The data encryption module 115 is characterized by encrypting the desensitized experimental results transmitted from the data transmission module to the interactive interface module.

[0072] The application interface module 116 is used to connect with a third-party application and call the third-party application during the experiment.

[0073] The embodiment of the present invention provides a laboratory information management system for multimodal data integration. In actual application, the collected multimodal data can be pre-processed by cleaning, denoising, format conversion and other pre-processing operations to ensure data quality.

[0074] For the collected data information, data integration technology (such as middleware mode) is used to integrate data information from different sources and in different formats into a unified data model. By defining data interfaces and conversion rules, seamless integration of multimodal data can be achieved.

[0075] The multimodal data integrated laboratory information management system provided by the embodiment of the present invention supports the planning, execution, recording and reporting of experimental activities in actual application. Users can record experimental steps, data, results and conclusions in the system for subsequent review and analysis.

[0076] At the same time, the system provides functions such as equipment information management, reservation, usage record and maintenance. It supports real-time monitoring of equipment status and fault warning. It also manages various test works in the laboratory, including project planning, progress tracking, resource allocation and results display.

[0077] Provides a wealth of data analysis tools and visualization charts to help users quickly mine data value and discover potential patterns.

[0078] In the system provided by the embodiment of the present invention, a GUI interface can be embedded, and a plurality of operating systems and device accesses can be supported by designing an intuitive and easy-to-use user interface. Different access rights can be set according to user roles and responsibilities to ensure data security. At the same time, a mobile application version can be further developed for the system to facilitate users to manage and operate data anytime and anywhere.

[0079] In the system provided by the embodiment of the present invention, the multimodal data integration technology involved may specifically be middleware mode, data warehouse and other technologies to achieve the integration and unified management of multi-source heterogeneous data.

[0080] Use deep learning algorithms to intelligently analyze and identify images, videos and other data to improve the accuracy and efficiency of data processing.

[0081] Cloud computing and big data technologies are used to improve the scalability and processing capabilities of the system, and to support efficient storage and analysis of large-scale data.

[0082] The multimodal data integrated laboratory information management system provided by the embodiment of the present invention is an important means to improve laboratory management level and scientific research efficiency. By integrating multimodal data sources, adopting advanced data processing and analysis technologies, and providing an intuitive and easy-to-use user interface and interactive mode, the system will provide comprehensive and efficient data support and management services for laboratory managers and scientific researchers.

[0083] The experimental process template provided in the embodiment of the present invention provides a customizable experimental process template, and the user can select or customize the process template according to the experimental requirements.

[0084] Furthermore, robotics and automation equipment can be integrated to automatically execute experimental steps according to preset experimental processes, reducing human errors and improving experimental efficiency.

[0085] Monitor the execution of the experimental process in real time, including equipment status, experimental progress and abnormal situations, to ensure the smooth progress of the experiment.

[0086] The system provided by the embodiment of the present invention can provide intelligent data analysis suggestions and experimental scheme optimization suggestions based on historical experimental data and current experimental progress. According to the real-time status of laboratory resources (such as equipment, reagents, and manpower) and experimental requirements, resource allocation is automatically optimized to improve resource utilization. Through data analysis, risks and problems that may arise during the experiment are predicted, and early warnings and countermeasures are given in advance.

[0087] The system provided by the embodiment of the present invention can be integrated with the ERP (Enterprise Resource Planning) or CRM (Customer Relationship Management) system of an enterprise to achieve seamless connection between experimental data and the enterprise management system.

[0088] Supports integration with other third-party applications (such as data analysis software, project management tools, etc.) to expand system functionality and flexibility.

[0089] The system provided by the embodiment of the present invention optimizes the mobile application version, and supports users to access the system, view data and perform simple operations anytime and anywhere through mobile devices such as mobile phones and tablets.

[0090] Supports remote collaboration function, users can remotely access laboratory equipment, monitor experimental progress and communicate with other members in real time.

[0091] The system provided by the embodiment of the present invention can automatically send progress reminders to relevant personnel according to the experimental plan to ensure that the experiment is completed on time.

[0092] Based on the equipment's usage records and maintenance cycles, managers are automatically reminded to perform equipment maintenance.

[0093] Monitor laboratory inventory in real time and automatically send replenishment reminders when reagents, consumables and other materials are lower than the safety stock.

[0094] Integrated environmental monitoring sensors (such as temperature, humidity, gas concentration, etc.) will immediately send safety warning notifications when environmental parameters exceed the safe range.

[0095] The system provided in the embodiment of the present invention provides automated scripts or tools for repetitive data processing tasks, such as data cleaning, format conversion, statistical analysis, etc., to reduce manual intervention.

[0096] Improve data quality by using machine learning algorithms to automatically detect outliers or unusual patterns in experimental data.

[0097] Encryption protocols such as SSL / TLS are used to encrypt the data transmission process to ensure that the data is not eavesdropped or tampered with during transmission.

[0098] Encrypt sensitive data stored in the system, including experimental data, user information, device information, etc., to prevent illegal access to the data during storage.

[0099] Use multi-factor authentication mechanisms, such as username and password, fingerprint recognition, dynamic verification code, etc., to ensure that only legitimate users can access the system.

[0100] Assign different access rights based on user roles and responsibilities to ensure that users can only access data within their authority scope.

[0101] Record user login, operation, data access and other behaviors, and generate detailed audit logs to trace and monitor user activities.

[0102] The system provided by the embodiment of the present invention can set a regular automatic backup plan to regularly back up system data and files to prevent data loss.

[0103] Develop a disaster recovery plan to ensure that data and services can be quickly restored in the event of system failure or data loss.

[0104] The system provided by the embodiment of the present invention can perform desensitization processing on sensitive data, such as replacing, deleting or encrypting sensitive information, to reduce the risk of data leakage.

[0105] Anonymization: Anonymize data before sharing or publishing to ensure personal privacy and data security.

[0106] The system provided by the embodiment of the present invention supports integration with external systems such as third-party data analysis tools and machine learning platforms to expand analysis capabilities and application scope.

[0107] Provides an API interface, allowing users to customize scripts or applications to interact with the system, enabling more flexible data processing and analysis.

[0108] Specific application: In chemical laboratories, a large amount of spectral data is generated every day, which may contain abnormal values ​​caused by noise, baseline drift, and instrument failure. Through the automated data preprocessing function of LIMS, the system can automatically perform the following operations:

[0109] Noise removal: Use digital filtering algorithms (such as smoothing filtering, median filtering, etc.) to automatically remove noise from spectral data.

[0110] Baseline correction: Automatically identify and adjust the spectral baseline to ensure data consistency and accuracy.

[0111] Outlier detection: Automatically detect and mark outliers based on statistical methods (such as threshold method, cluster analysis, etc.) for subsequent processing or elimination.

[0112] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0113] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0114] For the convenience of description, the above device is described as being divided into various units according to their functions. Of course, when implementing the present invention, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0115] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention or certain parts of the embodiments.

[0116] The above is a detailed introduction to a multimodal data integrated laboratory information management system provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A laboratory information management system for multimodal data integration, characterized in that: include: A multimodal data acquisition module, used to collect data information of each operating device in the laboratory according to the data acquisition mode corresponding to each operating device; A data integration module, used to clean each of the collected data information, and convert the format of each of the cleaned data information according to the defined conversion rules, obtain the modal data corresponding to each of the data information, and integrate each of the modal data into the established data model using a preset data integration mode; A data storage module, used to store each modality data in the data model using a distributed database or a cloud storage server; The data analysis module is used to determine the experimental process template to be executed and the target operating devices corresponding to the experimental process template, and obtain the target modal data corresponding to each target operating device in the data storage module, and import each target modal data into the experimental process template, dynamically formulate experimental steps in the experimental process template based on the data of each target modal data, and execute the experimental steps to obtain experimental results.

2. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: The multimodal data acquisition module includes: A mode determination submodule, used to determine the device type of each of the running devices, and determine the data collection mode corresponding to the running device as a real-time collection mode or an offline collection mode according to the device type of the running device; The collection submodule is used to collect data information of the running device in real time if it is determined that the data collection mode corresponding to the running device is the real-time collection mode, and to obtain offline data information of the running device if it is determined that the data collection mode corresponding to the running device is the offline collection mode.

3. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: The data integration module comprises: The conversion submodule is used to determine the information mode of each of the data information, and based on the information mode of each of the data information, select a corresponding conversion rule to convert the format of the data information to obtain the modal data corresponding to each of the data information.

4. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: The data analysis module comprises: A formulation submodule, used for importing each of the target modal data into a corresponding template position in the experimental process template, and formulating each experimental step for the experimental process template based on the data dynamics of each of the target modal data at each template position; The execution submodule is used to execute each of the experimental steps, and compare the experimental data generated by the experimental step currently in execution with the historical experimental data, to determine the optimized experimental plan, so as to optimize the subsequent experimental steps of the experimental step currently in execution, until all the experimental steps are executed and the experimental results are obtained.

5. The multimodal data integrated laboratory information management system according to claim 1 or 4, characterized in that: Also includes: The resource optimization module is used to optimize each target operating device corresponding to the experimental process template according to the experimental results and the experimental data generated by executing each of the experimental steps.

6. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: Also includes: The interface interaction module is used to display the interactive interface of the laboratory information management system to the user, provide the user with corresponding access rights according to the user's role setting, and receive the setting information input by the user during the user's access to the laboratory information management system.

7. The multimodal data integrated laboratory information management system according to claim 6, characterized in that: Also includes: A desensitization module, used for desensitizing sensitive words in the experimental results; A data transmission module is used to transmit the desensitized experimental results to the interface interaction module.

8. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: Also includes: The early warning module is used to monitor in real time whether the execution process of the experimental steps complies with the experimental procedures during the execution of the experimental steps, and output warning information if it does not comply with the experimental procedures.

9. The multimodal data integrated laboratory information management system according to claim 7, characterized in that: Also includes: The data encryption module is characterized by encrypting the desensitized experimental results transmitted by the data transmission module to the interactive interface module.

10. The multimodal data integrated laboratory information management system according to claim 1, characterized in that: Also includes: The application interface module is used to connect with a third-party application and call the third-party application during the experiment.

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