CN115860684A - Management system based on digital twins - Google Patents
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- CN115860684A CN115860684A CN202211665691.8A CN202211665691A CN115860684A CN 115860684 A CN115860684 A CN 115860684A CN 202211665691 A CN202211665691 A CN 202211665691A CN 115860684 A CN115860684 A CN 115860684A
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Abstract
The invention provides a management system based on digital twins, which comprises a model management module, a data acquisition module, a data processing module and a large-screen display module, wherein the model management module is used for acquiring a plurality of data; the system comprises a model management module, a data acquisition module and a data transmission module, wherein the model management module is used for constructing a digital twin model according to laboratory management elements and completing configuration of dynamic parameters of the digital twin model and association of the dynamic parameters and the data acquisition module; the data acquisition module is used for acquiring monitoring data and transmitting the monitoring data to the data processing module; the data processing module is used for integrating the acquired monitoring data into the digital twin model to update the digital twin model; carrying out intelligent analysis processing according to the acquired monitoring data to obtain an intelligent analysis result, and integrating the intelligent analysis result into the digital twin model; and the large-screen display module is used for displaying the digital twin model and the intelligent analysis result on a large screen. The invention is beneficial to improving the real-time performance and reliability of laboratory management and improving the management effect of the laboratory.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a management system based on digital twinning.
Background
The laboratory is used as a special scientific research place, and has higher standards for monitoring personnel, environment, materials and the like in the laboratory so as to ensure the safety and reliability of development of laboratory scientific research projects.
At present, monitoring management of a laboratory is mostly performed in a traditional patrol monitoring mode, that is, a special patrol worker is arranged to record and monitor information such as laboratory equipment, environment, personnel, materials and the like in a specified time. However, the real-time level of the method for monitoring the laboratory through manual patrol is insufficient, so that abnormal conditions cannot be found at the first time, and potential safety hazards of laboratory monitoring exist; meanwhile, by means of manual data recording, aggregation management cannot be performed on different monitoring data, and data management level is low.
Disclosure of Invention
Aiming at the technical problems that the laboratory is monitored and managed through manual inspection, the real-time performance level is insufficient and the data management level is insufficient, the invention aims to provide a management system based on digital twin.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a management system based on digital twins, which comprises a model management module, a data acquisition module, a data processing module and a large-screen display module, wherein the model management module is used for acquiring a plurality of data; wherein the content of the first and second substances,
the model management module is used for constructing a digital twin model according to laboratory management elements and completing configuration of dynamic parameters of the digital twin model and association of the dynamic parameters and the data acquisition module, wherein the laboratory management elements comprise laboratory basic information and supply chain information, and the dynamic parameters comprise laboratory monitoring parameters and supply chain monitoring parameters;
the data acquisition module is used for acquiring monitoring data and transmitting the monitoring data to the data processing module, wherein the monitoring data comprises laboratory monitoring data and supply chain monitoring data;
the data processing module is used for integrating the acquired monitoring data into the digital twin model to update the digital twin model; carrying out intelligent analysis processing according to the acquired monitoring data to obtain an intelligent analysis result, and integrating the intelligent analysis result into the digital twin model;
and the large-screen display module is used for displaying the digital twin model and the intelligent analysis result on a large screen.
In one embodiment, the system further comprises a database module;
the database module is respectively connected with the model management module, the data acquisition module and the data processing module and is used for carrying out classified storage management on the digital twin model, the monitoring data and the analysis result corresponding to each laboratory to construct a laboratory management database.
In one embodiment, the system further comprises a control module;
and the control module is used for sending a corresponding control instruction to corresponding laboratory equipment according to the abnormal information when the laboratory abnormality analysis result and/or the laboratory abnormality early warning result obtained by the data processing module are abnormal.
In one embodiment, the model management module comprises a model construction unit and a model configuration unit; wherein the content of the first and second substances,
the model construction unit is used for constructing a digital twinborn model according to laboratory basic information and performing space division on the digital twinborn model according to laboratory structure information, wherein the laboratory basic information comprises laboratory structure information;
the model configuration unit is used for configuring corresponding laboratory monitoring parameters for the digital twin model and associating the laboratory monitoring parameters with a laboratory acquisition unit of the data acquisition module; and the system is used for configuring corresponding supply chain monitoring parameters, integrating the supply chain monitoring parameters into the digital twin model and associating the supply chain monitoring parameters with a supply chain management unit of the data acquisition module.
In one embodiment, the data collection module includes a laboratory collection unit and a supply chain management unit; wherein the content of the first and second substances,
the laboratory acquisition unit comprises a personnel monitoring unit, an environment monitoring unit, an equipment monitoring unit and an intelligent gateway unit; wherein the content of the first and second substances,
the personnel monitoring unit is used for acquiring personnel information in the laboratory, and the personnel monitoring unit acquires personnel identity information and personnel positioning information in the laboratory through intelligent access control equipment;
the environment monitoring unit is used for acquiring environment monitoring data of each area in the laboratory, wherein the environment monitoring data comprises temperature, humidity, pH value, oxygen concentration data and sewage microorganism data;
the equipment monitoring unit is used for acquiring running state data of each piece of equipment in the laboratory, wherein the equipment comprises sewage treatment equipment, sterilization equipment, air conditioning equipment, a fresh air system, safety indicating equipment and a biological cabinet;
the intelligent gateway unit is respectively connected with the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit and is used for transmitting the laboratory monitoring data acquired by the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit to the data processing module;
the supply chain management unit comprises a material transportation tracking unit and an inventory management unit; wherein the content of the first and second substances,
the material transportation tracking unit is used for acquiring logistics information and storage information of the material in the transportation process and transmitting the acquired logistics information and storage information to the data processing module, and comprises real-time logistics data of the material obtained from the logistics management system and storage data of the material in the transportation process obtained from the logistics monitoring system, wherein the storage data comprises real-time environment monitoring data of the material in the transportation process;
the inventory management unit is used for collecting material inventory information in the laboratory and transmitting the material inventory information to the data processing module, wherein the material inventory information comprises the storage position, the use details and the residual inventory of each material.
In one embodiment, the laboratory acquisition unit further comprises a video monitoring unit;
the video monitoring unit is used for collecting video monitoring data of each area in the laboratory, transmitting the collected video monitoring data to the data processing module, and integrating the obtained video monitoring data into the digital twin model by the data processing module.
In one embodiment, a laboratory acquisition unit includes a field acquisition unit and an edge processing unit;
the field acquisition unit is used for acquiring laboratory monitoring data and transmitting the acquired laboratory monitoring data to the edge processing unit;
the edge processing unit is used for preprocessing the acquired laboratory monitoring data to obtain preprocessed laboratory monitoring data and transmitting the preprocessed laboratory monitoring data to the processing module.
Through the arrangement of the edge processing unit, the pressure of the data processing module on data receiving and data processing of a large amount of laboratory monitoring data is effectively shared and reduced, the condition that the updating of the digital twin model is invalid due to overhigh load of the data processing module is avoided, and the reliability of data acquisition and data processing of a digital twin system is improved.
The field acquisition unit comprises a data acquisition node and a base station node which are arranged in a laboratory;
the data acquisition node is used for acquiring laboratory monitoring data and transmitting the acquired laboratory monitoring data to the base station node;
the base station nodes are respectively in communication connection with the data acquisition nodes and used for transmitting the laboratory monitoring data to the edge processing unit after the laboratory monitoring data transmitted by the data acquisition nodes are gathered.
The plurality of data acquisition nodes are arranged in the laboratory to acquire corresponding laboratory monitoring data, so that the flexibility of arrangement of the monitoring nodes is improved, and meanwhile, the monitoring data are uniformly transmitted to the edge computing unit through the local base station nodes, so that the quality and the performance of data transmission are improved.
In one embodiment, the data acquisition node comprises a personnel monitoring unit, an environment monitoring unit, an equipment monitoring unit and an intelligent gateway unit; wherein, the first and the second end of the pipe are connected with each other,
the personnel monitoring unit is used for acquiring personnel information in the laboratory, and the personnel monitoring unit acquires personnel identity information and personnel positioning information in the laboratory through intelligent access control equipment;
the environment monitoring unit is used for acquiring environment monitoring data of each area in the laboratory, wherein the environment monitoring data comprises temperature, humidity, pH value, oxygen concentration data and sewage microorganism data;
the equipment monitoring unit is used for acquiring running state data of each piece of equipment in the laboratory, wherein the equipment comprises sewage treatment equipment, sterilizing equipment, air conditioning equipment, a fresh air system, safety indicating equipment and a biological cabinet.
According to the embodiment of the invention, according to the requirements of laboratory monitoring management, the data acquisition modules are respectively provided with data acquisition nodes for monitoring laboratory personnel, equipment and environment; the comprehensive monitoring system can collect monitoring information of different dimensions such as personnel, equipment, environment and materials in a laboratory in an all-around manner, and the collected monitoring information is integrated into a digital twin model to be displayed, so that the requirements for collecting the monitoring information of the laboratory under different scenes and different management requirements can be met.
In one scenario, the data acquisition nodes can be set according to sensors arranged in a laboratory, monitoring terminals arranged on intelligent equipment and the like; the supply chain management unit can access the data interface (such as through an API interface) of the related logistics system or warehouse management system to obtain the logistics or inventory monitoring data related to the material.
In one embodiment, the data acquisition node further comprises a video monitoring unit, the video monitoring unit is used for acquiring video monitoring data of each area in the laboratory and transmitting the acquired video monitoring data to the edge processing unit through the base station unit,
the edge processing unit also comprises a video preprocessing unit, and the video processing unit is used for preprocessing the acquired video monitoring data and transmitting the preprocessed video monitoring data to the data processing module.
The video monitoring unit is used for collecting video monitoring data of each area in the laboratory, transmitting the collected video monitoring data to the data processing module, and integrating the obtained video monitoring data into the digital twin model by the data processing module.
Wherein, according to video monitoring's demand, still be provided with the video monitoring unit in the laboratory, gather the video monitoring data of the different regions in laboratory through the video monitoring unit in real time, come to carry out comprehensive control to the laboratory through the mode of video monitoring, help improving the reliability of laboratory monitoring management.
In one embodiment, the data collection nodes are connected to the base station nodes in a manner of internet of things or ad hoc network, wherein the data collection nodes transmit collected laboratory monitoring data to the base station nodes in a manner of direct transmission or indirect transmission.
In one embodiment, the data acquisition node retrieves other neighborhood nodes in the direct communication range of the data acquisition node, and when the retrieved base station node is in the direct communication range of the data acquisition node, the data acquisition node transmits the acquired laboratory monitoring data to the base station node in a direct transmission mode;
when the node of the reverse base station is not searched in the direct communication range of the node, the data acquisition node selects a next hop node from other neighborhood nodes in the direct communication range of the data acquisition node in an indirect transmission mode, transmits the laboratory monitoring data acquired by the data acquisition node to the next hop node, and further transmits the laboratory monitoring data to the communication base station by the next hop node.
According to the embodiment of the invention, the data acquisition node can adaptively select a direct or indirect mode to transmit the acquired laboratory monitoring data to the base station node; under the condition of over-long transmission distance, the data acquisition node can firstly transmit the monitoring data to a neighborhood node selected in a self-adaption mode in an indirect transmission mode, and the neighborhood node further completes the transmission work of the monitoring data; the transmission mode of the data acquisition nodes is set in an indirect transmission mode, the data acquisition nodes far away from the base station node are helped to complete transmission of monitoring data, the condition that data loss or communication connection is blocked due to the fact that the data acquisition nodes and the base station node are far away is avoided, and data transmission quality is improved.
In one embodiment, the data acquisition node selects a next hop node from other neighborhood nodes in the direct communication range of the data acquisition node by an indirect transmission mode, transmits the laboratory monitoring data acquired by the data acquisition node to the next hop node, and further transmits the laboratory monitoring data to the communication base station by the next hop node; the method specifically comprises the following steps:
1) The data acquisition node periodically broadcasts hello data packets to other neighborhood nodes in the direct communication range of the data acquisition node, and receives rep data packets replied by the other neighborhood nodes according to the received hello data packets;
2) According to the received rep data packet, the data acquisition node calculates the transmission performance grade of the data acquisition node:
in the formula, P k The method comprises the steps of representing the transmission performance grade of a data acquisition node, representing the distance between the data acquisition node and a base station node by DistP, and calculating according to the self positioning information of the data acquisition node and the pre-stored positioning information of the base station node; the DistR represents the direct communication distance length of the data acquisition node;
representing an assignment function, wherein
NumJ represents the number of neighborhood nodes in the direct communication distance of the data acquisition node, numT represents the set neighborhood node standard value, and NumT belongs to the element of [3.5 ]]，/>
Represents an assignment function, wherein>
TimPN represents the average time of the data acquisition node receiving the previous N rep data packets, and is specifically calculated according to the timestamp information of the sent hello data packet and the received rep data packet, where N = NumT, timT1 represents a set first time standard value, timPA represents the average time of all rep data packets received by the data acquisition node within a set time period, timT2 represents a set second time standard value,
represents an assignment function, wherein>
Represents a valuation function in which &>
Rand represents a random number between 0 and 0.1;
3) The data acquisition node broadcasts the transmission performance level of the data acquisition node, and receives the transmission performance levels broadcast by other neighborhood nodes;
4) The data acquisition nodes are sorted from large to small according to the transmission performance levels of the neighborhood nodes, and when the neighborhood nodes of the top 3 in the sorting exist in the neighborhood nodes with different node types from the data acquisition nodes, the neighborhood node with the maximum transmission performance level is selected from the neighborhood nodes with different node types as a next hop node; and if the node types of the neighborhood nodes in the first 3 are the same as the data acquisition node, selecting the neighborhood node with the maximum transmission performance level as a next hop node.
The node type of the data acquisition node refers to the data type acquired by the data acquisition node, for example, if the two data acquisition nodes are both temperature sensors, the node types of the two data acquisition nodes are the same, and if the two data acquisition nodes are respectively temperature sensors and humidity sensors, the node types of the two data acquisition nodes are different.
The above-mentioned actual mode of the invention provides a technical scheme that a data acquisition node transmits laboratory monitoring data in an indirect transmission mode, wherein when a next hop node is selected, the data acquisition node firstly broadcasts a hello data packet to a self direct communication range and obtains a rep data packet replied by a neighborhood node; according to the obtained rep data packet, the data acquisition node firstly calculates the transmission performance grade of the data acquisition node, wherein an improved transmission performance grade calculation function is provided, the data transmission performance of the data acquisition node can be fed back really and intuitively, the position of the data acquisition node, the density of peripheral nodes and the data transmission performance are particularly taken into consideration as comprehensive judgment standards in the transmission performance grade calculation process, the transmission performance grade is comprehensively calculated by combining an assignment function, the performance level of the data acquisition node as a next hop node can be distinguished according to the transmission performance grade, and a basis is provided for the data acquisition node needing indirect transmission when the next hop performance is selected; after the transmission performance level is calculated, the data acquisition node broadcasts the transmission performance level information of the data acquisition node, receives the transmission performance level broadcasted by the neighborhood node, sorts the transmission performance level according to the transmission performance level of the neighborhood node, and selects the next hop node, thereby being beneficial to improving the overall performance of data transmission. When the next hop node is finally selected, the probability of data errors caused by data interference is considered to be 3 times that of the cooperation of different types of nodes when the same type of data acquisition nodes are used for indirect transmission tasks, so that when the next hop node is finally selected, the consideration of the node type is also considered, and the data transmission performance is further improved.
In one embodiment, the data processing module comprises a data acquisition unit, a data governance unit, a laboratory analysis unit, an early warning unit and a supply chain analysis unit; wherein the content of the first and second substances,
the data acquisition unit is used for establishing communication connection with the data acquisition module and receiving the monitoring data transmitted by the data acquisition unit;
the data management unit is used for performing data management on the acquired monitoring data, and comprises data cleaning and standardization processing to obtain the monitoring data after the data management, integrating the monitoring data after the data management into the digital twin model and updating the digital twin model, wherein the data acquisition unit comprises a laboratory acquisition unit and a supply chain management unit;
the laboratory analysis unit is used for analyzing according to real-time laboratory monitoring data, comparing the real-time laboratory monitoring data with corresponding safety standards to obtain real-time laboratory anomaly analysis results, and integrating the laboratory anomaly analysis results into the digital twin model;
the early warning unit is used for carrying out prediction analysis according to the laboratory monitoring data in a period of time to obtain a change prediction result of the laboratory monitoring data, comparing the obtained change prediction result with a corresponding safety standard to obtain a laboratory abnormity early warning result, and integrating the laboratory abnormity early warning result into the digital twin model;
the supply chain analysis unit is used for analyzing according to the real-time supply chain monitoring data, comparing and analyzing the implemented supply chain monitoring data with the corresponding warning standard to obtain a supply chain abnormity analysis result, and integrating the supply chain abnormity analysis result into the digital twin model.
In one embodiment, the data processing module further comprises a video processing unit;
the video processing unit is used for acquiring the video monitoring data transmitted by the video monitoring unit, preprocessing the acquired video monitoring data, integrating the preprocessed video monitoring data into the digital twin model according to the monitoring area corresponding to the video monitoring data, and transmitting the preprocessed video monitoring data into the large-screen display module for display when the large-screen display module sends a calling instruction.
In one embodiment, the large-screen display module comprises a permission management unit and a large-screen display unit;
the authority management unit is used for acquiring user identity information, performing authority verification according to the user identity information, and allowing a user to access the large-screen display unit after the authority passes the elegance;
the large-screen display unit is used for performing large-screen display according to the real-time digital twin model, classifying and displaying laboratory monitoring data, supply chain monitoring data and video monitoring data in the digital twin model according to different laboratory management elements of the digital twin model, performing visual display according to the obtained intelligent analysis result, and displaying corresponding abnormity reminding messages when the intelligent analysis result is abnormal.
In one embodiment, the large screen display module further comprises a video display unit;
the video display unit is used for calling the video monitoring data of the selected laboratory area from the digital twin model according to the video display instruction and displaying the called video monitoring data.
The invention has the beneficial effects that: the method comprises the steps that a digital twin model is built through a model management module according to a laboratory to be managed, dynamic parameters configured in the digital twin model are bound and associated with a data acquisition module corresponding to the laboratory, monitoring data of the laboratory are acquired in real time through the data acquisition module, the acquired monitoring data are mapped into the digital twin model to be displayed, the real-time performance of laboratory data monitoring is improved, meanwhile, the laboratory monitoring data are uniformly integrated into the digital twin model to be displayed, and the management level of the monitoring data is improved; the monitoring data in the digital twin model are analyzed in real time through the data processing module, the laboratory can be comprehensively monitored according to the obtained monitoring data, and warning messages can be sent out at the first time when abnormal conditions occur, so that the intelligent level of laboratory management is improved. The large-screen display module is used for displaying the digital twin model of the laboratory, so that visual classified display can be performed on relevant monitoring data and data analysis results of the laboratory according to management requirements, managers can know all aspects of the laboratory through large-screen display, timely and accurate management decisions are made for the managers, and the management effect of the laboratory is improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of a framework for a digital twin based management system according to an exemplary embodiment of the present invention;
fig. 2 is a block diagram of a data acquisition module and a data processing module according to an exemplary embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to the embodiment of fig. 1, the management system based on the digital twin includes a model management module, a data acquisition module, a data processing module and a large screen display module; wherein the content of the first and second substances,
the model management module is used for constructing a digital twin model according to laboratory management elements and completing configuration of dynamic parameters of the digital twin model and association of the dynamic parameters and the data acquisition module, wherein the laboratory management elements comprise laboratory basic information and supply chain information, and the dynamic parameters comprise laboratory monitoring parameters and supply chain monitoring parameters;
the data acquisition module is used for acquiring monitoring data and transmitting the monitoring data to the data processing module, wherein the monitoring data comprises laboratory monitoring data and supply chain monitoring data;
the data processing module is used for integrating the acquired monitoring data into the digital twin model to update the digital twin model; carrying out intelligent analysis processing according to the acquired monitoring data to obtain an intelligent analysis result, and integrating the intelligent analysis result into the digital twin model;
and the large-screen display module is used for displaying the digital twin model and the intelligent analysis result on a large screen.
According to the embodiment of the invention, the model management module is used for constructing the digital twin model according to the laboratory to be managed, the dynamic parameters configured in the digital twin model are bound and associated with the data acquisition module corresponding to the laboratory, the data acquisition module is used for acquiring the monitoring data of the laboratory in real time, and the acquired monitoring data are mapped into the digital twin model for display, so that the real-time performance of laboratory data monitoring is improved, meanwhile, the laboratory monitoring data are uniformly integrated into the digital twin model for display, and the management level of the monitoring data is also improved; the monitoring data in the digital twin model are analyzed in real time through the data processing module, the laboratory can be comprehensively monitored according to the obtained monitoring data, and warning messages can be sent out at the first time when abnormal conditions occur, so that the intelligent level of laboratory management is improved. The large-screen display module is used for displaying the digital twin model of the laboratory, so that visual classified display can be performed on relevant monitoring data and data analysis results of the laboratory according to management requirements, managers can know all aspects of the laboratory through large-screen display, timely and accurate management decisions are made for the managers, and the management effect of the laboratory is improved.
In one embodiment, the system further comprises a database module;
the database module is respectively connected with the model management module, the data acquisition module and the data processing module and is used for carrying out classified storage management on the digital twin model, the monitoring data and the analysis result corresponding to each laboratory to construct a laboratory management database.
The system is further provided with a database module, a database is built through collected laboratory monitoring data and intelligent analysis results, centralized management is conducted on the data, the data management level is improved beneficially, meanwhile, the built database can also serve as the basis of subsequent data analysis, and the value of data resources is improved.
In one embodiment, the system further comprises a control module;
and the control module is used for sending a corresponding control instruction to corresponding laboratory equipment according to the abnormal information when the laboratory abnormal analysis result and/or the laboratory abnormal early warning result obtained by the data processing module are abnormal.
According to the obtained abnormal analysis result, the system can be provided with a special control module to be remotely connected with related equipment in the laboratory, and remote control of the related equipment is completed according to the abnormal analysis result so as to solve the abnormal condition occurring in the laboratory or avoid the abnormal condition, thereby improving the reliability and the intelligent level of laboratory management.
In one scenario, when the data processing module analyzes that the rising speed of the air humidity in the laboratory material warehouse exceeds a set standard value, an abnormal analysis result of abnormal humidity rise of the boring warehouse is output; the control module generates a control instruction of the fresh air system corresponding to the laboratory boring warehouse according to the obtained abnormal analysis result, so that the corresponding fresh air system can start dehumidifying operation, the condition that the humidity of the material warehouse exceeds the standard is avoided, and the reliability of laboratory material management is improved.
According to the embodiment of the invention, the model management module can be set based on a local intelligent terminal or a cloud server so as to complete the construction of the digital twin model, and the constructed digital twin model is transmitted to the data processing module to be used as the basis for monitoring and managing a laboratory; the data acquisition module is arranged on the basis of local data acquisition equipment arranged in a laboratory, wherein the data acquisition equipment comprises different types of data sensors or intelligent acquisition terminals, and transmits acquired monitoring data to the data processing module in the modes of Internet of things, wireless network communication and the like; the data processing module can be built based on the saas cloud server, and completes the collection, integration and analysis processing of the related data of the digital twin model based on the characteristics of mass storage space and efficient data processing of the cloud server, so that the performance of the digital twin model is improved; the large-screen display module can be built based on the cloud server, a digital twin model is called, comprehensive and visual display of laboratory monitoring data is carried out based on a preset data display interface, a manager can complete comprehensive understanding of laboratory conditions through contents displayed on the large screen conveniently, and real-time performance and convenience of laboratory management are improved.
In one scenario, the system can be used for monitoring and managing a single laboratory and a plurality of laboratories, wherein when the monitoring and managing are carried out on the plurality of laboratories, the system further comprises an upper management module, the upper management module is used for managing basic information of different laboratories, and a corresponding digital twin model is established and set for each laboratory for carrying out respective monitoring and managing, so that the extended requirements of laboratory monitoring and managing in different scenarios are met.
In one embodiment, the model management module comprises a model construction unit and a model configuration unit; wherein the content of the first and second substances,
the model construction unit is used for constructing a digital twinborn model according to laboratory basic information and performing space division on the digital twinborn model according to laboratory structure information, wherein the laboratory basic information comprises laboratory structure information;
the model configuration unit is used for configuring corresponding laboratory monitoring parameters for the digital twin model and associating the laboratory monitoring parameters with a laboratory acquisition unit of the data acquisition module; and the system is used for configuring corresponding supply chain monitoring parameters, integrating the supply chain monitoring parameters into the digital twin model and associating the supply chain monitoring parameters with a supply chain management unit of the data acquisition module.
Wherein the monitoring data comprises laboratory monitoring data and supply chain monitoring data.
According to the embodiment of the invention, when monitoring management needs to be carried out on a certain laboratory, firstly, the digital twin model corresponding to the laboratory is constructed according to the basic information of the laboratory, and the digital twin model is spatially divided according to the actual region division or the structural information of the laboratory, so that each space in the digital twin model can correspond to the actual monitoring region of the laboratory. After a basic digital twin model is constructed, according to the field monitoring equipment actually arranged in a laboratory, corresponding dynamic parameters are set in the digital twin model, and the set dynamic parameters are bound and associated with the field monitoring equipment, so that when a subsequent data processing module acquires data transmitted by the field monitoring equipment, the acquired data can be automatically integrated to the position corresponding to the digital twin model, and the mapping of the laboratory monitoring data in the digital twin model is completed.
According to the method, a digital twin model is divided into areas such as an office, a biochemical laboratory, a material warehouse and a foreground according to the room structure of a laboratory, personnel monitoring data, equipment running state data and environment monitoring data of the areas are integrated in each area of the digital twin model according to the obtained monitoring data, and when the digital twin model is accessed through a large-screen display module and a designated area is selected, the personnel monitoring data, the equipment running state data and the environment monitoring data related to a target area can be displayed.
In one embodiment, referring to fig. 2, the data collection module comprises a laboratory collection unit and a supply chain management unit; wherein the content of the first and second substances,
the laboratory acquisition unit comprises a personnel monitoring unit, an environment monitoring unit, an equipment monitoring unit and an intelligent gateway unit; wherein the content of the first and second substances,
the personnel monitoring unit is used for acquiring personnel information in the laboratory, and the personnel monitoring unit acquires personnel identity information and personnel positioning information in the laboratory through intelligent access control equipment;
the environment monitoring unit is used for acquiring environment monitoring data of each area in the laboratory, wherein the environment monitoring data comprises temperature, humidity, PH value, oxygen concentration data, sewage microorganism data and the like;
the equipment monitoring unit is used for acquiring running state data of each piece of equipment in the laboratory, wherein the equipment comprises sewage treatment equipment, sterilization equipment, air conditioning equipment, a fresh air system, safety indication equipment, a biological cabinet and the like;
the intelligent gateway unit is respectively connected with the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit and is used for transmitting the laboratory monitoring data acquired by the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit to the data processing module;
the supply chain management unit comprises a material transportation tracking unit and an inventory management unit; wherein the content of the first and second substances,
the material transportation tracking unit is used for acquiring logistics information and storage information of the material in the transportation process and transmitting the acquired logistics information and storage information to the data processing module, and the data processing module comprises real-time logistics data of the material acquired from the logistics management system and storage data of the material acquired from the logistics monitoring system in the transportation process, wherein the storage data comprises real-time environment monitoring data of the material in the transportation process;
the inventory management unit is used for collecting material inventory information in the laboratory and transmitting the material inventory information to the data processing module, wherein the material inventory information comprises the storage position, the use details, the residual inventory and the like of each material.
According to the embodiment of the invention, according to the requirements of laboratory monitoring management, the data acquisition module is respectively provided with a laboratory acquisition unit for monitoring laboratory personnel, equipment and environment and a supply chain management unit for monitoring laboratory materials; through the data acquisition module, can carry out the omnidirectional collection to the monitoring information of different dimensions such as personnel, equipment, environment, material in laboratory to the monitoring information who will gather integrates and demonstrates in the digital twin model, can satisfy the demand to laboratory monitoring information collection under different scenes, the different management demands.
In one scenario, the laboratory acquisition unit can be set according to a sensor arranged in a laboratory, a monitoring terminal arranged on intelligent equipment and the like; the supply chain management unit can access the data interface (such as through an API interface) of the related logistics system or warehouse management system to obtain the logistics or inventory monitoring data related to the material.
In one embodiment, the data processing module comprises a data acquisition unit, a data governance unit, a laboratory analysis unit, an early warning unit and a supply chain analysis unit; wherein the content of the first and second substances,
the data acquisition unit is used for establishing communication connection with the data acquisition module and receiving the monitoring data transmitted by the data acquisition unit;
the data management unit is used for performing data management on the acquired monitoring data, and comprises data cleaning and standardization processing to obtain the monitoring data after the data management, integrating the monitoring data after the data management into the digital twin model and updating the digital twin model, wherein the data acquisition unit comprises a laboratory acquisition unit and a supply chain management unit;
the laboratory analysis unit is used for analyzing according to real-time laboratory monitoring data, comparing the real-time laboratory monitoring data with corresponding safety standards to obtain real-time laboratory anomaly analysis results, and integrating the laboratory anomaly analysis results into the digital twin model;
the early warning unit is used for carrying out prediction analysis according to the laboratory monitoring data in a period of time to obtain a change prediction result of the laboratory monitoring data, comparing the obtained change prediction result with a corresponding safety standard to obtain a laboratory abnormity early warning result, and integrating the laboratory abnormity early warning result into the digital twin model;
the supply chain analysis unit is used for analyzing according to the real-time supply chain monitoring data, comparing and analyzing the implemented supply chain monitoring data with the corresponding warning standard to obtain a supply chain abnormity analysis result, and integrating the supply chain abnormity analysis result into the digital twin model.
According to the embodiment of the invention, the data processing module is in communication connection with the data acquisition module through the data acquisition unit, receives the laboratory monitoring data transmitted by the data acquisition module in real time, and firstly performs data management on massive monitoring data through the data management unit after acquiring the monitoring data so as to improve the quality of the monitoring data; the monitored data after treatment is integrated into the digital twin model to update the model, and a foundation is laid for further analysis and processing of different requirements according to the monitored data.
The data processing module is provided with laboratory analysis, monitors and analyzes laboratory monitoring data acquired in real time originally, and sends out a corresponding laboratory abnormity analysis result when the monitoring data exceeds a preset safety standard, for example, when the temperature of a laboratory material warehouse exceeds a preset standard temperature value, the analysis result of the temperature abnormity of the laboratory material warehouse is obtained.
Meanwhile, the data processing module is also provided with an early warning unit, the historical monitoring data is intelligently analyzed and predicted based on a set data analysis model (such as a big data analysis model, an artificial intelligence analysis model and the like), an early warning result is obtained, for example, the remaining life of a certain device in a current laboratory is predicted by carrying out big data analysis according to the running state data of the device, and when the remaining life is lower than a set standard time, a low-life early warning result of the device is sent out.
For the material condition in a laboratory, the data processing module is also provided with a supply chain analysis unit for analyzing according to supply chain monitoring data obtained from the supply chain management unit, and when the supply chain monitoring data is abnormal, a corresponding supply chain abnormal analysis result is sent out, for example, when a certain batch of biochemical materials is detained in the transportation process or the transportation environment does not meet the standard, the batch of materials is marked to be abnormal; or when the residual stock of a certain material is too low, sending out an abnormal supply chain analysis result of the material stock shortage.
The analysis of different monitoring demands is carried out based on the obtained monitoring data, the analysis result is obtained, a manager can be helped to visually know the current laboratory situation according to the analysis result, corresponding management measures are made according to the abnormal analysis result, the intelligent level of laboratory management is helped to be improved, and meanwhile the laboratory management effect is improved.
In one embodiment, the laboratory collection unit further comprises a video monitoring unit;
the video monitoring unit is used for collecting video monitoring data of each area in the laboratory, transmitting the collected video monitoring data to the data processing module, and integrating the obtained video monitoring data into the digital twin model by the data processing module.
Wherein, according to video monitoring's demand, still be provided with the video monitoring unit in the laboratory, gather the video monitoring data of the different regions in laboratory through the video monitoring unit in real time, come to carry out comprehensive control to the laboratory through the mode of video monitoring, help improving the reliability of laboratory monitoring management.
In one embodiment, the data processing module further comprises a video processing unit;
the video processing unit is used for acquiring the video monitoring data transmitted by the video monitoring unit, preprocessing the acquired video monitoring data, integrating the preprocessed video monitoring data into the digital twin model according to the monitoring area corresponding to the video monitoring data, and transmitting the preprocessed video monitoring data into the large-screen display module for display when the large-screen display module sends a calling instruction.
In a scene, after video monitoring data are integrated into a digital twin model, a manager can access the digital twin model and select corresponding regions to obtain real-time/historical video monitoring data corresponding to the regions, the manager can accurately know the condition of a target region of a laboratory according to the video monitoring data, and the effect of remote management of the laboratory is improved.
Aiming at the condition that the quality of video monitoring data is poor due to the fact that video data collected by a video collecting unit is easily influenced by the environment of a laboratory, in one implementation mode, when the video processing unit preprocesses the obtained video monitoring data, the video processing unit further performs enhancement processing on the video monitoring data to improve the quality of the video monitoring data, the video monitoring data after the enhancement processing are stored, managed and integrated into a digital twin model, the effect that a manager calls and displays related video monitoring data through the digital twin model is facilitated to be improved, and the reliability that the manager conducts remote management on the laboratory according to the video monitoring data is indirectly improved.
In one embodiment, the video processing unit performs enhancement processing on the acquired video monitoring data, and specifically includes:
acquiring each video monitoring frame picture according to the video monitoring data;
performing wavelet decomposition according to the obtained video monitoring frame picture to respectively obtain a high-frequency component sub-picture and a low-frequency component sub-picture of the video monitoring frame picture;
converting the obtained low-frequency component sub-picture from an RGB color space to an HSI color space to obtain a hue component H, a saturation component S and a brightness component I of the low-frequency component sub-picture;
and performing brightness balance adjustment according to the obtained brightness component I:
in the formula (I), the compound is shown in the specification,
the brightness component value Ie of the pixel point (x, y) at the current moment after brightness balance adjustment is represented t (x, y) represents the average value of the luminance component values of the pixels in the neighborhood range with the pixel (x, y) as the center at the current moment, func1 (| I) t (x,y)-I t-1 (x,y)|,IΔ,a,b,I t-1 (x,y),I t (x, y)) represents a conditional function, I t (x, y) represents the luminance component value of the pixel (x, y) at the current time, I t-1 (x, y) represents the luminance component value of the pixel point (x, y) at the previous time, and I.DELTA.represents a set luminance change threshold value of 0.3<IΔ<0.5, a, b respectively represent the set regulatory factors, of which 0.7<a<0.9，1.1<b<1.25; when I t (x,y)-I t-1 (x,y)|>When I delta, then Func1 (| I) t (x,y)-I t-1 (x,y)|,IΔ,a,b,I t-1 (x,y),I t (x,y))＝
According to brightness component after brightness balance adjustment
Converting the hue component H and the saturation component S into an RGB color space again to obtain an enhanced low-frequency component sub-picture;
and carrying out filtering enhancement processing on the obtained high-frequency component sprite:
in the formula (I), the compound is shown in the specification,
represents the kth high-frequency wavelet coefficient of the jth scale after the filtering enhancement processing, e (j, k) represents the kth high-frequency wavelet coefficient of the jth scale obtained by the wavelet decomposition, T represents the set high-frequency wavelet coefficient standard value, wherein
med (w (k)) represents the median of the high frequency wavelet coefficients; k represents the total number of wavelet coefficients; />
Obtaining an enhanced high-frequency component sprite;
and reconstructing according to the enhanced low-frequency component sub-picture and the enhanced high-frequency component sub-picture to obtain an enhanced video monitoring frame picture and form enhanced video monitoring data.
The embodiment of the invention provides a technical scheme for firstly performing enhancement processing on the obtained video monitoring data, firstly performing high-low frequency division based on wavelet decomposition on a video monitoring frame picture, aiming at the obtained low-frequency component sub-picture, performing self-adaptive brightness adjustment on a brightness component based on an HIS color space, intelligently adjusting the brightness level of the picture, avoiding the condition that the integral definition of the picture is influenced due to the influence of a flicker light source received by the picture, and improving the definition and the impression level of the picture. Meanwhile, self-adaptive filtering enhancement processing is carried out on the high-frequency component, noise interference in the picture can be eliminated, the situation that the picture is not clear due to the fact that the picture is subjected to the noise interference in the collection and transmission processes is avoided, and the overall definition of the picture is improved. And finally, reconstructing the enhanced high-low frequency component sub-picture to obtain enhanced video monitoring data, and when the video monitoring data is integrated into the digital twin model, improving the definition of the video monitoring data and indirectly improving the effect of a manager on remotely managing a laboratory according to the obtained video monitoring data.
In one embodiment, the large screen display module further comprises a video display unit;
the video display unit is used for calling the video monitoring data of the selected laboratory area from the digital twin model according to the video display instruction and displaying the called video monitoring data;
in one embodiment, the large screen display module comprises a permission management unit and a large screen display unit;
the authority management unit is used for acquiring user identity information, performing authority verification according to the user identity information, and allowing a user to access the large-screen display unit after the authority passes the elegance;
the large-screen display unit is used for performing large-screen display according to the real-time digital twin model, and comprises the steps of performing classified display on laboratory monitoring data, supply chain monitoring data and video monitoring data in the digital twin model according to different laboratory management elements of the digital twin model, performing visual display according to an intelligent analysis result in the digital twin model, and displaying a corresponding abnormity reminding message when the intelligent analysis result is abnormal.
In one scenario, after passing the identity verification of a large-screen management module, a manager can access digital twin models of one or more laboratories through a large-screen display unit, visually know real-time monitoring data and analysis results of the laboratories according to the displayed digital twin models, and take corresponding management measures for the laboratories.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
Through the above description of embodiments, those skilled in the art will appreciate that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A management system based on digital twins is characterized by comprising a model management module, a data acquisition module, a data processing module and a large-screen display module; wherein the content of the first and second substances,
the model management module is used for constructing a digital twin model according to laboratory management elements and completing configuration of dynamic parameters of the digital twin model and association of the dynamic parameters and the data acquisition module, wherein the laboratory management elements comprise laboratory basic information and supply chain information, and the dynamic parameters comprise laboratory monitoring parameters and supply chain monitoring parameters;
the data acquisition module is used for acquiring monitoring data and transmitting the monitoring data to the data processing module, wherein the monitoring data comprises laboratory monitoring data and supply chain monitoring data;
the data processing module is used for integrating the acquired monitoring data into the digital twin model to update the digital twin model; carrying out intelligent analysis processing according to the acquired monitoring data to obtain an intelligent analysis result, and integrating the intelligent analysis result into the digital twin model;
and the large-screen display module is used for displaying the digital twin model and the intelligent analysis result on a large screen.
2. A digital twin based management system as claimed in claim 1 including a database module;
the database module is respectively connected with the model management module, the data acquisition module and the data processing module and is used for carrying out classified storage management on the digital twin model, the monitoring data and the analysis result corresponding to each laboratory to construct a laboratory management database.
3. The digital twin-based management system of claim 1, further comprising a control module;
and the control module is used for sending a corresponding control instruction to corresponding laboratory equipment according to the abnormal information when the laboratory abnormal analysis result and/or the laboratory abnormal early warning result obtained by the data processing module are abnormal.
4. The digital twin-based management system as claimed in claim 1, wherein the model management module includes a model construction unit and a model configuration unit; wherein the content of the first and second substances,
the model building unit is used for building a digital twin model according to laboratory basic information and performing space division on the digital twin model according to laboratory structure information, wherein the laboratory basic information comprises laboratory structure information;
the model configuration unit is used for configuring corresponding laboratory monitoring parameters for the digital twin model and associating the laboratory monitoring parameters with a laboratory acquisition unit of the data acquisition module; and the system is used for configuring corresponding supply chain monitoring parameters, integrating the supply chain monitoring parameters into the digital twin model and associating the supply chain monitoring parameters with a supply chain management unit of the data acquisition module.
5. The digital twin-based management system as set forth in claim 4, wherein the data collection module comprises a laboratory collection unit and a supply chain management unit; wherein the content of the first and second substances,
the laboratory acquisition unit comprises a personnel monitoring unit, an environment monitoring unit, an equipment monitoring unit and an intelligent gateway unit; wherein the content of the first and second substances,
the personnel monitoring unit is used for acquiring personnel information in the laboratory, and the personnel monitoring unit acquires personnel identity information and personnel positioning information in the laboratory through intelligent access control equipment;
the environment monitoring unit is used for acquiring environment monitoring data of each area in the laboratory, wherein the environment monitoring data comprises temperature, humidity, pH value, oxygen concentration data and sewage microorganism data;
the equipment monitoring unit is used for acquiring running state data of each piece of equipment in the laboratory, wherein the equipment comprises sewage treatment equipment, sterilization equipment, air conditioning equipment, a fresh air system, safety indicating equipment and a biological cabinet;
the intelligent gateway unit is respectively connected with the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit and is used for transmitting the laboratory monitoring data acquired by the personnel monitoring unit, the environment monitoring unit and the equipment monitoring unit to the data processing module;
the supply chain management unit comprises a material transportation tracking unit and an inventory management unit; wherein the content of the first and second substances,
the material transportation tracking unit is used for acquiring logistics information and storage information of the material in the transportation process and transmitting the acquired logistics information and storage information to the data processing module, and the data processing module comprises real-time logistics data of the material acquired from the logistics management system and storage data of the material acquired from the logistics monitoring system in the transportation process, wherein the storage data comprises real-time environment monitoring data of the material in the transportation process;
the inventory management unit is used for collecting material inventory information in the laboratory and transmitting the material inventory information to the data processing module, wherein the material inventory information comprises the storage position, the use details and the residual inventory of each material.
6. A digital twin based management system as defined in claim 5 wherein the laboratory collection unit further comprises a video monitoring unit;
the video monitoring unit is used for collecting video monitoring data of each area in the laboratory, transmitting the collected video monitoring data to the data processing module, and integrating the obtained video monitoring data into the digital twin model by the data processing module.
7. The digital twin-based management system as claimed in claim 5, wherein the data processing module comprises a data acquisition unit, a data governance unit, a laboratory analysis unit, an early warning unit and a supply chain analysis unit; wherein the content of the first and second substances,
the data acquisition unit is used for establishing communication connection with the data acquisition module and receiving the monitoring data transmitted by the data acquisition unit;
the data management unit is used for performing data management on the acquired monitoring data, and comprises data cleaning and standardization processing to obtain the monitoring data after the data management, integrating the monitoring data after the data management into the digital twin model and updating the digital twin model, wherein the data acquisition unit comprises a laboratory acquisition unit and a supply chain management unit;
the laboratory analysis unit is used for analyzing according to real-time laboratory monitoring data, comparing the real-time laboratory monitoring data with corresponding safety standards to obtain real-time laboratory anomaly analysis results, and integrating the laboratory anomaly analysis results into the digital twin model;
the early warning unit is used for carrying out prediction analysis according to the laboratory monitoring data in a period of time to obtain a change prediction result of the laboratory monitoring data, comparing the obtained change prediction result with a corresponding safety standard to obtain a laboratory abnormity early warning result, and integrating the laboratory abnormity early warning result into the digital twin model;
the supply chain analysis unit is used for analyzing according to real-time supply chain monitoring data, comparing and analyzing the implemented supply chain monitoring data with corresponding warning standards to obtain a supply chain abnormity analysis result, and integrating the supply chain abnormity analysis result into the digital twin model.
8. A digital twin based management system as defined in claim 7 wherein the data processing module further comprises a video processing unit;
the video processing unit is used for acquiring the video monitoring data transmitted by the video monitoring unit, preprocessing the acquired video monitoring data, integrating the preprocessed video monitoring data into the digital twin model according to the monitoring area corresponding to the video monitoring data, and transmitting the preprocessed video monitoring data into the large-screen display module for display when the large-screen display module sends a calling instruction.
9. The digital twin-based management system as claimed in claim 7, wherein the large screen display module includes a rights management unit and a large screen display unit;
the authority management unit is used for acquiring the user identity information, performing authority verification according to the user identity information, and allowing the user to access the large-screen display unit after the authority passes the elegance;
the large-screen display unit is used for performing large-screen display according to the real-time digital twin model, classifying and displaying laboratory monitoring data, supply chain monitoring data and video monitoring data in the digital twin model according to different laboratory management elements of the digital twin model, performing visual display according to the obtained intelligent analysis result, and displaying corresponding abnormity reminding messages when the intelligent analysis result is abnormal.
10. The digital twin-based management system as set forth in claim 9, wherein the large screen display module further comprises a video display unit;
the video display unit is used for calling the video monitoring data of the selected laboratory area from the digital twin model according to the video display instruction and displaying the called video monitoring data.
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