CN116341289A - Real-time data visualization platform based on digital twin technology - Google Patents
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Abstract
The invention provides a real-time data visualization platform based on a digital twin technology, which is applied to the field of electric digital data processing, and can effectively predict, optimize and label acquired data through the arrangement of a model data prediction module, a model optimization module and a data labeling module, effectively correct data errors and inaccuracy in time, effectively promote a digital twin modeling module to generate the synchronicity of a twin model and real data, and further realize the function of safety detection on the model data through the arrangement of a data verification tamper-proof module, effectively realize the monitoring function on the authenticity of the model data when the real-time data has abnormal data, avoid the conditions of unauthorized access and malicious tampering of the data, further effectively ensure the data authenticity and the data security of the twin model, further effectively ensure the application effect of the digital twin model in reality and promote the development of the visualization platform.
Description
Technical Field
The application relates to the field of electric digital data processing, in particular to a real-time data visualization platform based on a digital twin technology.
Background
Digital twinning is a technique that digitizes a physical system or process and creates a virtual model thereof. It is a simulation technique by simulating the operation of a physical entity or system in a virtual model to better understand its performance, study its possible problems, predict its behavior, and optimize its design. The digital twin technology mainly consists of three parts: data acquisition, modeling and simulation, and feedback and optimization.
A real-time data visualization platform is a software tool that is capable of processing data in real-time and presenting the data in a visual manner. The method has the functions and characteristics of real-time processing, diversified data sources, visualization, real-time alarm, custom configuration, data storage, export and the like, and after the digital twin technology is applied to the real-time data visualization platform, the method can effectively keep the data presentation of the real-time data visualization platform, and can form a digital twin model for the acquired data based on the digital twin technology, so that the operation condition of a physical entity or a system can be simulated in real time, and the usability of the real-time data visualization platform is further improved.
After the real-time data visualization platform is combined with the data twinning technology to construct a data model, the platform needs to ensure the synchronism of the model and real world data, and timely update and correct errors and inaccuracy in the model.
Disclosure of Invention
Compared with the prior art, the real-time data visualization platform based on the digital twin technology comprises a platform body, wherein a visualization platform module is arranged in the platform body, the input end of the visualization platform module is connected with a digital twin processing unit, and the input end of the digital twin processing unit is connected with a plurality of data acquisition ends;
the digital twin processing unit comprises a digital twin modeling module, the input end of the digital twin modeling module is respectively connected with a model data prediction module, a model optimization module and a data labeling module, the output end of the model data prediction module is also in signal connection with the model optimization module, and the output end of the digital twin modeling module is in signal connection with the visualization platform module;
the data acquisition end comprises a data acquisition module and a data preprocessing module, the input end of the data acquisition module is in signal connection with each collector and monitoring equipment, the output end of the data acquisition module is in signal connection with the data preprocessing module, and the output end of the data preprocessing module is respectively connected with the digital twin modeling module, the model data prediction module, the model optimization module and the data labeling module;
the output end of the model data prediction module is also connected with a data verification tamper-proof module, the input end of the data verification tamper-proof module is also connected with the data preprocessing module through signals, and the output end of the data verification tamper-proof module is connected with the digital twin modeling module through signals.
Further, the digital twin modeling module outputs pre-listing model data to the visual platform module by receiving the data of the data preprocessing module, the digital twin modeling module outputs labeling model data to the visual platform module by receiving the data of the data labeling module, stacks and refines the model data processed by the pre-listing model data by the labeling model data, the digital twin modeling module outputs prediction model data to the visual platform module by receiving the data of the model data prediction module, stacks and refines the model data processed by the labeling model data by the prediction model data, and the digital twin modeling module outputs optimization model data to the visual platform module by receiving the data of the model optimization module, stacks and refines the prediction model data by the model data processed by the optimization model data.
Further, the digital twin modeling module outputs pre-listing model data to the visual platform module by receiving the data of the data preprocessing module, the digital twin modeling module outputs labeling model data to the visual platform module by receiving the data of the data labeling module, stacks and refines the model data processed by the pre-listing model data by the labeling model data, the digital twin modeling module outputs prediction model data to the visual platform module by receiving the data of the model data prediction module, stacks and refines the model data processed by the labeling model data by the prediction model data, and the digital twin modeling module outputs optimization model data to the visual platform module by receiving the data of the model optimization module, stacks and refines the prediction model data by the model data processed by the optimization model data.
Optionally, the output end of the visualization platform module is also connected with a digital twin feedback module, and the output end of the digital twin feedback module is respectively connected with the model data prediction module, the model optimization module and the data labeling module through signals.
Optionally, the output end of the data verification tamper-proof module is further connected with a data waiting processing module, the output end of the data waiting processing module is respectively connected with the digital twin modeling module, the visual platform module and the data acquisition module through signals, and the input end of the data waiting processing module is connected with the data preprocessing module through signals.
Optionally, the output end of the data waiting processing module is further connected with an anti-tracking module, the anti-tracking module is further connected with the data acquisition end through signals, and the input end of the anti-tracking module is further connected with the data waiting processing module through signals.
Optionally, the platform is internally further provided with a safety protection module, the safety protection module is respectively connected with the data acquisition end, the anti-tracking module and the visual platform module in a signal manner, the safety protection module can monitor and block unauthorized access and malicious tampering sources according to abnormal data sources fed back by the anti-tracking module, the safety and feasibility of the visual platform data are guaranteed, and other corresponding safety measures can be adopted to protect data and algorithms in the digital twin processing unit from unauthorized access and attack.
Further, the visual management module is further mounted in the platform body and is respectively connected with the data acquisition end, the visual platform module and the digital twin processing unit in a signal manner, and is responsible for deployment, operation, maintenance and upgrading of the data acquisition end, the visual platform module and the digital twin processing unit, so that the operation stability of the visual platform is ensured, management and control can be performed on the acquisition end equipment of abnormal data fed back by the anti-tracking module, reminding can be performed, and maintenance and overhaul can be effectively performed on the acquisition equipment of the abnormal end in time, and the continuity of faults is avoided.
Further, the digital twin processing unit further comprises a model pre-constructing component, the output end of the model pre-constructing component is in signal connection with the digital twin modeling module, the input end of the model pre-constructing component is in signal connection with the digital twin sharing platform, the difficulty of generating a twin model by the digital twin modeling module is effectively reduced, and the generation efficiency of the twin model is improved.
Further, the data acquisition module comprises a data access module, a data preview module and a data recording processing module, wherein the input end of the data recording processing module is respectively connected with signals of the data access module and the data preview module, the data access module is used for accessing a conventional interface, the data preview module is used for accessing an unconventional interface, the adaptability of the data acquisition of the visual platform is improved through the arrangement of the data access module and the data preview module, the data acquisition difficulty of the visual platform is reduced, the construction efficiency is improved, and the adaptability of the visual platform is further improved.
Compared with the prior art, the advantage of this application lies in:
(1) The model data prediction module, the model optimization module and the data labeling module are arranged, so that the collected data can be effectively predicted, optimized and labeled, data errors and inaccuracy can be effectively corrected in time, data problems can be timely found, the synchronization of the digital twin modeling module to generate a twin model and real data can be effectively promoted, the safety detection of the model data is realized through the arrangement of the data verification tamper-proof module, the monitoring effect of the authenticity of the model data is effectively realized when abnormal data appears in real-time data, unauthorized access and malicious data tampering are avoided, the authenticity of the data and the safety of the data of the twin model are guaranteed, the practical application effect of the digital twin model is effectively guaranteed, and the development of a visual platform is promoted.
(2) Each data is independently received and processed through the independent channel, then the accurate change of the real-time data is gradually displayed to a user through the visual platform module by means of placement of lamination refinement, real-time feedback output can be carried out on the data, the data accuracy of the twin model can be improved through a lamination refinement mode, and visual management of data monitoring is effectively guaranteed.
(3) Through the layering coordination of the pre-listing model data, the labeling model data, the prediction model data and the optimization model data, the visual platform can display monitoring data in real time through the twin model, the accuracy of the twin model data is improved, the comprehensive data processing process can be effectively shown for a user in a layering refinement mode, the visual experience of the user is improved, the judgment of the user on the data change condition can be promoted, and the response action can be timely and effectively made.
(4) According to the difference and fluctuation of the layered refinement data, the data feedback can be carried out, the function of self-optimizing learning of the model data prediction module, the model optimization module and the data labeling module is effectively assisted, the accuracy of subsequent data processing is further improved, and the twin model and the real world data have higher fitting performance.
(5) When the data verification is unknown, the data verification tamper-proof module transmits data to the data waiting processing module to wait for the data, then the data waiting processing module directly starts the data acquisition end with abnormal conduction to acquire and process the data again, and then the data is directly transmitted to the data waiting processing module to conduct data rechecking processing through the data preprocessing module, so that the safety and the accuracy of the data are ensured, and the acquisition error or malicious tampering is avoided.
(6) The anti-tracking module can carry out anti-tracking on the real source of the abnormal data so as to judge the generation reason of the abnormal data, and can block or maintain the abnormal source in time, thereby effectively ensuring the accuracy of the follow-up data acquisition and the safety of the data transmission process.
Drawings
FIG. 1 is a frame diagram of a real-time data visualization platform of the present application;
FIG. 2 is a digital twin processing unit workflow diagram of the present application;
FIG. 3 is a state diagram of a layering refinement process of each model of the intelligent warehouse visualization platform;
FIG. 4 is a graph of the digital twin processing unit modeling process decisions of the present application for collected data;
FIG. 5 is a diagram of real-time data visualization platform control logic in accordance with an embodiment of the present application;
FIG. 6 is a control logic diagram of a real-time data visualization platform in a second embodiment of the present application;
FIG. 7 is a diagram of a real-time data visualization platform control logic in a third embodiment of the present application;
fig. 8 is a control logic diagram of a real-time data visualization platform according to a fourth embodiment of the present application.
Detailed Description
The embodiments will be described in detail and throughout the specification with reference to the drawings, wherein, based on the embodiments in the application, all other embodiments obtained by persons skilled in the art without making creative efforts are within the scope of protection of the application.
Example 1:
the invention provides a real-time data visualization platform based on a digital twin technology, referring to fig. 1-5, which comprises a platform body, wherein a visualization platform module is loaded in the platform body, the input end of the visualization platform module is connected with a digital twin processing unit, and the input end of the digital twin processing unit is connected with a plurality of data acquisition ends;
the digital twin processing unit comprises a digital twin modeling module, the input end of the digital twin modeling module is respectively connected with a model data prediction module, a model optimization module and a data labeling module, the output end of the model data prediction module is also in signal connection with the model optimization module, and the output end of the digital twin modeling module is in signal connection with the visualization platform module;
the data acquisition end comprises a data acquisition module and a data preprocessing module, the input end of the data acquisition module is in signal connection with each collector and monitoring equipment (a sensor, monitoring equipment and data input), the output end of the data acquisition module is in signal connection with the data preprocessing module, and the output end of the data preprocessing module is respectively connected with the digital twin modeling module, the model data prediction module, the model optimization module and the data labeling module;
the output end of the model data prediction module is also connected with a data verification tamper-proof module, the input end of the data verification tamper-proof module is also connected with a data preprocessing module through signals, the output end of the data verification tamper-proof module is connected with a digital twin modeling module through signals, the data prediction module, the model optimization module and the data labeling module are arranged, the collected data can be effectively predicted, optimized and labeled, the data errors and inaccuracy can be effectively and timely corrected, the data problem can be timely found, the synchronization effect of the digital twin modeling module to generate a twin model and real data can be effectively promoted, the effect of safety detection on the model data is realized through the arrangement of the data verification tamper-proof module, the monitoring effect of the authenticity of the model data is effectively realized when abnormal data appears, the situation of unauthorized access and malicious tampering of the data is avoided, the data authenticity and the data security of the twin model are effectively ensured, the application effect of the digital twin model in practice is further effectively ensured, and the development of a visual platform is promoted.
It should be noted that the data preprocessing module preprocesses and cleans the data transmitted by the data acquisition module so as to prepare for providing a data basis for the twin model established by the digital twin modeling module; the digital twin modeling module is a core of the digital twin processing unit and is responsible for establishing a digital twin model, and according to the acquired data, physical characteristics and other related information, pre-listed model data of the digital twin are established so as to simulate and predict the real world, and the module can comprise a machine learning algorithm, a deep learning algorithm, a physical simulation algorithm and the like; the model data prediction module can monitor the prediction result of the digital twin model in time and correct errors and inaccuracy in time, and can monitor the data acquired by the data acquisition end in real time by adopting a monitoring algorithm and a system to discover and solve problems in time; the model optimization module can optimize the data of the data acquisition end and the parameters and super parameters of the prediction data of the model data prediction module, so that the accuracy of digital twin can be improved, and when the model is optimized, the parameters and the structure of the model are required to be continuously adjusted by combining the actual scene and the data characteristics so as to achieve the optimal prediction effect; the data labeling module is mainly used for labeling data on the twin model, and the influence of subjective factors is reduced as much as possible according to certain standards and rules, so that the digital twin accuracy is improved.
Referring to fig. 2 and 3, the digital twin modeling module is respectively connected with the data preprocessing module, the data labeling module, the model data prediction module and the model optimization module through independent channels, outputs model data to the visualization platform module through a mode of sequential lamination refinement, independently receives and processes each data through the independent channels, then gradually displays accurate changes of real-time data to a user through the visualization platform module by using lamination refinement placement, not only can perform real-time feedback output on the data, but also can improve the data accuracy of the twin model through a mode of lamination refinement, and effectively ensures the visual management of data monitoring.
Referring to fig. 2 and 3, the digital twin modeling module outputs pre-listing model data to the visualization platform module by receiving the data of the data preprocessing module, the digital twin modeling module outputs labeling model data to the visualization platform module by receiving the data of the data labeling module, and stacks and refines the model data processed by the pre-listing model data by the labeling model data, the digital twin modeling module outputs prediction model data to the visualization platform module by receiving the data of the model data prediction module, stacks and refines the model data processed by the labeling model data by the prediction model data, and outputs optimization model data to the visualization platform module by receiving the data of the model optimization module, stacks and refines the prediction model data by the model data processed by the optimization model data, and stacks and refines the prediction model data by the pre-listing model data, the labeling model data, the prediction model data and the optimization model data, so that the visualization platform can display monitoring data in real time by the twin model, improve the accuracy of the twin model data, and can also effectively display the overall data processing process by the refinement mode, improve the user experience of the user, and respond to the possible situation of timely and can make a prompt response to the user. Taking an intelligent storage visualization platform as an example, the data is respectively transmitted to a digital twin modeling module, a model data prediction module, a model optimization module and a data labeling module after being acquired and processed by a data acquisition end, each model is generated by the digital twin modeling module after being processed and analyzed by each module in a digital twin processing unit, and then the models are sequentially processed and displayed in a layering and thinning mode, so that the intelligent storage twin model is continuously clear and formed, and the synchronism and accuracy of the twin model and the real intelligent storage data are effectively promoted.
Referring to fig. 1-5, a visual management module is further mounted in the platform body, and is respectively in signal connection with the data acquisition end, the visual platform module and the digital twin processing unit, and the visual management module is responsible for deployment, operation, maintenance and upgrading of the data acquisition end, the visual platform module and the digital twin processing unit, so that the operation stability of the visual platform is ensured, management and regulation can be performed on the equipment of the acquisition end of abnormal data fed back by the anti-tracking module, reminding is performed, and maintenance and overhaul can be effectively performed on the equipment of the abnormal end in time, so that the continuity of faults is avoided.
Referring to fig. 1-5, the digital twin processing unit further includes a model pre-constructing component, an output end of the model pre-constructing component is in signal connection with the digital twin modeling module, an input end of the model pre-constructing component is in signal connection with a digital twin sharing platform (sharing and pre-setting are performed on some general model components, synchronous construction of a model can be achieved by changing simple setting parameters), difficulty in generating a twin model by the digital twin modeling module is effectively reduced, and generation efficiency of the twin model is improved.
Referring to fig. 1-5, the data acquisition module includes a data access module, a data preview module and a data recording processing module, wherein an input end of the data recording processing module is respectively connected with signals of the data access module and the data preview module, the data access module is used for accessing a conventional interface, the data preview module is used for accessing an unconventional interface, and through setting of the data access module and the data preview module, adaptability of data acquisition of the visual platform is improved, difficulty of data acquisition of the visual platform is reduced, difficulty of building the visual platform is reduced, efficiency of building is improved, and suitability of the visual platform is further improved.
Referring to fig. 1-5, the data access module and the data preview module monitor the monitoring data of each collector and each detection device in real time, then synchronously transmit the data to the data recording module, the data recording module classifies, sorts, converts and stores the data, then transmits the data to the data preprocessing module, the data preprocessing module preprocesses and cleans the data, reduces the data acquisition errors, and then transmits the data to the digital twin modeling module, the model data prediction module, the model optimization module and the data labeling module respectively, and at this time, the digital twin modeling module firstly generates pre-array model data according to the data transmitted by the data preprocessing module and outputs the pre-array model data to the visualization platform module, so that the visualization platform module forms an iterative model bottom layer at this time; the data labeling module performs standard labeling on the received data, then transmits the data to the digital twin modeling module to form labeling model data, and outputs the labeling model data to the visualization platform module, so that the visualization platform module forms a labeling model of the model bottom layer at the moment; then the model data prediction module predicts the data received at the moment, judges the accuracy and the abnormality of the acquired data, transmits the data judged to be normal to the model optimization module and the digital twin modeling module respectively, and the digital twin modeling module forms prediction model data for the predicted normal data and outputs the prediction model data to the visualization platform module so that the visualization platform module forms a prediction model which is prominent to the labeling model at the moment; finally, the model optimization module predicts normal data through the data of the data preprocessing module and the model data prediction module to perform model optimization, and transmits the optimized data to the digital twin modeling module, so that the digital twin modeling module forms optimized model data and outputs the optimized model data to the visual platform module, the visual platform module forms an optimized model for optimizing the prediction model at the moment, and then the real-time twin model data is output to the platform body by the visual platform module through layering and refining;
when the model data prediction module judges that the difference between the acquired data and the predicted data is large or the data is abnormal, the data of the predicted abnormality is transmitted to the data verification tamper-proof module, the data verification tamper-proof module receives the acquired data transmitted by the data preprocessing module, then the data acquisition module is controlled to acquire the data of the acquirer or the monitoring equipment with the abnormal data again, the re-acquisition data is utilized to carry out re-verification and judgment on the abnormal data, and when the data is the same as the predicted data or different from the predicted data and the acquisition end error is judged or the data abnormality occurs, the data is transmitted to the digital twin modeling module, the data displayed on the model at the moment is subjected to complement, and the data display of the twin model is increased; and when the abnormal data is judged to be generated by non-acquisition end factors, the data is transmitted to a visual management module, so that the abnormal data is realized, and related technicians process the abnormal data, thereby avoiding unauthorized access or malicious tampering of the data, ensuring the accuracy of the twin model and ensuring the safety of the data.
Example 2:
the present invention provides a real-time data visualization platform based on a digital twin technology, and provides a real-time data visualization platform based on a digital twin technology, wherein components identical to or corresponding to those in embodiment 1 are denoted by reference numerals corresponding to those in embodiment 1, and only differences from embodiment 1 are described below for the sake of simplicity. This embodiment 2 is different from embodiment 1 in that: referring to fig. 1-4 and fig. 6, the output end of the visualization platform module is further connected with a digital twin feedback module, and the output end of the digital twin feedback module is respectively connected with a model data prediction module, a model optimization module and a data labeling module in a signal manner, so that data feedback can be performed according to the difference and fluctuation of laminated refined data, the effect of self-optimizing learning is effectively assisted by the model data prediction module, the model optimization module and the data labeling module, the accuracy of subsequent data processing is further improved, and the twin model and real world data have higher fitting performance.
Example 3:
the present invention provides a real-time data visualization platform based on digital twin technology, wherein components identical to or corresponding to those in embodiment 1 are denoted by reference numerals corresponding to embodiment 1, and only differences from embodiment 1 are described below for the sake of brevity. This embodiment 3 is different from embodiment 1 in that: referring to fig. 1-4 and fig. 7, the output end of the data verification anti-tampering module is further connected with a data waiting processing module, the output end of the data waiting processing module is respectively connected with the digital twin modeling module, the visual platform module and the data acquisition module through signals, the input end of the data waiting processing module is connected with the data preprocessing module through signals, when the data verification is unknown, the data verification anti-tampering module transmits data to the data waiting processing module to wait for the data, then the data waiting processing module directly starts the data acquisition end with abnormal conduction to acquire and process the data again, and then the data waiting processing module directly transmits the data to conduct data rechecking processing through the data preprocessing module, so that the safety and accuracy of the data are guaranteed, and the situation of acquisition errors or malicious tampering is avoided.
Example 4:
the present invention provides a real-time data visualization platform based on digital twin technology, wherein the same or corresponding components as those in embodiment 3 are denoted by the same reference numerals as those in embodiment 3, and only the differences from embodiment 3 are described below for the sake of simplicity. This embodiment 4 is different from embodiment 3 in that: referring to fig. 1-4 and fig. 8, the output end of the data waiting processing module is further connected with an anti-tracking module, the input end of the anti-tracking module is further connected with the data collecting end in a signal manner, the anti-tracking module can conduct anti-tracking on the real source of the abnormal data, so that the generation reason of the abnormal data can be judged, the abnormal source can be blocked or maintained in time, and the accuracy of subsequent data collection and the safety of the data transmission process are effectively guaranteed.
Referring to fig. 1-4 and fig. 8, a security protection module is further mounted in the platform body, and is respectively in signal connection with the data acquisition end, the anti-tracking module and the visual platform module, wherein the security protection module can perform same type monitoring and blocking on unauthorized access and malicious tampering sources according to abnormal data sources fed back by the anti-tracking module, so that the security and feasibility of visual platform data are ensured, and other corresponding security measures can be adopted to protect data and algorithms in the digital twin processing unit from unauthorized access and attack.
The foregoing is merely a preferred embodiment of the present application, which is used in connection with the actual requirement, but the scope of the present application is not limited thereto.
Claims (10)
1. The real-time data visualization platform based on the digital twin technology comprises a platform body and is characterized in that a visualization platform module is loaded in the platform body, the input end of the visualization platform module is connected with a digital twin processing unit, and the input end of the digital twin processing unit is connected with a plurality of data acquisition ends;
the digital twin processing unit comprises a digital twin modeling module, wherein the input end of the digital twin modeling module is respectively connected with a model data prediction module, a model optimization module and a data labeling module, the output end of the model data prediction module is also in signal connection with the model optimization module, and the output end of the digital twin modeling module is in signal connection with the visualization platform module;
the data acquisition end comprises a data acquisition module and a data preprocessing module, the input end of the data acquisition module is in signal connection with each collector and monitoring equipment, the output end of the data acquisition module is in signal connection with the data preprocessing module, and the output end of the data preprocessing module is respectively connected with a digital twin modeling module, a model data prediction module, a model optimization module and a data labeling module;
the output end of the model data prediction module is also connected with a data verification tamper-proof module, the input end of the data verification tamper-proof module is also connected with a data preprocessing module through signals, and the output end of the data verification tamper-proof module is connected with a digital twin modeling module through signals.
2. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the digital twin modeling module is in signal connection with the data preprocessing module, the data labeling module, the model data prediction module and the model optimization module through independent channels respectively, and outputs model data to the visualization platform module through a mode of sequential lamination refinement.
3. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the digital twin modeling module outputs pre-listed model data to the visualization platform module by receiving data of the data preprocessing module, the digital twin modeling module outputs labeling model data to the visualization platform module by receiving data of the data labeling module, and stacks and refines model data after processing of the pre-listed model data by the labeling model data, the digital twin modeling module outputs prediction model data to the visualization platform module by receiving data of the model data prediction module, stacks and refines model data after processing of the labeling model data by the prediction model data, and the digital twin modeling module outputs optimization model data to the visualization platform module by receiving data of the model optimization module, and stacks and refines prediction model data by optimizing model data after processing of the model data.
4. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the output end of the visualization platform module is further connected with a digital twin feedback module, and the output end of the digital twin feedback module is respectively in signal connection with a model data prediction module, a model optimization module and a data labeling module.
5. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the output end of the data verification tamper-proof module is further connected with a data waiting processing module, the output end of the data waiting processing module is respectively in signal connection with the digital twin modeling module, the visualization platform module and the data acquisition module, and the input end of the data waiting processing module is in signal connection with the data preprocessing module.
6. The real-time data visualization platform based on the digital twin technology according to claim 5, wherein the output end of the data waiting processing module is further connected with an anti-tracking module, the anti-tracking module is further connected with the data acquisition end through signals, and the input end of the anti-tracking module is further connected with the data waiting processing module through signals.
7. The real-time data visualization platform based on the digital twin technology according to claim 6, wherein a safety protection module is further mounted in the platform body, and the safety protection module is respectively in signal connection with the data acquisition end, the anti-tracking module and the visualization platform module.
8. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein a visualization management module is further mounted in the platform body, and the visualization management module is respectively in signal connection with the data acquisition end, the visualization platform module and the digital twin processing unit.
9. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the digital twin processing unit further comprises a model pre-constructing component, an output end of the model pre-constructing component is in signal connection with the digital twin modeling module, and an input end of the model pre-constructing component is in signal connection with the digital twin sharing platform.
10. The real-time data visualization platform based on the digital twin technology according to claim 1, wherein the data acquisition module comprises a data access module, a data preview module and a data recording processing module, and the input end of the data recording processing module is respectively connected with signals of the data access module and the data preview module.
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