CN119621663A - A multi-format digital twin model IoT device data binding method - Google Patents

Abstract

The invention discloses a multi-format digital twin model Internet of things equipment data binding method which comprises the following steps of S1, data preprocessing fusion, S2, data binding function adjustment, S3, workflow engine technology application, S4, tool function introduction, S5, testing and submitting mechanisms, wherein the data preprocessing fusion is carried out by carrying out unified preprocessing operation on data of different equipment, the S2, data binding function adjustment is carried out by optimizing and adjusting an existing binding mode and improving a user interface, the S4, tool function introduction is carried out by establishing a unified data binding management flow, the S5, testing and submitting mechanisms are designed to ensure the accuracy and the integrity of data binding, and the S6, real-time rendering and panel development is carried out by developing a real-time rendering and displaying panel based on a flying engine. The method and the system realize the efficient management of the data binding of the multi-format digital twin model Internet of things equipment.

Description

Multi-format digital twin model Internet of things equipment data binding method

Technical Field

The invention relates to the technical field of the Internet of things and digital twinning, in particular to a multi-format digital twinning model Internet of things equipment data binding method.

Background

With the rapid development of internet of things (IoT) technology, digital twin technology is increasingly applied in various industries. Through digital twin technology, the state and behavior of the physical device can be mapped into the virtual model in real time, so that the monitoring, management and optimization of the device are realized. However, current digital twin systems still have some significant drawbacks when processing multi-format, multi-type internet of things device data.

Firstly, the data formats and communication protocols of different internet of things devices are different, and the diversity complicates unified processing and integration of device data. Secondly, the existing system often needs to manually configure the equipment data binding, which is tedious and error-prone, resulting in high system deployment and maintenance costs. Finally, the expandability and flexibility of the system are also limited, and it is difficult to quickly adapt to the access of new devices or the change of service requirements. In addition, the automation and the intellectualization level of the data binding flow are low, and the management requirement of a large-scale complex system cannot be fully met.

These deficiencies limit the widespread use of digital twinning techniques, and there is a need for a new method that can automate the processing of multi-format device data, support device type dynamic mapping, and simplify configuration flow to improve system adaptability and reliability.

When the existing digital twin system processes multi-format and multi-type internet of things equipment data, the following disadvantages mainly exist:

(1) The diversity of the data formats and the communication protocols is difficult to uniformly process, namely, the data formats and the communication protocols of different Internet of things devices are different, and the heterogeneous data are difficult to effectively integrate and process in the same system in the prior art, so that the system integration is complex and the efficiency is low.

(2) The manual configuration is complex and is easy to make mistakes, the existing system depends on the manual configuration in the equipment data binding process, the mode is time-consuming and labor-consuming, and the data binding failure is easy to be caused by human errors, so that the overall stability and reliability of the system are affected.

(3) The expansibility and flexibility are not enough, and the expansibility and flexibility are severely restricted when the system faces to the rapidly-changing service demands due to the limited access and management support of the new equipment in the prior art, so that the system is difficult to adapt to the new equipment type or the updated data format.

(4) The automation and the intelligence are low, at present, the equipment data binding process of most systems still depends on manual operation, and the lack of automation and intelligence means leads to low operation efficiency, and is more obvious particularly when processing large-scale complex systems.

The defects obviously limit the application and popularization of the digital twin technology in the field of the Internet of things. The diversity of data formats and the complexity of manual configuration make the deployment and maintenance of the system high, and the system adaptability is further weakened due to the insufficient expansibility and flexibility of the system. In addition, lack of automation and intelligence levels makes existing systems appear debilitating when dealing with large-scale device data binding requirements. These problems need to be solved by technical innovation to improve the performance and user experience of the digital twin system.

The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.

Disclosure of Invention

The invention aims to provide a multi-format digital twin model Internet of things equipment data binding method, which aims to solve various problems in the prior art in processing multi-format equipment data binding.

In order to achieve the above purpose, the present invention adopts the following technical scheme:

the invention provides a multi-format digital twin model internet of things equipment data binding method, which comprises the following steps:

s1, data preprocessing fusion, namely, standardizing heterogeneous data into a format which can be identified and processed by a system through unified preprocessing operation on data of different devices;

S2, adjusting the data binding function, namely optimizing and adjusting the existing binding mode, and improving a user interface to simplify the operation flow of data binding;

S3, applying a workflow engine technology, namely introducing the workflow engine technology and establishing a unified data binding management flow;

s4, introducing a series of practical tool functions, and further improving the efficiency and accuracy of data binding;

S5, designing a test and submission mechanism to ensure the correctness and the integrity of data binding;

S6, developing a real-time rendering and panel based on the flying engine so as to meet the requirement of a user for previewing and displaying the bound data at any time.

Further, the data preprocessing fusion is specifically as follows:

The data standardization processing comprises the steps of firstly carrying out standardization processing through a preprocessing module after data are acquired from all the Internet of things equipment, wherein the preprocessing module is responsible for converting the data into a uniform format;

And (3) data fusion and deduplication, namely carrying out fusion and deduplication operation on the same or similar data from different devices, and avoiding occurrence of redundant data, thereby improving the efficiency and the accuracy of data processing.

Further, the data binding function adjustment is specifically as follows:

card page optimization, namely canceling the switching function of the traditional card page and the list page, wherein each page only keeps one form;

Scene modeling adjustment:

(1) The information bubble display adjustment, namely changing the data information bubble on the model into a menu which is also displayed under a scene modeling menu, adding a display equipment data icon on a menu bar at the upper left corner of the scene modeling, and controlling the display state of bubble information by a user through the icon;

(2) The binding identification display is that a binding identification is added on the rightmost side of the model tree and is used for reminding a user whether the model is bound with equipment data or not; when the model is selected, an operation entry of binding data is added, and a binding icon is displayed no matter whether the layer binds equipment or not;

(3) The method comprises the steps of carrying out style and interaction of information bubbles, wherein when a model is not bound with equipment data, an information bubble floating window defaults to display model names, respectively supports at most 4 groups of data display for floating windows of monitoring equipment, video equipment and vehicle equipment, and distinguishes the styles according to equipment types;

data binding entry and page layout:

(1) The multi-entry data binding comprises that a user enters a data binding boundary surface through a menu, a binding button or an icon after directly clicking a model layer;

(2) The data binding page layout is that when a certain object image layer is newly built, edited or deleted in the scene modeling process, the corresponding item in the data binding process can be automatically updated or deleted;

Model panel interactions:

(1) Model type limitation, wherein a type field in a model panel only receives three values of 'monitoring equipment', 'video equipment' and 'vehicle equipment', and reminds and prevents connection which does not meet requirements;

(2) The floating window index interaction is to automatically adapt to the display color of the floating window index according to the connected data format, and when the index reaches the maximum number, the adding button automatically disappears;

The automatic docking of the video equipment is supported, namely, three fields of name, type and video are automatically docked, and seamless integration of equipment data and a model is ensured;

and an automatic binding portal is used for providing a plurality of data binding portals, including selecting through a menu, directly clicking a binding button or selecting a bound model, so as to help a user to more conveniently complete the binding of the device data.

Further, the application of the workflow engine technology specifically includes:

DataEngineFlow class defining a class 'DataEngineFlow' specially used for data binding, creating a 'DataEngineFlow' instance every time the device data is bound, wherein the instance holds all information related to binding, including device type, data format and binding state;

event queue management, namely, each step of data binding can be automatically triggered through an event queue mechanism, wherein the steps comprise data acquisition, format conversion and binding verification;

And dynamically mapping and adjusting, namely automatically adjusting binding logic according to the type and the data format of the equipment, and ensuring that the newly accessed equipment can be quickly incorporated into the existing binding flow.

Further, the introduction of the tool class function specifically includes:

the connector is used for splicing a plurality of data fields into a complete character string or integrating data from different sources together so as to facilitate unified processing;

the decimal preserving function is provided, and the user sets the bit number after decimal point according to the actual requirement to ensure the data precision;

type conversion, namely supporting conversion between character strings and numerical types, ensuring that different types of data can be processed under a unified framework, prompting that the content cannot be converted and preventing connection operation if some types cannot support conversion;

constant and enumeration, namely, inputting fixed character string constant by a user or distributing specific enumeration values for input values, supporting at most 10 enumeration values, and allowing enumeration limitation to be adjusted according to requirements.

Further, the test and commit mechanism is specifically as follows:

The system can verify whether each model has at least one field which is correctly bound with a data source or not, and provide a detailed test report;

and the submitting function is to submit the binding result by the user after passing the test, and the submitting operation saves all the binding configuration into the system and takes effect immediately, so as to ensure that the binding equipment data can be reflected in the digital twin model in real time.

Further, the real-time rendering and panel development are specifically as follows:

The embedded panel supports to pop up the real-time display panel at any position, and a user can check the data binding condition of the current equipment and the real-time state change of the model through the panels;

The iframe supports that the panel also supports embedded iframe display, so that a user is allowed to embed the display panel into other applications, and the integration capability and operability of the system are enhanced.

By adopting the technical scheme, the invention has the following beneficial effects:

The invention provides a high-efficiency and flexible multi-format digital twin model Internet of things equipment data binding method. The method solves a plurality of problems in the prior art through the combination of data preprocessing fusion, workflow engine technology, tool class functions and real-time rendering and display panels, remarkably improves the adaptability, expansibility and reliability of the system, and provides powerful technical support for data binding and management of the Internet of things equipment.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will briefly explain the drawings needed in the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of an internet of things cloud native device access method based on faas provided by an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.

Aiming at the defects of the prior art, the invention provides an innovative multi-format digital twin model Internet of things equipment data binding method, which aims to solve the following technical problems:

(1) The unified processing of the multi-format device data is realized, and the device data in different formats is standardized by the data preprocessing fusion technology, so that the system can effectively integrate and process the data from different devices, and the consistency and the processing efficiency of the data are improved.

(2) The invention realizes the automatic management of the equipment data binding process by introducing the workflow engine technology, reduces the complexity of manual configuration, reduces the error rate in the configuration process and obviously improves the stability of the system.

(3) The invention can adapt to the access of new equipment and the change of different data formats by dynamically mapping and automatically adjusting the data binding logic, thereby greatly improving the expansibility and flexibility of the system.

(4) The invention introduces the functions of an automatic tool class and an intelligent testing and submitting mechanism, ensures the high efficiency and accuracy of the data binding process, can stably operate in a large-scale complex system, and remarkably improves the operation efficiency and the system response speed.

Referring to fig. 1, this embodiment provides a method for binding data of a multi-format digital twin model internet of things device, where the method specifically includes:

1. data preprocessing fusion:

In a digital twin system, the data formats and communication protocols of different internet of things devices are different. In order to solve the problem, the invention adopts a data preprocessing fusion technology. Specifically, heterogeneous data is standardized into a format that can be recognized and processed by the system by performing a unified preprocessing operation on the data of the different devices. The preprocessing module cleans, converts and normalizes all input data, and ensures seamless integration into a digital twin model regardless of the source of the data.

And (3) data standardization processing, namely after data are acquired from all the Internet of things equipment, firstly carrying out standardization processing through a preprocessing module. This module is responsible for converting data into a unified format, e.g., converting different types of temperature sensor data into the same numerical format, and unifying units.

And the system can perform fusion and deduplication operation on the same or similar data from different devices, so that redundant data is avoided, and the efficiency and the accuracy of data processing are improved.

2. And (3) adjusting a data binding function:

In order to simplify the operation flow of data binding, the invention optimizes and adjusts the prior binding mode and improves the user interface:

Card page optimization in order to simplify user operation, the invention cancels the switching function of the traditional card page and list page, and each page only keeps one form. Taking a network component and a protocol management module as examples, a user does not need to switch between different pages in the use process, and all operations are completed on a single interface, so that the operation efficiency is improved and the possibility of errors is reduced.

Scene modeling adjustment:

(1) And (3) information bubble display adjustment, namely changing the data information bubble on the model into a menu which is also displayed under a scene modeling menu, wherein a menu bar at the upper left corner of the scene modeling is added with a 'display equipment data' icon, and a user can control the display state of bubble information through the icon.

(2) The binding identifier shows that a binding identifier is added to the rightmost side of the model tree and used for reminding a user whether the model is bound with the device data. When the model is selected, an operation entry for binding data is added, a binding icon is displayed no matter whether the layer binds the device or not, and the model layer of the unbound device does not display the icon.

(3) And the information bubble patterns and interactions are that when the model is not bound with the equipment data, the information bubble floating window defaults to display the model name, and the floating windows of the monitoring equipment, the video equipment and the vehicle equipment are respectively supported with at most 4 groups of data display, and the patterns are distinguished according to the equipment types. The user may click on the icon to pop up a details popup window of the device to which the associated field belongs.

Data binding entry and page layout:

(1) And the user can enter the data binding boundary surface through a menu, a binding button or directly clicking an icon behind the model layer. The system automatically switches to the corresponding layer and automatically displays or hides the binding icon according to the layer object type selected by the user.

(2) And (3) layout of the data binding page, namely automatically updating or deleting corresponding entries in the data binding process when a certain object layer is newly built, edited or deleted in the scene modeling process. The user can double click the device information and put the device information into the layout canvas, and the system automatically matches corresponding binding rules according to the model type and the data format.

Model panel interactions:

(1) Model type limitation-the type field in the model panel accepts only three values of "monitor device", "video device" and "vehicle device", the system will alert and prevent operation for an unsatisfactory connection.

(2) And the floating window index interaction is that the system automatically adapts the display color of the floating window index according to the connected data format, for example, the data in the character string format is green, and the data in the digital format is blue. When the index reaches the maximum number (e.g., 4), the increase button will automatically disappear.

The system supports the automatic docking logic of the video equipment, and automatically docks three fields of name, type and video, thereby ensuring seamless integration of equipment data and models.

Automated binding portals the system provides a variety of data binding portals including through menu selections, direct clicking on a binding button, or selecting a bound model, etc., which help the user more conveniently complete binding of device data.

3. Application of workflow engine technology:

In order to solve the dynamic processing requirement of the multi-format device data, the invention introduces a workflow engine technology and establishes a unified data binding management flow.

DataEngineFlow class-the present invention defines a class 'DataEngineFlow' that is specific to data binding. Each time device data is bound, the system creates an instance of 'DataEngineFlow' which holds all the information related to the binding, including device type, data format, binding status, etc.

Event queue management, namely, through an event queue mechanism, the system can automatically trigger each step of data binding, including data acquisition, format conversion, binding verification and the like. This mechanism ensures the consistency and correctness of the data binding process, avoiding errors that may occur in manual operations.

The system can automatically adjust binding logic according to the type and data format of the device, so as to ensure that the newly accessed device can be quickly incorporated into the existing binding flow. This design greatly enhances the scalability of the system.

4. Introduction of tool class functions:

In order to further improve the efficiency and accuracy of data binding, the invention introduces a series of practical tool class functions:

and the connector is used for splicing a plurality of data fields into a complete character string or integrating data from different sources together so as to facilitate unified processing. The connector will uniformly convert the different types of values into character strings to ensure consistency of the data format.

The system provides the function of reserving decimal places, and a user can set the digits after decimal places according to actual needs so as to ensure data precision. The input and output types that hold the decimal must both be digital and support decimal accuracy of 0-10 bits.

Type conversion, namely, the system supports conversion between character strings and numerical types, and ensures that different types of data can be processed under a unified framework. If some type cannot support conversion, the system may prompt "the content cannot convert" and prevent the wire operation.

Constant and enumeration, namely, a user can input fixed character string constant or assign specific enumeration values to input values, and the functions enable the data binding process to be more flexible. The system supports a maximum of 10 enumerated values and allows the limits of enumeration to be adjusted as required.

5. Test and commit mechanism:

In order to ensure the correctness and integrity of data binding, the invention designs a testing and submitting mechanism:

And the test function is that before submitting the binding result, the user can check the integrity of the link and the correctness of the binding through the test function. The system verifies that each model has at least one field properly bound to the data source and provides detailed test reports.

And submitting the binding result after passing the test. The submitting operation saves all binding configurations into the system and takes effect immediately, ensuring that the binding device data can be reflected in the digital twin model in real time.

6. Real-time rendering and panel development:

the invention also develops a real-time rendering and displaying panel based on the flying engine, and a user can preview and display the bound data at any time.

The embedded panel is supported by the system to pop up the real-time display panel at any position, and a user can check the data binding condition of the current equipment and the real-time state change of the model through the panel.

The iframe supports that the panel also supports embedded iframe display, so that a user can embed the display panel into other applications, and the integration capability and operability of the system are enhanced.

In summary, the invention provides an efficient and flexible multi-format digital twin model Internet of things equipment data binding method. The method solves a plurality of problems in the prior art through the combination of data preprocessing fusion, workflow engine technology, tool class functions and real-time rendering and display panels, remarkably improves the adaptability, expansibility and reliability of the system, and provides powerful technical support for data binding and management of the Internet of things equipment.

The invention realizes the efficient management of the data binding of the multi-format digital twin-model Internet of things equipment by adopting the data preprocessing fusion, the workflow engine technology, the automatic tool class function and the real-time rendering and display panel, and has the following remarkable technical effects:

1. the data processing and system expansibility are improved, namely, the complexity problem caused by the diversity of the data formats of different Internet of things equipment is solved through a data preprocessing fusion technology, so that the system can uniformly process data in multiple formats. Meanwhile, the dynamic mapping and automatic adjustment binding logic enhances the expansibility of the system, so that the system can flexibly adapt to the access of new equipment and the change of different data formats, and the requirements of large-scale and complex application scenes are met.

2. The invention optimizes and simplifies the data binding flow, introduces a workflow engine technology, and realizes the highly-automated equipment data binding management. This not only reduces the complexity and risk of errors in manual configuration, but also greatly improves the stability and operational efficiency of the system, particularly when dealing with large-scale data.

3. The user experience and the system reliability are improved, namely, through an intelligent testing and submitting mechanism and the development of a real-time rendering and display panel, the user can easily configure, verify and view the data binding result in real time. The intuitive operation mode improves the understanding and using efficiency of the system by the user, enhances the reliability of the system and ensures the accuracy and consistency of data binding.

4. Optimizing the utilization and operation efficiency of the resources, namely adopting a modularized design and a data driving working mode to realize efficient collaborative work of all modules, and optimizing the use and management of the system resources. This not only improves the overall operating efficiency of the system, but also reduces maintenance and expansion costs, making the system more sustainable and market competitive.

It should be noted that the above embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the technical solution described in the above embodiments may be modified or some or all of the technical features may be equivalently replaced, and these modifications or substitutions do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiments of the present invention.

Claims (7)

1. The method for binding the data of the multi-format digital twin model Internet of things equipment is characterized by comprising the following steps of:

s1, data preprocessing fusion, namely, standardizing heterogeneous data into a format which can be identified and processed by a system through unified preprocessing operation on data of different devices;

S2, adjusting the data binding function, namely optimizing and adjusting the existing binding mode, and improving a user interface to simplify the operation flow of data binding;

S3, applying a workflow engine technology, namely introducing the workflow engine technology and establishing a unified data binding management flow;

s4, introducing a series of practical tool functions, and further improving the efficiency and accuracy of data binding;

S5, designing a test and submission mechanism to ensure the correctness and the integrity of data binding;

S6, developing a real-time rendering and panel based on the flying engine so as to meet the requirement of a user for previewing and displaying the bound data at any time.

2. The multi-format digital twin model internet of things device data binding method according to claim 1, wherein the data preprocessing fusion is specifically as follows:

The data standardization processing comprises the steps of firstly carrying out standardization processing through a preprocessing module after data are acquired from all the Internet of things equipment, wherein the preprocessing module is responsible for converting the data into a uniform format;

And (3) data fusion and deduplication, namely carrying out fusion and deduplication operation on the same or similar data from different devices, and avoiding occurrence of redundant data, thereby improving the efficiency and the accuracy of data processing.

3. The multi-format digital twin model internet of things device data binding method according to claim 1, wherein the data binding function is adjusted as follows:

card page optimization, namely canceling the switching function of the traditional card page and the list page, wherein each page only keeps one form;

Scene modeling adjustment:

(1) The information bubble display adjustment, namely changing the data information bubble on the model into a menu which is also displayed under a scene modeling menu, adding a display equipment data icon on a menu bar at the upper left corner of the scene modeling, and controlling the display state of bubble information by a user through the icon;

(2) The binding identification display is that a binding identification is added on the rightmost side of the model tree and is used for reminding a user whether the model is bound with equipment data or not; when the model is selected, an operation entry of binding data is added, and a binding icon is displayed no matter whether the layer binds equipment or not;

(3) The method comprises the steps of carrying out style and interaction of information bubbles, wherein when a model is not bound with equipment data, an information bubble floating window defaults to display model names, respectively supports at most 4 groups of data display for floating windows of monitoring equipment, video equipment and vehicle equipment, and distinguishes the styles according to equipment types;

data binding entry and page layout:

(1) The multi-entry data binding comprises that a user enters a data binding boundary surface through a menu, a binding button or an icon after directly clicking a model layer;

(2) The data binding page layout is that when a certain object image layer is newly built, edited or deleted in the scene modeling process, the corresponding item in the data binding process can be automatically updated or deleted;

Model panel interactions:

(1) Model type limitation, wherein a type field in a model panel only receives three values of 'monitoring equipment', 'video equipment' and 'vehicle equipment', and reminds and prevents connection which does not meet requirements;

(2) The floating window index interaction is to automatically adapt to the display color of the floating window index according to the connected data format, and when the index reaches the maximum number, the adding button automatically disappears;

The automatic docking of the video equipment is supported, namely, three fields of name, type and video are automatically docked, and seamless integration of equipment data and a model is ensured;

and an automatic binding portal is used for providing a plurality of data binding portals, including selecting through a menu, directly clicking a binding button or selecting a bound model, so as to help a user to more conveniently complete the binding of the device data.

4. The method for binding data of a multi-format digital twin model internet of things device according to claim 1, wherein the application of the workflow engine technology specifically comprises:

DataEngineFlow class defining a class 'DataEngineFlow' specially used for data binding, creating a 'DataEngineFlow' instance every time the device data is bound, wherein the instance holds all information related to binding, including device type, data format and binding state;

event queue management, namely, each step of data binding can be automatically triggered through an event queue mechanism, wherein the steps comprise data acquisition, format conversion and binding verification;

And dynamically mapping and adjusting, namely automatically adjusting binding logic according to the type and the data format of the equipment, and ensuring that the newly accessed equipment can be quickly incorporated into the existing binding flow.

5. The method for binding data of a multi-format digital twin model internet of things device according to claim 1, wherein the introducing of the tool class function specifically comprises:

the connector is used for splicing a plurality of data fields into a complete character string or integrating data from different sources together so as to facilitate unified processing;

the decimal preserving function is provided, and the user sets the bit number after decimal point according to the actual requirement to ensure the data precision;

type conversion, namely supporting conversion between character strings and numerical types, ensuring that different types of data can be processed under a unified framework, prompting that the content cannot be converted and preventing connection operation if some types cannot support conversion;

constant and enumeration, namely, inputting fixed character string constant by a user or distributing specific enumeration values for input values, supporting at most 10 enumeration values, and allowing enumeration limitation to be adjusted according to requirements.

6. The method for binding data of a multi-format digital twin model internet of things device according to claim 1, wherein the testing and submitting mechanism is specifically as follows:

The system can verify whether each model has at least one field which is correctly bound with a data source or not, and provide a detailed test report;

and the submitting function is to submit the binding result by the user after passing the test, and the submitting operation saves all the binding configuration into the system and takes effect immediately, so as to ensure that the binding equipment data can be reflected in the digital twin model in real time.

7. The multi-format digital twin model internet of things device data binding method of claim 1, wherein the real-time rendering and panel development are specifically as follows:

The embedded panel supports to pop up the real-time display panel at any position, and a user can check the data binding condition of the current equipment and the real-time state change of the model through the panels;

The iframe supports that the panel also supports embedded iframe display, so that a user is allowed to embed the display panel into other applications, and the integration capability and operability of the system are enhanced.