CN117195379A - Quick deployment method of digital twin simulation exhibition hall based on artificial intelligence - Google Patents
Quick deployment method of digital twin simulation exhibition hall based on artificial intelligence Download PDFInfo
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Abstract
The application relates to a rapid deployment method of a digital twin simulation exhibition hall based on artificial intelligence, and relates to the technical field of digital twin. The digital twin technology can be utilized to simulate the deployment and management of the exhibition hall, the deployment efficiency of the digital/intelligent exhibition hall is accelerated, the on-site deployment data acquisition can be performed in an unmanned manner, the on-site deployment efficiency of the exhibition hall deployment is improved, and the deployment cost is reduced. Through the digital twin exhibition hall model, the deployed exhibition hall can be based on the digital twin simulation model, further digital control of the exhibition hall is realized, the control degree of freedom of the exhibition hall is improved, unified and multiple exhibition halls can be controlled through the background, the background data management of multiple exhibition halls is realized through the background, the data configuration is realized, and the intelligent exhibition hall can be timely and uniformly put into the content display of the next round, so that the utilization efficiency is improved.
Description
Technical Field
The application relates to the technical field of digital twinning, in particular to a rapid deployment method of a digital twinning simulation exhibition hall based on artificial intelligence.
Background
Digital twinning can be regarded as a virtual model of a real system, which links the physical world and the digital world by integrating sensors, models, data and algorithms, and by copying the process of changing and evolving with time of the real system, an updatable, maintainable, visual, interactive digital copy can be generated, improving the efficiency and reliability of the system. The application fields of digital twinning are very wide, including manufacturing industry, city planning, construction, traffic, energy sources, etc.
The main technical principles of the digital twin technology comprise data acquisition, data processing, model construction, simulation execution and the like, and specifically comprise the following steps:
1. and (3) data acquisition: digital twinning requires a large amount of sensor data to model and simulate, including physical process variables, environmental parameters, operating conditions, and the like.
2. And (3) data processing: digital twinning requires processing of a large amount of data, including data cleansing, data storage, data processing, data analysis, etc., which all require powerful data processing capability support.
3. Model construction: digital twinning requires the establishment of a quantized model for describing the characteristics and rules of a physical process, and the model can be based on physical, chemical, engineering and other aspects, or can be based on machine learning, artificial intelligence and other technologies.
4. Simulation execution: the digital twinning needs to simulate the physical process by using simulation software, and a proper simulation model is constructed according to the model to perform simulation and data analysis so as to perform optimization and control.
The digital exhibition hall is also called a digital exhibition hall, can integrate high-tech technologies such as cloud computing, the Internet of things, mobile communication, multimedia exhibition, three-dimensional interactive exhibition and the like, realize information automatic perception, real-time transmission and excavation processing, help intelligent exhibition hall users to achieve the purposes of accurate management, whole-course service and interactive experience, and the existing intelligent exhibition hall, such as an intelligent image system, scientific and technological exhibition, a museum, a commemorative hall and the like, can provide very intelligent exhibition functions for users, tourists and the like. But some problems are also found when deploying these intelligent showrooms:
firstly, when the exhibition halls are deployed, manual data acquisition is needed to be carried out on exhibition sites in the early stage, and the deployment area of the exhibition halls, the number of the adapted exhibition halls and the deployment space are calculated. Therefore, a great deal of labor and time cost is consumed before the process, the data acquisition and the on-site work distribution of the deployment position are carried out, the efficiency is very slow in the mode of manually acquiring the data and the on-site deployment of the subsequent hall position, the on-site development and the on-site deployment plan of an exhibition hall can basically last for about one week, and if the on-site area is larger, the consumption cost is more.
Secondly, facing the deployed intelligent exhibition hall, the intelligent system of the intelligent exhibition hall needs to be configured with the audio and video data and the like needing to be exhibited, and after the intelligent system of the exhibition hall is started in the later period, the audio and video data and the like can be visually displayed for tourists and other users. Subsequently, the content of the exhibited content needs to be adjusted or replaced, and the content needs to be controlled. The existing data configuration and control of the intelligent exhibition hall system are basically one-to-one system configuration modes, namely, staff configures and inputs the exhibition hall contents into the corresponding intelligent exhibition hall through a controller, other intelligent exhibition halls are similarly configured, if the number of the intelligent exhibition halls is large, the problems of low efficiency of replacement and untimely operation of the exhibition hall contents can exist, and meanwhile, the release benefits of the intelligent exhibition halls can be wasted, so that the intelligent exhibition halls cannot timely and uniformly release the next round of content display.
If the digital twin technology can be utilized to simulate the deployment of the exhibition hall, the deployment defect of the exhibition hall can be certainly solved, and the deployed exhibition hall can be based on the digital twin simulation model, so that further digital control of the exhibition hall is realized, and the deployment and application efficiency of the exhibition hall is improved.
Disclosure of Invention
In order to solve the problems, the application provides a rapid deployment method of a digital twin simulation exhibition hall based on artificial intelligence.
The application provides a rapid deployment method of a digital twin simulation exhibition hall based on artificial intelligence, which comprises the following steps:
collecting exhibition hall deployment site parameters and reporting the parameters to a background server;
the background server analyzes the deployment site parameters of the exhibition halls, intelligently distributes the deployment positions of each intelligent exhibition hall M, and configures exhibition hall data L for each deployment position through a data configuration module;
importing the deployment position into a digital twin simulation platform, reading exhibition hall data L configured in the deployment position, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform according to the exhibition hall data L;
generating a mapping matching relation X between the intelligent exhibition hall M, the exhibition hall data L and the exhibition hall model N by using an exhibition hall management module:
{M1，N1，L1
M2，N2，L2
......
mn, nn, ln }; the method comprises the steps of,
and dynamically managing the mapping matching relation X, and realizing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state.
As an optional embodiment of the present application, optionally, collecting the exhibition hall deployment site parameters and reporting to a background server, including:
acquiring a field image of the exhibition hall deployment site through image acquisition equipment deployed at the exhibition hall deployment site;
the field image is sent to a management terminal deployed at the exhibition hall deployment site, and the management terminal reports the field image to the background server;
wherein,
the image acquisition equipment is distributed at each deployment point of the exhibition hall deployment site and is used for acquiring field images p of each deployment point, and the background server acquires a field image set { p1, p2, p3... } of the exhibition hall deployment site in a preset early deployment stage.
As an optional embodiment of the present application, optionally, the background server analyzes the deployment site parameters of the exhibition hall, and intelligently allocates deployment positions of each intelligent exhibition hall M, including:
the background server sending a set of site images { p1, p2, p3...} of the exhibition hall deployment site to the exhibition hall service module;
the exhibition hall service module deploys a set of field images { P1, P2, p3. image fusion is performed, obtaining a fusion image P of the exhibition hall deployment site;
preprocessing the fusion image P, and extracting the image contour of the fusion image P based on a contour recognition algorithm;
constructing a simulation environment corresponding to the exhibition hall deployment site on the digital twin simulation platform based on the image contour;
informing the management terminal of the requirement information of each intelligent exhibition hall M to be deployed, and forwarding the requirement information to the exhibition hall service module by the background server;
the exhibition hall service module intelligently distributes the deployment positions of the intelligent exhibition halls M according to the demand information, and marks the deployment positions of the intelligent exhibition halls M to be deployed in the simulation environment.
As an optional embodiment of the present application, optionally after intelligently allocating the deployment location of each intelligent exhibition hall M, further includes:
registering, on the exhibition hall service module, a deployment location ID of the deployment location of each intelligent exhibition hall M;
generating a registration form of the deployment location ID of each intelligent exhibition M, and forwarding the registration form to each of the management terminals through the backend server.
As an optional embodiment of the present application, optionally, configuring, by the data configuration module, the exhibition hall data L for each of the deployment locations includes:
forwarding the demand information of each intelligent exhibition hall M to the data configuration module through the background server;
the data configuration module reads the demand information and acquires the data display attribute to be displayed of each intelligent exhibition hall M;
and calling exhibition hall data L matched with the data display attribute from a DB database, and binding the exhibition hall data L with the deployment position ID of each intelligent exhibition hall M.
As an optional embodiment of the present application, optionally, importing the deployment location into a digital twin simulation platform, reading exhibition hall data L configured in the deployment location, and constructing an exhibition hall model N corresponding to each of the intelligent exhibition halls M on the digital twin simulation platform according to the exhibition hall data L, including:
importing the deployment position ID and the bound exhibition hall data L into the digital twin simulation platform through the exhibition hall service module;
creating a model file of the deployment position ID on the digital twin simulation platform, and carrying out model configuration of the exhibition hall data L on the model file to obtain a corresponding exhibition hall model N;
sequentially reading the deployment position IDs of all intelligent exhibition halls M in the registration form, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform based on the steps;
and storing each exhibition hall model N in a DB database.
As an optional implementation manner of the present application, optionally, dynamically managing the mapping matching relationship X, and implementing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state, includes:
through the exhibition hall management module, based on the mapping matching relation X, performing operation management of the corresponding exhibition hall model N in a simulation mode, and sending simulation operation data to the corresponding intelligent exhibition hall M through the background server;
in the operation process, the operation data of the intelligent exhibition hall M are collected through an industrial gateway and reported to the background server, and then the operation data are forwarded to the exhibition hall service module through the background server;
the exhibition hall service module analyzes and obtains the exhibition hall state of the intelligent exhibition hall M according to the operation data of the intelligent exhibition hall M, and judges whether to activate the intelligent exhibition hall M:
if the exhibition hall state of the intelligent exhibition hall M is an operation state, the intelligent exhibition hall M is kept to operate;
otherwise, judging whether the management terminal reports a change instruction to the intelligent exhibition hall M to the background server or not:
and if a change instruction to the intelligent exhibition hall M forwarded by the background server is received, the intelligent exhibition hall M is subjected to exhibition hall data L configuration again.
The application has the technical effects that:
the application collects the deployment site parameters of the exhibition hall and reports the parameters to the background server; the background server analyzes the deployment site parameters of the exhibition halls, intelligently distributes the deployment positions of each intelligent exhibition hall M, and configures exhibition hall data L for each deployment position through a data configuration module; importing the deployment position into a digital twin simulation platform, reading exhibition hall data L configured in the deployment position, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform according to the exhibition hall data L; generating a mapping matching relation X among the intelligent exhibition hall M, the exhibition hall data L and the exhibition hall model N by using an exhibition hall service module; and dynamically managing the mapping matching relation X through an exhibition hall management module, and realizing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state. The digital twin technology can be utilized to simulate the deployment and management of the exhibition hall, the deployment efficiency of the digital/intelligent exhibition hall is accelerated, the on-site deployment data acquisition can be performed in an unmanned manner, the on-site deployment efficiency of the exhibition hall deployment is improved, and the deployment cost is reduced. Through the digital twin exhibition hall model, the deployed exhibition hall can be based on the digital twin simulation model, further digital control of the exhibition hall is realized, the control degree of freedom of the exhibition hall is improved, unified and multiple exhibition halls can be controlled through the background, the background data management of multiple exhibition halls is realized through the background, the data configuration is realized, and the intelligent exhibition hall can be timely and uniformly put into the content display of the next round, so that the utilization efficiency is improved.
Other features and aspects of the present application will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of an architecture of a deployment and management platform for a digital twin simulation exhibition of the present application;
FIG. 2 shows a schematic flow chart of an embodiment of the application;
FIG. 3 is a schematic illustration of an application of the field acquisition system of the present application;
fig. 4 shows a schematic representation of the generation of a model for an exhibition hall according to the application.
Description of the embodiments
Various exemplary embodiments, features and aspects of the application will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following description in order to provide a better illustration of the application. It will be understood by those skilled in the art that the present application may be practiced without some of these specific details. In some instances, well known means, elements and circuits have not been described in detail so as not to obscure the present application.
Examples
The scheme utilizes the digital twin technology to simulate the deployment and management of the exhibition hall, accelerates the deployment efficiency of the digital/intelligent exhibition hall, can perform on-site deployment data acquisition in an unmanned manner, improves the on-site deployment efficiency of the exhibition hall deployment, and reduces the deployment cost.
As shown in fig. 1, an application architecture diagram of the present solution is mainly composed of a management terminal, a background server, an industrial gateway and intelligent exhibition halls of each physical layer, where the background server performs data communication with the intelligent exhibition halls of each physical layer through the industrial gateway, and may use a unified digital model interface to perform data control and transmission, and the communication mode between the management terminal and the background server is not limited in this embodiment.
When the intelligent exhibition hall digital control system is specifically applied, the field equipment can be used for collecting data, the background server is used for carrying out digital twin modeling on each intelligent exhibition hall in the field, and the digital control on each intelligent exhibition hall of the physical layer is realized based on the corresponding mapping relation between the constructed model and the corresponding intelligent exhibition hall.
In the scheme, when digital modeling is performed, the digital twin simulation application software adopted on the background server is not limited, and the background manager administator is used for installation and application.
The application of the present system will be described in connection with specific application cases.
As shown in fig. 2, in one aspect of the present application, a method for rapidly deploying a digital twin simulation exhibition hall based on artificial intelligence is provided, which includes the following steps:
collecting exhibition hall deployment site parameters and reporting the parameters to a background server;
the background server analyzes the deployment site parameters of the exhibition halls, intelligently distributes the deployment positions of each intelligent exhibition hall M, and configures exhibition hall data L for each deployment position through a data configuration module;
importing the deployment position into a digital twin simulation platform, reading exhibition hall data L configured in the deployment position, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform according to the exhibition hall data L;
generating a mapping matching relation X between the intelligent exhibition hall M, the exhibition hall data L and the exhibition hall model N by using an exhibition hall management module:
{M1，N1，L1
M2，N2，L2
......
mn, nn, ln }; the method comprises the steps of,
and dynamically managing the mapping matching relation X, and realizing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state.
When the scheme is implemented, on-site parameter acquisition equipment can be installed on the site where the digital exhibition hall needs to be deployed, and communication connection between each acquisition equipment and a management terminal held by site personnel is established in advance. The field parameters acquired by the acquisition equipment can be sent to the management terminal, the management terminal reports the field parameters to the background server, and the background server can analyze scene data required by deployment of the exhibition hall according to the field parameters and establish corresponding deployment of the exhibition hall according to the scene data.
And the background establishes a digital twin simulation model according to the scene data. And constructing a exhibition hall model corresponding to each position point exhibition hall by using digital twin simulation application software installed on a background, generating mapping matching relations among the intelligent exhibition hall, exhibition hall data and the exhibition hall model on the background, and realizing digital control on the physical layer self-provided exhibition hall by combining a digital simulation platform through digital management and parameter control of the twin model by using the mapping matching relations by a subsequent background server.
The construction of the simulation model based on digital twin can be seen from the existing digital twin simulation technology.
By adopting the deployment mode of the exhibition hall, the on-site deployment management of deployment points can be carried out, the deployment management and control can be carried out by a background, the exhibition hall deployment scheme of each deployment position point is issued to the management terminal, the on-site confusion is avoided, the task scheduling and management of on-site deployment can be realized by one key based on the deployment mode, the work sequence of on-site exhibition hall workers is distributed, the deployment of the on-site exhibition hall is carried out uniformly according to the deployment mode of the background, the management efficiency of the exhibition hall deployment can be optimally realized, the work tasks of each exhibition hall worker are orderly arranged and scheduled, and the deployment efficiency of the exhibition hall is improved.
The following will describe in detail.
As an optional embodiment of the present application, optionally, collecting the exhibition hall deployment site parameters and reporting to a background server, including:
acquiring a field image of the exhibition hall deployment site through image acquisition equipment deployed at the exhibition hall deployment site;
the field image is sent to a management terminal deployed at the exhibition hall deployment site, and the management terminal reports the field image to the background server;
wherein,
the image acquisition equipment is distributed at each deployment point of the exhibition hall deployment site and is used for acquiring field images p of each deployment point, and the background server acquires a field image set { p1, p2, p3... } of the exhibition hall deployment site in a preset early deployment stage.
As shown in fig. 3, at the deployment site, the site monitoring image of the deployment site can be acquired and sent to the management terminal of the site manager through an image acquisition device deployed on the site, such as an infrared camera.
The field can be configured with a plurality of field administrators according to the areas, the image monitoring images of each field area are collected and reported to a background server through the management terminal (monitoring host) of each field administrator, and the subsequent background server can further recognize and process the field images according to the collected data reported by each management terminal.
The background can receive the collected images reported by the management terminals and store the received images, can buffer the collected images into a DB database on a background server, can further generate field image sets { p1, p2 and p3. according to the field images reported by the management terminals in each area, and can fuse the field image machines acquired in the earlier deployment stage when the images are processed later.
As an optional embodiment of the present application, optionally, the background server analyzes the deployment site parameters of the exhibition hall, and intelligently allocates deployment positions of each intelligent exhibition hall M, including:
the background server sending a set of site images { p1, p2, p3...} of the exhibition hall deployment site to the exhibition hall service module;
the exhibition hall service module deploys a set of field images { P1, P2, p3. image fusion is performed, obtaining a fusion image P of the exhibition hall deployment site;
preprocessing the fusion image P, and extracting the image contour of the fusion image P based on a contour recognition algorithm;
constructing a simulation environment corresponding to the exhibition hall deployment site on the digital twin simulation platform based on the image contour;
informing the management terminal of the requirement information of each intelligent exhibition hall M to be deployed, and forwarding the requirement information to the exhibition hall service module by the background server;
the exhibition hall service module intelligently distributes the deployment positions of the intelligent exhibition halls M according to the demand information, and marks the deployment positions of the intelligent exhibition halls M to be deployed in the simulation environment.
In the live image set { p1, p2, p3...the live acquisition images of several areas are included, these images p1, p2, p3...in, there may be intersecting image areas (without considering the image is true, the default site is fully covered), so image stitching, fusion is required.
And the background exhibition hall service module is used for image processing and comprises subsequent exhibition hall management services.
The background server can forward the live images to the exhibition hall service module, and the exhibition hall service module can call a corresponding image fusion algorithm to carry out image fusion on each live region image in the live image set, for example, the images are fused into a fused image which can be recognized and represents the deployment site of the exhibition hall.
The fusion image consists of a plurality of field area images, and is equivalent to the field image formed by splicing the outlines of the field area images.
Shadow images and other defects may exist in live images, so that image preprocessing may be used to process the defects on the image, for example, formatting the shadows, fusing them into uniform gray values, and avoiding image shadows. The method can also utilize image processing software to calculate the flying degree value of the whole fusion image, and uniformly format the pixel points exceeding the gray threshold value. If the image boundary is not clear, a filling mode can be adopted to fill the missing image boundary, and the like.
The preprocessing may be assisted by a background administrator.
After the fusion image of the exhibition hall deployment site is obtained by adopting an image fusion technology, the image contour of the fusion image can be extracted based on a contour recognition algorithm, and the image contour can represent the site contour of the exhibition hall deployment site. Based on the live contours, the approximate contour shape and size of the image contours can be calculated and identified by the exhibition service module.
The exhibition hall service module can call a digital twin simulation platform based on the image contour data, simulate and construct an exhibition hall deployment site contour model corresponding to the image contour on the platform, use the contour model as a simulation environment of an exhibition hall deployment site, further construct deployment points of each exhibition hall based on the simulation environment, and configure a corresponding exhibition hall model.
Because the content that each exhibition hall needs to show and the requirement of exhibition hall are different, the responsible person of each exhibition hall can inform the staff responsible for corresponding exhibition hall of the requirement information of each exhibition hall, and the staff of corresponding exhibition hall reports the requirement information of each exhibition hall to a background server through a management terminal. The requirement information comprises the audio and video data of the exhibition hall to be exhibited and the data exhibiting requirements, including formats, exhibiting time and the like.
The background forwards the demand information of each exhibition hall to an exhibition hall service module, and the exhibition hall service module takes out the corresponding exhibition hall data according to the demand information and intelligently distributes the deployment positions of each exhibition hall. The intelligent allocation is carried out on the deployment positions of each exhibition hall on the simulation environment, specifically, when the intelligent allocation is carried out, the exhibition hall service module can read the requirement information, the positions of each exhibition hall which is wanted to be deployed are known from the requirement information, the deployment positions of each exhibition hall on the simulation environment are specifically allocated according to the service rules of the exhibition hall such as the position charging rules, after the allocation is carried out, the deployment points of each exhibition hall are marked in the simulation environment according to the allocated positions, and therefore, the exhibition hall service module comprehensively allocates the deployment positions of each exhibition hall in the simulation environment by combining the charging rules allocated by the exhibition hall positions and the requirements of users on the exhibition hall.
As an optional embodiment of the present application, optionally after intelligently allocating the deployment location of each intelligent exhibition hall M, further includes:
registering, on the exhibition hall service module, a deployment location ID of the deployment location of each intelligent exhibition hall M;
generating a registration form of the deployment location ID of each intelligent exhibition M, and forwarding the registration form to each of the management terminals through the backend server.
In order to facilitate unified management and background scheduling of each digital twin exhibition hall model, the exhibition hall service module can register the allocated deployment point positions of each self-expense exhibition hall, bind each deployment position with each exhibition hall, and register and store the deployment position ID of each intelligent exhibition hall on the exhibition hall service module. The exhibition hall service module can register the deployment position IDs of all exhibition halls and generate a registration form, and the registration form can be issued to the management terminal through the background.
The management terminal can inform the responsible persons of each exhibition hall of the site positions where the exhibition halls should be deployed, so that the responsible persons of the exhibition halls on site can conveniently manage each exhibition hall in a unified way, and disorder of exhibition hall management caused by non-uniform positions of deployment points of each exhibition hall is avoided, so that the enthusiasm and efficiency of the deployment of the exhibition halls on site are improved.
As an optional embodiment of the present application, optionally, configuring, by the data configuration module, the exhibition hall data L for each of the deployment locations includes:
forwarding the demand information of each intelligent exhibition hall M to the data configuration module through the background server;
the data configuration module reads the demand information and acquires the data display attribute to be displayed of each intelligent exhibition hall M;
and calling exhibition hall data L matched with the data display attribute from a DB database, and binding the exhibition hall data L with the deployment position ID of each intelligent exhibition hall M.
The data configuration of the display content is needed in each exhibition hall, so that the management terminal can collect and report the content data of each exhibition hall to the background, the background is forwarded to the data configuration module, and the data configuration module reads the demand information of each intelligent exhibition hall and knows the data demand information to be displayed in each intelligent exhibition hall.
According to the display attribute of the data, for example, the data to be displayed is audio or video or the data display attribute of the combination questions of audio and video, the exhibition hall data L matched with the data display attribute can be called out from the DB database.
The DB database stores a plurality of exhibition hall data L in advance and is used for configuring model structure parameters of an exhibition hall model. After the exhibition hall data is input, a corresponding exhibition hall model file can be quickly generated on the digital twin simulation platform based on the exhibition hall data.
When a model file on the platform is configured, model parameters in the model are automatically changed and updated, and a corresponding exhibition hall model is regenerated on the digital twin simulation platform according to the updated model parameters, so that the corresponding exhibition hall model can be more quickly constructed and generated.
The exhibition hall data (structured data) of various attributes pre-stored in advance in the DB database can be configured and saved in advance by a background manager. If the exhibition hall data does not exist, a background administrator can temporarily construct corresponding exhibition hall data on the digital twin simulation platform according to the data display attribute of the demand information.
The exhibition hall data is essentially a structured model parameter that, when read on the simulation platform, can generate a standardized exhibition hall model.
As an optional embodiment of the present application, optionally, importing the deployment location into a digital twin simulation platform, reading exhibition hall data L configured in the deployment location, and constructing an exhibition hall model N corresponding to each of the intelligent exhibition halls M on the digital twin simulation platform according to the exhibition hall data L, including:
importing the deployment position ID and the bound exhibition hall data L into the digital twin simulation platform through the exhibition hall service module;
creating a model file of the deployment position ID on the digital twin simulation platform, and carrying out model configuration of the exhibition hall data L on the model file to obtain a corresponding exhibition hall model N;
sequentially reading the deployment position IDs of all intelligent exhibition halls M in the registration form, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform based on the steps;
and storing each exhibition hall model N in a DB database.
As shown in fig. 4, the exhibition hall service module can perform simulation communication with the digital twin simulation platform according to the form. And calling the digital twin simulation platform, and creating model files of all the position points on the digital twin simulation platform. At the time of creation, a standardized model file (digital twin simulation standard model) may be retrieved and generated from the DB database. After the model file is bound with the deployment position ID, the exhibition hall data bound with the deployment position ID is input into the digital twin simulation platform, and model parameters of the model file are replaced by a model database of the digital twin simulation platform: and sequentially writing each model parameter contained in the exhibition hall data into the corresponding parameter of the model file, so as to realize the replacement of the model parameters. After each exhibition hall data is configured into the model file, the model parameters in the model file are written in, the digital twin simulation platform can regenerate and update the model structure based on the written parameters, the table data, the content to be displayed and the like of the model are replaced by data, and the regenerated exhibition hall model is matched with exhibition hall demand information bound with the corresponding deployment position ID.
The exhibition hall model and the physical layer exhibition hall at the corresponding deployment position can realize consistent digital twin simulation butt joint, and the exhibition hall model can be simulated, analyzed and controlled based on the digital control of the digital twin simulation platform, so that the digital synchronous control of the exhibition hall of the physical layer is realized. For example, the operation of the exhibition hall model is activated and controlled on a digital twin simulation platform, the digital twin simulation platform can synchronously issue corresponding control instructions to the background, and the background issues the corresponding control instructions to the corresponding physical layer exhibition hall by the industrial gateway, so that the digital twin control is synchronously realized.
According to the construction of the model, each deployment location ID in the registration form can be sequentially read, and a corresponding exhibition hall model N is established.
As an optional implementation manner of the present application, optionally, dynamically managing the mapping matching relationship X, and implementing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state, includes:
through the exhibition hall management module, based on the mapping matching relation X, performing operation management of the corresponding exhibition hall model N in a simulation mode, and sending simulation operation data to the corresponding intelligent exhibition hall M through the background server;
in the running process, the running data of the intelligent exhibition hall M is collected through an industrial gateway and reported to the background server, and then the running data is forwarded to the exhibition hall management module through the background server;
the exhibition hall management module analyzes and obtains the exhibition hall state of the intelligent exhibition hall M according to the operation data of the intelligent exhibition hall M, and judges whether to activate the intelligent exhibition hall M:
if the exhibition hall state of the intelligent exhibition hall M is an operation state, the intelligent exhibition hall M is kept to operate;
otherwise, judging whether the management terminal reports a change instruction to the intelligent exhibition hall M to the background server or not:
and if a change instruction to the intelligent exhibition hall M forwarded by the background server is received, the intelligent exhibition hall M is subjected to exhibition hall data L configuration again.
For dynamic management between each exhibition hall model on the background service layer and each intelligent exhibition hall deployed on the physical layer, the mapping matching relationship between the intelligent exhibition hall and the exhibition hall model is required to carry out dynamic mapping management of the background.
The exhibition hall service module can generate and store a mapping matching relation X between the intelligent exhibition hall M and the exhibition hall model N when constructing the exhibition hall model N corresponding to the intelligent exhibition hall M.
The exhibition hall management module is used for generating a mapping matching relation X between the intelligent exhibition hall M, the exhibition hall data L and the exhibition hall model N:
{M1，N1，L1
M2，N2，L2
......
Mn，Nn，Ln}。
the mapping matching relation X can be stored by the exhibition hall management module, and digital twin simulation control can be carried out on each intelligent exhibition hall M according to the mapping matching relation X.
For digital twin simulation control, an exhibition hall management module is deployed on a background server, and the exhibition hall management module can dynamically manage. The booth management module may bind the mapping matching relationship X under the deployment location ID of the corresponding booth model N (intelligent booth M).
The exhibition hall management module can carry out digital twin simulation management on each intelligent exhibition hall M according to the mapping matching relation X. And sending a simulation execution instruction for running management to a certain exhibition hall model N through a simulation platform. When the exhibition hall model N carries out the corresponding simulation execution instruction in a simulation manner, the digital twin simulation platform can also send a corresponding exhibition hall operation instruction to the background. The exhibition hall operation instruction is consistent with the simulation execution instruction of operation management sent to the exhibition hall model, except that the background server receives the simulation operation instruction, generates a control signal, and sends the control signal to the corresponding intelligent exhibition hall M through the industrial gateway, and the corresponding intelligent exhibition hall M executes the control signal and executes the action consistent with the simulation execution of the corresponding exhibition hall model.
The intelligent exhibition hall M communicates with the background server through the industrial gateway, and the operation data of the intelligent exhibition hall M can be reported to the background server in real time. The background server forwards the operation data to the exhibition hall management module, the exhibition hall management module analyzes the operation data to obtain the exhibition hall state of the intelligent exhibition hall M, the exhibition hall state is judged to be an idle state or an operation state, whether the state of the exhibition hall is normal or not can be judged through the operation data, and the background server can be used for other state analysis, and is formulated by a background manager.
The exhibition hall management module is used for judging that the self-fee exhibition hall is in an operation state and keeping the self-fee exhibition hall to operate; if the intelligent exhibition hall M is in a non-operation state, the operation state of the intelligent exhibition hall M can be further analyzed to obtain which working result. When judging that the self-paying exhibition hall is in a non-operation state, the management terminal of the corresponding exhibition hall can judge whether to report a change instruction of the non-operation state intelligent exhibition hall to the background within the following ten minutes, for example, when a field manager finds that a certain intelligent exhibition hall is in the non-operation state, the operation release of the intelligent exhibition hall can be judged to be finished, the management terminal can report to the manager, and the background is reported through the management terminal. Therefore, the background can transfer the instruction to the exhibition hall management module, and the exhibition hall data configuration is carried out on the intelligent exhibition hall M in the non-running state again according to the data in the change instruction. The change instruction contains the display data of the next round, and the exhibition hall management module can reconfigure the exhibition hall data of the exhibition hall model of the intelligent exhibition hall M.
The execution of the new change instruction can be realized by the exhibition hall management module in cooperation with the exhibition hall service module.
The functions of the exhibition hall service module are detailed in the above description.
Therefore, the application can realize further digital control of the exhibition hall based on the digital twin simulation model by the digital twin exhibition hall model, improve the control freedom degree of the exhibition hall, realize unified and multiple exhibition hall control by the background, realize the background data management of multiple exhibition halls by the background, realize data configuration, and enable the intelligent exhibition hall to timely and uniformly input the content display of the next round, and improve the utilization efficiency.
It should be apparent to those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (7)
1. The rapid deployment method of the digital twin simulation exhibition hall based on the artificial intelligence is characterized by comprising the following steps of:
collecting exhibition hall deployment site parameters and reporting the parameters to a background server;
the background server analyzes the deployment site parameters of the exhibition halls, intelligently distributes the deployment positions of each intelligent exhibition hall M, and configures exhibition hall data L for each deployment position through a data configuration module;
importing the deployment position into a digital twin simulation platform, reading exhibition hall data L configured in the deployment position, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform according to the exhibition hall data L;
generating a mapping matching relation X between the intelligent exhibition hall M, the exhibition hall data L and the exhibition hall model N by using an exhibition hall management module:
{M1，N1，L1
M2，N2，L2
......
mn, nn, ln }; the method comprises the steps of,
and dynamically managing the mapping matching relation X, and realizing intelligent activation management of the intelligent exhibition hall M based on the exhibition hall state.
2. The rapid deployment method of the digital twin simulation exhibition hall based on artificial intelligence according to claim 1, wherein the steps of collecting the exhibition hall deployment field parameters and reporting the parameters to a background server comprise:
acquiring a field image of the exhibition hall deployment site through image acquisition equipment deployed at the exhibition hall deployment site;
the field image is sent to a management terminal deployed at the exhibition hall deployment site, and the management terminal reports the field image to the background server;
wherein,
the image acquisition equipment is distributed at each deployment point of the exhibition hall deployment site and is used for acquiring field images p of each deployment point, and the background server acquires a field image set { p1, p2, p3... } of the exhibition hall deployment site in a preset early deployment stage.
3. The rapid deployment method of a digital twin simulation exhibition hall based on artificial intelligence according to claim 2, wherein the background server analyzes the exhibition hall deployment site parameters, intelligently distributes deployment positions of each intelligent exhibition hall M, and comprises:
the background server sending a set of site images { p1, p2, p3...} of the exhibition hall deployment site to the exhibition hall service module;
the exhibition hall service module deploys a set of field images { P1, P2, p3. image fusion is performed, obtaining a fusion image P of the exhibition hall deployment site;
preprocessing the fusion image P, and extracting the image contour of the fusion image P based on a contour recognition algorithm;
constructing a simulation environment corresponding to the exhibition hall deployment site on the digital twin simulation platform based on the image contour;
informing the management terminal of the requirement information of each intelligent exhibition hall M to be deployed, and forwarding the requirement information to the exhibition hall service module by the background server;
the exhibition hall service module intelligently distributes the deployment positions of the intelligent exhibition halls M according to the demand information, and marks the deployment positions of the intelligent exhibition halls M to be deployed in the simulation environment.
4. A rapid deployment method for an artificial intelligence based digital twin simulation exhibition hall according to claim 3, further comprising, after intelligently allocating the deployment positions of the respective intelligent exhibition hall M:
registering, on the exhibition hall service module, a deployment location ID of the deployment location of each intelligent exhibition hall M;
generating a registration form of the deployment location ID of each intelligent exhibition M, and forwarding the registration form to each of the management terminals through the backend server.
5. A rapid deployment method for an artificial intelligence based digital twin simulation exhibition hall according to claim 3, wherein the deployment of the exhibition hall data L to each deployment location by a data configuration module comprises:
forwarding the demand information of each intelligent exhibition hall M to the data configuration module through the background server;
the data configuration module reads the demand information and acquires the data display attribute to be displayed of each intelligent exhibition hall M;
and calling exhibition hall data L matched with the data display attribute from a DB database, and binding the exhibition hall data L with the deployment position ID of each intelligent exhibition hall M.
6. The rapid deployment method of digital twin simulation exhibition hall based on artificial intelligence according to claim 4, wherein the steps of importing the deployment location into a digital twin simulation platform, reading exhibition hall data L configured in the deployment location, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform according to the exhibition hall data L, comprise:
importing the deployment position ID and the bound exhibition hall data L into the digital twin simulation platform through the exhibition hall service module;
creating a model file of the deployment position ID on the digital twin simulation platform, and carrying out model configuration of the exhibition hall data L on the model file to obtain a corresponding exhibition hall model N;
sequentially reading the deployment position IDs of all intelligent exhibition halls M in the registration form, and constructing an exhibition hall model N corresponding to each intelligent exhibition hall M on the digital twin simulation platform based on the steps;
and storing each exhibition hall model N in a DB database.
7. The rapid deployment method of a digital twin simulation exhibition hall based on artificial intelligence according to claim 6, wherein the mapping matching relation X is dynamically managed, and the intelligent activation management of the intelligent exhibition hall M is realized based on the state of the exhibition hall, comprising:
through the exhibition hall management module, based on the mapping matching relation X, performing operation management of the corresponding exhibition hall model N in a simulation mode, and sending simulation operation data to the corresponding intelligent exhibition hall M through the background server;
in the running process, the running data of the intelligent exhibition hall M is collected through an industrial gateway and reported to the background server, and then the running data is forwarded to the exhibition hall management module through the background server;
the exhibition hall management module analyzes and obtains the exhibition hall state of the intelligent exhibition hall M according to the operation data of the intelligent exhibition hall M, and judges whether to activate the intelligent exhibition hall M:
if the exhibition hall state of the intelligent exhibition hall M is an operation state, the intelligent exhibition hall M is kept to operate;
otherwise, judging whether the management terminal reports a change instruction to the intelligent exhibition hall M to the background server or not:
and if a change instruction to the intelligent exhibition hall M forwarded by the background server is received, the intelligent exhibition hall M is subjected to exhibition hall data L configuration again.
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