CN109326003A - A kind of factory's three-dimension monitoring system based on virtual emulation - Google Patents
A kind of factory's three-dimension monitoring system based on virtual emulation Download PDFInfo
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- CN109326003A CN109326003A CN201811434771.6A CN201811434771A CN109326003A CN 109326003 A CN109326003 A CN 109326003A CN 201811434771 A CN201811434771 A CN 201811434771A CN 109326003 A CN109326003 A CN 109326003A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The implementation method of the present invention relates to a kind of factory's three-dimension monitoring system based on virtual emulation, this method utilizes the digital model of Visual Components virtual emulation software building actual physical device, in conjunction with the communication interface and agreement of specific physical equipment, develop a set of data collection system, acquire open data, according to the collected data of institute's energy, digital model to establish in simulation software adds corresponding attribute and behavior, and the Python API for calling simulation software included realizes the data mapping of each attribute between each attribute and data collection system, attribute and the behavior of physical device can be reproduced in virtual emulation software, play the long-range supervisory function bit to actual physical device, the intuitive working condition for showing current device.
Description
Technical field
The invention belongs to intelligent equipment technology fields, and in particular to a kind of factory's three-dimension monitoring system based on virtual emulation
Implementation method.
Background technique
In recent years, with the continuous promotion of device intelligence level, the level of IT application, demographic dividend, made in China 2025,
The advanced manufacturing strategies such as industry 4.0 or manufacturing mode emerge in large numbers, and realize that real intelligence manufacture becomes what current various countries were pursued jointly
One of target.One of the bottleneck for realizing this target be how to realize the interaction of the physical world and information world of the manufacturing with
It is co-melting, and the twin technology of number is as realization physical world and information world real-time, interactive and a kind of effective ways merged, by
To extensive concern.
Twin number is to make full use of the data such as physical model, sensor update, history run, integrates multidisciplinary, more objects
The simulation process of reason amount, multiple dimensioned, more probability completes mapping, to reflect a variety of of respective physical equipment in Virtual Space
Real-time dynamic operating conditions in element and whole life cycle, thus realize system monitoring O&M, process and system optimization, when
Between predict and simulation etc. functions.
MES system is mostly used to carry out production equipment greatly for some automatic production lines, automatic factory or workshop at present
The acquisition and monitoring of data, but the data acquired are mostly the data of equipment operation, and the personnel of profession is needed just to can be appreciated that this number
According to the state of the equipment of expression, data present not intuitive enough, it is difficult to the operating status of intuitive reflection equipment；Also there are a small number of enterprises at present
Industry has used three-dimensional dynamic monitoring system, establishes the model of the equipment of entire producing line from bottom by OpenGL, by model with
The data of acquisition interact, and realize three-dimensional dynamic monitoring, but entire producing line equipment is numerous, establishes equipment digital-to-analogue expense from bottom
When it is laborious, considerably increase development cycle and the cost of entire monitoring system, be unfavorable for the exploitation of entire monitoring system；In addition,
The production process of factory is often the production process of a DYNAMIC COMPLEX, is difficult only by simple calculating come the entire scheduled production of decision
Whether reasonable, cause the production efficiency of production line not high, each production equipment is not utilized rationally if planning.
Summary of the invention
In order to solve the above problem in the prior art, the present invention provides a kind of factory's 3 D monitoring based on virtual emulation
Network system realization realizes the quick exploitation of production line three-dimension monitoring system.
The technical solution adopted by the present invention is specific as follows:
A kind of factory's three-dimension monitoring system implementation method based on virtual emulation, which comprises the following steps:
Step 1: the number of actual physical device is established using digital factory simulation software Visual Components
Change model, corresponding node is established according to the action situation of equipment, and add corresponding attribute and behavior；
Step 2: the data of acquisition can be opened by obtaining actual physical device, and be connect according to the communication of actual physical device
Mouth and agreement develop data collection system；
Step 3: according to can collected actual physical device data, be digital factory simulation software Visual
The digital model established in Components adds corresponding attribute and behavior；
Step 4: the data mapping mode of data collection system and digital model is defined, using ICP/IP protocol, in number
According to the module for increasing itself and the communication of virtual emulation digital model in acquisition system, collected data are sent to virtual emulation
Digital model；
Step 5: according to the mode of data collection system and the mapping of virtual emulation digital model data, Visual is called
The Python API that Components software provides develops communication module, is acquired the reception of data；
Step 6: PythonScript behavior is added in virtual emulation digital model component, in PythonScript
Middle definition virtual emulation digital model component handles logic accordingly after receiving the data；
Step 7: operation data acquisition system carries out the data acquisition in physical equipment, in digital factory simulation software
Data acquisition software is connected in the simulated environment of Visual Components, runs simulated environment, data collection system is in real time
The data of acquisition are sent to digital factory simulation software Visual Components, digital factory simulation software
The data that real-time reception acquires in Visual Components, and according to the mapping relations established in step 5, by what is received
Collected data are mapped as the data in mathematical model, then using fixed in the PythonScript behavior established in step 6
Justice handles logic to handle digital model accordingly accordingly after receiving the data, realizes field device monitoring.
Further, the step 1 further comprises:
The virtual emulation software used is Visual Components software, specific number modeling process are as follows:
If virtual emulation software Visual Components, containing the model of actual physical device, detects each size, behavior from tape pool
Whether match, is modified accordingly if mismatching, if virtual emulation software Visual Components with actual physical device
From in tape pool without the model of actual physical device, the threedimensional model of equipment is first established in 3 d modeling software, is then introduced into void
In quasi- simulation software Visual Components, corresponding node, attribute, behavior are defined.
Further, data collection system described in step 2 is existed in VS2015 exploitation environment using C# language
It is developed under Winform frame, this system not only has the function of data acquisition, is also equipped with the function of control field device.
Further, the collected data are the number that the mounted sensor of site physical equipment can be collected
According to, comprising displacement, speed.
Further, the attribute and behavior that digital model adds in the step 3 specifically include: shape data attribute,
Real-coded GA attribute, Boolean type data attribute, character type data attribute, Controller behavior, Container behavior,
Signal behavior, PythonScript behavior etc..
Further, in the step 6, the processing logic of the simulation model component includes when collected information is sent out
When changing, the corresponding state for changing simulation model, action message, status information including each model realize acquisition data
With the mapping one by one of digital model data.
Further, connected between the data collection system and the virtual emulation software by wirelessly or non-wirelessly communication
It connects.
Further, in the step 7, when the data that data collection system is acquired are sent to virtual emulation software,
Data collection system every fixed time period to physical equipment carry out data acquisition, and by the collected data of current slot with
The collected data of previous time period are compared, and judge the inconsistent acquisition data of comparison result, are then only sent and are compared
As a result inconsistent data are to the digital model in virtual emulation software.
Further, in the step 7, when the data that data collection system is acquired are sent to virtual emulation software,
Timestamp and package identification are added in the data of transmission, are 0 when wherein package identification is initial, are all added automatically when sending every time
One；When virtual emulation software receives acquisition data, more currently received package identification and the previous data packet received
Difference between mark will if the difference between currently received package identification and the previous package identification received is 1
Current data packet mark carries out data mapping and executes processing logic；If currently received package identification is received with previous
Package identification between difference be negative, then abandon the data being currently received.
The invention has the benefit that with digital factory simulation software build each equipment of production line threedimensional model and
Layout, greatly reduces time and the cost that Production Line Configured is built from bottom；Realize modeling and layout personnel and data
The decoupling of acquisition system developer reduces the requirement of production line three-dimension monitoring system developer, shortens the week of exploitation
Phase；Production process simulation and optimization can be carried out in Virtual Space before actual production, find before production potential
Problem improves producing line production efficiency.
Detailed description of the invention
Described herein the drawings are intended to provide a further understanding of the invention, constitutes part of this application, but
It does not constitute improper limitations of the present invention, in the accompanying drawings:
Fig. 1 is overall plan figure of the invention.
Fig. 2 is the demonstration of Dobot robot three-dimensional supervisory control system running.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
As shown in Figure 1, it illustrates the present invention is based on the totality of factory's three-dimension monitoring system implementation method of virtual emulation
Conceptual scheme, this method are mainly to build Production Line Configured with digital factory simulation software and simulation software is called to provide
Python API develops its communication module with external program, and the data that data collection system acquires are mapped to production line and are respectively set
On standby model, realizes and the Three-Dimensional Dynamic of produced on-site situation is monitored, steps are as follows for specific method:
Step 1: the number of actual physical device is established using digital factory simulation software Visual Components
Change model, corresponding node is established according to the action situation of equipment, and add corresponding attribute and behavior.
For example, actual production line Zhong Youyitai Dobot robot, first to establish the digital model of Dobot robot
The Dobot robot model for first needing to have built up in three-dimensional software imports in Visual Components software, due to
Dobot robot can be rotated there are four axis, and 2 axis and the driving of 3 axis use link mechanism, so being built first according to the component of movement
It founds corresponding node and adds corresponding kinematic relation, control four axis due to there are four freedom degree, needing to add robot
Behavior, control the rotation of each axis.Joined according to the speed, acceleration of limit and the movement of the practical each axis of Dobot robot
Number, it is consistent with its in simulation model, i.e., in the simulation model in Components software and movement speed, accelerate
It is consistent with the speed, acceleration parameter of limit and movement of the practical each axis of Dobot robot to spend parameter.
Step 2: the data of acquisition can be opened by obtaining actual physical device, and be connect according to the communication of actual physical device
Mouth and agreement develop data collection system.
Step 3: according to step 2 can collected physical device data, be digital factory simulation software
The digital model established in Visual Components adds corresponding attribute and behavior；
For example, Dobot robot described in step 1, needs to add angular displacement, the angular speed, angle in each joint for it
The attributes such as acceleration need to add the behaviors such as actuator, Python script.
Step 4: it defines and establishes in data collection system and digital factory simulation software Visual Components
It is logical with digital model to increase it using ICP/IP protocol in data collection system for the data mapping mode of digital model
The communication module of news sends collected data in digital model；
Step 5: it establishes between the data acquired in data collection system and the data for including in digital model one by one
Mapping relations, the Python API for calling Visual Components software to provide develop communication module, are acquired data
It receives, i.e., data collected in data collection system is mapped as the data in digital model；
Step 6: adding PythonScript behavior in digital model, and digitlization is defined in PythonScript
Model handles logic accordingly after receiving the data；
The processing logic is by executing the behavior or attribute consistent with the data of acquisition to digital model, to realize
The simulation of equipment.
For example, the angular displacement that data collection system collects 1 axis occurs when practical 1 axis of Dobot robot rotates
Variation, then it is corresponding to need the angular displacement for defining 1 axis of Dobot model in Python script that acquire equal to acquisition system at this time
The angular displacement of 1 axis arrived, and control robot motion to corresponding position processing logic.
Step 7: operation data acquisition system carries out the data acquisition in physical equipment, in digital factory simulation software
Data acquisition software is connected in the simulated environment of Visual Components, runs simulated environment, data collection system is in real time
The data of acquisition are sent to digital factory simulation software Visual Components, digital factory simulation software
The data that real-time reception acquires in Visual Components, and according to the mapping relations established in step 5, by what is received
Collected data are mapped as the data in mathematical model, then using fixed in the PythonScript behavior established in step 6
Justice handles logic to handle digital model accordingly accordingly after receiving the data, so that field device monitoring is realized,
Actual monitoring demonstration is as shown in Figure 2.
The Python that the present invention builds Production Line Configured with digital factory simulation software and simulation software is called to provide
API develops its communication module with external program, and the data that data collection system acquires are mapped to each device model of production line
On, it realizes and the Three-Dimensional Dynamic of produced on-site situation is monitored, on the one hand can intuitively monitor the production status of production line, send out in time
The failure of existing production equipment；On the other hand the modeling time for building Production Line Configured from bottom is greatly reduced, shortens three
Tie up the development cycle of monitoring system；Furthermore, it is possible to before actual production, production process simulation and excellent is carried out in Virtual Space
Change, potential problem is found before production, improves producing line production efficiency.
Further, in step 7, when the data that data collection system is acquired are sent to virtual emulation software, by
In its usually transmission in real time and real-time reception, in order to avoid the Caton or reduction conveying capacity, sending method of monitoring make
The mode sent with increment, i.e. data collection system carry out data acquisition to physical equipment every fixed time period, and will be current
Period collected data are compared with the collected data of previous time period, judge the inconsistent acquisition of comparison result
Then data only send the inconsistent data of these comparison results to the digital model in simulation software.
Further, in step 7, in order to solve to send and receive efficiency in real time, timestamp is added when sending data
And package identification, it is 0 when wherein package identification is initial, all adds one when sending every time automatically；Reception mould in simulation software
When block receives acquisition data packet, and between more currently received package identification and the previous package identification received
Difference, if the difference between currently received package identification and the previous package identification received is 1, by current data packet
Mark carries out data mapping and executes processing logic；If currently received package identification and the previous data packet mark received
Difference between knowledge is negative, illustrates that the currently received data packet is out of date, without reprocessing, then abandons currently received data
Packet.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (9)
1. a kind of factory's three-dimension monitoring system implementation method based on virtual emulation, which comprises the following steps:
Step 1: the digitlization mould of actual physical device is established using digital factory simulation software Visual Components
Type establishes corresponding node according to the action situation of equipment, and adds corresponding attribute and behavior；
Step 2: the data acquired can be opened by obtaining actual physical device, and according to the communication interface of actual physical device and
Agreement develops data collection system；
Step 3: according to can collected actual physical device data, be digital factory simulation software Visual
The digital model established in Components adds corresponding attribute and behavior；
Step 4: the data mapping mode for defining data collection system and digital model is adopted using ICP/IP protocol in data
Collected data are sent to virtual emulation number by the module for increasing itself and the communication of virtual emulation digital model in collecting system
Change model；
Step 5: according to the mode of data collection system and the mapping of virtual emulation digital model data, Visual is called
The Python API that Components software provides develops communication module, is acquired the reception of data；
Step 6: adding PythonScript behavior in virtual emulation digital model component, fixed in PythonScript
Adopted virtual emulation digital model component handles logic accordingly after receiving the data；
Step 7: operation data acquisition system carries out the data acquisition in physical equipment, in digital factory simulation software
Data acquisition software is connected in the simulated environment of Visual Components, runs simulated environment, data collection system is in real time
The data of acquisition are sent to digital factory simulation software Visual Components, digital factory simulation software
The data that real-time reception acquires in Visual Components, and according to the mapping relations established in step 5, by what is received
Collected data are mapped as the data in mathematical model, then using fixed in the PythonScript behavior established in step 6
Justice handles logic to handle digital model accordingly accordingly after receiving the data, realizes field device monitoring.
2. the method according to claim 1, wherein the step 1 further comprises:
The virtual emulation software used is Visual Components software, specific number modeling process are as follows: if empty
Quasi- simulation software Visual Components from tape pool containing the model of actual physical device, detect each size, behavior whether
It matches with actual physical device, is modified accordingly if mismatching, if virtual emulation software Visual Components is included
Without the model of actual physical device in library, the threedimensional model of equipment is first established in 3 d modeling software, is then introduced into virtual imitative
In true software Visual Components, corresponding node, attribute, behavior are defined.
3. the method according to claim 1, wherein data collection system described in step 2 is opened in VS2015
It in hair ring border, is developed under Winform frame using C# language, this system not only has the function of data acquisition, also has
The function of standby control field device.
4. the method according to claim 1, wherein the collected data are that site physical equipment has been installed
The data that can be collected of sensor, include displacement, speed.
5. the method according to claim 1, wherein digital model adds in the step 3 attribute and row
To specifically include: shape data attribute, real-coded GA attribute, Boolean type data attribute, character type data attribute,
Controller behavior, Container behavior, Signal behavior, PythonScript behavior etc..
6. the method according to claim 1, wherein in the step 6, the processing of the simulation model component
Logic includes the corresponding state for changing simulation model when collected information changes, the movement letter including each model
Breath, status information realize the mapping one by one of acquisition data and digital model data.
7. the method according to claim 1, wherein the data collection system and the virtual emulation software it
Between pass through wirelessly or non-wirelessly communication connection.
8. the method according to claim 1, wherein in the step 7, what data collection system was acquired
When data are sent to virtual emulation software, data collection system carries out data acquisition to physical equipment every fixed time period, and
The collected data of current slot are compared with the collected data of previous time period, judge that comparison result is inconsistent
Acquisition data, then only send the inconsistent data of comparison result to the digital model in virtual emulation software.
9. the method according to claim 1, wherein in the step 7, what data collection system was acquired
When data are sent to virtual emulation software, timestamp and package identification are added in the data of transmission, wherein at the beginning of package identification
It is 0 when the beginning, all adds one when sending every time automatically；When virtual emulation software receives acquisition data, more currently received data
Difference between packet mark and the previous package identification received, if currently received package identification and previous received
Difference between package identification is 1, then identifies current data packet and carry out data mapping and execute to handle logic；If currently connect
Difference between the package identification of receipts and the previous package identification received is negative, then abandons the data being currently received.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110320873A (en) * | 2019-07-05 | 2019-10-11 | 武汉魅客科技有限公司 | A kind of real-time three-dimensional presentation system based on distributed sensor |
| CN110598280A (en) * | 2019-08-28 | 2019-12-20 | 杭州友电科技有限公司 | Equipment simulation system and method and computer readable storage medium |
| CN110658795A (en) * | 2019-10-10 | 2020-01-07 | 北京航空航天大学 | Accurate fusion method and system for digital twin data |
| CN111062150A (en) * | 2019-12-25 | 2020-04-24 | 北京达美盛软件股份有限公司 | Three-dimensional visual factory management system |
| CN111308975A (en) * | 2020-02-28 | 2020-06-19 | 南京航空航天大学 | Twin agent construction system and method of intelligent manufacturing system based on digital twin technology |
| CN111324045A (en) * | 2019-10-31 | 2020-06-23 | 武汉数字化设计与制造创新中心有限公司 | Simulation and object combined production line simulation system and method |
| CN111368443A (en) * | 2020-03-06 | 2020-07-03 | 北京旷视机器人技术有限公司 | Equipment simulation method and device and electronic equipment |
| CN111638689A (en) * | 2020-05-15 | 2020-09-08 | 连云港杰瑞自动化有限公司 | Production line data centralized acquisition and control system and method based on automatic master control system |
| CN111857063A (en) * | 2019-04-29 | 2020-10-30 | 西门子股份公司 | Method, device and system for acquiring digital data of factory |
| CN112114529A (en) * | 2020-07-30 | 2020-12-22 | 浙江工业大学 | Simulation debugging system for hardware industry |
| CN112418455A (en) * | 2020-11-28 | 2021-02-26 | 北京三维天地科技股份有限公司 | Equipment failure prediction and health management system |
| CN112632778A (en) * | 2020-12-22 | 2021-04-09 | 达闼机器人有限公司 | Operation method and device of digital twin model and electronic equipment |
| CN113009885A (en) * | 2019-12-20 | 2021-06-22 | 中国科学院沈阳计算技术研究所有限公司 | Digital mapping system and method for safety state of numerical control system |
| CN113661455A (en) * | 2019-03-29 | 2021-11-16 | 西门子股份公司 | Method for engineering planning and simulating an automation system using digital twins |
| CN115756472A (en) * | 2023-01-06 | 2023-03-07 | 江苏中车数字科技有限公司 | Cloud edge cooperative industrial equipment digital twin operation monitoring method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130107874A (en) * | 2012-03-23 | 2013-10-02 | 주식회사 포스코 | Virtual facility system for manufacturing steel and operating method thereof |
| CN107870600A (en) * | 2017-10-17 | 2018-04-03 | 广东工业大学 | A kind of transparent monitoring method in intelligent workshop and system |
| CN108121216A (en) * | 2017-12-26 | 2018-06-05 | 哈工大机器人（合肥）国际创新研究院 | A kind of automated workshop Virtual Debugging method based on digital factory |
-
2018
- 2018-11-28 CN CN201811434771.6A patent/CN109326003B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130107874A (en) * | 2012-03-23 | 2013-10-02 | 주식회사 포스코 | Virtual facility system for manufacturing steel and operating method thereof |
| CN107870600A (en) * | 2017-10-17 | 2018-04-03 | 广东工业大学 | A kind of transparent monitoring method in intelligent workshop and system |
| CN108121216A (en) * | 2017-12-26 | 2018-06-05 | 哈工大机器人（合肥）国际创新研究院 | A kind of automated workshop Virtual Debugging method based on digital factory |
Non-Patent Citations (2)
| Title |
|---|
| 王猛等: "VSFMA模型在自动化车间虚拟仿真中的应用", 《计算机技术与发展》 * |
| 田永利等: "多领域系统可视化建模仿真平台集成开发", 《计算机辅助设计与图形学学报》 * |
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| CN111308975A (en) * | 2020-02-28 | 2020-06-19 | 南京航空航天大学 | Twin agent construction system and method of intelligent manufacturing system based on digital twin technology |
| CN111368443A (en) * | 2020-03-06 | 2020-07-03 | 北京旷视机器人技术有限公司 | Equipment simulation method and device and electronic equipment |
| CN111638689A (en) * | 2020-05-15 | 2020-09-08 | 连云港杰瑞自动化有限公司 | Production line data centralized acquisition and control system and method based on automatic master control system |
| CN111638689B (en) * | 2020-05-15 | 2022-03-22 | 连云港杰瑞自动化有限公司 | Production line data centralized acquisition and control system and method based on automatic master control system |
| CN112114529A (en) * | 2020-07-30 | 2020-12-22 | 浙江工业大学 | Simulation debugging system for hardware industry |
| CN112418455A (en) * | 2020-11-28 | 2021-02-26 | 北京三维天地科技股份有限公司 | Equipment failure prediction and health management system |
| CN112632778A (en) * | 2020-12-22 | 2021-04-09 | 达闼机器人有限公司 | Operation method and device of digital twin model and electronic equipment |
| CN115756472A (en) * | 2023-01-06 | 2023-03-07 | 江苏中车数字科技有限公司 | Cloud edge cooperative industrial equipment digital twin operation monitoring method and system |
| CN115756472B (en) * | 2023-01-06 | 2023-05-09 | 江苏中车数字科技有限公司 | Cloud-edge cooperative industrial equipment digital twin operation monitoring method and system |
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