CN114298671A - Project management method and system based on digital twinning, electronic equipment and storage medium - Google Patents

Project management method and system based on digital twinning, electronic equipment and storage medium Download PDF

Info

Publication number
CN114298671A
CN114298671A CN202111607814.8A CN202111607814A CN114298671A CN 114298671 A CN114298671 A CN 114298671A CN 202111607814 A CN202111607814 A CN 202111607814A CN 114298671 A CN114298671 A CN 114298671A
Authority
CN
China
Prior art keywords
processing
engineering
video
module
software
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202111607814.8A
Other languages
Chinese (zh)
Inventor
朱文娟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Guangxia Construction Vocational and Technical University
Original Assignee
Zhejiang Guangxia Construction Vocational and Technical University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Guangxia Construction Vocational and Technical University filed Critical Zhejiang Guangxia Construction Vocational and Technical University
Priority to CN202111607814.8A priority Critical patent/CN114298671A/en
Publication of CN114298671A publication Critical patent/CN114298671A/en
Withdrawn legal-status Critical Current

Links

Images

Landscapes

  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention discloses a project management method, a project management system, electronic equipment and a storage medium based on digital twins, wherein the method comprises the following steps: acquiring engineering management data, wherein the engineering management data comprises an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal; processing the engineering management data by adopting software to obtain a processing result; acquiring an output result of the hardware module for processing the engineering management data; displaying the processing result and the output result; and if the software is updated, generating a corresponding configuration file to configure the hardware module. The invention can realize the processing on software by remotely acquiring the engineering management data, and realize the processing of the engineering management data by arranging the hardware module on the site, thereby realizing the functions of evaluating and adjusting remotely and locally synchronously.

Description

Project management method and system based on digital twinning, electronic equipment and storage medium
Technical Field
The invention relates to the field of engineering management, in particular to an engineering management method, an engineering management system, electronic equipment and a storage medium based on digital twins.
Background
Modern engineering management is developed towards intellectualization and systematization all the time, when the construction intelligent system engineering project management is carried out, strict supervision and examination are not carried out on the quality, no matter on the product quality and performance, or in the process of inspection, installation and acceptance, effective control cannot be carried out, and the key task of construction interface management is to implement interface division for construction contents such as construction of intelligent construction projects, equipment installation project construction and decoration project construction. However, the interface interfaces of the system such as the high-voltage distribution cabinet, the air conditioning equipment, the sewage treatment system, the elevator operation monitoring system and the like are relatively more, weak links in construction need to be reasonably adjusted, and management can be carried out on the weak links through project scheduling. Therefore, it is important to implement automation and intellectualization of the management of the construction interface.
However, the automation and intellectualization of the existing remote interface management are only simply performed according to preset procedures, after videos of projects such as construction and equipment installation are obtained, the construction or installation procedures are identified by combining signals such as electromechanics, and the like, and whether the construction or installation procedures meet the specifications is judged, the intelligent remote engineering project management system cannot synchronously perform evaluation and adjustment in remote and local places, and similar systems can only realize partial functions and cannot adjust the existing functions according to actual conditions.
Disclosure of Invention
The invention provides a project management method, a project management system, electronic equipment and a storage medium based on digital twins, which can solve the problems that a remote project management system in the prior art cannot synchronously make evaluation and adjustment in remote and local, and similar systems can only realize partial functions and cannot adjust the existing functions according to actual conditions. The invention provides the following technical scheme to solve the technical problems:
a digital twin-based engineering management method, the method comprising the steps of:
acquiring engineering management data, wherein the engineering management data comprises an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal;
processing the engineering management data by adopting software to obtain a processing result;
acquiring an output result of the hardware module for processing the engineering management data;
displaying the processing result and the output result;
and if the software is updated, generating a corresponding configuration file to configure the hardware module.
Preferably, the specific step of processing the engineering management data by software to obtain the processing result includes:
and taking the engineering site monitoring video and the electromechanical signals as input, identifying the construction type and the working procedure of the engineering site and judging whether the abnormality exists or not by adopting video identification software, and taking the electromechanical signals as a reference for verifying an identification result.
Preferably, before the video recognition software is used for recognizing the construction type and the working procedure of the engineering site and whether the abnormality exists, the method further comprises the following steps:
extracting a plurality of frame images from a video with a preset time length;
inputting the plurality of frames of images into the modified pre-training model for network training;
and testing the pre-training model after the network training.
Preferably, the step of inputting the plurality of frames of images into the modified pre-training model for network training further includes the following steps:
loading a pre-training model;
adaptively modifying the pre-training model;
category information, a training label data set and a testing label data set are obtained.
Preferably, the hardware module adopts the same video identification algorithm as the video identification software to identify the construction type and the working procedure of the engineering site and whether the abnormality exists, and the electromechanical signal is used as the input of the hardware module to verify the identification result.
Preferably, after the step of displaying the processing result and the output result, the method further comprises the following steps:
and if the algorithm of the video recognition software for processing the video is updated, generating a configuration file for configuring the hardware module according to the updated algorithm so as to reconfigure the hardware module.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and is characterized in that the processor implements the above engineering management method based on digital twin when executing the computer program.
The present invention also provides a computer readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the above-described digital twin-based engineering management method.
The invention also provides a digital twin-based engineering management system, which comprises:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring engineering management data, the engineering management data comprise an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal;
the digital twin module is used for processing the engineering management data by adopting software to obtain a processing result;
the hardware module is used for processing the engineering management data to obtain an output result;
and the display module is used for displaying the processing result and the output result.
And the configuration updating module is used for generating a configuration file for configuring the hardware module according to the updated algorithm to reconfigure the hardware module if the algorithm for processing the video by the video identification software is updated.
Preferably, the digital twinning module is further configured to: and taking the engineering site monitoring video and the electromechanical signals as input, and identifying the type and the working procedure of the engineering site construction and whether the abnormality exists by adopting video identification software.
The invention realizes the processing of the engineering management data on the software by remotely acquiring the engineering management data, and realizes the processing of the engineering management data by arranging the hardware module on the site, the digital twin realized by adopting the mode can simultaneously process the engineering management data and simultaneously display the processing result, and under the condition that the algorithm or the model of the software processing data is changed, the corresponding configuration file can be generated to configure the hardware module, thereby realizing the function of synchronously evaluating and adjusting in the remote and local areas.
Drawings
FIG. 1 is a flowchart of a digital twin-based project management method in example 1;
FIG. 2 is a construction site diagram in example 1;
FIG. 3 is a flow chart of training of a pre-training model in example 1;
FIG. 4 is a flow chart of the pre-training model test preparation in example 1;
fig. 5 is a hardware block diagram of the digital twin-based engineering management system in embodiment 4.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment provides an engineering management method based on digital twins, as shown in fig. 1, the method includes the following steps:
s100, acquiring engineering management data, wherein the engineering management data comprise an engineering field monitoring video and electromechanical signals, and the electromechanical signals are electromechanical equipment working state signals;
in this embodiment, the engineering site surveillance video is obtained by shooting by the camera monitoring module located on the site, and the shot object is an operation site in the engineering site, and the camera monitoring module can be a plurality of or movable shooting devices and can shoot a plurality of scenes, the camera monitoring module is connected to the computer in a wired or wireless manner, and similarly, the electromechanical device can transmit the working state of the electromechanical device or the working state sensed by the sensor to the data acquisition module, and the data acquisition module transmits the sensed working state signal to the computer.
S200, processing the engineering management data by adopting software to obtain a processing result; in this embodiment, the software refers to software capable of processing video image data and a working state signal, for example, a matchvnet toolbox in MATLAB is called, the matchvnet toolbox can process the video image data, the depth of an algorithm structure is increased by constructing a multi-level interlayer, and the input video image data is processed, so that approximation of a complex function is realized, and further, essential features of the video image data are described, and the purpose of accurately identifying a scene is achieved. The matchvnet tool box is finally used for identifying the construction type and the working procedure of an engineering field and whether the abnormality exists, and when the abnormality is identified, the electromechanical signals are used as the working state signals of the electromechanical equipment to verify whether the identification result is accurate, so that the purpose of verifying the result is achieved. The construction type of the engineering site refers to what type of construction, such as building construction, machining type, power station construction, oil tank plant construction and the like, the working procedures are related to the construction type, for example, the working procedures of the building construction comprise various working procedures of pile foundation construction, backfilling, reinforcement binding, woodworking construction, concrete construction and the like, and whether the construction type and the working procedures are abnormal or not, and whether necessary facilities or personnel are absent in a scene or not are determined according to the construction type and the working procedures. As shown in fig. 2, the construction site image to be identified is displayed, the matchvnet toolbox performs deep learning according to various previously input construction scenes, the construction type which can be identified through the image is a filling station oil tank construction scene, the procedure is oil tank foundation construction, and the existing abnormity can be prompted as disordered construction site wiring and missing construction safety guardians.
S300, acquiring an output result of the hardware module for processing the engineering management data; the hardware module directly acquires the engineering management data, namely the engineering field monitoring video and the electromechanical signals. In order to make the output results of the engineering management data processed by the hardware module and the software consistent, the hardware module and the software need to be synchronously processed, namely, a time tag in the engineering management data is used, and the time tag is kept in the data when the output results or the processing results are output.
S400, displaying the processing result and the output result; according to the time stamp in step S3, the processing result for display and the output result obtained by processing the same data are realized, so that the twin of video data processing can be realized with reference to the comparison.
As a preferred embodiment, the step S2 further includes: the software is also used for simulating the working state of the electromechanical equipment to realize digital twinning of the electromechanical equipment, such as power supply operation of a power distribution cabinet, and the digital twinning of the power distribution cabinet can be realized by reading input current and each path of output current in the power distribution cabinet and transmitting the input current and each path of output current to a computer.
In a preferred embodiment, in S4, a model of the electromechanical device is also displayed in the computer and a synchronous operation state of the model and the electromechanical device is displayed.
And S500, if the software is updated, generating a corresponding configuration file to configure the hardware module. In this embodiment, when software is updated, if the software is used to process the image or configure the electromechanical device to generate a configuration file, respectively, and if a hardware module to be configured is an FPGA, a digital description file may be generated according to an implemented image processing algorithm in MATLAB software, which is specifically implemented as follows: inputting a command 'editfxpoppdem _ neural _ networks _ script' into the MATLAB, and obtaining a hardware description language through the following steps: floating point model auto generation-fix improvement based on floating point model-fix tool use-generate HDL code. Generally, the generated HDL code cannot be directly used to generate a bitstream for configuring an FPGA, the HDL code needs to be debugged, for example, modelsim simulation is used, when an output result has no problem, the bitstream capable of configuring the FPGA is generated and sent to a remote control device to implement remote configuration of the FPGA, the FPGA needs to be set in a PS mode for remote configuration of the FPGA, the control device is used to receive the bitstream and store the bitstream in a near SRAM, so as to complete control of configuration of the FPGA, and the control device may be a computer or an embedded controller such as a stm32 series processor.
In this embodiment, before the video recognition software is used to recognize the type and the process of the construction on the engineering site and determine whether there is an abnormality, as shown in fig. 3, the method further includes the following steps:
s110, extracting a plurality of frame images from a video with preset time length; and directly extracting images from the video with the preset time length according to the specific frequency or the scenes with the abnormal recognition in the video to realize the extraction of a plurality of frames of images.
S120, inputting the plurality of frames of images into the modified pre-training model for network training; the pre-training model can download the classic pre-training network model vgg from the matchnvnet official network to obtain the imagenet-vgg-f.
And S130, testing the pre-training model after the network training. And loading the pre-training model in the MATLAB, and observing and modifying the pre-training model to match a real scene according to the requirement.
In this embodiment, before the step of inputting the plurality of frames of images into the modified pre-training model for network training, as shown in fig. 4, the method further includes the following steps:
s111, loading a pre-training model; loading the pre-trained model in MATLAB: load ('models/imagenet-vgg-f.mat') commands are input to load the model, view the loaded objects, and view the network model through celldisp (layers).
S112, adaptively modifying the pre-training model; after loading the pre-trained model, corresponding modification is performed according to the classification of the actual settings or the settings of the network for training, for example, if the weights of fc8 in the pre-trained model are 1000 × 1, and the actual requirements are 10 × 1, the setting classes of fc8 need to be replaced by 10 classes.
And S113, acquiring category information, a training label data set and a testing label data set. And reading class information, reading train _ label.txt to obtain a training label data set, and reading test _ label.txt to obtain a testing label data set.
In this embodiment, the hardware module identifies the type and process of construction on the engineering site and whether there is an abnormality by using a video identification algorithm similar to the video identification software, and the electromechanical signal is used as an input of the hardware module to verify the identification result.
Example 2
The present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the digital twin-based engineering management method in embodiment 1 is implemented.
In this embodiment, the electronic device may be represented in the form of a general-purpose computing device, for example, it may be a server device. Components of the electronic device may include, but are not limited to: at least one processor, at least one memory, and a bus connecting different system components (including the memory and the processor).
The electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface. Also, the electronic device may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via a network adapter. The network adapter communicates with other modules of the electronic device over the bus. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 3
The present invention also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the steps of the digital twin-based engineering management method in embodiment 1 described above.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps of implementing the digital twin based engineering management method of embodiment 1, when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
Example 4
The present embodiment further provides a digital twin-based engineering management system 100, as shown in fig. 5, including:
the system comprises a data acquisition module 1, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring engineering management data, the engineering management data comprises an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal;
the digital twin module 2 is used for processing the engineering management data by adopting software to obtain a processing result;
the hardware module 3 is used for processing the engineering management data to obtain an output result;
and the display module 4 is used for displaying the processing result and the output result.
And the configuration updating module 5 is used for generating a configuration file for configuring the hardware module 3 according to the updated algorithm to reconfigure the hardware module 3 if the algorithm for processing the video by the video identification software is updated.
In this embodiment, the digital twin module 2 is further configured to implement: the engineering site monitoring video and the electromechanical signals are used as input, and video identification software is adopted to identify the type and the working procedure of the engineering site construction and whether the abnormality exists; and if the algorithm of the video recognition software for processing the video is updated, generating a configuration file for configuring the hardware module 3 according to the updated algorithm so as to reconfigure the hardware module 3.
In this embodiment, the engineering site surveillance video is obtained by shooting by the camera monitoring module located on the site, and the shot object is an operation site in the engineering site, and the camera monitoring module can be a plurality of or movable shooting devices and can shoot a plurality of scenes, the camera monitoring module is connected to the computer in a wired or wireless manner, and similarly, the electromechanical device can transmit the working state of the electromechanical device or the working state sensed by the sensor to the data acquisition module, and the data acquisition module transmits the sensed working state signal to the computer.
In this embodiment, the digital twin module 2 is a module capable of processing video image data and a working state signal, and is capable of calling a matchvnet toolbox in MATLAB, where the matchvnet toolbox is capable of processing the video image data, increasing the depth of an algorithm structure by constructing a multi-level interlayer, and processing input video image data, so as to implement approximation of a complex function, further describe essential features of the video image data, and achieve the purpose of accurately identifying a scene. The matchvnet tool box is finally used for identifying the construction type and the working procedure of an engineering field and whether the abnormality exists, and when the abnormality is identified, the electromechanical signals are used as the working state signals of the electromechanical equipment to verify whether the identification result is accurate, so that the purpose of verifying the result is achieved. The construction type of the engineering site refers to what type of construction, such as building construction, machining type, power station construction, oil tank plant construction and the like, the working procedures are related to the construction type, for example, the working procedures of the building construction comprise various working procedures of pile foundation construction, backfilling, reinforcement binding, woodworking construction, concrete construction and the like, and whether the construction type and the working procedures are abnormal or not, and whether necessary facilities or personnel are absent in a scene or not are determined according to the construction type and the working procedures.
In this embodiment, in order to enable both the hardware module 3 and the remote computer to obtain the engineering site monitoring video, the camera monitoring module needs to be connected to a video distributor, the video distributor distributes the video data to the computer and the hardware module 3, and the hardware module 3 processes the data by using the same algorithm, and can also identify the type and the process of the engineering site construction and determine whether there is an abnormality. The hardware module 3 comprises a configurable hardware module, the configurable hardware module 3 can be a programmable logic unit, the hardware module 3 comprises a video distributor, an electromechanical signal acquisition module, an FPGA module, a controller, a communication module and a remote computer module, the video distributor divides video information acquired by the video monitoring module into two parts which are respectively transmitted to the FPGA module and the remote computer module for processing, and the electromechanical signal acquisition module directly transmits electromechanical state signals to the FPGA module and the remote computer module for processing. The FPGA module is connected with the controller and the flash, the controller receives the bitstream sent by the remote computer module through the communication module and stores the bitstream in the flash, the FPGA download mode is configured to be a Passive configuration mode (PS), and the controller configures the FPGA. When the software is updated, if the software is used for processing the image or configuring the electromechanical device to generate the configuration file respectively, and the hardware module 3 to be configured is the FPGA, a digital description file can be generated according to an implemented image processing algorithm in MATLAB software, and the specific implementation manner is as follows: inputting a command 'exit fxpoptdemo _ neural _ networks _ script' into the MATLAB, and obtaining a hardware description language through the following steps: floating point model auto generation-fix improvement based on floating point model-fix tool use-generate HDL code. In general, the generated HDL code cannot be directly used to generate a bitstream for configuring an FPGA, and the HDL code needs to be debugged, for example, by using modelsim simulation, and when there is no problem in an output result, the generated bitstream is regenerated to be able to configure the FPGA.
In the embodiment, the engineering management data is remotely acquired and processed on software, and the hardware module 3 is arranged on the site to simultaneously process the engineering management data, so that the digital twin realized in the manner can simultaneously process the engineering management data and simultaneously display the processing result, and under the condition that the algorithm or the model of the software processing data is changed, the corresponding configuration file can be generated to configure the hardware module 3, so that the functions of evaluating and adjusting the remote and local synchronization are realized.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A project management method based on digital twinning is characterized by comprising the following steps:
acquiring engineering management data, wherein the engineering management data comprises an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal;
processing the engineering management data by adopting software to obtain a processing result;
acquiring an output result of the hardware module for processing the engineering management data;
displaying the processing result and the output result;
and if the software is updated, generating a corresponding configuration file to configure the hardware module.
2. The project management method based on digital twin as set forth in claim 1, wherein the specific step of processing the project management data by software to obtain the processing result comprises:
and taking the engineering site monitoring video and the electromechanical signals as input, identifying the construction type and the working procedure of the engineering site and judging whether the abnormality exists or not by adopting video identification software, and taking the electromechanical signals as a reference for verifying an identification result.
3. The digital twin-based project management method according to claim 2, further comprising the steps of, before identifying the project site construction type, the process and whether there is an abnormality by using the video recognition software:
extracting a plurality of frame images from a video with a preset time length;
inputting the plurality of frames of images into the modified pre-training model for network training;
and testing the pre-training model after the network training.
4. The digital twin-based engineering management method according to claim 3, wherein the step of inputting the plurality of frames of images into the modified pre-training model for network training further comprises the following steps:
loading a pre-training model;
adaptively modifying the pre-training model;
category information, a training label data set and a testing label data set are obtained.
5. The digital twin-based project management method according to claim 2, wherein the hardware module recognizes the project site construction type, process and the presence of abnormality using the same video recognition algorithm as the video recognition software, and the electromechanical signal is used as an input of the hardware module to verify the recognition result.
6. The digital twin-based project management method according to claim 5, further comprising, after the steps of displaying the processing result and outputting the result, the steps of:
and if the algorithm of the video recognition software for processing the video is updated, generating a configuration file for configuring the hardware module according to the updated algorithm so as to reconfigure the hardware module.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the digital twin based engineering management method of any of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the digital twin based engineering management method according to any one of claims 1 to 6.
9. A digital twin-based project management system, comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring engineering management data, the engineering management data comprise an engineering field monitoring video and an electromechanical signal, and the electromechanical signal is an electromechanical equipment working state signal;
the digital twin module is used for processing the engineering management data by adopting software to obtain a processing result;
the hardware module is used for processing the engineering management data to obtain an output result;
the display module is used for displaying the processing result and the output result;
and the configuration updating module is used for generating a configuration file for configuring the hardware module according to the updated algorithm to reconfigure the hardware module if the algorithm for processing the video by the video identification software is updated.
10. The digital twin based engineering management system of claim 9, wherein the digital twin module is further configured to implement: and taking the engineering site monitoring video and the electromechanical signals as input, and identifying the type and the working procedure of the engineering site construction and whether the abnormality exists by adopting video identification software.
CN202111607814.8A 2021-12-21 2021-12-21 Project management method and system based on digital twinning, electronic equipment and storage medium Withdrawn CN114298671A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111607814.8A CN114298671A (en) 2021-12-21 2021-12-21 Project management method and system based on digital twinning, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111607814.8A CN114298671A (en) 2021-12-21 2021-12-21 Project management method and system based on digital twinning, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114298671A true CN114298671A (en) 2022-04-08

Family

ID=80969105

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111607814.8A Withdrawn CN114298671A (en) 2021-12-21 2021-12-21 Project management method and system based on digital twinning, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114298671A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117114922A (en) * 2023-10-24 2023-11-24 天津广正建设项目咨询股份有限公司 Consultation service and evaluation method and system based on whole process engineering consultation

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117114922A (en) * 2023-10-24 2023-11-24 天津广正建设项目咨询股份有限公司 Consultation service and evaluation method and system based on whole process engineering consultation
CN117114922B (en) * 2023-10-24 2024-01-26 天津广正建设项目咨询股份有限公司 Consultation service and evaluation method and system based on whole process engineering consultation

Similar Documents

Publication Publication Date Title
US20240087104A1 (en) Method for monitoring manufacture of assembly units
US20190057548A1 (en) Self-learning augmented reality for industrial operations
KR20210041724A (en) Apparatus and method for predicting failure of electric car charger
CN113228100A (en) Imaging modality intelligent discovery and maintenance system and method
US11774934B2 (en) Facility diagnosis method using facility diagnosis system
CN109791516A (en) For unit to be monitored and controlled used in autonomous system from X characteristic having
CN113472079B (en) Power distribution station operation and maintenance monitoring cloud robot system, background processing and operation task method
CN115527203A (en) Grain drying remote control method and system based on Internet of things
US20220366244A1 (en) Modeling Human Behavior in Work Environment Using Neural Networks
CN113196315A (en) Imaging modality service kit system and method
CN113282000A (en) Fault diagnosis method and device of data center and dynamic loop monitoring system
US20200151967A1 (en) Maintenance of an aircraft
CN114298671A (en) Project management method and system based on digital twinning, electronic equipment and storage medium
CN110826201B (en) Three-dimensional visualization platform for operation and maintenance management system of data center
CN117078163A (en) Logistics storage management and control system and method based on digital twinning
KR20200001910A (en) Learning data generating apparatus and method for learning model of fault forecast and diagnostic system of power plant
CN116227248B (en) Digital twin body construction method and device of gravity energy storage system and electronic equipment
CN117454231A (en) Subway direct current protection test system applying intelligent simulation technology
AU2020202134A1 (en) Data driven machine learning for modeling aircraft sensors
CN116400670A (en) Simulation test method and system for coal mining machine control system
US20200073973A1 (en) Digitalizing system and method
CA2963112C (en) Method and system for diagnosis of a simulator
US20220200213A1 (en) Systems, apparatuses, and methods for predicting a state of a card connector
US10908983B2 (en) Method and system for preventing an anomaly in a simulator
US10908981B2 (en) Method and system for diagnosis of a simulator

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20220408