CN114140099A - Project management method based on AIOTDAaS digital twin cloud platform - Google Patents
Project management method based on AIOTDAaS digital twin cloud platform Download PDFInfo
- Publication number
- CN114140099A CN114140099A CN202210113595.6A CN202210113595A CN114140099A CN 114140099 A CN114140099 A CN 114140099A CN 202210113595 A CN202210113595 A CN 202210113595A CN 114140099 A CN114140099 A CN 114140099A
- Authority
- CN
- China
- Prior art keywords
- project
- cloud platform
- digital
- data
- digital twin
- 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.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 114
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 37
- 238000005457 optimization Methods 0.000 claims description 28
- 238000003860 storage Methods 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a project management method based on an AIOT DaaS digital twin cloud platform, which comprises the following steps: when a project access instruction is received, acquiring project information of a project corresponding to the project access instruction, and performing digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model; acquiring the operation data of the project, and managing the project according to the operation data and the project digital model; according to the invention, the digital modeling is carried out according to the project information to obtain the project digital model, the project operation data is obtained, and the global digital management of the projects including multiple devices and multiple clients is realized according to the project operation data and the project digital model, so that the intelligence and the visibility of the project management are improved, and the enterprise and project management efficiency and the accuracy of data analysis are improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a project management method based on an AIOT DaaS digital twin cloud platform.
Background
Various projects exist in various industries at present, the projects are formed by various hardware products and/or terminal devices, various data generated by the various hardware products and/or the terminal devices during working need to be manually collected and analyzed, and then the projects are managed.
Disclosure of Invention
The invention mainly aims to provide a project management method based on an AIOT DaaS digital twin cloud platform, and aims to solve the problem of how to improve the intelligence of project management.
In order to achieve the above object, the present invention provides a project management method based on an AIOT DaaS digital twin cloud platform, which includes the following steps:
when a project access instruction is received, acquiring project information of a project corresponding to the project access instruction, and performing digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model;
and acquiring the operation data of the project, and managing the project according to the operation data and the project digital model.
Preferably, the step of obtaining the project digital model by performing digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information comprises:
according to the project information, determining terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in the project, and according to the terminal type information, carrying out digital modeling on the terminal equipment set through an artificial intelligent digital twin cloud platform to obtain a terminal equipment digital model set;
and connecting each terminal equipment digital model in the terminal equipment digital model set through the digital main line according to the terminal connection relation information to obtain the project digital model.
Preferably, the step of obtaining the operation data of the project and managing the project according to the operation data and the project digital model comprises:
according to a first preset period, obtaining current data of each terminal device contained in the project through the artificial intelligence digital twin cloud platform, and determining operation data of the project according to the current data;
and responding to a query instruction of a user, and showing the operation data of the project and/or the current data of each terminal device to the user by combining the project digital model through a virtual reality device.
Preferably, after the step of obtaining, by the artificial intelligence digital twin cloud platform, current data of each terminal device included in the project according to a first preset period and determining operation data of the project according to the current data, the project management method based on the AIOT DaaS digital twin cloud platform further includes:
acquiring current time according to the first preset period, and marking the current data of each terminal device and the operation data of the project according to the current time;
and storing the marked current data and the marked running data to obtain a historical data set.
Preferably, after the step of storing the marked current data and the marked operating data to obtain a historical data set, the item management method based on the AIOT DaaS digital twin cloud platform includes:
acquiring the historical data set according to a second preset period or the optimization instruction of the user, and generating a project optimization scheme according to the historical data set;
and displaying the project optimization scheme to the user through the virtual reality equipment.
Preferably, the step of acquiring the operation data of the project and managing the project according to the operation data and the project digital model by the artificial intelligence digital twin cloud platform further includes:
acquiring a historical data set corresponding to the project, and obtaining prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform;
and acquiring the operation data of the project, comparing the operation data with the prediction data, and determining whether to alarm or not according to the comparison result.
Preferably, the step of determining whether to alarm according to the comparison result comprises:
if the comparison result is that the difference value of the operation data and the prediction data is larger than a preset threshold value, acquiring contact person information corresponding to the project, and giving an alarm according to the contact person information;
if the comparison result is that the difference value between the operation data and the prediction data is not larger than a preset threshold value, returning to the execution step: and acquiring a historical data set corresponding to the project, and acquiring prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform.
In addition, to achieve the above object, the present invention provides an item management apparatus based on an AIOT DaaS digital twin cloud platform, including:
the system comprises a receiving module, a digital model generating module and a data processing module, wherein the receiving module is used for acquiring project information of a project corresponding to a project access instruction when the project access instruction is received, and carrying out digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model;
and the acquisition module is used for acquiring the operation data of the project and managing the project according to the operation data and the project digital model.
Further, the receiving module is further configured to:
according to the project information, determining terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in the project, and according to the terminal type information, carrying out digital modeling on the terminal equipment set through an artificial intelligent digital twin cloud platform to obtain a terminal equipment digital model set;
and connecting each terminal equipment digital model in the terminal equipment digital model set through the digital main line according to the terminal connection relation information to obtain the project digital model.
Further, the obtaining module is further configured to:
according to a first preset period, obtaining current data of each terminal device contained in the project through the artificial intelligence digital twin cloud platform, and determining operation data of the project according to the current data;
and responding to a query instruction of a user, and showing the operation data of the project and/or the current data of each terminal device to the user by combining the project digital model through a virtual reality device.
Further, the obtaining module further includes a storage module, and the storage module is configured to:
acquiring current time according to the first preset period, and marking the current data of each terminal device and the operation data of the project according to the current time;
and storing the marked current data and the marked running data to obtain a historical data set.
Further, the obtaining module is further configured to:
acquiring the historical data set according to a second preset period or the optimization instruction of the user, and generating a project optimization scheme according to the historical data set through an artificial intelligent digital twin cloud platform;
and displaying the project optimization scheme to the user through the virtual reality equipment.
Further, the obtaining module is further configured to:
acquiring a historical data set corresponding to the project, and obtaining prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform;
and acquiring the operation data of the project, comparing the operation data with the prediction data, and determining whether to alarm or not according to the comparison result.
Further, the obtaining module further comprises a comparing module, and the comparing module is configured to:
if the comparison result is that the difference value of the operation data and the prediction data is larger than a preset threshold value, acquiring contact person information corresponding to the project, and giving an alarm according to the contact person information;
if the comparison result is that the difference value between the operation data and the prediction data is not larger than a preset threshold value, returning to the execution step: and acquiring a historical data set corresponding to the project, and acquiring prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform.
In addition, to achieve the above object, the present invention further provides an item management system based on an AIOT DaaS digital twin cloud platform, including: a memory, a processor and a project management program stored on the memory and executable on the processor, the project management program when executed by the processor implementing the steps of the AIOT DaaS digital twin cloud platform based project management method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, which is a computer readable storage medium, wherein the readable storage medium stores a project management program, and the project management program, when executed by a processor, implements the steps of the project management method based on the AIOT DaaS digital twin cloud platform as described above.
The project management method based on the AIOT DaaS digital twin cloud platform, provided by the invention, comprises the steps of obtaining project information of a project corresponding to a project access instruction when the project access instruction is received, and carrying out digital modeling according to the project information to obtain a project digital model; acquiring the operation data of the project, and managing the project according to the operation data and the project digital model; the invention carries out digital modeling according to the project information to obtain the project digital model, acquires the operation data of the project, and manages the project according to the operation data and the project digital model, thereby improving the intelligence of project management and further improving the efficiency of project management and the accuracy of data analysis.
Drawings
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a first embodiment of the project management method based on the AIOT DaaS digital twin cloud platform according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The device of the embodiment of the invention can be a PC or a server device.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include an operating system, a network communication module, a user interface module, and a project management program therein.
The operating system is a program for managing and controlling the portable storage device and software resources, and supports the operation of a network communication module, a user interface module, a project management program and other programs or software; the network communication module is used for managing and controlling the network interface 1002; the user interface module is used to manage and control the user interface 1003.
In the storage device shown in fig. 1, the storage device calls a project management program stored in a memory 1005 through a processor 1001 and performs operations in the following embodiments of the project management method based on the AIOT DaaS digital twin cloud platform.
Based on the hardware structure, the embodiment of the project management method based on the AIOT DaaS digital twin cloud platform is provided.
Referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of a project management method based on an AIOT DaaS digital twin cloud platform, where the method includes:
step S10, when receiving a project access instruction, acquiring project information of a project corresponding to the project access instruction, and performing digital modeling according to the project information to obtain a project digital model;
and step S20, acquiring the operation data of the project, and managing the project according to the operation data and the project digital model.
The project management method based on the AIOT DaaS digital twin cloud platform is applied to a project management system, the project management system is in communication connection with the artificial intelligence digital twin cloud platform, and can acquire the operation data information of a project and manage the project; for convenience of description, the project management system is taken as an example for explanation; the method comprises the steps that when a project access instruction is received by a project management system, project information of a project corresponding to the project access instruction is obtained, terminal type information and terminal connection relation information corresponding to a terminal device set contained in the project are determined according to the project information, and the terminal device set is subjected to digital modeling through an artificial intelligent digital twin cloud platform according to the terminal type information to obtain a terminal device digital model set; the project management system connects each terminal equipment digital model in the terminal equipment digital model set through a digital main line according to the terminal connection relation information to obtain a project digital model; the project management system acquires current data of each terminal device contained in a project through an artificial intelligence digital twin cloud platform according to a first preset period, determines running data of the project according to the current data, responds to a query instruction of a user, and displays the running data of the project and/or the current data of each terminal device to the user through virtual reality equipment in combination with a project digital model to realize project management; the project management system acquires a historical data set corresponding to a project, acquires prediction data according to the project digital model and the historical data set, acquires operation data of the project, compares the operation data with the prediction data, determines whether to alarm or not according to a comparison result, and manages the project. It should be noted that the project management system is in communication connection with the artificial intelligence digital twin cloud platform, and the project management system interacts with the user by being mounted in a virtual reality device, which may be an MR (mixed reality) device or a VR (augmented reality) device; the project may include a plurality of intelligent terminal devices, and the project has a plurality of users and is applied to a plurality of platforms correspondingly, so the project information includes intelligent terminal device information, user information, platform information and the like; the artificial intelligence digital twin cloud platform is an AIOTDAaS digital twin cloud platform and comprises a service center and a data center which are connected with each other; the data center station is used for acquiring, calculating, storing and processing data collected by an AIOTDAaS data twin center station mode, and formed standard data is stored and transmitted to the service center station; the business center is used for combining standard data transmitted based on the data center with industry application to form a model and a product aiming at the industry application, so that a user can quickly package a business product based on the business center. The artificial intelligence thing networking platform is an AIOT PaaS thing networking platform, and the artificial intelligence thing networking platform comprises an AI edge computing, a digital chip, an edge storage computing and module technology.
In the project management method based on the AIOT DaaS digital twin cloud platform in the embodiment, when a project access instruction is received, project information of a project corresponding to the project access instruction is obtained, and according to the project information, digital modeling is performed through the AIOT DaaS artificial intelligence digital twin cloud platform to obtain a project digital model; acquiring the operation data of the project, and managing the project according to the operation data and the project digital model; according to the invention, the digital modeling is carried out according to the project information to obtain the project digital model, the project operation data is obtained, and the global digital management of the projects including multiple devices and multiple clients is realized according to the project operation data and the project digital model, so that the intelligence and the visibility of the project management are improved, and the enterprise and project management efficiency and the accuracy of data analysis are improved.
The respective steps will be described in detail below:
step S10, when a project access instruction is received, acquiring project information of a project corresponding to the project access instruction, and according to the project information, carrying out digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform to obtain a project digital model;
in this embodiment, when a project access instruction input by a manager or a user through virtual reality equipment is received, a project management system obtains project information of a project corresponding to the project access instruction, and performs digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model; in one embodiment, when a manager or a user has a new project to run, the project needs to be managed by the project management system, at this time, the manager or the user inputs a project access instruction through a virtual reality device, such as MR glasses, VR devices, etc., on which the project management system is mounted, when the project management system receives the project receiving instruction, the project information needed to be obtained is displayed in a human-computer interaction interface of the virtual reality device, the user can input the project information by himself, or the virtual reality device scans an entity intelligent terminal device of the project, a design drawing of the project, and various related data of the project, so that the project management system obtains the project information corresponding to the project, the project management system digitally models the project through an artificial intelligent digital twin cloud platform connected with the project information, a digital model of the item is obtained. It will be appreciated that the project management system may manage multiple projects simultaneously. It should be noted that the digital model of the item is a digitization of a current entity of the item on the artificial intelligence digital twin cloud platform, and it is simply understood that, assuming that the item is actually an airplane, the digital model of the item is an airplane on the artificial intelligence digital twin cloud platform, only the whole of the airplane, each part and the like in reality are digitized, and supplier information of each part, customer information corresponding to the item, and the like are recorded.
Specifically, according to the project information, the digital modeling is carried out through an AIOT DaaS artificial intelligence digital twin cloud platform, and the step of obtaining a project digital model comprises the following steps:
step a, according to the project information, determining terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in the project, and performing digital modeling on the terminal equipment set through an artificial intelligent digital twin cloud platform according to the terminal type information to obtain a terminal equipment digital model set;
in the step, the project management system determines terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in a project according to project information, and digitally models the terminal equipment set through an artificial intelligent digital twin cloud platform according to the terminal type information to obtain a terminal equipment digital model set; in one embodiment, it is assumed that the set of terminal devices of an item includes five terminal devices, and the connection relationship of the five terminal devices is: the method comprises the steps that a terminal device 1 is connected with a terminal device 2, the terminal device 2 is connected with a terminal device 3, the terminal device 3 is connected with a terminal device 4 and a terminal device 5, a project management system determines terminal type information corresponding to five terminal devices in a terminal device set and connection relation information of the terminal devices according to project information, and according to the terminal type information of the terminal devices, all the five terminal devices in the terminal device set are subjected to digital modeling through an artificial intelligent digital twin cloud platform, so that a terminal device digital model set containing digital models of the five terminal devices is obtained.
And b, connecting each terminal equipment digital model in the terminal equipment digital model set through the digital main line according to the terminal connection relation information to obtain a project digital model.
In the step, the project management system connects each terminal device digital model in the terminal device digital model set through a digital main line according to the terminal connection relation information of each terminal device in the project to obtain a project digital model; in one embodiment, it is assumed that the set of terminal devices of an item includes five terminal devices, and the connection relationship of the five terminal devices is: the method comprises the following steps that a terminal device 1 is connected with a terminal device 2, the terminal device 2 is connected with a terminal device 3, the terminal device 3 is connected with a terminal device 4 and a terminal device 5, a project management system determines terminal connection relation information of five terminal devices according to project information, and five terminal device digital models in a terminal device digital model set are connected through a digital main line according to the terminal connection relation information to obtain a project digital model; it should be noted that the digital main line can clarify the association relationship between the digital models of the terminal devices included in the digital model of the project and provide support for data transmission, and imitate the working principle of the project in reality as much as possible.
Furthermore, the project management system can generate a corresponding user portrait through an artificial intelligence digital twin cloud platform according to user information, platform information and the like included in the project information, analyzes the requirements, satisfaction, suggestions and the like of most users on used projects according to the user portrait, provides valuable data for production and design manufacturers of the projects, and further improves and optimizes the projects.
And step S20, acquiring the operation data of the project, and managing the project according to the operation data and the project digital model.
In this embodiment, the project management system acquires the operation data of the project and manages the project according to the operation data and the project digital model, and further, the project management system can manage the project according to the operation instruction, the operation data and the project digital model in combination with the operation instruction input by the user; it can be understood that the management of the project includes monitoring, querying, optimizing, alarming and the like of the project, and the project management system analyzes the operation data and the project digital model through the artificial intelligent digital twin cloud platform to obtain an analysis result required by the user.
Further, the project management system can analyze the operation data and the project digital model through the artificial intelligent digital twin cloud platform to obtain an analysis result required by a user, obtain supplier information of terminal equipment with better performance in a project, and push the corresponding supplier information to a client corresponding to the corresponding project, so that the client can select a high-quality supplier; the project management system can also analyze the operation data and the project digital model through the artificial intelligent digital twin cloud platform to obtain an analysis result required by a user, obtain supplier information of terminal equipment with better performance in a project, and push client information of the terminal equipment in the use project to a corresponding supplier, so that the supplier can know which clients can cooperate and the like.
Specifically, step S20 includes:
step c, according to a first preset period, obtaining current data of each terminal device contained in the project through the artificial intelligence digital twin cloud platform, and determining operation data of the project according to the current data;
in the step, the project management system obtains current data of each terminal device contained in the project through an artificial intelligence digital twin cloud platform according to a first preset period, and determines operation data of the project according to the current data; in one embodiment, a project management system determines a terminal device and a connection relationship between terminal devices included in a certain project, each terminal device is provided with an intelligent gateway, an intelligent sensor and the like, the intelligent sensor in each terminal device acquires current data generated by the terminal device during operation according to a first preset period, the current data includes but is not limited to state data, input and output data and the like of the terminal device, the intelligent sensor in each terminal device sends the current data to the project management system through the intelligent gateway, the project management system acquires the current data of each terminal device included in the project through an artificial intelligent digital twin cloud platform, and the artificial intelligent digital twin cloud platform determines operation data of the project according to the current data and the connection relationship between the terminal devices; it is understood that the status data includes the temperature of the terminal device, the data upload and download rate, the health status, etc.
And d, responding to a query instruction of a user, and combining the operation data of the project and/or the current data of each terminal device with the project digital model through virtual reality equipment to be displayed to the user.
In the step, after the project management system determines the operation data of the project, responding to the query instruction of the user, and showing the operation data of the project and/or the current data of each terminal device to the user by combining the project digital model through the virtual reality device; it can be understood that the project management system can update the operation data of the project in real time, that is, even if the project management system does not receive the query instruction of the user, the project management system also updates the operation data of the project in real time at the background, when the project management system receives the query instruction input by the user through the virtual reality device, the project management system displays the operation data of the project corresponding to the query instruction of the user to the user by combining the operation data of the project with the project digital model through the virtual reality device, and when the user inputs and queries each terminal device through the virtual reality device, the project management system displays the current data of each terminal device to the user by combining the current data of the project digital model through the virtual reality device, and it can be understood that the user can remotely query the operation data of the project through the virtual reality device.
Furthermore, when the user is at the location where the item is arranged, the item and/or the terminal device included in the item can be scanned through the virtual reality device, and the virtual reality device can display corresponding data to the user in combination with the scanned real image.
Further, step c is followed by:
step c1, acquiring current time according to the first preset period, and marking the current data of each terminal device and the operation data of the project according to the current time;
in the step, the project management system acquires the current time according to a first preset period, and marks the current data of each terminal device and the running data of the project according to the current time; in an embodiment, assuming that the first preset period is 5 seconds, the project management system determines the current time every 5 seconds, for example, 12 months 12:00 months 12 in 2021, and after determining the current time, the project management system marks the current data of each terminal device and the operation data of the project according to the current time, that is, the current time is bound with the current data of each terminal device and the operation data of the project.
And c2, storing the marked current data and the marked operation data to obtain a historical data set.
In this step, the project management system stores the current data and the operation data of each marked terminal device, and continues to obtain the current data and the operation data of each terminal device of the next first preset period and the corresponding time, and further stores them to obtain a historical data set.
Further, step c2 is followed by:
step c21, acquiring the historical data set according to a second preset period or the optimization instruction of the user, and generating a project optimization scheme according to the historical data set through an artificial intelligence digital twin cloud platform;
in this step, the project management system acquires a historical data set according to a second preset period or an optimization instruction of a user, and generates a project optimization scheme according to the historical data set through the artificial intelligence digital twin cloud platform, in an embodiment, if the second preset period is one month, and the project management system does not receive the optimization instruction of the user within the second preset period, that is, within one month, the historical data set corresponding to the project is acquired according to the second preset period, and the historical data set of the project is analyzed through the artificial intelligence digital twin cloud platform to obtain a corresponding optimization scheme; or the project management system receives an optimization instruction of a user within a second preset period, namely one month, obtains a historical data set corresponding to the project, and analyzes the historical data set of the project through the artificial intelligence digital twin cloud platform to obtain a corresponding optimization scheme; it should be noted that the optimization scheme may be to upgrade codes in the intelligent chip modules in the terminal devices in the project or perform integrated optimization on the terminal devices in the project.
And c22, displaying the project optimization scheme to the user through the virtual reality equipment.
In the step, after the project management system obtains the optimization scheme, the project optimization scheme is displayed to the user through the virtual reality equipment, and the user determines whether to optimize according to the optimization scheme. Further, if the optimization scheme is to upgrade the codes in the intelligent chip modules in the terminal equipment in the project, the project management system automatically upgrades the codes in the intelligent chip modules in the terminal equipment in the project when receiving an instruction determined by a user to perform optimization.
Specifically, step S20 further includes:
step e, acquiring a historical data set corresponding to the project, and obtaining prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform;
in this step, the project management system obtains a historical data set corresponding to the project, and obtains prediction data according to the project digital model and the historical data set by the artificial intelligence digital twin cloud platform, such as: the project management equipment obtains a historical data set corresponding to a project, and obtains prediction data through an artificial intelligent digital twin cloud platform according to the historical data set and in combination with each terminal equipment digital model in the project digital model and the connection relation between each terminal equipment, wherein the prediction data comprises project operation prediction data, operation data and state data of each terminal equipment and the like.
And f, acquiring the operation data of the project, comparing the operation data with the prediction data, and determining whether to alarm or not according to the comparison result.
In the step, the project management system acquires operation data generated during the actual operation of the project, compares the operation data with the prediction data, and determines whether to alarm or not according to the comparison result. It can be understood that the contact information of the contact person corresponding to the project is prestored in the project management system, and when the alarm is determined to be required, the corresponding contact person is contacted according to the contact information of the responsible person.
Further, the step of determining whether to alarm according to the comparison result comprises:
step f1, if the comparison result is that the difference value between the operation data and the prediction data is larger than a preset threshold value, acquiring contact information corresponding to the project, and giving an alarm according to the contact information;
in the step, if the item management system obtains a comparison result that the difference value between the operation data and the prediction data is larger than a preset threshold value, acquiring contact person information corresponding to an item, and giving an alarm according to the contact person information; it can be understood that the contact information may be WeChat, a telephone number, a mailbox, and the like, when the alarm is serious, the project management system may directly display the alarm information in the virtual reality wearable device worn by the user, and if the user does not wear the corresponding wearable device, the alarm information is sent to the user according to the emergency contact mode set by the user.
Step f2, if the comparison result is that the difference value between the operation data and the prediction data is not greater than a preset threshold value, returning to execute the step: and acquiring a historical data set corresponding to the project, and acquiring prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform.
In the step, if the comparison result is obtained, if the difference value between the operation data and the prediction data is not larger than the preset threshold value, the project management system returns to execute the historical data set corresponding to the acquired project, obtains the prediction data according to the project digital model and the historical data set through the artificial intelligence digital twin cloud platform, and performs the subsequent steps.
The project management system of the embodiment acquires project information of a project corresponding to a project access instruction when receiving the project access instruction, determines terminal type information and terminal connection relation information corresponding to a terminal device set included in the project according to the project information, and digitally models the terminal device set according to the terminal type information to obtain a terminal device digital model set; the project management system connects each terminal equipment digital model in the terminal equipment digital model set through a digital main line according to the terminal connection relation information to obtain a project digital model; the project management system acquires current data of each terminal device contained in the project according to a first preset period, determines running data of the project according to the current data, responds to a query instruction of a user, and displays the running data of the project and/or the current data of each terminal device to the user by combining a project digital model through virtual reality equipment to realize project management; the project management system acquires a historical data set corresponding to a project, acquires prediction data according to a project digital model and the historical data set, acquires operation data of the project, compares the operation data with the prediction data, and determines whether to alarm or not according to a comparison result to realize project management; the intelligence of project management is improved, and then the efficiency of project management and the accuracy of data analysis are improved.
The invention further provides a project management device based on the AIOT DaaS digital twin cloud platform. The project management device based on the AIOT DaaS digital twin cloud platform comprises:
the system comprises a receiving module, a digital model generating module and a data processing module, wherein the receiving module is used for acquiring project information of a project corresponding to a project access instruction when the project access instruction is received, and carrying out digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model;
and the acquisition module is used for acquiring the operation data of the project and managing the project according to the operation data and the project digital model.
Further, the receiving module is further configured to:
according to the project information, determining terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in the project, and according to the terminal type information, carrying out digital modeling on the terminal equipment set through an artificial intelligent digital twin cloud platform to obtain a terminal equipment digital model set;
and connecting each terminal equipment digital model in the terminal equipment digital model set through the digital main line according to the terminal connection relation information to obtain the project digital model.
Further, the obtaining module is further configured to:
according to a first preset period, obtaining current data of each terminal device contained in the project through the artificial intelligence digital twin cloud platform, and determining operation data of the project according to the current data;
and responding to a query instruction of a user, and showing the operation data of the project and/or the current data of each terminal device to the user by combining the project digital model through a virtual reality device.
Further, the obtaining module further includes a storage module, and the storage module is configured to:
acquiring current time according to the first preset period, and marking the current data of each terminal device and the operation data of the project according to the current time;
and storing the marked current data and the marked running data to obtain a historical data set.
Further, the obtaining module is further configured to:
acquiring the historical data set according to a second preset period or the optimization instruction of the user, and generating a project optimization scheme according to the historical data set through an artificial intelligent digital twin cloud platform;
and displaying the project optimization scheme to the user through the virtual reality equipment.
Further, the obtaining module is further configured to:
acquiring a historical data set corresponding to the project, and obtaining prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform;
and acquiring the operation data of the project, comparing the operation data with the prediction data, and determining whether to alarm or not according to the comparison result.
Further, the obtaining module further comprises a comparing module, and the comparing module is configured to:
if the comparison result is that the difference value of the operation data and the prediction data is larger than a preset threshold value, acquiring contact person information corresponding to the project, and giving an alarm according to the contact person information;
if the comparison result is that the difference value between the operation data and the prediction data is not larger than a preset threshold value, returning to the execution step: and acquiring a historical data set corresponding to the project, and acquiring prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform.
The invention further provides a project management system based on the AIOT DaaS digital twin cloud platform.
The project management system based on the AIOT DaaS digital twin cloud platform comprises: a memory, a processor and a project management program stored on the memory and executable on the processor, the project management program when executed by the processor implementing the steps of the AIOT DaaS digital twin cloud platform based project management method as described above.
The method implemented when the project management program running on the processor is executed may refer to each embodiment of the project management method based on the AIOT DaaS digital twin cloud platform of the present invention, and details are not described herein again.
The invention also provides a computer readable storage medium.
The computer readable storage medium has stored thereon a project management program which, when executed by a processor, implements the steps of the method for project management based on the AIOT DaaS digital twin cloud platform as described above.
The method implemented when the project management program running on the processor is executed may refer to each embodiment of the project management method based on the AIOT DaaS digital twin cloud platform of the present invention, and details are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention essentially or contributing to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The project management method based on the AIOT DaaS digital twin cloud platform is characterized by comprising the following steps of:
when a project access instruction is received, acquiring project information of a project corresponding to the project access instruction, and performing digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model;
and acquiring the operation data of the project, and managing the project according to the operation data and the project digital model.
2. The AIOT DaaS digital twin cloud platform-based project management method according to claim 1, wherein the step of obtaining a project digital model by performing digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information comprises:
according to the project information, determining terminal type information and terminal connection relation information corresponding to a terminal equipment set contained in the project, and according to the terminal type information, carrying out digital modeling on the terminal equipment set through an artificial intelligent digital twin cloud platform to obtain a terminal equipment digital model set;
and connecting each terminal equipment digital model in the terminal equipment digital model set through the digital main line according to the terminal connection relation information to obtain the project digital model.
3. The AIOT DaaS digital twin cloud platform-based project management method according to claim 1, wherein the step of obtaining the operation data of the project and managing the project according to the operation data and the project digital model comprises:
according to a first preset period, obtaining current data of each terminal device contained in the project through the artificial intelligence digital twin cloud platform, and determining operation data of the project according to the current data;
and responding to a query instruction of a user, and showing the operation data of the project and/or the current data of each terminal device to the user by combining the project digital model through a virtual reality device.
4. The AIOT DaaS digital twin cloud platform-based project management method according to claim 3, wherein after the step of obtaining, by the artificial intelligence digital twin cloud platform, current data of each terminal device included in the project according to a first preset period, and determining operation data of the project according to the current data, the AIOT DaaS digital twin cloud platform-based project management method further comprises:
acquiring current time according to the first preset period, and marking the current data of each terminal device and the operation data of the project according to the current time;
and storing the marked current data and the marked running data to obtain a historical data set.
5. The AIOT DaaS digital twin cloud platform based project management method according to claim 4, wherein after the step of storing the marked current data and the running data to obtain a historical data set, the AIOT DaaS digital twin cloud platform based project management method comprises:
acquiring the historical data set according to a second preset period or the optimization instruction of the user, and generating a project optimization scheme according to the historical data set through an artificial intelligent digital twin cloud platform;
and displaying the project optimization scheme to the user through the virtual reality equipment.
6. The AIOT DaaS digital twin cloud platform-based project management method according to claim 1, wherein the step of obtaining the operation data of the project and managing the project according to the operation data and the project digital model further comprises:
acquiring a historical data set corresponding to the project, and obtaining prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform;
and acquiring the operation data of the project, comparing the operation data with the prediction data, and determining whether to alarm or not according to the comparison result.
7. The AIOT DaaS digital twin cloud platform-based project management method according to claim 6, wherein the step of determining whether to alarm or not according to the comparison result comprises:
if the comparison result is that the difference value of the operation data and the prediction data is larger than a preset threshold value, acquiring contact person information corresponding to the project, and giving an alarm according to the contact person information;
if the comparison result is that the difference value between the operation data and the prediction data is not larger than a preset threshold value, returning to the execution step: and acquiring a historical data set corresponding to the project, and acquiring prediction data according to the project digital model and the historical data set through the artificial intelligent digital twin cloud platform.
8. An AIOT DaaS digital twin cloud platform-based project management apparatus, characterized in that the AIOT DaaS digital twin cloud platform-based project management apparatus comprises:
the system comprises a receiving module, a digital model generating module and a data processing module, wherein the receiving module is used for acquiring project information of a project corresponding to a project access instruction when the project access instruction is received, and carrying out digital modeling through an AIOT DaaS artificial intelligence digital twin cloud platform according to the project information to obtain a project digital model;
and the acquisition module is used for acquiring the operation data of the project and managing the project according to the operation data and the project digital model.
9. A project management system based on an AIOT DaaS digital twin cloud platform is characterized in that the project management system based on the AIOT DaaS digital twin cloud platform comprises: memory, a processor and a project management program stored on the memory and executable on the processor, the project management program when executed by the processor implementing the steps of the AIOT DaaS digital twin cloud platform based project management method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a project management program, which when executed by a processor, implements the steps of the method for project management based on an AIOT DaaS digital twin cloud platform according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210113595.6A CN114140099A (en) | 2022-01-30 | 2022-01-30 | Project management method based on AIOTDAaS digital twin cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210113595.6A CN114140099A (en) | 2022-01-30 | 2022-01-30 | Project management method based on AIOTDAaS digital twin cloud platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114140099A true CN114140099A (en) | 2022-03-04 |
Family
ID=80381949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210113595.6A Pending CN114140099A (en) | 2022-01-30 | 2022-01-30 | Project management method based on AIOTDAaS digital twin cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114140099A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114418458A (en) * | 2022-03-17 | 2022-04-29 | 深圳市爱云信息科技有限公司 | Process parameter adjusting method based on digital twin DaaS platform |
| CN114721344A (en) * | 2022-06-10 | 2022-07-08 | 深圳市爱云信息科技有限公司 | Intelligent decision method and system based on digital twin DaaS platform |
| CN115062493A (en) * | 2022-07-22 | 2022-09-16 | 东方电子股份有限公司 | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method |
| CN116503042A (en) * | 2023-03-15 | 2023-07-28 | 上海天方夜谭网络科技有限公司 | Method and platform for processing training data of maintenance personnel |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020070758A2 (en) * | 2018-10-03 | 2020-04-09 | Tata Consultancy Services Limited | Systems and methods for simulation of humans by human twin |
| CN112162519A (en) * | 2020-10-21 | 2021-01-01 | 桂林电子科技大学 | Compound machine tool digital twin monitoring system |
| CN112731887A (en) * | 2020-12-31 | 2021-04-30 | 南京理工大学 | Digital twin intelligent monitoring system and method for petrochemical unattended loading and unloading line |
| CN112767058A (en) * | 2021-02-05 | 2021-05-07 | 深圳市爱云信息科技有限公司 | AIOT DaaS digital twin cloud platform |
| CN113344505A (en) * | 2021-05-11 | 2021-09-03 | 广东省科学院智能制造研究所 | Sanitary ware product assembly production management system and method based on digital twinning |
-
2022
- 2022-01-30 CN CN202210113595.6A patent/CN114140099A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020070758A2 (en) * | 2018-10-03 | 2020-04-09 | Tata Consultancy Services Limited | Systems and methods for simulation of humans by human twin |
| CN112162519A (en) * | 2020-10-21 | 2021-01-01 | 桂林电子科技大学 | Compound machine tool digital twin monitoring system |
| CN112731887A (en) * | 2020-12-31 | 2021-04-30 | 南京理工大学 | Digital twin intelligent monitoring system and method for petrochemical unattended loading and unloading line |
| CN112767058A (en) * | 2021-02-05 | 2021-05-07 | 深圳市爱云信息科技有限公司 | AIOT DaaS digital twin cloud platform |
| CN113344505A (en) * | 2021-05-11 | 2021-09-03 | 广东省科学院智能制造研究所 | Sanitary ware product assembly production management system and method based on digital twinning |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114418458A (en) * | 2022-03-17 | 2022-04-29 | 深圳市爱云信息科技有限公司 | Process parameter adjusting method based on digital twin DaaS platform |
| CN114721344A (en) * | 2022-06-10 | 2022-07-08 | 深圳市爱云信息科技有限公司 | Intelligent decision method and system based on digital twin DaaS platform |
| CN115062493A (en) * | 2022-07-22 | 2022-09-16 | 东方电子股份有限公司 | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method |
| CN116503042A (en) * | 2023-03-15 | 2023-07-28 | 上海天方夜谭网络科技有限公司 | Method and platform for processing training data of maintenance personnel |
| CN116503042B (en) * | 2023-03-15 | 2023-12-19 | 上海天方夜谭网络科技有限公司 | Method and system suitable for processing training data of inspection and maintenance personnel |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114140099A (en) | Project management method based on AIOTDAaS digital twin cloud platform | |
| CN110321273B (en) | Service statistics method and device | |
| CN104981768B (en) | Stream data receiver and save routine based on cloud | |
| CN110197331A (en) | Business data processing method, device, equipment and computer readable storage medium | |
| CN109684047A (en) | Event-handling method, device, equipment and computer storage medium | |
| CN110018860B (en) | Workflow management method, device, equipment and computer storage medium | |
| CN109284106A (en) | Method for release management, electronic device and the readable storage medium storing program for executing of business rule | |
| CN105468161A (en) | Instruction execution method and device | |
| CN112669110A (en) | Server label management method and related equipment | |
| CN114650167B (en) | Abnormality detection method, abnormality detection device, abnormality detection equipment and computer-readable storage medium | |
| CN114461304A (en) | Configuration file determining method and device, storage medium and electronic equipment | |
| CN111177541A (en) | Data analysis method and device based on user tag generation time, server and storage medium | |
| CN112785418A (en) | Credit risk modeling method, credit risk modeling device, credit risk modeling equipment and computer readable storage medium | |
| CN114157546A (en) | Digital factory solution method based on artificial intelligence Internet of things platform | |
| CN117009659A (en) | Package recommendation method, device, equipment and storage medium | |
| CN114390093B (en) | Virtual gateway simulation system | |
| CN116166556A (en) | Code analysis method, device and system | |
| CN114721344A (en) | Intelligent decision method and system based on digital twin DaaS platform | |
| CN104462106A (en) | Data updating method and system | |
| CN113297491A (en) | Service subscription information pushing method and system based on social network | |
| CN113377473A (en) | Task creation method and device, electronic equipment and computer readable storage medium | |
| CN112130924B (en) | Application system data analysis method and device | |
| CN103297479A (en) | Distributed detection method and device with upgraded plugin | |
| CN116760647B (en) | Parameter self-adaption-based multiparty security computing method, system and storage medium | |
| CN114549184A (en) | Operation monitoring method and device of wind control model, electronic equipment and storage medium |
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 |