CN114741954A - Intelligent twin system based on intelligent and virtual technology - Google Patents
Intelligent twin system based on intelligent and virtual technology Download PDFInfo
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- CN114741954A CN114741954A CN202210265062.XA CN202210265062A CN114741954A CN 114741954 A CN114741954 A CN 114741954A CN 202210265062 A CN202210265062 A CN 202210265062A CN 114741954 A CN114741954 A CN 114741954A
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Abstract
The invention provides a digital intelligence twin system realized based on intelligent and virtual technologies, which comprises a scene unit, a digital intelligence factor, a digital virtual body and a digital intelligence field, wherein the digital intelligence factor comprises a pre-stored physical rule and a pre-stored rule, and the digital virtual body is a component of various non-fixed digital intelligence bodies artificially generated in a virtual world; the digital intelligent field is a fixed component generated artificially and/or non-artificially in the virtual world; the decision unit is used for giving a plurality of decision schemes according to the task purpose; the virtual practice unit is used for constructing a practice field based on the task purpose and the scene unit so as to carry out virtual practice, and screening out an optimal scheme based on the virtual practice effect of each decision scheme; and the virtual-real connecting unit is used for connecting the virtual world and the real world. The scheme is based on a digital twin new method, grasps the main contradiction of a real physical entity, and only restores the physical entity and the model which substantially help the real decision, so as to achieve the purpose of quickly realizing the decision migration, deployment and implementation from the virtual to the real decision.
Description
Technical Field
The invention belongs to the technical field of digital twins, and particularly relates to a digital intelligent twins system based on intelligent and virtual technologies.
Background
Twin technology is often widely mentioned in the context of digital twins as an effective way to address human productivity and life problems.
The digital twins mainly mean that various physical and social entities are twinned to a virtual digital world by utilizing physical laws and social rules of the real world and various numerical simulation methods, and virtual practice is carried out in the virtual world so as to check whether schemes, decisions (such as space-based detector design schemes and disaster rescue decisions) and the like are reasonable and feasible.
The concept of the current mainstream digit twin is more the duplication of physical entities, and emphasis is put on the mapping and association of reality to realize high-fidelity modeling and real-time dynamic representation of the real physical world. The current concept of digital twins seems to be completely feasible in theory, but in practical application, the high fidelity restoration of the real physical world consumes huge resources, and the real restoration of the complex physical world is a very difficult thing, so that various restoration problems are often faced in practice.
In addition, the current digital twins only emphasize that the virtual world is the duplication of the real physical world, the scheme and the decision are subjected to simulation inspection by utilizing the duplicated virtual world, and the human being cannot be effectively, quickly and correctly guided to make the decision by utilizing virtual practice, namely the function of the current digital twins technology in production and life is not in direct proportion to the energy consumed by realizing the digital twins duplication of the real world.
Disclosure of Invention
The invention aims to solve the problems and provides a digital intelligent twin system based on intelligent and virtual technologies.
In order to achieve the purpose, the invention adopts the following technical scheme:
a digital intelligent twin system realized based on intelligent and virtual technologies comprises a scene unit, a virtual practice unit, a virtual-real connection unit and a decision unit, wherein the scene unit, the virtual practice unit, the virtual-real connection unit and the decision unit are connected in sequence, and the decision unit is used for determining the virtual reality connection unit
The system comprises a scene unit, a digital intelligence factor, a digital virtual body and a digital intelligence field, wherein the digital intelligence factor comprises a pre-stored physical rule and a pre-stored rule, and the digital virtual body is a component of various non-fixed digital intelligence bodies artificially generated in a virtual world; the mathematical intelligence field is a fixed component generated artificially and/or non-artificially in the virtual world;
the decision unit is used for giving a plurality of decision schemes according to the task purpose;
the virtual practice unit is used for constructing a practice field based on the task purpose and the scene unit so as to carry out virtual practice, and screening out an optimal scheme based on the virtual practice effect of each decision scheme;
and the virtual-real connecting unit is used for connecting the virtual world and the real world.
In the above-mentioned digital intelligent twinning system realized based on intelligent and virtual technologies, the digital intelligent agent includes two models, a structural agent and a behavioral agent, the structural agent includes a structural model, a dynamic model, a thermal effect model, an electromagnetic model and an optical model, and the behavioral model includes a cognitive model, a decision model, a control model, an organization model and a behavioral model.
In the above-mentioned digital intelligent twin system realized based on intelligence and virtual technology, the virtual practice unit is further used for determining the environment, events and digital intelligence bodies participating in practice according to task purposes, capturing corresponding requirements from the scene unit and injecting the requirements into a practice field;
the virtual practice unit comprises a practice regulator used for globally planning the practice process according to the decision-making scheme.
In the above-mentioned intelligence twin system realized based on intelligence and virtual technology, the practice object of the virtual practice unit is the intelligence in the constructed practice field, and under each decision scheme, the planned intelligence is guided to execute the corresponding virtual task based on the planned practice process.
In the above intelligent and virtual technology-based digital twin system, the digital virtual entity includes a plurality of digital brains as monitoring units, a plurality of digital brains as execution units, and a plurality of digital brains as sensing units.
In the above-mentioned digital twin system based on intelligent and virtual technology, the virtual practice unit further comprises,
the scene annotator is used for tagging the virtual practice scene so that the process can be traced, analyzed and reused;
the environment constructor is used for dynamically generating a virtual geographic environment, a virtual facility, a virtual physical field and a virtual social environment according to the requirements of the practice regulator, generating a virtual environment through the multi-state iterator, acting on the practice field and generating an environment driving force for a virtual practice process;
the event generator is used for generating various possible events according to the requirements of the practice regulator and acting on a practice field to provide uncertain factors and drive multi-path exploration for virtual practice;
the action driver is used for controlling the action of the corresponding mathematic agent according to the intention effect and the task requirement, and intelligently taking autonomous, controlled or group cooperative action under the inherent constraint of the mathematic agent;
scale control, namely determining the scale and granularity of a practical object according to practical requirements, and performing scale decomposition on the practical object at a specific moment or space to enable the practical object to participate in practice in a mode of finer granularity;
and the process recorder and the comprehensive evaluation device are used for recording each practical process and evaluating each practical effect so as to screen out an optimal scheme.
In the above-mentioned digital intelligent twin system realized based on intelligent and virtual technologies, the digital intelligent field includes terrain and landform, air pressure, temperature, electromagnetic field, visibility, atmospheric state and geographic information.
In the above-mentioned intelligence twin system realized based on intelligence and virtual technology, the system further comprises a virtual memory unit, wherein the virtual memory unit acquires virtual experience based on virtual practical data to form virtual memory and construct virtual knowledge.
In the above-mentioned intelligence twin system implemented based on intelligence and virtual technology, the decision unit includes an intelligence cultivation unit for performing intelligent learning based on virtual experience.
In the above-mentioned digital intelligence twin system realized based on intelligence and virtual technology, the virtual-real connection unit includes a digital intelligence umbilical cord for connecting the internet of things of the real world to send physical data into the virtual world, and for transmitting the scheme screened out by the virtual world to the internet of things of the real world.
The invention has the advantages that:
1. the scheme develops a new way, grasps the main contradiction of a real physical entity, and only restores the physical entity and the model which have substantial help for the real decision so as to realize the migration, deployment and implementation of the decision from the virtual to the real fast;
2. the scheme focuses on rapidly calculating the optimal practice scheme by using an intelligent algorithm, intelligently and rapidly adjusting the virtual practice scheme according to the change of the real environment mapped into the virtual world, and meanwhile synchronizing the adjusted scheme or strategy into the real world so as to achieve the aim of better serving human beings.
Drawings
FIG. 1 is a flow chart of the operation of a digital intelligent twin system based on intelligent and virtual technology implementation of the present invention;
FIG. 2 is a diagram of the logical architecture of the digital intelligent agent of the present invention;
FIG. 3 is a panoramic logical model of the virtual practice process in the virtual practice unit of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description.
As shown in fig. 1, the present solution provides a mathematic twinborn concept, which is mainly implemented by a mathematic agent, a digital virtual body, a mathematic field, a virtual practice unit, a mathematic umbilical cord and a decision unit, wherein the decision unit is used for providing a plurality of decision schemes according to the task purpose, and the decision unit comprises an empirical mathematic cultivation unit for learning by using a large amount of virtual experiences generated in the virtual practice so as to continuously improve the decision capability of the decision unit.
(1) The digital intelligent agent comprises a pre-stored physical rule and a preset rule, wherein the physical rule is a natural rule extracted from development and change of a real natural environment, and the preset rule is designed by a user according to task requirements and meets physical characteristics of specific objects and task purposes. In the virtual practice process, the variation can be generated through intelligent learning, and a new mathematical intelligence modulus factor which is more beneficial to realizing the task goal is generated. The mathematical intelligence model reflects the intrinsic factors of the change and development of the real world, is the basis of the construction of the virtual world, and is a numerical method for engineering the physical law or behavior law for determining the occurrence and development of things, so that the real world exists in the form of numbers in the mathematical model of the virtual world.
As shown in fig. 2, the mathematical model includes two models, a structural model and a behavioral model, and the physical and chemical forms thereof are different "model factor fragments" that determine endogenous factors such as structure, dynamics and rules of things. The structural model is a digital representation of the structure of the object, and includes digital models, algorithms and the like of physical, environmental, social and other factors, such as a structural model, a dynamic model, a thermal effect model, an electromagnetic model and a light model. The behavior model is a digital expression of things behaviors and comprises behavior rules, a handling process, decision judgment and other factors, such as a cognitive model, a decision model, a control model, an organization model and a behavior model.
By introducing the concept of the mathematical intelligence causes, the internal dynamic causes of all things in all states are sought, the 'mathematical intelligence causes piece' is constructed and assembled by taking the endogenous factors as the center, each segment determines the physical structure, the dynamic characteristic or the behavior rule of each segment, and the endogenous factors are abstracted as far as possible from specific entities so as to realize twins by an engineering method.
In actual putting, most of the construction models come from the intelligent manufacturing industry, and the construction process of the construction models can be carried out by utilizing the technologies of Computer Aided Design (CAD), aided manufacturing (CAM), aided engineering (CAE), aided process design (CAPP), Building Information Models (BIM) of the building industry and the like. Building an entity according to the model factors, and twining the entity with the same structure as the digital virtual world in the physical world.
The behavior model is mostly generated in the field of sociology, a research method of natural science is used for reference, a structured framework is used for describing behaviors, relations, modes and rules of social organizations, technologies or methods such as a system architecture, a workflow, a value chain, a behavior tree and the like are combined, a structured modeling result based on the social behaviors is established, the behavior rules such as cognition, behaviors and organizations can be described, and a planning model for executing a task can also be described.
(2) The digital virtual body is a component of various non-fixed digital intelligence bodies artificially generated in the virtual world; the digital virtual body can be a digital expression of the existing physical structure of a specific thing or the behavior rule of a social entity, or can be a digital intelligent body which is designed according to the physical rule or the behavior logic and does not exist in the real world. For the mathematic intelligence body mapping the real world, the main function is to provide reference for judging the development and change trend of things or events; for a digital intelligence which does not exist in the real world, the main function is to evaluate entity structures or behavior strategies which are pre-put into use in the future through virtual practice and check whether the scheme is optimal. The digital virtual body is the main body of the digital virtual world for implementing virtual practice, is twin to a specific digital intelligent factor and can be put into use or implemented in the digital virtual world first. The construction technology of the digital virtual body is closely related to the industry, the digital virtual body is constructed in the initial design process of the manufacturing industry, the building industry and other industries, the management industry generates the digital virtual body of the organization in the management optimization and process management, and biological scientists construct the digital virtual body of the organism in the life research. And the digital virtual bodies of multiple industries, multiple fields and multiple classes can enter a digital virtual world according to standard specifications to jointly participate in virtual practice.
(3) The mathematical intelligence field is a fixed component generated artificially and/or non-artificially in the virtual world, for example, the digital representation of the environment in the virtual world, such as the earth living in human being as the basic reference, the landform, the geographic information, the land utilization, the air pressure, the temperature, the electromagnetic field, the visibility, the atmospheric condition and the like, is called the mathematical intelligence field. When the intelligent field is put into use, the intelligent field is constructed by the technologies of parallel computation, digital space-time modeling, physical field numerical modeling, intelligent ecological environment control, intelligent simulation and the like, so that the intelligent field with the maximum similarity to the real natural environment is constructed to the maximum extent.
(4) And the virtual practice unit is used for constructing a practice field based on the task purpose and the scene unit so as to carry out virtual practice, and screening out an optimal scheme based on the virtual practice effect of each decision scheme.
Specifically, the practice object of the virtual practice unit is a mathematic intelligence in the constructed practice field, and under each decision scheme, the planned mathematic intelligence is guided to execute a corresponding virtual task based on the planned practice process. The digital avatar includes several minds as a monitoring unit, several minds as an execution unit, and several minds as a sensing unit.
The virtual practice of the scheme has strong macroscopic property and can have fine-grained microcosmic property. The practical object can be advanced or synchronous with the real world, and the practical conclusion can be fed back to the real world in time or can be used as virtual experience to form a knowledge base to be recorded on a case.
Specifically, as shown in fig. 3, a configurable virtual environment, namely a practice site, is provided, the practice site is deployed as needed, the practice site is adjusted by a practice regulator according to a practice process, the practice process is globally planned according to the intention of virtual practice, and practice steps are intelligently arranged based on practice effects. In addition, the virtual practice unit also provides: the scene annotator is used for tagging the virtual practice scene so that the process can be traced, analyzed and reused; the environment constructor is used for dynamically generating a virtual geographic environment, a virtual facility, a virtual physical field and a virtual social environment according to the requirements of the practice regulator, generating a virtual environment through the polymorphic iterator, acting on the practice field and generating an environment driving force for a virtual practice process; the event generator is used for generating various possible events according to the requirements of the practice regulator and acting on a practice field to provide uncertain factors and drive multi-path exploration for virtual practice; the action driver is used for controlling the action of the corresponding mathematic agent according to the intention effect and the task requirement, and intelligently taking autonomous, controlled or group cooperative action under the inherent constraint of the mathematic agent; and (3) scale regulation, namely determining the scale and granularity of the practical object according to practical requirements, and performing scale decomposition on the practical object at a specific moment or space to enable the practical object to participate in practice in a mode of finer granularity. And elements such as environments, events, wisdom and the like participating in practice are injected into a practice field according to virtual time regulation and control requirements, and various practice ways are explored under the action of variable environmental factors together to acquire various experiment effects and obtain various virtual experiences.
And the process recorder and the comprehensive evaluation device are used for recording each practical process and evaluating each practical effect so as to screen out an optimal scheme. And putting the formed experience into a virtual memory unit to form virtual memory and construct virtual knowledge. The math intelligence cultivating unit performs intelligent learning based on the obtained virtual experience.
In addition, the virtual practice unit continuously monitors the change of the real world in the process of virtual practice, quickly twins related dynamic objects into the virtual world, and adds virtual practice to achieve the best practice effect.
(5) The digital intelligence umbilical cord is used for being connected with the Internet of things of the real world to send physical data into the virtual world, for example, sensing data of various sensors are sent into the virtual world, and the scheme screened out by the virtual world is transmitted to the Internet of things of the real world. If the scheme is transmitted to the controller of the Internet of things, the controller controls the corresponding execution unit to act in the real world so as to reproduce the optimal virtual practice process.
The digital intelligent umbilical cord adopts a standard polymorphic 'link', so that a virtual world and a real world develop in a coordinated way, a physical entity and a digital virtual body are controlled in a coordinated way, particularly, social practice activities are optimized through previous virtual practice, and high-cost real failures are converted into low-cost repairable virtual failures.
The earliest concept model of digital twins introduced the concept of "mirror space model" in the 10-month-2002 course by the doctor Michael Grieves in usa and emphasized that digital representations of physical products should be able to test the products themselves under real or simulated conditions. In recent years, the rise of digitalized and intelligent waves accompanying the manufacture industry has become a hot technical topic, and has a very rich and wide development space.
The scheme creates a concept of digital twinning on the basis of digital twinning, and under the digital twinning, the main contradiction of real physical entities is caught by combining the concept of virtual practice, a new way is developed, and only the physical entities and the models which have substantial help to real decisions are restored, so that the migration, the deployment and the implementation of the fast practice from the virtual to the real decisions are achieved. And the twin of the intelligence focuses on calculating an optimal practice scheme by using an intelligent algorithm, intelligently and quickly adjusting the virtual practice scheme according to the change of the real environment mapped into the virtual world, and simultaneously synchronizing the screened optimal scheme or strategy to the real world so as to achieve the aim of better serving human beings.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although the terms scenario unit, virtual practice unit, virtual-real linkage unit, decision unit, digital-intelligent agent, digital-virtual body, digital-intelligent field, practice regulator scenario annotator, environment constructor, action driver, scale control, process recorder, comprehensive evaluator, virtual memory unit, digital-intelligent umbilical cord table, etc. are used more herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (10)
1. A digital intelligent twin system realized based on intelligent and virtual technologies is characterized by comprising a scene unit, a virtual practice unit, a virtual-real connection unit and a decision unit, wherein the scene unit, the virtual practice unit, the virtual-real connection unit and the decision unit are connected in sequence, and the decision unit is used for determining the virtual reality connection unit
The system comprises a scene unit, a digital intelligence factor, a digital virtual body and a digital intelligence field, wherein the digital intelligence factor comprises a pre-stored physical rule and a pre-stored rule, and the digital virtual body is a component of various non-fixed digital intelligence bodies artificially generated in a virtual world; the mathematical intelligence field is a fixed component generated artificially and/or non-artificially in the virtual world;
the decision unit is used for giving a plurality of decision schemes according to the task purpose;
the virtual practice unit is used for constructing a practice field based on the task purpose and the scene unit so as to carry out virtual practice, and screening out an optimal scheme based on the virtual practice effect of each decision scheme;
and the virtual-real connecting unit is used for connecting the virtual world and the real world.
2. The intelligent and virtual technology-based mathematical twinning system as claimed in claim 1, wherein the mathematical intelligence model factors include structural model, dynamic model, thermal effect model, electromagnetic model and optical model, and the behavioral model includes cognitive model, decision model, control model, organization model and behavioral model.
3. The system of the math twin system based on intelligent and virtual technology implementation of claim 1 or 2, wherein the virtual practice unit is further used for determining the environment, event and math intelligence participating in the practice according to task purpose, capturing corresponding requirements from the scene unit and injecting the requirements into the practice field;
the virtual practice unit comprises a practice regulator used for globally planning the practice process according to the decision-making scheme.
4. The intelligence twin system implemented based on intelligence and virtual technology as claimed in claim 3, wherein the practice objects of the virtual practice unit are intelligence entities in the constructed practice field, and the planned intelligence entities are guided to execute corresponding virtual tasks based on the planned practice process under each decision scheme.
5. The intelligent and virtual technology based mind twin system as claimed in claim 4, wherein the digital virtual entity comprises several intelligence entities as monitoring units, several intelligence entities as execution units and several intelligence entities as sensing units.
6. The intelligent twinning system based on intelligent and virtual technology implementation of claim 4, wherein the virtual practice unit further comprises,
the scene annotator is used for tagging the virtual practice scene so that the process can be traced, analyzed and reused;
the environment constructor is used for dynamically generating a virtual geographic environment, a virtual facility, a virtual physical field and a virtual social environment according to the requirements of the practice regulator, generating a virtual environment through the multi-state iterator, acting on the practice field and generating an environment driving force for a virtual practice process;
the event generator is used for generating various possible events according to the requirements of the practice regulator and acting on a practice field to provide uncertain factors and drive multi-path exploration for virtual practice;
the action driver is used for controlling the action of the corresponding mathematic agent according to the intention effect and the task requirement, and intelligently taking autonomous, controlled or group cooperative action under the inherent constraint of the mathematic agent;
the scale regulation and control, namely determining the scale and the granularity of a practical object according to practical requirements, and performing scale decomposition on the practical object at a specific moment or space to enable the practical object to participate in practice in a mode of finer granularity;
and the process recorder and the comprehensive evaluation device are used for recording each practical process and evaluating each practical effect so as to screen out an optimal scheme.
7. The intelligent twin system based on intelligent and virtual technology implementation of claim 6, wherein the intelligent field comprises terrain, topography, air pressure, temperature, electromagnetic field, visibility, atmospheric conditions, and geographic information.
8. The twin system of math intelligence based on intelligent and virtual technologies as defined in claim 6, further comprising a virtual memory unit, wherein the virtual memory unit obtains virtual experience based on virtual practice data, forms virtual memory, and constructs virtual knowledge.
9. The intelligent and virtual technology based mind twinning system as claimed in claim 8, wherein said decision unit comprises a mind training unit for intelligent learning based on virtual experience.
10. The intelligent and virtual technology based mind twinning system as claimed in claim 9, wherein the virtual-real connection unit comprises an intelligence umbilical cord for connecting the internet of things of the real world to send physical data into the virtual world, and for transmitting the screened-out solution of the virtual world to the internet of things of the real world.
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| CN116127783A (en) * | 2023-03-24 | 2023-05-16 | 摩尔线程智能科技(北京)有限责任公司 | Virtual world generation system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116127783A (en) * | 2023-03-24 | 2023-05-16 | 摩尔线程智能科技(北京)有限责任公司 | Virtual world generation system |
| CN116127783B (en) * | 2023-03-24 | 2024-01-23 | 摩尔线程智能科技(北京)有限责任公司 | Virtual world generation system |
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