CN116305814A - Digital method, platform and system for Internet of things scene - Google Patents
Digital method, platform and system for Internet of things scene Download PDFInfo
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Abstract
The application discloses a digital method, a platform and a system for an Internet of things scene, wherein the method comprises the following steps: generating a digital twin of a target physical scene, wherein the digital twin is a digitized representation of the target physical scene; mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin; and constructing a data view on the target digital twin body through a visual modeling language for a user to manage the target physical scene. According to the method and the device for managing the cloud products, the technical problem that in the related art, when digital management is conducted on complex physical scenes, management modes caused by the fact that a plurality of cloud products need to be connected in a butt joint mode are complex is solved, and the technical effect of improving digital management efficiency is achieved.
Description
Technical Field
The application relates to the field of Internet of things, in particular to a digital method, a platform and a system for an Internet of things scene.
Background
The internet of things platform can provide safe and reliable connection communication capability and management capability for equipment, support equipment data acquisition and cloud loading, and enable a rule engine to transfer data and cloud data to send equipment ends, but a scene of an actual physical world relates to operation and linkage of a plurality of pieces of equipment, and is usually complex, and how to digitize and manage the complex physical scenes is a main problem.
Disclosure of Invention
The embodiment of the application provides a digital method, a platform and a system for an Internet of things scene, which at least solve the technical problem that in the prior art, when digital management is performed on a complex physical scene, a management mode is complex due to the fact that a plurality of cloud products are needed to be connected.
According to one aspect of the present application, there is provided a method for digitizing an internet of things scenario, including: generating a digital twin of a target physical scene, wherein the digital twin is a digitized representation of the target physical scene; mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin; and constructing a data view on the target digital twin body through a visual modeling language so as to enable a user to manage the target physical scene.
Optionally, generating the digital twins of the target physical scene includes: generating a topological structure corresponding to the target physical scene, wherein the topological structure is described through twin nodes and topological relations among the twin nodes; and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene.
Optionally, the linkage rule is determined by a specified operator built into the twin node.
Optionally, mapping, by a data pipeline, the data of the internet of things device in the target physical scene to a target attribute of a target twin node of the digital twin, and obtaining the target digital twin includes: converting the data of the Internet of things equipment in the target physical scene into target data through a script engine, wherein the target data is matched with the target twin node; and mapping the target data to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
Optionally, mapping, by a data pipeline, the data of the internet of things device in the target physical scene to a target attribute of a target twin node of the digital twin, and obtaining the target digital twin includes: acquiring an object model of the Internet of things equipment data in the target physical scene; and mapping the object model to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
Optionally, the data view includes a 3D model, a status panel, an alert notification.
According to an aspect of the present application, there is also provided a digital platform for an internet of things scenario, including: the generation module is used for generating a digital twin body of the target physical scene, wherein the digital twin body is a digital representation of the target physical scene; the mapping module is used for mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain the target digital twin; and the construction module is used for constructing a data view on the target digital twin body through a visual modeling language so as to enable a user to manage the target physical scene.
Optionally, the generating module is further configured to generate a topology structure corresponding to the target physical scene, where the topology structure is described by a twinning node and a topological relation between twinning nodes; and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene.
Optionally, the linkage rule is determined by a specified operator built into the twin node.
Optionally, the platform is further configured to convert, by using a script engine, the data of the internet of things device in the target physical scene into target data, where the target data is matched with the target twin node; and mapping the target data to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
Optionally, the platform is further configured to obtain an object model of the internet of things device data in the target physical scene; and mapping the object model to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
Optionally, the data view includes a 3D model, a status panel, an alert notification.
According to an aspect of the present application, there is also provided a method for digitizing a scene oriented to the internet of things, including: collecting the data of the Internet of things equipment in a target physical scene; mapping the data of the Internet of things equipment to a target attribute of a target twin node of a digital twin of the target physical scene through a data pipeline to obtain the target digital twin, wherein the digital twin is a digital representation of the target physical scene; a data view is constructed on the target digital twin through a visual modeling language.
According to still another aspect of the present application, there is further provided a digitizing system for an internet of things scenario, including: the system comprises a data acquisition module, a modeling module and a data view construction module, wherein the data acquisition module is connected with the modeling module through a data pipeline, the modeling module is connected with the data view construction module through a visual modeling language, the data acquisition module is used for acquiring data of equipment of the Internet of things in a target physical scene, the modeling module is used for generating a digital twin body of the target physical scene, the digital twin body is a digital representation of the target physical scene, and the data view construction module is used for mapping the data of the equipment of the Internet of things in the target physical scene to target attributes of target twin nodes of the digital twin body through the data pipeline, so that a data view is constructed on the target digital twin body through the visual modeling language after the target digital twin body is obtained.
According to another aspect of the present application, there is also provided an electronic device including a memory and a processor; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to perform the method steps described above.
According to another aspect of the present application, there is also provided a readable storage medium having stored thereon computer instructions which when executed by a processor perform the above-mentioned method steps.
In the embodiment of the application, a digital twin body of a target physical scene is generated, wherein the digital twin body is a digital representation of the target physical scene; mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin; and constructing a data view on the target digital twin body through a visual modeling language for a user to manage the target physical scene. That is, the embodiment of the application provides an integrated digitizing method, in which the data of the internet of things device is mapped onto the target attribute of the target twin node of the digital twin through the data pipeline, and the data of the digital twin is mapped onto the data view through the visual modeling language, so that the user can intuitively and efficiently digitally manage according to the data view, without the need of the user to butt-joint a plurality of cloud products, further the technical problem that in the related art, a management mode is complex due to the need of butt-joint a plurality of cloud products when the digital management is performed on a complex physical scene is solved, and the technical effect of improving the digital management efficiency is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the application and are not to be construed as limiting the application. In the drawings:
fig. 1 is a flowchart of a digitizing method for an internet of things scenario according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for digitizing an Internet of things-oriented scenario according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a method for digitizing an Internet of things-oriented scenario according to an embodiment of the present application;
fig. 4 is a schematic diagram of a digital platform structure facing to an internet of things scenario according to an embodiment of the present application;
fig. 5 is a schematic diagram of another architecture of a digital system facing an internet of things scenario according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, when used in the description and claims of this application are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus. In addition, it should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.
According to embodiments of the present application, there is provided an embodiment of a method for digitizing an internet of things scenario, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different from that herein.
The current internet of things platform mainly provides modeling capability, namely an object model, for simple single equipment. The method is characterized in that the object model is a digital representation of an entity (such as a sensor, a vehicle-mounted device, a building, a factory and the like) in a physical space at a cloud, three dimensions of attributes, services and events are respectively described, what the entity can do, what information can be provided externally, the three dimensions of the object model are defined, namely, definition of product functions is completed, but how digital management is realized aiming at complex multi-equipment scenes is obviously, the mode of the object model is not very applicable, aiming at the inapplicable problem, at present, the method mainly comprises two modes, namely, a mode one and a user create a digital twinning instance, a digital twinning definition language (digital twinsdefinitionlanguage) is used for describing the twinning model according to a service scene, a state attribute, a telemetry event, a command, a component and a relation, the twinning scene graph is defined and uploaded according to the twinning model, and through editing and modifying, incoming internet of things center data is processed through a standard function, and digital twinning is correspondingly updated, data is circulated to a data lake or a time sequence for analysis, and the whole internet of things is displayed and analyzed, but the whole cloud is required to be connected with a cloud platform, and a cloud platform is connected to a whole cloud platform; creating a working space in a second mode; constructing a map, creating an entity, creating a component, and adding the component for the entity; creating a scene, uploading a 3D component in the scene, adding metadata information, and integrating materials through a provided editor; adding tags/components (tags/widgets) to a scene, then configuring the components in a knowledge graph for the tags/components (tags/widgets) as data sources, and configuring corresponding rules, namely what view different data show, in the same way, the two modes have the problem of a mode one, and the whole solution is not an integrated process, so that a client is required to butt-joint a plurality of cloud products, such as an object access (IoTHub) of a full-support cloud service for a developer in the field of the Internet of things, a digital twin digital Twin and an event network EventGrid, based on the fact, therefore, the embodiment of the application proposes a digitizing method for the scene of the Internet of things, which is shown in fig. 1, wherein the method comprises the following steps:
S102, generating a digital twin body of a target physical scene, wherein the digital twin body is a digital representation of the target physical scene;
the digital twin may be a directed acyclic graph in which monomer models are formed according to a certain relationship. The service models of equipment, processes, systems, scenes and the like can be described by constructing the twin body, and real-time acquisition, operation analysis, statistics and the like are carried out on physical world entity information, so that the dynamic change of the service model can be mastered more accurately, and the purposes of improving efficiency and reducing cost in the actual production process are further achieved. For example, a digital twin body can be created for a plant, each device in the plant serves as a twin node, the object model of the twin node is used for mapping the operation dynamics of the plant device, and the device is subjected to fault pre-judgment and timely repair through device operation data. Of course, a digital twin body can be created for the photovoltaic power station, wherein the photovoltaic power station can comprise a power station weather instrument, an A plant area power station, a B plant area power station, a plant area energy storage system, a residual electricity well pattern system, an electronic self-use system and the like.
S104, mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin;
It should be noted that, the data pipeline may map original data of the internet of things device to the target twin node of the digital twin according to the mapping configuration information. In addition, in this embodiment, the mapping of data is accurate to attributes, rather than simply directly corresponding to a single object model through one script transformation. The index data of one device can be mapped to a plurality of attributes of one twin node, and can also be mapped to different attributes of different twin nodes. For example, the index of the device a includes temperature data and humidity data, then the temperature data may be mapped to the attribute 1 of the twin node 1, the humidity data may be mapped to the attribute 1 of the twin node 2, and the temperature data may be mapped to the attribute 1 of the twin node 1, and the humidity data may be mapped to the attribute 2 of the twin node 1. For another example, the index of the device B includes voltage and current, then the voltage data may be mapped to the attribute 1 of the twin node 1, the current data may be mapped to the attribute 1 of the twin node 2, and the voltage data may be mapped to the attribute 1 of the twin node 1, and the current data may be mapped to the attribute 2 of the twin node 1. That is, in the present embodiment, one-to-many adjustment is made. The attributes of the twin nodes described above multiplex the definition of object model attributes, i.e. attributes describe what the physical entity does.
S106, constructing a data view on the target digital twin body through a visual modeling language so as to enable a user to manage the target physical scene.
It should be noted that the visual modeling language may include json's jsonschema for 3D visual modeling. The jsonschema is a description specification, and can be used for defining the visual effect of the 3D model and the interaction mode of the back-end data, and the visual effect defined by the specification can be directly used on a platform (linked to the back-end data) by a user. The data view may include a 3D model, a status panel, an alarm notification, etc., and may be configured in a customized manner according to a service scenario. For example, taking the digital twin corresponding to the photovoltaic power station as an example, the data view may show that the voltage of the B-site power station exceeds a threshold value, for example 1000v, and then an alarm may be sent out for the user to process the voltage of the B-site power station after receiving the alarm. For another example, the data view may show that the current day generating capacity curve of the B-plant power station has a significant difference from the standard curve, and then an alarm may be sent out to allow the user to process the abnormal generating capacity of the B-plant power station after receiving the alarm.
Generating a digital twin body of the target physical scene through the S102-S106, wherein the digital twin body is a digital representation of the target physical scene; mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin; and constructing a data view on the target digital twin body through a visual modeling language for a user to manage the target physical scene. That is, the embodiment of the application provides an integrated digital management method, in which the data of the internet of things device is mapped onto the target attribute of the target twin node of the digital twin through the data pipeline, and the data of the digital twin is mapped onto the data view through the visual modeling language, so that the user can intuitively and efficiently perform digital management according to the data view, and the user does not need to butt a plurality of cloud products, further the technical problem that in the related art, a management mode is complex due to the fact that the user needs to butt a plurality of cloud products when performing digital management on a complex physical scene is solved, and the technical effect of improving the digital management efficiency is achieved.
Just as the monomer object model mentioned above is not applicable to complex internet of things scenarios, the present embodiments also define a digital twin determined by: generating a topological structure corresponding to the target physical scene, wherein the topological structure is described through twin nodes and topological relations among the twin nodes; and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene. That is, the digital twin is described by the twin nodes and the relationships in the present embodiment, and the twin nodes are described by the linkage rules (description and linkage relationships of upstream and downstream twin nodes), and the attributes. In addition, in the present embodiment, the digital twin node may be implemented by a standard modeling language.
Because the scheme of the first mode is that the rule linkage is all through the custom script, the development cost is relatively high, and based on the scheme, the embodiment of the application also provides that the linkage rule is determined through the appointed operator built in the twin node, wherein the appointed operator can comprise a trigonometric function, a character string processing function and the like, namely, a user does not need to write the script with high complexity by himself, the development cost can be further reduced, and the efficiency of digital management is further improved.
In an optional implementation manner, the embodiment of the application further provides two optional modes of mapping the data of the internet of things device in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain the target digital twin. These two alternatives are described below. Firstly, converting the data of the Internet of things equipment in the target physical scene into target data through a script engine, wherein the target data is matched with the target twin node; and mapping the target data to the target attribute of the target twin node of the digital twin to obtain the target digital twin. The method comprises the steps of converting Internet of things equipment data in a target physical scene into standard data matched with a twin node and conforming to an object model protocol specification through a script engine, and then mapping the data to target attributes of the target twin node. Obtaining an object model of the data of the Internet of things equipment in the target physical scene; mapping the object model to the target attribute of the target twin node of the digital twin to obtain the target digital twin. The modeling report is carried out on the equipment data according to the digital twin body, and the equipment data is directly written into the digital twin body, so that compared with the prior art, the method for completely fracturing equipment and a model is more flexible, namely the equipment and the digital twin body can be decoupled, the equipment using the object model can be seamlessly connected to the digital twin body, and the modeling of single equipment and the modeling of complex equipment are unified. According to the mode I and the mode II, the Internet of things equipment and the digital twin body can be decoupled, equipment using an object model can be seamlessly connected to the digital twin body, and modeling of single equipment and modeling of complex equipment are unified.
The embodiment of the invention also provides another method for digitizing scenes oriented to the Internet of things, which comprises the following steps as shown in fig. 2:
s202, acquiring the data of the Internet of things equipment in a target physical scene;
s204, mapping the data of the Internet of things equipment to a target attribute of a target twin node of a digital twin of the target physical scene through a data pipeline to obtain the target digital twin, wherein the digital twin is a digital representation of the target physical scene;
the digital twin may be a directed acyclic graph in which monomer models are formed according to a certain relationship. The service models of equipment, processes, systems, scenes and the like can be described by constructing the twin body, and real-time acquisition, operation analysis, statistics and the like are carried out on physical world entity information, so that the dynamic change of the service model can be mastered more accurately, and the purposes of improving efficiency and reducing cost in the actual production process are further achieved. For example, a digital twin body can be created for a plant, each device in the plant serves as a twin node, the object model of the twin node is used for mapping the operation dynamics of the plant device, and the device is subjected to fault pre-judgment and timely repair through device operation data. Of course, a digital twin body can be created for the photovoltaic power station, wherein the photovoltaic power station can comprise a power station weather instrument, an A plant area power station, a B plant area power station, a plant area energy storage system, a residual electricity well pattern system, an electronic self-use system and the like.
According to the mapping configuration information, the data pipeline can map original data of the Internet of things equipment to the target twin nodes of the digital twin. In addition, in this embodiment, the mapping of data is accurate to attributes, rather than simply directly corresponding to a single object model through one script transformation. The index data of one device can be mapped to a plurality of attributes of one twin node, and can also be mapped to different attributes of different twin nodes. For example, the index of the device a includes temperature data and humidity data, then the temperature data may be mapped to the attribute 1 of the twin node 1, the humidity data may be mapped to the attribute 1 of the twin node 2, and the temperature data may be mapped to the attribute 1 of the twin node 1, and the humidity data may be mapped to the attribute 2 of the twin node 1. For another example, the index of the device B includes voltage and current, then the voltage data may be mapped to the attribute 1 of the twin node 1, the current data may be mapped to the attribute 1 of the twin node 2, and the voltage data may be mapped to the attribute 1 of the twin node 1, and the current data may be mapped to the attribute 2 of the twin node 1. That is, in the present embodiment, one-to-many adjustment is made. The attributes of the twin nodes described above multiplex the definition of object model attributes, i.e. attributes describe what the physical entity does.
S206, constructing a data view on the target digital twin body through a visual modeling language.
It should be noted that the visual modeling language may include json's jsonschema for 3D visual modeling. The jsonschema is a description specification, and can be used for defining the visual effect of the 3D model and the interaction mode of the back-end data, and the visual effect defined by the specification can be directly used on a platform (linked to the back-end data) by a user. The data view may include a 3D model, a status panel, an alarm notification, etc., and may be configured in a customized manner according to a service scenario. For example, taking the digital twin corresponding to the photovoltaic power station as an example, the data view may show that the voltage of the B-site power station exceeds a threshold value, for example 1000v, and then an alarm may be sent out for the user to process the voltage of the B-site power station after receiving the alarm. For another example, the data view may show that the current day generating capacity curve of the B-plant power station has a significant difference from the standard curve, and then an alarm may be sent out to allow the user to process the abnormal generating capacity of the B-plant power station after receiving the alarm.
Through the steps 202-206, an integrated digitizing method is further provided, the data of the Internet of things device are mapped onto the target attribute of the target twin node of the digital twin through the data pipeline, the data of the digital twin are mapped onto the data view through the visual modeling language, and finally, the user can intuitively and efficiently digitally manage according to the data view without the need of the user to butt a plurality of cloud products, so that the technical problem that in the related art, a management mode is complex due to the need of butt joint of a plurality of cloud products when the digital management is performed on a complex physical scene is solved, and the technical effect of improving the digital management efficiency is achieved.
Embodiments of the present application are described by way of example with reference to specific examples. In this example, the method flow is divided into three parts, namely a device domain, a model domain and a service domain, wherein the device domain refers to a working range before connecting the internet of things device to the cloud, the model domain refers to a responsibility range for modeling a scene where the internet of things device works at the cloud, and the service domain refers to a working range for processing/visualizing service data of interest on a user service side. The device domain and the model domain are connected through a data pipeline, and the model domain and the service domain are connected through a visualization schema, as shown in fig. 3, and specifically include:
S31, a device developer creates products and devices, and accesses a device software development kit (softwaredevelopment kit, SDK) to complete cloud uploading and data reporting of the devices, wherein a device identity model comprises a product Key (product identifier), a prudutSecret (product key), a deviceName (device name identifier), and the product Key and the deviceName uniquely identify one device, namely a plurality of devices can exist under one product, and the product Key and the deviceSecret are commonly called productKey, deviceName and deviceSecret as triple information of the devices.
S32, constructing a digital twin body in a model domain by an independent software developer (ISV) and constructing a digital twin body topological structure, configuration of linkage rules among twin nodes, attribute definition of the nodes and the like, wherein the definition of the model domain is completed by a standard object description language (TSL);
s33, the ISV configures a data pipeline to map the data of the equipment domain to the model domain, the source of the equipment pipeline is the original data of the equipment domain, the target is the node of the model domain, the function of the data pipeline finishes the conversion of the original equipment domain data through a script engine, and then the mapping configuration is used for mapping the converted data to the model domain. If the data of the device domain is already reported according to a standard TSL object model, the device domain and the model domain can realize smooth butt joint;
S34, a user builds a data view on standard data of the digital twin body through the provided visual schema, wherein the data view comprises 3D file description, configuration of a state panel, alarm notification and the like, and the purpose of operation and management is achieved.
The above example provides an integral multi-device modeling scheme for the internet of things, which divides a scene into three parts of a device domain, a model domain and a service domain, and the modules are mutually decoupled and can be connected in series two by two through a data pipeline and a visual schema. The modeling of the device domain and the model domain unifies single device modeling and multi-device scenes by using TSL, so that the modeled single device can be smoothly connected to a multi-device modeling scheme, and simultaneously, script flows are provided for non-modeled devices to perform mapping conversion. And finally, the data of the model domain is converted into a service visual scene through a visual schema, so that the problems of use and operation and maintenance of a final user are solved.
The embodiment of the invention also provides a digital platform oriented to the scene of the internet of things, as shown in fig. 4, comprising:
a generation module 42, configured to generate a digital twin of a target physical scene, where the digital twin is a digitized representation of the target physical scene;
The digital twin may be a directed acyclic graph in which monomer models are formed according to a certain relationship. The service models of equipment, processes, systems, scenes and the like can be described by constructing the twin body, and real-time acquisition, operation analysis, statistics and the like are carried out on physical world entity information, so that the dynamic change of the service model can be mastered more accurately, and the purposes of improving efficiency and reducing cost in the actual production process are further achieved. For example, a digital twin body can be created for a plant, each device in the plant serves as a twin node, the object model of the twin node is used for mapping the operation dynamics of the plant device, and the device is subjected to fault pre-judgment and timely repair through device operation data. Of course, a digital twin body can be created for the photovoltaic power station, wherein the photovoltaic power station can comprise a power station weather instrument, an A plant area power station, a B plant area power station, a plant area energy storage system, a residual electricity well pattern system, an electronic self-use system and the like.
The mapping module 44 is configured to map, through a data pipeline, data of the internet of things device in the target physical scene to a target attribute of a target twin node of the digital twin, to obtain a target digital twin;
It should be noted that, the data pipeline can map original data of the internet of things device to the target twin node of the digital twin according to the mapping configuration information, and a user does not need to write a script with high complexity by himself. In addition, in this embodiment, the mapping of data is accurate to attributes, rather than simply directly corresponding to a single object model through one script transformation. The index data of one device can be mapped to a plurality of attributes of one twin node, and can also be mapped to different attributes of different twin nodes. For example, the index of the device a includes temperature data and humidity data, then the temperature data may be mapped to the attribute 1 of the twin node 1, the humidity data may be mapped to the attribute 1 of the twin node 2, and the temperature data may be mapped to the attribute 1 of the twin node 1, and the humidity data may be mapped to the attribute 2 of the twin node 1. For another example, the index of the device B includes voltage and current, then the voltage data may be mapped to the attribute 1 of the twin node 1, the current data may be mapped to the attribute 1 of the twin node 2, and the voltage data may be mapped to the attribute 1 of the twin node 1, and the current data may be mapped to the attribute 2 of the twin node 1. That is, in the present embodiment, one-to-many adjustment is made. The attributes of the twin nodes described above multiplex the definition of object model attributes, i.e. attributes describe what the physical entity does.
A construction module 46 is configured to construct a data view on the target digital twin body through a visual modeling language for a user to manage the target physical scene.
It should be noted that the visual modeling language may include json's jsonschema for 3D visual modeling. The jsonschema is a description specification, and can be used for defining the visual effect of the 3D model and the interaction mode of the back-end data, and the visual effect defined by the specification can be directly used on a platform (linked to the back-end data) by a user. The data view may include a 3D model, a status panel, an alarm notification, etc., and may be configured in a customized manner according to a service scenario. For example, taking the digital twin corresponding to the photovoltaic power station as an example, the data view may show that the voltage of the B-site power station exceeds a threshold value, for example 1000v, and then an alarm may be sent out for the user to process the voltage of the B-site power station after receiving the alarm. For another example, the data view may show that the current day generating capacity curve of the B-plant power station has a significant difference from the standard curve, and then an alarm may be sent out to allow the user to process the abnormal generating capacity of the B-plant power station after receiving the alarm.
Generating a digital twin body of the target physical scene through the platform, wherein the digital twin body is a digital representation of the target physical scene; mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin; and constructing a data view on the target digital twin body through a visual modeling language for a user to manage the target scene. That is, the embodiment of the application provides an integrated digital management method, in which the data of the internet of things device is mapped onto the target attribute of the target twin node of the digital twin through the data pipeline, and the data of the digital twin is mapped onto the data view through the visual modeling language, so that the user can intuitively and efficiently perform digital management according to the data view, and the user does not need to butt a plurality of cloud products, further the technical problem that in the related art, a management mode is complex due to the fact that the user needs to butt a plurality of cloud products when performing digital management on a complex physical scene is solved, and the technical effect of improving the digital management efficiency is achieved.
Just as the monomer object model mentioned above is not applicable to complex internet of things scenarios, the present embodiments also define a digital twin determined by: generating a topological structure corresponding to the target physical scene, wherein the topological structure is described through twin nodes and topological relations among the twin nodes; and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene. That is, the digital twin is described by the twin nodes and the relationships in the present embodiment, and the twin nodes are described by the linkage rules (description and linkage relationships of upstream and downstream twin nodes), and the attributes. In addition, in the present embodiment, the digital twin node may be implemented by a standard modeling language.
Because the rule linkage in the prior art is all through the custom script, the development cost is relatively high, based on this, the embodiment of the application also provides that the linkage rule is determined through the appointed operator built in the twin node, wherein the appointed operator can comprise a trigonometric function, a character string processing function and the like, namely, a user does not need to write the script with high complexity by himself, the development cost can be further reduced, and the efficiency of digital management is further improved.
In an optional implementation manner, the embodiment of the application further provides two optional modes of mapping the data of the internet of things device in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain the target digital twin. These two alternatives are described below. Firstly, converting the data of the Internet of things equipment in the target physical scene into target data through a script engine, wherein the target data is matched with the target twin node; and mapping the target data to the target attribute of the target twin node of the digital twin to obtain the target digital twin. The method comprises the steps of converting Internet of things equipment data in a target physical scene into standard data matched with a twin node and conforming to an object model protocol specification through a script engine, and then mapping the data to target attributes of the target twin node. Obtaining an object model of the data of the Internet of things equipment in the target physical scene; mapping the object model to the target attribute of the target twin node of the digital twin to obtain the target digital twin. The modeling report is carried out on the equipment data according to the digital twin body, and the equipment data is directly written into the digital twin body, so that compared with the prior art, the method for completely fracturing equipment and a model is more flexible, namely the equipment and the digital twin body can be decoupled, the equipment using the object model can be seamlessly connected to the digital twin body, and the modeling of single equipment and the modeling of complex equipment are unified. According to the mode I and the mode II, the Internet of things equipment and the digital twin body can be decoupled, equipment using an object model can be seamlessly connected to the digital twin body, and modeling of single equipment and modeling of complex equipment are unified.
The embodiment of the application also provides a digitizing system facing the scene of the internet of things as shown in fig. 5, which comprises:
a data acquisition module 52, a modeling module 54, a data view construction module 56, the data acquisition module 52 being connected to the modeling module 54 by a data pipeline, the modeling module 54 being connected to the data view construction module 56 by a visual modeling language,
the data acquisition module 52 is configured to acquire data of an internet of things device in a target physical scene, the modeling module 54 is configured to generate a digital twin of the target physical scene, the digital twin is a digitized representation of the target physical scene, and the data view construction module 56 is configured to map the data of the internet of things device in the target physical scene to a target attribute of a target twin node of the digital twin through a data pipeline to obtain the target digital twin, and then construct a data view on the target digital twin through a visual modeling language.
Through the system, the integrated digital system is further provided, the data of the Internet of things equipment are mapped onto the target attribute of the target twin node of the digital twin through the data pipeline, the data of the digital twin are mapped onto the data view through the visual modeling language, and finally, a user can intuitively and efficiently carry out digital management according to the data view without the need of butting a plurality of cloud products by the user, so that the technical problem that in the related art, a management mode is complex due to the need of butting a plurality of cloud products when the digital management is carried out on a complex physical scene is solved, and the technical effect of improving the digital management efficiency is achieved.
The embodiment of the invention also provides electronic equipment, which comprises: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the steps of any of the methods described above.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions which, when executed by a processor, implement the steps of any of the methods.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only memory (ROM), a random access memory (RAM, random AccessMemory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (12)
1. A digitizing method for an Internet of things scene comprises the following steps:
generating a digital twin of a target physical scene, wherein the digital twin is a digitized representation of the target physical scene;
mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain a target digital twin;
and constructing a data view on the target digital twin body through a visual modeling language so as to enable a user to manage the target physical scene.
2. The method of claim 1, wherein generating a digital twin of the target physical scene comprises:
generating a topological structure corresponding to the target physical scene, wherein the topological structure is described through twin nodes and topological relations among the twin nodes;
and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene.
3. The method of claim 2, wherein the linkage rule is determined by a specified operator built into the twinning node.
4. The method of claim 1, wherein mapping, through a data pipeline, the internet of things device data in the target physical scene onto a target attribute of a target twin node of the digital twin, the obtaining a target digital twin comprises:
converting the data of the Internet of things equipment in the target physical scene into target data through a script engine, wherein the target data is matched with the target twin node;
and mapping the target data to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
5. The method of claim 1, wherein mapping, through a data pipeline, the internet of things device data in the target physical scene onto a target attribute of a target twin node of the digital twin, the obtaining a target digital twin comprises:
acquiring an object model of the Internet of things equipment data in the target physical scene;
and mapping the object model to the target attribute of the target twin node of the digital twin to obtain the target digital twin.
6. The method of claim 1, wherein the data view comprises a 3D model, a status panel, an alert notification.
7. A digital platform for an internet of things scenario, comprising:
the generation module is used for generating a digital twin body of the target physical scene, wherein the digital twin body is a digital representation of the target physical scene;
the mapping module is used for mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin through a data pipeline to obtain the target digital twin;
and the construction module is used for constructing a data view on the target digital twin body through a visual modeling language so as to enable a user to manage the target physical scene.
8. The platform of claim 7, wherein the generating module is further configured to generate a topology structure corresponding to the target physical scene, wherein the topology structure is described by a twinning node and a topological relationship between twinning nodes; and configuring a linkage rule among all the twin nodes and attributes of all the twin nodes in the topological structure to obtain a digital twin body of the target physical scene.
9. A digitizing method for an Internet of things scene comprises the following steps:
collecting the data of the Internet of things equipment in a target physical scene;
mapping the data of the Internet of things equipment to a target attribute of a target twin node of a digital twin of the target physical scene through a data pipeline to obtain the target digital twin, wherein the digital twin is a digital representation of the target physical scene;
a data view is constructed on the target digital twin through a visual modeling language.
10. A digital system for an internet of things scenario, comprising:
the data acquisition module is connected with the modeling module through a data pipeline, the modeling module is connected with the data view construction module through a visual modeling language,
the data acquisition module is used for acquiring the data of the Internet of things equipment in the target physical scene, the modeling module is used for generating a digital twin body of the target physical scene, the digital twin body is a digital representation of the target physical scene, and the data view construction module is used for mapping the data of the Internet of things equipment in the target physical scene to the target attribute of the target twin node of the digital twin body through a data pipeline to obtain the target digital twin body and then constructing a data view on the target digital twin body through a visual modeling language.
11. An electronic device includes a memory and a processor; wherein the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of any of claims 1 to 6 or 9.
12. A readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the method steps of any of claims 1 to 6 or 9.
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