CN114067234A - Power grid digital twin body data embedding method and system - Google Patents
Power grid digital twin body data embedding method and system Download PDFInfo
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Abstract
The method can send perception information to corresponding digital twins according to the matching degree of scene semantic attributes of the digital twins and scene semantic attributes of perception equipment based on service requirements, so that the corresponding digital twins can embed perception data in the perception information into data sets corresponding to relevant service functions, flexible self-adaptive mapping between the perception information and the digital twins is achieved, automatic matching and access of various sensors (including newly-added sensors) or mobile perception equipment are guaranteed, the adaptability of the perception information and the digital twins is improved, the problem of insufficient virtual-real mapping interaction capacity caused by manual point alignment setting is solved, and the development of various electric power application services based on the digital twins of the power grid can be effectively promoted.
Description
Technical Field
The invention relates to the technical field of power grid digital twinning, in particular to a power grid digital twinning body data embedding method and system based on environment understanding.
Background
The digital twin uses information such as a physical model, sensor updating, operation history and the like to complete entity mapping of the power grid equipment in a virtual space, has the characteristics of full life cycle, real-time/quasi-real-time and two-way, can be widely applied to services such as power equipment and environment monitoring, power transmission and transformation operation and inspection, field safety monitoring and the like, and improves the production efficiency of all elements.
The digital twin construction is one of the important directions of the digital transformation of the power grid, the information interaction between specific sensors and specific data types required by specific service functions of the digital twin is realized by adopting a manual point-to-point setting mode in the current engineering application, and the problems that the virtual-real mapping interaction capacity of the physical-digital spatial information of the power grid is insufficient, the business application such as power grid production operation and safety supervision management and intelligent interaction are difficult to support and the like generally exist, and the digital twin construction method is mainly characterized in that:
at present, the type (online monitoring, inspection robots, intelligent helmets, video inspection, manual instrument inspection and the like) and mode (continuous online, periodicity, guardianship and the like) of sensing equipment supporting a digital twin of a power grid to realize full sensing are greatly different, particularly, sensing objects, sensing time and sensing positions of mobile inspection equipment are changed, uncertainty is high, and a large amount of interactive information between a sensor and a digital twin virtual body can not meet application requirements only by means of a point setting mode; the self-adaptive expansion capability of virtual-real interactive mapping is poor, and for example, mobile sensing information such as new sensor access and field manual operation is difficult to access the digital twin body quickly, so that the corresponding service development of the digital twin body cannot be supported.
Disclosure of Invention
Objects of the invention
The invention aims to provide a power grid digital twin body data embedding method and a power grid digital twin body data embedding system, which realize flexible self-adaptive mapping between sensing information and a digital twin body, ensure automatic matching and access of a sensor plug-and-play or mobile sensing device, improve the adaptability of the sensing information and the digital twin body, avoid the problem of insufficient virtual-real mapping interaction capacity caused by manual point-to-point setting, and effectively promote the development of various power application services based on power grid digital twin.
(II) technical scheme
To solve the above problem, a first aspect of the present invention provides a power grid digital twin data embedding method, including:
the method comprises the steps that perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin are obtained through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
and if so, sending the perception information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding service function name according to the service type semantics, and embedding the perception data into a data set corresponding to the determined service function name.
Specifically, the sensing scene semantic attributes further include a spatial semantic, a temporal semantic and a service object semantic, the digital twin scene semantic attributes include a spatial semantic, a temporal semantic and a corresponding entity name semantic, and the determining whether the sensing scene semantic attributes are matched with the digital twin scene semantic attributes includes:
and judging whether the space semantic in the perception scene semantic attribute is matched with the space semantic in the digital twin scene semantic attribute, whether the time semantic in the perception scene semantic attribute is matched with the time semantic in the digital twin scene semantic attribute, and whether the service object semantic in the perception scene semantic attribute is matched with the corresponding entity name semantic in the digital twin scene semantic attribute.
Specifically, the determining whether the spatial semantics in the perceptual scene semantic attribute matches the spatial semantics in the digital twin scene semantic attribute includes:
when the sensing equipment is equipment on-line monitoring equipment, and the spatial semantics in the semantic attributes of the sensing scene and the digital twin scene are completely consistent, judging that the sensing scene semantic attributes and the digital twin scene semantic attributes are matched;
and when the sensing equipment is environment online monitoring equipment or mobile inspection equipment, and the sensing scene semantic attribute is consistent with the area contained in the digital twin scene semantic attribute, judging that the sensing scene semantic attribute is matched with the area contained in the digital twin scene semantic attribute.
Specifically, the determining whether the temporal semantics in the perceptual scene semantic attributes match the temporal semantics in the digital twin scene semantic attributes includes:
judging that the temporal semantics in the perceptual scene semantic attributes match the temporal semantics in the digital twin scene semantic attributes when the following formula I is satisfied:
wherein, tsensorFor sensing the scene semantic attribute time, tDTFor the digital twin scene semantic attribute time, Tmk1Is a first predetermined value, Tmk2Is the second preset value.
Specifically, the service object semantics include device identifiers and/or environment identifiers, and determining whether the service object semantics in the perceptual scene semantic attributes are semantically matched with corresponding entity names in the digital twin scene semantic attributes includes:
and when the corresponding entity name semantics comprise the equipment identification and/or the environment identification in the perception scene semantic attribute, determining matching.
Further, the data embedding method further includes:
and acquiring the perception information sent by the plurality of perception devices through a message bus.
Specifically, determining a corresponding service function name according to the service type semantics, and embedding the sensing data into a data set corresponding to the determined service function name, including:
classifying, collecting and storing perception information sent by each perception device according to service object semantics to obtain a perception data set corresponding to each service object;
scanning a perception data set corresponding to each service object, and extracting perception data corresponding to the service function name based on the mapping relation between the service function name and the service type semantics;
and dynamically aggregating the extracted sensing data and then embedding the data into a data set corresponding to the functional service name.
Further, the data embedding method further comprises the following steps:
determining the correlation of the service function name corresponding to the data set according to the service function name;
and determining the extraction sequence of the sensing data corresponding to the service function name according to the determined correlation.
In a second aspect of the present invention, a method for embedding digital twin data in a power grid is provided, which includes:
the method comprises the steps that sensing equipment sends sensing information to a message bus, wherein the sensing information comprises sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes comprise service type semantics;
the method comprises the steps that a digital twin body sends digital twin body scene semantic attributes to a message bus, wherein the digital twin body scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the semantic matching component acquires the perception information and the digital twin scene semantic attribute sent by the digital twin through a message bus, judges whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, and sends the perception information to the corresponding digital twin if the perception scene semantic attribute is matched with the digital twin scene semantic attribute;
and the digital twin body receives perception information, determines a corresponding service function name according to the service type semantics, and embeds the perception data into data corresponding to the determined service function name.
In a third aspect of the present invention, a computer device is provided, which includes a semantic matching component, and the semantic matching component includes:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the judging unit is used for judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
and if the sensing data are matched with the service type semantics, sending the sensing information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding service function name according to the service type semantics, and embedding the sensing data into a data set corresponding to the determined service function name.
In a fourth aspect of the invention, there is provided a storage medium having stored therein a computer program which, when read and executed by one or more processors, implements the method of any of the above.
In a fifth aspect of the present invention, a power grid digital twin data embedding system is provided, which includes:
the sensing equipment is used for sending sensing information to the message bus, the sensing information comprises sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes comprise service type semantics;
the digital twin body is used for sending digital twin body scene semantic attributes to a message bus, wherein the digital twin body scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the message bus is used for receiving the perception information and the semantic attributes of the digital twin scene; and
and the semantic matching component is used for acquiring the perception information and the digital twin scene semantic attribute sent by the digital twin through a message bus, judging whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, if so, sending the perception information to the corresponding digital twin so that the corresponding digital twin determines the corresponding service function name according to the service type semantic, and embedding the perception data into the data set corresponding to the determined service function name.
(III) advantageous effects
The technical scheme of the invention has the following beneficial technical effects:
the embodiment of the invention provides a method and a system for embedding data of a digital twin body of a power grid, which enable perception information to contain perception scene semantic attributes by establishing the environment understanding capability of perception equipment and the digital twin body, sending perception information containing perception data to the matched digital twin according to the matching degree of the semantic attributes of the twin scene and the semantic attributes of the perception scene, therefore, the digital twin body can automatically embed the sensing data into the data set corresponding to the related service function, flexible self-adaptive mapping between the sensing information and the digital twin body is realized, automatic matching and access of various sensors including newly-arranged sensors or mobile sensing equipment are ensured, adaptability of the sensing information and the digital twin body is improved, the problem of insufficient virtual-real mapping interaction capacity caused by manual point-to-point setting is avoided, and the development of various electric power application services based on the power grid digital twin body can be effectively promoted.
Drawings
Fig. 1 is a flowchart of a power grid digital twin body data embedding method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a semantic matching process according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data extraction and embedding process according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a power grid digital twin data embedding system provided by an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a power grid digital twin data embedding method, including:
step 101: the method comprises the steps that perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin are obtained through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
step 102: judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
step 103: and if so, sending the perception information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding digital twin body service function name according to the service type semantics, and embedding the perception data into a data set corresponding to the determined service function name.
Specifically, in the embodiment of the invention, the sensing device is a power grid sensing layer device, and may include an online monitoring device, a mobile inspection device, an internet of things terminal, and the like. The on-line monitoring equipment such as an on-line monitoring sensor can comprise equipment on-line monitoring equipment and environment on-line monitoring equipment according to functions, and the mobile inspection equipment comprises an inspection robot, an intelligent helmet and the like; by adding environment understanding attributes of the online monitoring equipment, the mobile inspection equipment and the Internet of things terminal and defining a semantic data structure of the perception scene attribute, perception information containing the perception scene semantic attribute can be obtained, and the perception information is sent to a message bus in a broadcasting mode. Based on the understanding of the digital twin on the entity attributes (such as time, place, name, type structure, state parameters and the like) and the service functions (such as monitoring service, early warning service and the like) of the power grid equipment, the environment understanding capability of the digital twin is established, and the scene semantic attributes of the digital twin are obtained. The digital twin body sends the scene semantic attribute to the message bus in a broadcasting mode, and the semantic matching component performs scene matching on the perception scene semantic attribute and the digital twin body scene semantic attribute on the message bus based on semantic sensitivity and scene constraint conditions.
For example, based on the requirements of environment understanding and the working modes of different types of sensing devices, the semantic data structure defining the sensing scene attributes of the sensing devices is { place, time, service object, function, service mode }, i.e. the sensing scene semantic attributes comprise spatial semantics, temporal semantics, service object semantics and service type semantics (including function and service mode).
The location is the location of the current sensing equipment, and the semantic structure is as follows: (area, location) for online monitoring devices, such as sensors, are sensor installation sites, such as ("suburb 220kV substation", "1 # transformer"); for mobile inspection equipment, such as an inspection robot or an inspection helmet/instrument equipment, the current area of the equipment and corresponding observation points of an observation object, such as a 'suburb 220kV transformer substation' and a '1 # transformer preset point';
the time is the current sensing data sampling moment, and the semantic structure is as follows: (day, time, minute, second), for example, the sampling time of an on-line monitoring device is (21 day, 17 time, 12 minutes, 11 seconds);
the service object describes the currently observed device or environment information, and the semantic structure is as follows: (equipment/environment and parts) such as a certain online monitoring equipment observation object is (1 # transformer and top layer oil temperature);
further, the service type in this example includes a function and a service mode, where the function is a function supported by the device and a monitoring parameter type, and the semantic structure is: the service mode describes a specific service mode of the sensing device, such as fixed mode or movable mode, if the functional semantics of a certain monitoring device are temperature monitoring, top layer oil temperature and bottom layer oil temperature.
Based on the understanding of the digital twin body to the entity attributes (such as time, place, name, type structure, state parameters and the like) and the service functions (such as monitoring service, early warning service and the like) of the power grid equipment, a semantic data structure of the digital twin body scene attribute is defined as { place, time, name, function service }, namely the digital twin body scene semantic attribute comprises space semantic, time semantic, corresponding entity name semantic and service function semantic.
The location is the location of the corresponding entity device, the time is the current moment, the name is the name of the corresponding entity device, and the related semantic structure definition mode refers to the perception layer device definition mode.
The service function is the function born by the digital twin and the type of the required data, and the semantic structure is defined as follows: the method comprises { ("three-dimensional display", "size", "structure", "environment", "weather", "system operation parameter", "monitoring parameter"), ("state monitoring", "monitoring parameter", "system operation parameter"), ("simulation deduction", "structure", "environment", "weather", "operation parameter", "state parameter"), ("intelligent regulation", "regulation parameter"), ("intelligent control", "control parameter") }.
When the semantic attribute of the perception scene is judged to be matched with the semantic attribute of the digital twin scene, the semantic matching component sends the perception message to the corresponding digital twin, the corresponding digital twin determines that the service function name of the corresponding digital twin is three-dimensional display and state monitoring according to the service type semantic monitoring parameters, and then the perception data (corresponding data such as parameter type 1, parameter type 2 and parameter type 3) are respectively embedded into the data sets corresponding to the three-dimensional display and the state monitoring.
The embodiment of the invention provides a power grid digital twin data embedding method, which enables perception information to contain perception scene semantic attributes by establishing the environment understanding capability of perception equipment and a digital twin, sending perception information containing perception data to the matched digital twin according to the matching degree of the semantic attributes of the twin scene and the semantic attributes of the perception scene, therefore, the digital twin body can automatically embed the sensing data into the data set corresponding to the related service function, flexible self-adaptive mapping between the sensing information and the digital twin body is realized, automatic matching and access of various sensors including newly-arranged sensors or mobile sensing equipment are ensured, adaptability of the sensing information and the digital twin body is improved, the problem of insufficient virtual-real mapping interaction capacity caused by manual point-to-point setting is avoided, and the development of various electric power application services based on the power grid digital twin body can be effectively promoted.
Specifically, the sensing scene semantic attributes further include a spatial semantic, a temporal semantic and a service object semantic, the digital twin scene semantic attributes include a spatial semantic, a temporal semantic and a corresponding entity name semantic, and the determining whether the sensing scene semantic attributes are matched with the digital twin scene semantic attributes includes:
and judging whether the space semantic in the perception scene semantic attribute is matched with the space semantic in the digital twin scene semantic attribute, whether the time semantic in the perception scene semantic attribute is matched with the time semantic in the digital twin scene semantic attribute, and whether the service object semantic in the perception scene semantic attribute is matched with the corresponding entity name semantic in the digital twin scene semantic attribute. The method can ensure the accuracy of scene matching and avoid data embedding confusion caused by mismatching.
In a particular embodiment, as shown in fig. 2, the semantic matching component reads the digital twin scene semantic attributes and the perceptual scene semantic attributes through a message bus; firstly, judging whether the space semantics are matched, if so, further judging whether the time semantics are matched, if not, continuously reading the perception scene semantic attribute contained in the next perception information, if so, continuously judging whether the service object semantics are matched with the corresponding entity name semantics (object semantics are matched for short), if so, completing the current perception information semantic matching, and if not, continuously reading the perception scene semantic attribute contained in the next perception information. The method can ensure the matching accuracy, can also quickly remove the perception information which does not meet the scene requirement, and improves the matching rate.
Specifically, the determining whether the spatial semantics in the perceptual scene semantic attribute matches the spatial semantics in the digital twin scene semantic attribute includes:
when the sensing equipment is equipment on-line monitoring equipment, and the spatial semantics in the semantic attributes of the sensing scene and the digital twin scene are completely consistent, judging that the sensing scene semantic attributes and the digital twin scene semantic attributes are matched;
and when the sensing equipment is environment online monitoring equipment or mobile inspection equipment, and the sensing scene semantic attribute is consistent with the area contained in the digital twin scene semantic attribute, judging that the sensing scene semantic attribute is matched with the area contained in the digital twin scene semantic attribute.
The method can ensure that the digital twin data mapping relation is established based on the uniform spatial scale.
Specifically, the determining whether the temporal semantics in the perceptual scene semantic attributes match the temporal semantics in the digital twin scene semantic attributes includes:
judging that the temporal semantics in the perceptual scene semantic attributes match the temporal semantics in the digital twin scene semantic attributes when the following formula I is satisfied:
wherein, tsensorFor sensing the scene semantic attribute time, tDTTime of scene semantic attribute, T, for digital twinsmk1Is a first predetermined value, Tmk2Is the second preset value. In one embodiment, Tmk1Is 5min, Tmk2Is 24 h.
The method can ensure that the digital twin data mapping relation can be established based on uniform time scale.
Specifically, the service object semantics include device identifiers and/or environment identifiers, and determining whether the service object semantics in the perceptual scene semantic attributes are semantically matched with corresponding entity names in the digital twin scene semantic attributes includes:
and when the corresponding entity name semantics comprise the equipment identification and/or the environment identification in the perception scene semantic attribute, determining matching. For example, the semantics of the service object are "1 # transformer, top oil temperature", the device identifier is 1# transformer, and the semantic of the corresponding entity name in the semantic attribute of the digital twin scene is "1 # transformer", and then matching is determined.
Further, the data embedding method further includes:
and acquiring the perception information sent by the plurality of perception devices through a message bus.
Specifically, determining a corresponding service function name according to the service type semantics, and embedding the sensing data into a data set corresponding to the determined service function name, including:
classifying, collecting and storing perception information sent by each perception device according to service object semantics to obtain a perception data set corresponding to each service object;
scanning a perception data set corresponding to each service object, and extracting perception data corresponding to the service function name based on the mapping relation between the service function name and the service type semantics;
and dynamically aggregating the extracted sensing data and then embedding the data into a data set corresponding to the functional service name.
Specifically, data extraction is performed on sensing information conforming to semantic matching, service object semantics (namely entity physical equipment semantic information) is used as an information association condition, various sensing data are collected, for example, online monitoring data reflecting the state of the 1# transformer and robot mobile inspection data are collected, and a 1# transformer sensing data set is formed after data cleaning and conversion. The service function semantics and parameter requirements of the digital twin body are taken as sensitive words to respectively carry out item semantic scanning on the perception data set, the information meeting semantic matching is extracted and dynamically aggregated to a relevant service scene, for example, a 'state monitoring' service extracts the perception information with semantic labels of 'monitoring parameters' and 'system operation parameters' in the perception data set, and the perception information is embedded into a data set corresponding to the 'state monitoring' service scene after aggregation is completed. Other service scenarios are also similar.
Further, the data embedding method further comprises the following steps:
determining the correlation of the service function name corresponding to the data set according to the service function name;
and determining the extraction sequence of the sensing data corresponding to the service function name according to the determined correlation.
In a specific embodiment, the digital twin scene attribute semantic structure is as follows: the method comprises { ("three-dimensional display", "size", "structure", "environment", "weather", "system operation parameter", "monitoring parameter"), ("state monitoring", "monitoring parameter", "system operation parameter"), ("simulation deduction", "structure", "environment", "weather", "operation parameter", "state parameter"), ("intelligent regulation", "regulation parameter"), ("intelligent control", "control parameter") }. According to the preset data set correlation, as shown in fig. 3, semantic scanning, extraction and dynamic aggregation of the perception data are sequentially performed according to the sequence of "three-dimensional display", "state monitoring", "simulation deduction", "intelligent adjustment" and "intelligent control", so as to realize the embedding of the data in the corresponding service function.
The embodiment of the invention provides a power grid digital twin data embedding method, which comprises the following steps:
the method comprises the steps that sensing equipment sends sensing information to a message bus, wherein the sensing information comprises sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes comprise space semantics, time semantics, service object semantics and service type semantics;
the method comprises the steps that a digital twin body sends digital twin body scene semantic attributes to a message bus, wherein the digital twin body scene semantic attributes comprise space semantics, time semantics, corresponding entity name semantics and service function semantics, and the service function semantics comprise a plurality of service function names;
the semantic matching component acquires the perception information and the digital twin scene semantic attribute sent by the digital twin through a message bus, judges whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, and sends the perception information to the corresponding digital twin if the perception scene semantic attribute is matched with the digital twin scene semantic attribute;
and the digital twin body receives perception information, determines a corresponding service function name according to the service type semantics, and embeds the perception data into data corresponding to the determined service function name. The method corresponds to the method of the previous embodiment, and the related description and corresponding effects refer to the previous method embodiment and are not repeated herein.
The embodiment of the invention also provides computer equipment, which comprises a semantic matching component, wherein the semantic matching component comprises:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the judging unit is used for judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
and if the sensing data are matched with the service type semantics, sending the sensing information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding service function name according to the service type semantics, and embedding the sensing data into a data set corresponding to the determined service function name.
The devices and the methods of the present invention correspond to each other, and the detailed description and effects of the devices refer to the method embodiments, which are not described herein again.
An embodiment of the present invention further provides a storage medium, in which a computer program is stored, and the computer program, when read and executed by one or more processors, implements any one of the methods described above.
The storage media and the methods of the present invention correspond to each other, and the specific description and effects of the storage media refer to the method embodiments, which are not described herein again.
As shown in fig. 4, an embodiment of the present invention further provides a power grid digital twin data embedding system, including:
the sensing device 10 is configured to send sensing information to a message bus, where the sensing information includes sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes include service type semantics;
a digital twin 20, configured to send a digital twin scene semantic attribute to a message bus, where the digital twin scene semantic attribute includes a service function semantic, and the service function semantic includes a plurality of service function names;
a message bus 30, configured to receive the perceptual information and the semantic attributes of the digital twin scene; and
and the semantic matching component 40 is configured to acquire the perception information and a digital twin scene semantic attribute sent by the digital twin through a message bus, judge whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, send the perception information to the corresponding digital twin if the perception scene semantic attribute is matched with the digital twin scene semantic attribute, enable the corresponding digital twin to determine a corresponding service function name according to the service type semantic, and embed the perception data into a data set corresponding to the determined service function name.
The systems and methods of the present invention correspond to each other, and the detailed description and effects of the systems are given in the embodiments of the methods, which are not repeated herein. As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (12)
1. A power grid digital twin data embedding method is characterized by comprising the following steps:
the method comprises the steps that perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin are obtained through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
and if so, sending the perception information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding service function name according to the service type semantics, and embedding the perception data into a data set corresponding to the determined service function name.
2. The data embedding method of claim 1, wherein the perceptual scene semantic attributes further include spatial semantics, temporal semantics, and service object semantics, wherein the digital twin scene semantic attributes include spatial semantics, temporal semantics, and corresponding entity name semantics, and wherein the determining whether the perceptual scene semantic attributes match the digital twin scene semantic attributes includes:
and judging whether the space semantic in the perception scene semantic attribute is matched with the space semantic in the digital twin scene semantic attribute, whether the time semantic in the perception scene semantic attribute is matched with the time semantic in the digital twin scene semantic attribute, and whether the service object semantic in the perception scene semantic attribute is matched with the corresponding entity name semantic in the digital twin scene semantic attribute.
3. The data embedding method according to claim 2, wherein the spatial semantics in the perceptual scene semantic attribute and the digital twin scene semantic attribute each include a region and a location, and the determining whether the spatial semantics in the perceptual scene semantic attribute matches the spatial semantics in the digital twin scene semantic attribute comprises:
when the sensing equipment is equipment on-line monitoring equipment, and the spatial semantics in the semantic attributes of the sensing scene and the digital twin scene are completely consistent, judging that the sensing scene semantic attributes and the digital twin scene semantic attributes are matched;
and when the sensing equipment is environment online monitoring equipment or mobile inspection equipment, and the sensing scene semantic attribute is consistent with the area contained in the digital twin scene semantic attribute, judging that the sensing scene semantic attribute is matched with the area contained in the digital twin scene semantic attribute.
4. The data embedding method of claim 2, wherein determining whether the temporal semantic in the perceptual scene semantic attributes matches the temporal semantic in the digital twin scene semantic attributes comprises:
judging that the temporal semantics in the perceptual scene semantic attributes match the temporal semantics in the digital twin scene semantic attributes when the following formula I is satisfied:
wherein, tsensorFor sensing the scene semantic attribute time, tDTFor the digital twin scene semantic attribute time, Tmk1Is a first predetermined value, Tmk2Is the second preset value.
5. The data embedding method of claim 2, wherein the service object semantics comprise device identification and/or environment identification, and determining whether a service object semantics in the perceptual scene semantics attributes semantically match corresponding entity name semantics in the digital twin scene semantics attributes comprises:
and when the corresponding entity name semantics comprise the equipment identification and/or the environment identification in the perception scene semantic attribute, determining matching.
6. The data embedding method of claim 2, further comprising:
and acquiring the perception information sent by the plurality of perception devices through a message bus.
7. The data embedding method of claim 6, wherein determining a corresponding service function name according to the service type semantics, and embedding the perception data into a data set corresponding to the determined service function name comprises:
classifying, collecting and storing perception information sent by each perception device according to service object semantics to obtain a perception data set corresponding to each service object;
scanning a perception data set corresponding to each service object, and extracting perception data corresponding to the service function name based on the mapping relation between the service function name and the service type semantics;
and dynamically aggregating the extracted sensing data and then embedding the data into a data set corresponding to the functional service name.
8. The data embedding method of claim 7, further comprising:
determining the correlation of the service function name corresponding to the data set according to the service function name;
and determining the extraction sequence of the sensing data corresponding to the service function name according to the determined correlation.
9. A power grid digital twin data embedding method is characterized by comprising the following steps:
the method comprises the steps that sensing equipment sends sensing information to a message bus, wherein the sensing information comprises sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes comprise service type semantics;
the method comprises the steps that a digital twin body sends digital twin body scene semantic attributes to a message bus, wherein the digital twin body scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the semantic matching component acquires the perception information and the digital twin scene semantic attribute sent by the digital twin through a message bus, judges whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, and sends the perception information to the corresponding digital twin if the perception scene semantic attribute is matched with the digital twin scene semantic attribute;
and the digital twin body receives perception information, determines a corresponding service function name according to the service type semantics, and embeds the perception data into data corresponding to the determined service function name.
10. A computer device, wherein the computer device comprises a semantic matching component, wherein the semantic matching component comprises:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring perception information sent by perception equipment and digital twin scene semantic attributes sent by a digital twin through a message bus, the perception information comprises perception data and corresponding perception scene semantic attributes, the perception scene semantic attributes comprise service type semantics, the digital twin scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the judging unit is used for judging whether the semantic attribute of the perception scene is matched with the semantic attribute of the digital twin scene;
and if the sensing data are matched with the service type semantics, sending the sensing information to the corresponding digital twin body so that the corresponding digital twin body determines the corresponding service function name according to the service type semantics, and embedding the sensing data into a data set corresponding to the determined service function name.
11. A storage medium having stored therein a computer program which, when read and executed by one or more processors, implements the method of any one of claims 1 to 9.
12. A grid digital twin data embedding system, comprising:
the sensing equipment is used for sending sensing information to the message bus, the sensing information comprises sensing data and corresponding sensing scene semantic attributes, and the sensing scene semantic attributes comprise service type semantics;
the digital twin body is used for sending digital twin body scene semantic attributes to a message bus, wherein the digital twin body scene semantic attributes comprise service function semantics, and the service function semantics comprise a plurality of service function names;
the message bus is used for receiving the perception information and the semantic attributes of the digital twin scene; and
and the semantic matching component is used for acquiring the perception information and the digital twin scene semantic attribute sent by the digital twin through a message bus, judging whether the perception scene semantic attribute is matched with the digital twin scene semantic attribute, and if so, sending the perception information to the corresponding digital twin.
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