CN110740196A - Processing method and device for Internet of things identifiers and terminal equipment - Google Patents
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Abstract
The invention provides a method, a device and terminal equipment for processing Internet of things identifiers, and relates to the technical field of communication.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a processing method and device for Internet of things identifiers and terminal equipment.
Background
The internet of things identifier is a name tag used for identifying different objects of the internet of things. The commodity code, the equipment serial number, the equipment network address, the page URI and the like are all Internet of things identifiers. With the rapid development of the internet of things, internet of things identification systems are continuously released in different fields of different countries, and the situation that various heterogeneous internet of things identifications coexist is brought.
The comprehensive identification supports identification of any object in different fields, and is a comprehensive identification system, and common comprehensive identification systems comprise three identification systems, namely a digital object identification system Handle, an object identification system OID and an Internet of things system identification system Ecode.
However, in the field of internet of things, with the development of machine intelligence technology, equipment interaction under an unattended condition is a development direction, and robots and intelligent equipment can acquire object information through scanning an identifier, but because the identifier code lacks semantic information, the machine cannot understand what a scanned object is like a person , so that many intelligent applications of the internet of things system are limited.
Disclosure of Invention
The invention aims to provide processing methods and devices of Internet of things identifiers and terminal equipment to realize deep understanding of target objects by the equipment.
In order to achieve the above object, an embodiment of the present invention provides methods for processing an identifier of an internet of things, including:
acquiring an identification code of a target object, wherein the identification code comprises an th identification, a second identification and a third identification, the th identification is a concept identification of the target object in a preset knowledge base, the second identification is an indication identification of a preset identification type, and the third identification is an initial identification of the target object in the preset identification type;
analyzing the identification code to obtain the th identifier, the second identifier and the third identifier;
and determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier.
The identification code is formed by combining the th identification, the second identification and the third identification according to a preset rule;
the step of analyzing the identification code to obtain the th identifier, the second identifier and the third identifier includes:
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
The preset knowledge base comprises an Internet of things object and a concept identifier of the Internet of things object.
The concept identification comprises the position number of each hierarchy of the class where the Internet of things object is located in the preset knowledge base.
The preset knowledge base further comprises a definition relation of the Internet of things objects;
the step of acquiring the identification code of the target object comprises the following steps:
and inquiring the target object and the identification code of the target object according to the input at least two to-be-inquired Internet of things objects and the definition relationship between the at least two to-be-inquired Internet of things objects.
Wherein the step of determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier comprises:
analyzing the th identifier to obtain attribution type information of the target object in the preset knowledge base;
analyzing the second identifier to obtain a preset identifier type used by the third identifier;
obtaining the description information of the target object according to the third identifier and a preset identifier type used by the third identifier;
and determining the attribute information of the target object according to the attribution type information and the description information.
To achieve the above object, an embodiment of the present invention provides processing apparatuses for internet of things identifiers, including:
the identification code comprises an th identification, a second identification and a third identification, wherein the th identification is a concept identification of the target object in a preset knowledge base, the second identification is an indication identification of a preset identification type, and the third identification is an initial identification of the target object in the preset identification type;
the analysis module is used for analyzing the identification code to obtain the th identifier, the second identifier and the third identifier;
and the processing module is used for determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier.
The identification code is formed by combining the th identification, the second identification and the third identification according to a preset rule;
the parsing module is further configured to:
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
The preset knowledge base comprises an Internet of things object and a concept identifier of the Internet of things object.
The concept identification comprises the position number of each hierarchy of the class where the Internet of things object is located in the preset knowledge base.
The preset knowledge base further comprises a definition relation of the Internet of things objects;
the acquisition module includes:
and the query submodule is used for querying the target object and the identification code of the target object according to the input at least two to-be-queried Internet of things objects and the definition relationship between the at least two to-be-queried Internet of things objects.
Wherein the processing module comprises:
an parsing submodule, configured to parse the identifier to obtain attribution type information of the target object in the preset knowledge base;
the second analysis submodule is used for analyzing the second identifier to obtain a preset identifier type used by the third identifier;
an processing sub-module, configured to obtain description information of the target object according to the third identifier and a preset identifier type used by the third identifier;
and the second processing submodule is used for determining the attribute information of the target object according to the attribution type information and the description information.
In order to achieve the above object, an embodiment of the present invention provides terminal devices, which include a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the processing method of the internet of things identifier as described above when executing the computer program.
To achieve the above object, an embodiment of the present invention provides computer-readable storage media, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the processing method of the internet of things identifier as described above.
The technical scheme of the invention has the following beneficial effects:
th mark, second mark and third mark, because mark is the concept mark of the target object in the preset knowledge base, the second mark is the indication mark of the preset mark type, the third mark is the initial mark of the target object in the preset mark type, then the attribute information of the target object can be determined according to the three marks, and the terminal device can know the target object more deeply by combining semantic expression.
Drawings
Fig. 1 is a flow chart of a processing method of an internet of things identifier according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a default knowledge base according to an embodiment of the present invention;
fig. 3 is a second flowchart of a processing method of an internet of things identifier according to an embodiment of the present invention;
fig. 4 is a third flowchart of a processing method of an internet of things identifier according to an embodiment of the present invention;
fig. 5 is a structural diagram of a terminal device according to an embodiment of the present invention;
fig. 6 is a block diagram of a terminal device according to another embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention.
As shown in fig. 1, the processing method of kinds of internet of things identifiers in the embodiment of the present invention includes:
101, acquiring an identification code of a target object, wherein the identification code comprises an th identifier, a second identifier and a third identifier, the th identifier is a concept identifier of the target object in a preset knowledge base, the second identifier is an indication identifier of a preset identifier type, and the third identifier is an initial identifier of the target object in the preset identifier type;
102, analyzing the identification code to obtain the th mark, the second mark and the third mark;
The preset knowledge base in the embodiment of the invention can multiplex knowledge bases such as universal encyclopedic knowledge base DBpedia, system machine to machine OneM2M knowledge base, can also be a knowledge base which combines existing knowledge bases to construct an identification field, or can be a knowledge base which reconstructs the characteristics of the identification field, wherein the Internet of things objects represented by a plurality of preset identification types (such as Handle, Ecode, OID, GS1 and the like) are mapped into the preset knowledge base to become instances of the preset knowledge base, and conceptual identifications are created in the preset knowledge base corresponding to the Internet of things objects for semantic expression of the Internet of things objects.
After the identification code of the target object is obtained through the step 101 and 103, the identification code can be analyzed to obtain the th identification, the second identification and the third identification, since the st identification is the conceptual identification of the target object in the preset knowledge base, the second identification is the indication identification of the preset identification type, and the third identification is the initial identification of the target object in the preset identification type, the attribute information of the target object can be determined according to the three identifications, and the terminal device can understand the target object more deeply by combining semantic expression.
Here, it should be understood that, in this embodiment, the indicator of the preset identifier type is an -only identifier created for a plurality of preset identifier types, and as shown in table 1 below, a corresponding system identifier (i.e., indicator) is mapped for each identifier coding system (i.e., preset identifier type):
TABLE 1
| Identification coding system | Corresponding system identification |
| Semantic coding | 0 |
| |
1 |
| |
2 |
| |
3 |
| |
4 |
| ….. | ….. |
Each internet of things object also has original identification, namely initial identification, in the preset identification type currently used by the object to describe the internet of things object, and the initial identification can be a text or a numeric string.
In this embodiment, the identification code is formed by combining the th identifier, the second identifier and the third identifier according to a preset rule;
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
Here, after the identification code of the target object is acquired, three parts of identification can be extracted at corresponding positions based on a preset rule constituting the identification code, so that subsequent targeted identification analysis can be performed.
For example, the preset rule is to connect the th identifier, the second identifier, and the third identifier in sequence by "+", that is, the identifier is specifically " th identifier + second identifier + third identifier", so after the identifier is obtained, the th identifier, the second identifier, and the third identifier can be extracted from the identifier by identifying "+".
In addition, as can be seen from the above, in the construction of the preset knowledge base in this embodiment, the internet-of-things objects represented by a plurality of preset identifier types are mapped into the preset knowledge base, and become instances of classes in the preset knowledge base.
The concept identification comprises the position number of each hierarchy of the class where the Internet of things object is located in the preset knowledge base.
Here, the concept identifier includes the position numbers of the classes of the internet of things objects in the preset knowledge base in each hierarchy to express the hierarchical information of the internet of things objects in the preset knowledge base, so that for the instance of the internet of things objects in the preset knowledge base, the concept identifier can acquire the classes of the internet of things objects, and the internet of things object information described by the identifier is richer. And the position numbers of each hierarchy are connected through a preset spacer so as to carry out identification analysis.
Taking the preset knowledge base shown in fig. 2 as an example, the number on the right side of each internet of things object is the current hierarchical position number, and when the conceptual identifier is connected to each hierarchical position number by "" (preset spacer), the conceptual identifier of internet of things object may be a numeric string formed by ".", for example, the conceptual identifier of carbonated beverage is 1.4.1, and the conceptual identifier of green tea is 1.4.4.2.
Thus, the internet of things object "green tea", whose GS1 is encoded as "6901234567892", has an identification code of "1.4.4.2 +4+ 6901234567892"; the Ecode code is '100036901234567892', and the identification code is '1.4.4.2 +3+ 100036901234567892'.
Therefore, it can be known that the generation of the identification code in this embodiment, as shown in fig. 3, includes:
and 304, combining the concept identifier corresponding to the object of the internet of things, the preset identifier type and the initial identifier in the preset identifier type to obtain the identifier.
In addition, in order to make semantic representation of some internet of things objects more detailed, optionally, the preset knowledge base further includes a definition relationship of the internet of things objects;
the step of acquiring the identification code of the target object comprises the following steps:
and inquiring the target object and the identification code of the target object according to the input at least two to-be-inquired Internet of things objects and the definition relationship between the at least two to-be-inquired Internet of things objects.
Here, the definition relationship is set by a system or an administrator, and the definition relationship is used for expressing attribute association information of the object of the internet of things. In this way, the identification code can implement semantic query with a knowledge base query language, that is, in step 101, a target object and an identification code thereof are queried based on at least two to-be-queried internet of things objects input by the query and a defined relationship between the at least two to-be-queried internet of things objects, and then the identification code is analyzed, so that the category information of the current target object and the associated information between the current target object and other objects can be determined by using the concept hierarchical information and the attribute associated information in the preset knowledge base.
For example, the preset knowledge base shown in FIG. 2, the physical web object "commodity" is provided with a defined relationship that "commodity" is sold in "Market" (i.e. there is a "Sell" attribute between "commodity" and "Market"), and all related products sold in "markets" can be queried, wherein, in particular, the query language: PREFIX Market: < http:// www.semanticweb.org/# >)
SELECT? x WHERE {? x rdf type Market? x rdf type Market? xsuprarket # Sell? y. }
The query result is an instance set in the preset knowledge base, the name of the instance is the identification code, and then the detailed information of the commodities sold in the shop can be obtained by utilizing the analysis operation of the identification code.
Optionally, as shown in fig. 4, step 103 includes:
The th mark is analyzed to obtain the attribution type information of the target object in the preset knowledge base, the second mark is analyzed to obtain the preset mark type used by the target object, the description information (such as name, date of production, place of production and the like) of the target object can be obtained by combining the third mark and the determined preset mark type, finally, the attribute information of the target object is determined by the attribution type information and the description information.
Continuing with the above-mentioned identification code 1.4.4.2+4+6901234567892 "of" green tea "encoded in GS1, the terminal device obtains description information on the name, production date, production place, and the like of the target object by parsing out the -th identifier" 1.4.4.2 ", the second identifier" 4 ", and the third identifier" 6901234567892 "and then parsing out the third identifier of the identification code by" 4 ", using GS1 code, and then parsing out" 6901234567892 ", however, the terminal device cannot understand the name of the target object.
can also acquire the identification code of the target object by directly scanning a two-dimensional code, a bar code and the like on the target object without inquiring in step 101.
In the embodiment, the identification codes comprise th identification, second identification and third identification, semantic information is added to each initial identification code of a preset identification type, each object is mapped with a preset knowledge base, the system parsing and semantic description of heterogeneous identification are realized, and finally interconnection and intercommunication and data mutual recognition between entities of the internet of things are realized.
As shown in fig. 5, an processing apparatus for internet of things identifiers in an embodiment of the present invention includes:
the obtaining module 501 is configured to obtain an identifier of a target object, where the identifier includes an th identifier, a second identifier, and a third identifier, the th identifier is a conceptual identifier of the target object in a preset knowledge base, the second identifier is an indicator of a preset identifier type, and the third identifier is an initial identifier of the target object in the preset identifier type;
the analyzing module 502 is configured to analyze the identification code to obtain the th identifier, the second identifier, and the third identifier;
the processing module 503 is configured to determine attribute information of the target object according to the th identifier, the second identifier, and the third identifier.
The identification code is formed by combining the th identification, the second identification and the third identification according to a preset rule;
the parsing module is further configured to:
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
The preset knowledge base comprises an Internet of things object and a concept identifier of the Internet of things object.
The concept identification comprises the position number of each hierarchy of the class where the Internet of things object is located in the preset knowledge base.
The preset knowledge base further comprises a definition relation of the Internet of things objects;
the acquisition module includes:
and the query submodule is used for querying the target object and the identification code of the target object according to the input at least two to-be-queried Internet of things objects and the definition relationship between the at least two to-be-queried Internet of things objects.
Wherein the processing module comprises:
an parsing submodule, configured to parse the identifier to obtain attribution type information of the target object in the preset knowledge base;
the second analysis submodule is used for analyzing the second identifier to obtain a preset identifier type used by the third identifier;
an processing sub-module, configured to obtain description information of the target object according to the third identifier and a preset identifier type used by the third identifier;
and the second processing submodule is used for determining the attribute information of the target object according to the attribution type information and the description information.
The terminal device of this embodiment can analyze the identification code after acquiring the identification code of the target object to obtain the th, second and third identifiers, where the st identifier is a conceptual identifier of the target object in a preset knowledge base, the second identifier is an indication identifier of a preset identifier type, and the third identifier is an initial identifier of the target object in the preset identifier type, and then the terminal device can determine the attribute information of the target object according to the three identifiers, and by combining semantic expression, can understand the target object more deeply.
In another embodiment of the present invention, the terminal devices, as shown in fig. 6, include a transceiver 610, a memory 620, a processor 600, and a computer program stored in the memory 620 and executable on the processor 600, wherein the processor 600 implements the processing method of the internet of things identifier when executing the computer program.
The transceiver 610 is used for receiving and transmitting data under the control of the processor 600.
In fig. 6, among other things, the bus architecture may include any number of interconnected buses and bridges, specifically, the various circuits represented by the or processors represented by the processor 600 and the memory represented by the memory 620 are linked up at the bus architecture may also link up various other circuits such as peripherals, voltage regulators, power management circuits, etc., at , all of which are well known in the art and therefore not described further herein at step .
The processor 1100 is responsible for managing the bus architecture and general processing, and the memory 1120 may store data used by the processor 1100 in performing operations.
computer-readable storage media of the embodiments of the present invention have computer programs stored thereon, where the computer programs, when executed by a processor, implement the steps in the processing method for the internet of things identifier described above, and can achieve the same technical effects, and are not described herein again to avoid repetition.
it should be noted that the terminals described in this specification include, but are not limited to, smart phones, tablets, etc., and that many of the features described are referred to as modules to more particularly emphasize their implementation independence.
identified modules of executable code may include, for instance, or more physical or logical blocks of computer instructions, which may be constructed as objects, procedures, or functions, for instance, nonetheless, the executable code of the identified module need not be physically located at , but may include different instructions stored in different bits which, when logically combined at , constitute the module and achieve the stated purpose for the module.
Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Likewise, operational data may be identified within the modules and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.
While a module may be implemented in software, given the level of hardware technology available, a module implemented in software may, without cost, constitute a corresponding hardware circuit comprising custom Very Large Scale Integration (VLSI) circuits or arrays and existing semiconductor or other discrete components such as logic chips, transistors, etc. a module may also be implemented in programmable hardware devices such as field programmable arrays, programmable array logic, programmable logic devices, etc.
The foregoing exemplary embodiments are described with reference to the accompanying drawings, and many different forms and embodiments are possible without departing from the spirit and teaching of the invention, and therefore the invention should not be construed as limited to the exemplary embodiments set forth herein.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (14)
1, processing method of Internet of things identification, comprising:
acquiring an identification code of a target object, wherein the identification code comprises an th identification, a second identification and a third identification, the th identification is a concept identification of the target object in a preset knowledge base, the second identification is an indication identification of a preset identification type, and the third identification is an initial identification of the target object in the preset identification type;
analyzing the identification code to obtain the th identifier, the second identifier and the third identifier;
and determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier.
2. The processing method of the internet of things identifier according to claim 1, wherein the identifier code is formed by combining the th identifier, the second identifier and the third identifier according to a preset rule;
the step of analyzing the identification code to obtain the th identifier, the second identifier and the third identifier includes:
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
3. The processing method of the internet of things identifier as claimed in claim 1, wherein the preset knowledge base comprises an internet of things object and a concept identifier of the internet of things object.
4. The processing method of the internet of things identifier as claimed in claim 3, wherein the concept identifier includes a position number of each hierarchy in the preset knowledge base of a class in which the internet of things object is located.
5. The processing method of the internet of things identifier as claimed in claim 3, wherein the preset knowledge base further comprises a definition relationship of the internet of things object;
the step of acquiring the identification code of the target object comprises the following steps:
and inquiring the target object and the identification code of the target object according to the input at least two to-be-inquired Internet of things objects and the definition relationship between the at least two to-be-inquired Internet of things objects.
6. The method for processing the internet of things identifier of claim 1, wherein the step of determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier comprises:
analyzing the th identifier to obtain attribution type information of the target object in the preset knowledge base;
analyzing the second identifier to obtain a preset identifier type used by the third identifier;
obtaining the description information of the target object according to the third identifier and a preset identifier type used by the third identifier;
and determining the attribute information of the target object according to the attribution type information and the description information.
7, processing apparatus of thing networking sign, include:
the identification code comprises an th identification, a second identification and a third identification, wherein the th identification is a concept identification of the target object in a preset knowledge base, the second identification is an indication identification of a preset identification type, and the third identification is an initial identification of the target object in the preset identification type;
the analysis module is used for analyzing the identification code to obtain the th identifier, the second identifier and the third identifier;
and the processing module is used for determining the attribute information of the target object according to the th identifier, the second identifier and the third identifier.
8. The processing device of the internet of things identifier according to claim 7, wherein the identifier code is formed by combining the th identifier, the second identifier and the third identifier according to a preset rule;
the parsing module is further configured to:
according to the preset rule, the th mark, the second mark and the third mark are respectively extracted from the corresponding positions of the identification codes.
9. The device for processing the internet of things identifier as recited in claim 7, wherein the predetermined knowledge base comprises an internet of things object and a concept identifier of the internet of things object.
10. The apparatus for processing an internet of things identifier according to claim 9, wherein the concept identifier includes a hierarchy position number of a class in which the internet of things object is located in the preset knowledge base.
11. The device for processing the internet of things identifier according to claim 9, wherein the preset knowledge base further includes a definition relationship of the internet of things object;
the acquisition module includes:
and the query submodule is used for querying the target object and the identification code of the target object according to the input at least two to-be-queried Internet of things objects and the definition relationship between the at least two to-be-queried Internet of things objects.
12. The processing device of the internet of things identifier of claim 7, wherein the processing module comprises:
an parsing submodule, configured to parse the identifier to obtain attribution type information of the target object in the preset knowledge base;
the second analysis submodule is used for analyzing the second identifier to obtain a preset identifier type used by the third identifier;
an processing sub-module, configured to obtain description information of the target object according to the third identifier and a preset identifier type used by the third identifier;
and the second processing submodule is used for determining the attribute information of the target object according to the attribution type information and the description information.
terminal device, comprising a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method for processing the internet of things identifier as claimed in any of claims 1-6- .
14, computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for handling internet of things identification according to any of claims 1-6 to .
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