CN114465911A - Internet of things sensing equipment resource unified description method - Google Patents
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Abstract
The invention discloses a unified description method for Internet of things sensing equipment resources, which comprises the steps of adding a trust modeling source language into an ontology model, constructing a description model, and describing plant Internet of things system equipment from multiple dimensions through the description model. According to the method for uniformly describing the sensing equipment resources of the Internet of things, the body technology is combined with the factory environment data monitoring system equipment, so that the purpose of shielding the heterogeneity among the sensing equipment of the Internet of things is achieved. And a trust modeling source language is added, so that the credibility of the source data is ensured, and the problem of serious loss caused by wrong decision making of a background monitoring system due to the unreliable source data is avoided.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a unified description method for sensing equipment resources of the Internet of things.
Background
With the continuous development of the technology and application of the internet of things, the generation of edge calculation is promoted, namely, the collected data is analyzed and processed on the sensing equipment. In the industrial internet of things, the factory environment data acquisition system relates to a large number of different sensing devices, and the devices have isomerism, so that the complexity of accessing the devices of the internet of things is increased.
How to shield the heterogeneity of the equipment and perform uniform resource description on the equipment in the prior art becomes a key and difficult problem faced by the technology of the internet of things.
At present, scholars at home and abroad develop relevant researches aiming at the problem, such as different access standards, platforms and relevant solutions are provided, but the research schemes have obvious defects. On one hand, the cost is too high due to the fact that system resources needed by the access of the Internet of things are high in cost and the access capacity is limited; on the other hand, the technical architectures adopted among the platforms have heterogeneity and incompatibility among data formats, so that information islands and information chimneys are formed.
Disclosure of Invention
The invention aims to provide a unified description method for sensing equipment resources of the internet of things, which realizes the unified resource description of industrial sensing equipment by using a body technology, has credible source data and can effectively shield the heterogeneity among the industrial sensing equipment.
In order to solve the technical problems, the invention provides a unified description method for internet of things sensing equipment resources, which comprises the steps of adding a trust modeling source language into an ontology model and constructing a description model; and describing the plant Internet of things system equipment from multiple dimensions through the description model.
Further, the model is described as O ═ { C, R, F, a, I, T };
wherein, C represents a plant resource class, including a device class and a data class; r represents the relationship between different categories; a represents a trust evaluation definition; i represents a trust set; f represents a credibility evaluation algorithm; t represents a trust value.
Further, the description model describes the plant Internet of things system equipment from five dimensions of an attribute class, a trust class, a state class, a history class and a privacy class, and establishes a plant resource description overall architecture.
Further, the attribute class includes a device attribute and an owner attribute, and the device attribute includes a device name, a device model, and a device parameter; the owner attributes include owner information, user information, and sharer information.
Furthermore, the trust class is used for describing the credibility of the collected data, and comprises a credible state and an untrusted state; each trust comprises a data identifier to be evaluated, data updating time, data acquisition interval, data format and acquired data information.
Further, the state class comprises a working state, an acquisition state and feedback state information; the working state comprises normal working and abnormal working information; the acquisition state comprises data identification, data format and acquisition data information; the feedback state includes feedback category, feedback format, and feedback data information.
Furthermore, the history class is used for describing history information stored in the plant Internet of things system equipment, and comprises a history state and history access information; the historical state information comprises state time, state values and state name information; the access history contains access time and access user information.
Further, the privacy class includes access rights, control rights, and history rights; wherein each authority comprises information of a common user and an administrator.
Further, the plant Internet of things system device comprises a sensing device, and the plant Internet of things system adopts JSON as a data transmission format.
The invention has the beneficial effects that: according to the method for uniformly describing the sensing equipment resources of the Internet of things, the body technology is combined with the factory environment data monitoring system equipment, so that the purpose of shielding the heterogeneity among the sensing equipment of the Internet of things is achieved. And a trust modeling source language is added, so that the credibility of the source data is ensured, and the problem of serious loss caused by wrong decision making of a background monitoring system due to the unreliable source data is avoided. Meanwhile, JSON is used as a data transmission format to realize cross-platform transmission of data.
Drawings
FIG. 1 is a diagram of a plant resource description architecture.
FIG. 2 is a diagram illustrating a dependency class description design structure of a model.
FIG. 3 is a diagram illustrating a model design structure described from a state class.
FIG. 4 is a diagram illustrating a model design structure from a privacy class description.
FIG. 5 is a diagram illustrating a model describing a design structure from a historical information class.
FIG. 6 is a diagram illustrating a model design structure from a confidence class description.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below 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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 6, the following description will be made in detail with reference to embodiments, and for the sake of simplicity, the following description omits technical common knowledge known to those skilled in the art.
The method for uniformly describing the resources of the sensing equipment of the Internet of things comprises the steps of adding a trust modeling source language into an ontology model and constructing a description model.
The ontology is used for uniformly describing information in a certain field, and the core idea of the ontology is to solve the problem of information knowledge sharing and reusing. Ontologies can be divided into well-defined, conceptualized, and shared 4 aspects.
Wherein, the definition means that no ambiguity exists between the concepts of the ontology; conceptualization refers to abstract expression of described things and phenomena by ontologies; formalization means that the concepts described by the ontology can be directly understood by a machine; shareability refers to the use of ontologies to describe things that can be recognized by the general public in the field.
In summary, ontology is a collective concept recognized by experts and scholars in a certain field, and its core is semantic sharing. The semantic content description of the ontology is mainly embodied through the relation between concepts, so that the ontology can be understood as deeper knowledge and essential knowledge, and the function can be applied to different knowledge systems to achieve the purpose of resource sharing.
Ontology modeling refers to extracting knowledge from a certain domain to form semantic concepts, instances and relationships between the semantic concepts and the instances, which describe the domain data.
With the development of internet information technology, people use ontologies in the information field to describe the interrelationship between concepts. The description of the concepts provides a unified format and metadata terms of the information, provides a set of specifications and standards for the information specification, and forms an ontology model.
In the application, a trust modeling source language is added into an ontology model, and a description model is constructed. As is well known, the source data of the internet of things is the basis for decision making by the background monitoring system, and if the credibility of the source data cannot be guaranteed, the background monitoring system can directly make an incorrect decision, thereby causing a significant loss.
Therefore, in order to guarantee the credibility of the source data, a description model is newly constructed; wherein, the ontology description model is O ═ { C, R, F, a, I, T }.
Where C represents a plant resource class, including a device class and a data class. Of course, these classes can be preferably subdivided, for example, the device classes can be divided into different device classes, such as sensors, control devices, etc., C represents the concept of the class, each basic class is Ci, and each basic class is further divided into subclasses Cij.
R represents the relationship between different categories, such as the relationship between the acquisition device and the acquired data. A represents a trust evaluation definition; i represents a trust set; f stands for credibility assessment algorithm, and the functional relationship of F stands for can be formally defined as: f ═ C1 × C2 × … × Cn-1 → Cn; t represents a trust value.
The plant Internet of things system equipment is described from multiple dimensions through the description model, the plant Internet of things system equipment is described from five dimensions of an attribute class, a trust class, a state class, a history class and a privacy class through the description model, and a plant resource description overall architecture is established.
The method and the system are applied to the factory Internet of things system equipment through the body technology, the factory environment data acquisition equipment is uniformly described, the heterogeneity of bottom equipment is effectively shielded, and resource sharing and reusing under the body mechanism are realized.
The method describes the attribute class, the state class, the control class, the historical information class and the privacy class of the equipment resources of the Internet of things, is applied to an intelligent office system, effectively describes the bottom layer resources in a unified manner, and shields the heterogeneity of the bottom layer equipment.
The factory environment information is large and complex, and is mainly reflected in regional difference, complex environment, temperature difference and the like. In a plant environment monitoring system, plant environment data acquisition involves a plurality of sensors, such as sensors of soil temperature, soil humidity, illumination and the like.
The description of these sensing devices generally includes the type of the device, the ID number, the version number of the software and hardware used, the electrical properties, the normal operating conditions, the vendor information, default settings, the user's usage right limits, etc.
For plant internet of things equipment, resources are described from the following aspects:
the device information is summarized into an attribute class and a trust class through the ontology, and the attribute class and the trust class comprise information such as the type, parameter attribute and trust value of the device.
The device feedback information is summarized into a state class and a history class through the ontology, and the state information, the early warning information, the history information and the like of the device are included here.
The authority information of the device is summarized into a privacy class through an ontology, wherein different users have different authorities for accessing the device.
Through information analysis of the factory acquisition equipment, the existing Internet of things equipment resource description model is expanded, a sensing equipment resource description model supporting credibility evaluation is designed, factory Internet of things equipment is described in 5 dimensions of attribute type, state type, privacy type, historical information type and credibility type, and a factory resource description overall architecture is established.
Since plant data collection involves a large number of devices, the attribute class is designed to describe the attribute information of the devices.
The attribute class comprises an equipment attribute and an owner attribute, wherein the equipment attribute comprises an equipment name, an equipment model and an equipment parameter; the owner attributes include owner information, user information, and sharer information.
The credibility of the collected data of the factory environment is an important guarantee for industrial production, so the design of the credibility class is used for describing the credibility of the collected data. The trust class is used for describing the credibility of the collected data and comprises a credible state and an untrusted state; each trust comprises a data identifier to be evaluated, data updating time, data acquisition interval, data format and acquired data information.
Factory equipment is often deployed in harsh environments, and therefore it becomes particularly important to acquire the operating state of the equipment. The status class is status information used to describe the plant equipment.
The state class comprises a working state, an acquisition state and feedback state information; the working state comprises normal working and abnormal working information; the acquisition state comprises data identification, data format and acquisition data information; the feedback state includes feedback category, feedback format, and feedback data information.
In the factory acquisition equipment, a history class is used for describing history information stored in the factory Internet of things system equipment, and the history information comprises a history state and history access information; the historical state information comprises state time, state values and state name information; the access history contains access time and access user information.
In a plant monitoring system, different users should be assigned different authorities in order to ensure the safety of the plant monitoring system. The privacy class is therefore designed to describe access and control rights. The privacy class comprises access authority, control authority and historical authority; wherein each authority comprises information of a common user and an administrator.
In the application, the plant Internet of things system equipment comprises sensing equipment, and the plant Internet of things system adopts JSON as a data transmission format.
The cross-platform data transmission refers to data communication and resource sharing among different platforms, different systems and different devices. In the whole course of information development, to better realize the organic integration of cloud computing, internet of things and artificial intelligence, the three must be combined from the perspective of taking data as a core, but the main bottleneck problem in the development is how to realize data sharing and efficient communication between different platforms.
Therefore, in order to solve the compatibility problem between different platforms, the cross-platform data transmission technology is an important means for improving resource sharing and efficient communication.
The factory Internet of things system adopts JSON as a data transmission format, is a lightweight data transmission format, and has the advantages of simplicity and understandability, simple format, language independence, high transmission speed, platform independence and the like.
Moreover, JSON supports multiple languages such as Java, Android and JavaScript, and meanwhile, due to the simplicity of writing and reading of JSON, the network analysis and transmission efficiency is greatly improved. The extensible markup language is a structured language for marking electronic files, and mainly marks data and defines data types, so that a user can mark own language.
JSON is used as a lightweight data transmission format, has the advantages of simple data format, fast transmission, convenient analysis, easy reading and maintenance, large potential and the like, and is suitable for the requirement of poor software/hardware characteristics of edge equipment.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A unified description method for sensing equipment resources of the Internet of things is characterized by comprising the following steps: comprises that
S1, adding a trust modeling source language into an ontology model to construct a description model;
and S2, describing the plant Internet of things system equipment from multiple dimensions through the description model.
2. The internet of things perception device resource uniform description method according to claim 1, characterized in that: the description model is O ═ { C, R, F, A, I, T };
wherein, C represents a plant resource class, including a device class and a data class; r represents the relationship between different categories; a represents a trust evaluation definition; i represents a trust set; f represents a credibility evaluation algorithm; t represents a trust value.
3. The internet of things perception device resource uniform description method according to claim 1, characterized in that: the description model describes plant Internet of things system equipment from five dimensions of an attribute class, a trust class, a state class, a history class and a privacy class, and establishes a plant resource description overall architecture.
4. The Internet of things perception device resource uniform description method according to claim 3, characterized in that: the attribute class comprises equipment attributes and owner attributes, wherein the equipment attributes comprise equipment names, equipment models and equipment parameters; the owner attributes include owner information, user information, and sharer information.
5. The Internet of things perception device resource uniform description method according to claim 3, characterized in that: the trust class is used for describing the credibility of the collected data and comprises a credible state and an untrusted state; each trust comprises a data identifier to be evaluated, data updating time, data acquisition interval, data format and acquired data information.
6. The Internet of things perception device resource uniform description method according to claim 3, characterized in that: the state class comprises a working state, an acquisition state and feedback state information; the working state comprises normal working and abnormal working information; the acquisition state comprises data identification, data format and acquisition data information; the feedback state includes feedback category, feedback format, and feedback data information.
7. The Internet of things perception device resource uniform description method according to claim 3, characterized in that: the history class is used for describing history information stored by the plant Internet of things system equipment and comprises a history state and history access information; the historical state information comprises state time, state values and state name information; the access history contains access time and access user information.
8. The Internet of things perception device resource uniform description method according to claim 3, characterized in that: the privacy class comprises an access right, a control right and a history right; wherein each authority comprises information of a common user and an administrator.
9. The internet of things perception device resource uniform description method according to claim 1, characterized in that: the factory Internet of things system equipment comprises sensing equipment, and the factory Internet of things system adopts JSON as a data transmission format.
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