An ontology model-based internet of things sensing access method

Abstract

The application provides an Internet of Things perception access method based on an ontology model, relates to the technical field of Internet of Things perception data access, and comprises the following steps: defining core concepts and their dependency relationships by using a standardized ontology description language, constructing an Internet of Things perception access ontology model; generating a unified workflow structure based on the model mapping, and establishing four types of standardized workflow templates; registering perception resources; constructing standardized workflows based on the templates and resources; converting the workflows into service requests of different platforms through a workflow mapping mechanism, and realizing cross-platform access. The application eliminates semantic ambiguity among heterogeneous devices through the ontology model, realizes modular process management by using the four types of templates, and significantly reduces manual intervention and operation threshold.

Description

Technical Field

[0001] This application relates to the field of IoT sensing data access technology, and in particular to an IoT sensing access method based on an ontology model. Background Technology

[0002] With the rapid development of IoT technology and the increasingly complex and diverse application scenarios, the types and quantities of IoT sensing resources are growing exponentially. However, different IoT sensing resources exhibit significant differences in physical attributes, communication protocols, and data formats. This heterogeneity poses a major challenge to the standardization and convenience of the IoT sensing access process. This challenge is mainly reflected in the lack of unified standards for data access, the lack of convenient processing methods in operational steps, and the lack of interoperability mechanisms between different platforms. Furthermore, existing IoT sensing platforms are typically complex and highly coupled, requiring users to possess certain professional technical skills and familiarity with various functional modules to achieve high-speed and stable access to IoT sensing data. This situation results in low efficiency, complex operation, and a lack of applicability in the IoT sensing access process, becoming a major obstacle to the practical application of IoT sensing resources. How to effectively improve the efficiency of IoT sensing access under conditions of resource heterogeneity and platform complexity, while ensuring the simplicity and applicability of the operation process, has become a major problem that needs to be overcome in the current technological field. Therefore, it is necessary to innovate and improve the IoT sensing access process to achieve standardized, convenient, and cross-platform data access.

[0003] To facilitate convenient and efficient access to IoT sensing data, this invention uses an ontology model as its semantic foundation. First, it constructs an ontology model suitable for IoT sensing access. Then, it establishes a mapping relationship between this ontology model and the workflow, ultimately achieving a convenient, efficient, and cross-platform operation for the IoT sensing access process. However, existing methods and technologies have the following problems: (1) Currently, the ontology models used in the field of IoT sensing access (such as SSN ontology) mainly focus on the sensing data acquisition stage, lacking complete and unified semantic modeling of the entire access process. This deficiency leads to IoT sensing access being highly dependent on manual intervention, thus restricting the convenience of the overall access process. Therefore, formulating unified data semantic standards and promoting collaboration and interoperability between different fields has become a necessary technical approach to improve the standardization and convenience of IoT sensing access.

[0004] (2) Currently, IoT sensing access requires a series of complex operations, including communication protocol adaptation, security verification, and data storage, to ensure the stability and reliability of the architecture. Furthermore, to meet technical requirements such as real-time performance, high concurrency, and data security, existing platforms typically require fine-grained parameter configuration and highly customized architectures. This setup necessitates that operators possess the necessary platform technical knowledge for configuration and management, thus increasing operational difficulty and the barrier to entry. In addition, different platforms are usually implemented based on their own independent technical systems and closed data ecosystems, lacking unified and standardized data interfaces, which limits data sharing and interoperability between different platforms. These technical challenges collectively restrict the usability and interoperability of IoT sensing access platforms, thus becoming problems that need to be overcome in practical applications. Summary of the Invention

[0005] The purpose of this invention is to address the problems of data heterogeneity leading to access difficulties, operational complexity, and lack of interoperability in existing IoT sensing access processes, by providing an IoT sensing access method based on an ontology model. This method leverages an ontology model to perform semantic modeling of sensing resources, achieving standardization and normalization of the data access process, and providing a more complete and reliable data foundation for upper-layer applications. The entire process requires minimal manual intervention, significantly lowering the operational threshold and improving access efficiency, thus providing strong support for the innovation and implementation of IoT sensing technology in various applications. The above-mentioned objectives of this application are achieved through the following technical solutions: Step S1: Define the core concepts and their dependencies in the IoT sensing access process using a standardized ontology description language, and construct an IoT sensing access ontology model; Step S2: Generate a unified workflow structure based on the IoT sensing access ontology model mapping, and establish four types of standardized workflow templates; Step S3: Register the sensing resources involved in the IoT sensing access process; Step S4: Based on the four types of standardized workflow templates and sensing resources, construct a standardized IoT sensing access workflow; Step S5: Through the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into service requests for different platforms, enabling cross-platform access of IoT sensing devices.

[0006] Optionally, step S1 includes: Step S1.1: Analyze the IoT sensing access architecture and extract devices, gateways, and communication protocols as core concepts; Step S1.2: Classify the core concepts in multiple dimensions and clarify their dependencies; Step S1.3: Define the core concepts and their attributes after classification to eliminate semantic ambiguity between heterogeneous devices; Step S1.4: Based on the core concepts, attributes and dependencies, construct the IoT sensing access ontology model and perform semantic consistency verification, and use OWL language for standardized description.

[0007] Optionally, step S2 includes: Step S2.1: Analyze the IoT sensing access ontology model, establish the semantic mapping relationship between concepts and process nodes, and complete the design of the workflow structure; Step S2.2: Based on the workflow structure and the preset application scenarios, design four types of workflow templates and use OWL language for formal semantic description.

[0008] Optionally, step S3 includes: Step S3.1: Collect the physical attributes and capabilities information of the sensing resources to be registered; Step S3.2: Perform a completeness check on the collected physical attribute and capability information; Step S3.3: After assigning a unique identifier to the physical attributes and capabilities information that have passed the integrity check, register them in the resource management database; Sensing resources include: devices, gateways, and communication protocols.

[0009] Optionally, step S4 includes: If an IoT sensing access workflow is built based on existing templates, the optimal template will be matched from the four types of standardized workflow templates. If a custom approach is adopted to build the IoT sensing access workflow, then each process node is manually configured based on sensing resources and business logic; Set up operating parameters and conditional rules for different process nodes in the IoT sensing access workflow.

[0010] Optionally, step S5 includes: Step S5.1: Select the target platform for executing the IoT sensing access workflow based on business needs; Step S5.2: Based on the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into a service request for the target platform to complete cross-platform data access; Step S5.3: Search and download data based on the device name or data access time.

[0011] An electronic device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to perform an IoT sensing access method based on an ontology model.

[0012] A computer-readable storage medium storing instructions that, when executed, perform an IoT sensing access method based on an ontology model.

[0013] The beneficial effects of the technical solution provided in this application are: 1. Considering the inconsistency in the description standards of IoT sensing access processes, this invention proposes an IoT sensing access ontology model. This model employs a standardized ontology description language to clarify the core concepts and their interrelationships within the IoT sensing access process. It covers key elements such as devices, communication protocols, gateways, data storage, and security controls, providing a unified and standardized description method for IoT sensing access.

[0014] 2. Considering the cumbersome operation of the access process, this invention designs an IoT sensing access workflow construction method based on an ontology model, aiming to standardize and simplify the access process. This method relies on the standardized description of each key step in the access process using the aforementioned ontology model, mapping them to the workflow's structural framework, thereby achieving standardized and regulated management of the operation process. Simultaneously, drawing on the design principles of the MVC model, an efficient workflow construction method is proposed, enabling users to quickly build and flexibly modify the access process, improving construction efficiency.

[0015] 3. Considering the poor cross-platform compatibility of IoT sensing access processes, this invention designs and develops an IoT sensing access prototype system. This system integrates functions such as sensing resource management, workflow construction and mapping, and supports cross-platform interoperability for IoT sensing access. By parsing standardized IoT sensing access workflows, the system can convert access requirements into specific functional service requests for different platforms, achieving cross-platform access and stable operation. Attached Figure Description

[0016] The present application will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart of an embodiment of this application; Figure 2 This refers to the IoT sensing access ontology model constructed in this embodiment of the invention; Figure 3 This is a schematic diagram illustrating the mapping relationship between the ontology model and the workflow in an embodiment of the present invention. Figure 4 This is a schematic diagram of the IoT sensing access workflow in an embodiment of the present invention; Figure 5 This is a schematic diagram of gateway registration in an embodiment of the present invention; Figure 6This is a schematic diagram of the device management interface in an embodiment of the present invention; Figure 7 This is a schematic diagram of the IoT sensing access workflow construction interface in an embodiment of the present invention; Figure 8 This is a schematic diagram of parameter configuration during the construction of the IoT sensing access workflow in an embodiment of the present invention; Figure 9 This is a schematic diagram illustrating the mapping relationship between workflow and service requests from different platforms in an embodiment of the present invention. Figure 10 This is a schematic diagram illustrating the result of IoT sensing data access in an embodiment of the present invention; Figure 11 This is a schematic diagram of data retrieval in an embodiment of the present invention; Figure 12 This is a schematic diagram of the electronic device structure in the embodiments of this application. Detailed Implementation

[0017] To provide a clearer understanding of the technical features, objectives, and effects of this application, the specific embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0018] The embodiments of this application provide an IoT sensing access method based on an ontology model.

[0019] Please refer to Figure 1 , Figure 1 This is a flowchart of an IoT sensing access method based on an ontology model, as described in an embodiment of this application, including: Step S1: Define the core concepts and their dependencies in the IoT sensing access process using a standardized ontology description language, and construct an IoT sensing access ontology model; Step S2: Generate a unified workflow structure based on the IoT sensing access ontology model mapping, and establish four types of standardized workflow templates; Step S3: Register the sensing resources involved in the IoT sensing access process; Step S4: Based on the four types of standardized workflow templates and sensing resources, construct a standardized IoT sensing access workflow; Step S5: Through the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into service requests for different platforms, enabling cross-platform access of IoT sensing devices.

[0020] Step S1 includes: Step S1.1: Analyze the IoT sensing access architecture and extract devices, gateways, and communication protocols as core concepts; Step S1.2: Classify the core concepts in multiple dimensions and clarify their dependencies; Step S1.3: Define the core concepts and their attributes after classification to eliminate semantic ambiguity between heterogeneous devices; Step S1.4: Based on the core concepts, attributes and dependencies, construct the IoT sensing access ontology model and perform semantic consistency verification, and use OWL language for standardized description.

[0021] As one implementation example, an in-depth analysis of the IoT sensing access architecture, its resource entities, and functional use cases is conducted, extracting core concepts such as devices, gateways, and communication protocols to lay the foundation for subsequent modeling. Given the complex and variable nature of the IoT sensing access process, a scientific and reasonable classification principle is established to categorize the acquired core concepts in multiple dimensions, while clarifying their dependencies. The categorized core concepts and their attributes are clearly defined, revealing the key characteristics of the IoT sensing access process and providing a basis for eliminating semantic ambiguities between heterogeneous devices. Based on the above work, an IoT sensing access ontology model is constructed, its semantic consistency is checked, and it is standardized and described using the OWL language.

[0022] Step S2 includes: Step S2.1: Analyze the IoT sensing access ontology model, establish the semantic mapping relationship between concepts and process nodes, and complete the design of the workflow structure; Step S2.2: Based on the workflow structure and the preset application scenarios, design four types of workflow templates and use OWL language for formal semantic description.

[0023] As one implementation example, by parsing the IoT sensing access ontology model, a semantic mapping relationship between concepts and process nodes is established, enabling the structural design and standardized construction of the workflow. Based on the determined workflow structure and common application scenarios of IoT sensing access, four types of workflow templates are designed and proposed, and formalized and standardized semantic descriptions are achieved using the OWL language.

[0024] Step S3 includes: Step S3.1: Collect the physical attributes and capabilities information of the sensing resources to be registered; Step S3.2: Perform a completeness check on the collected physical attribute and capability information; Step S3.3: After assigning a unique identifier to the physical attributes and capabilities information that have passed the integrity check, register them in the resource management database; Sensing resources include: devices, gateways, and communication protocols.

[0025] As one implementation, information on IoT sensing resources that need to be registered is collected, including the physical attributes and capabilities of sensors, gateways, etc. The collected sensing resource information is then checked for completeness to ensure there are no omissions, errors, or duplicate entries. Sensing resources that have been verified and assigned unique identifiers are registered in the resource management database.

[0026] Step S4 includes: If an IoT sensing access workflow is built based on existing templates, the optimal template will be matched from the four types of standardized workflow templates. If a custom approach is adopted to build the IoT sensing access workflow, then each process node is manually configured based on sensing resources and business logic; Set up operating parameters and conditional rules for different process nodes in the IoT sensing access workflow.

[0027] As one example, the workflow construction method is determined based on specific business needs. This can be done by selecting from existing templates or by custom configuration. If a template-based workflow is chosen, the most suitable data processing template for the current business needs to be selected from the provided template library to enable rapid workflow configuration and reuse. If a custom configuration is used, each step in the workflow needs to be manually configured according to the actual business logic.

[0028] Step S5 includes: Step S5.1: Select the target platform for executing the IoT sensing access workflow based on business needs; Step S5.2: Based on the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into a service request for the target platform to complete cross-platform data access; Step S5.3: Search and download data based on the device name or data access time.

[0029] As one example, before implementing cross-platform workflows, it is essential to first confirm that all services required by the target platform have been correctly deployed. The platform from the existing pool of platforms for executing the workflow is selected, and the most suitable platform is determined based on specific business needs. The system then adapts services to different platforms according to the workflow's mapping relationships and adaptation mechanisms, thereby enabling cross-platform access to data from IoT sensing devices. Finally, the required data can be retrieved and downloaded based on device name and data access time.

[0030] In one embodiment, Figure 2 This refers to the IoT sensing access ontology model constructed in this embodiment of the invention; Figure 3 This is a schematic diagram illustrating the mapping relationship between the ontology model and the workflow in an embodiment of the present invention. Figure 4 This is a schematic diagram of the IoT sensing access workflow in an embodiment of the present invention; Figure 5 This is a schematic diagram of gateway registration in an embodiment of the present invention; Figure 6 This is a schematic diagram of the device management interface in an embodiment of the present invention; Figure 7 This is a schematic diagram of the IoT sensing access workflow construction interface in an embodiment of the present invention; Figure 8 This is a schematic diagram of parameter configuration during the construction of the IoT sensing access workflow in an embodiment of the present invention; Figure 9 This is a schematic diagram illustrating the mapping relationship between workflow and service requests from different platforms in an embodiment of the present invention. Figure 10 This is a schematic diagram illustrating the result of IoT sensing data access in an embodiment of the present invention; Figure 11 This is a schematic diagram of data retrieval in an embodiment of the present invention.

[0031] This application also discloses an electronic device. (See reference...) Figure 12 , Figure 12 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, and at least one communication bus 502.

[0032] The communication bus 502 is used to enable communication between these components.

[0033] The user interface 503 may include a display screen, and optionally, the user interface 503 may also include a standard wired interface or a wireless interface.

[0034] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0035] This application also discloses a computer-readable storage medium storing multiple instructions adapted for loading by a processor to execute the above-described ontology-based IoT sensing access method.

[0036] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure.

[0037] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. An IoT sensing access method based on an ontology model, characterized in that, The method includes the following steps: Step S1: Define the core concepts and their dependencies in the IoT sensing access process using a standardized ontology description language, and construct an IoT sensing access ontology model; Step S2: Generate a unified workflow structure based on the IoT sensing access ontology model mapping, and establish four types of standardized workflow templates; Step S3: Register the sensing resources involved in the IoT sensing access process; Step S4: Based on the four types of standardized workflow templates and sensing resources, construct a standardized IoT sensing access workflow; Step S5: Through the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into service requests for different platforms, enabling cross-platform access of IoT sensing devices.

2. The IoT sensing access method based on an ontology model as described in claim 1, characterized in that, Step S1 includes: Step S1.1: Analyze the IoT sensing access architecture and extract devices, gateways, and communication protocols as core concepts; Step S1.2: Classify the core concepts in multiple dimensions and clarify their dependencies; Step S1.3: Define the core concepts and their attributes after classification to eliminate semantic ambiguity between heterogeneous devices; Step S1.4: Based on the core concepts, attributes and dependencies, construct the IoT sensing access ontology model and perform semantic consistency verification, and use OWL language for standardized description.

3. The IoT sensing access method based on an ontology model as described in claim 1, characterized in that, Step S2 includes: Step S2.1: Analyze the IoT sensing access ontology model, establish the semantic mapping relationship between concepts and process nodes, and complete the design of the workflow structure; Step S2.2: Based on the workflow structure and the preset application scenarios, design four types of workflow templates and use OWL language for formal semantic description.

4. The IoT sensing access method based on an ontology model as described in claim 1, characterized in that, Step S3 includes: Step S3.1: Collect the physical attributes and capabilities information of the sensing resources to be registered; Step S3.2: Perform a completeness check on the collected physical attribute and capability information; Step S3.3: After assigning a unique identifier to the physical attributes and capabilities information that have passed the integrity check, register them in the resource management database; Sensing resources include: devices, gateways, and communication protocols.

5. The IoT sensing access method based on an ontology model as described in claim 1, characterized in that, Step S4 includes: If an IoT sensing access workflow is built based on existing templates, the optimal template will be matched from the four types of standardized workflow templates. If a custom approach is adopted to build the IoT sensing access workflow, then each process node is manually configured based on sensing resources and business logic; Set up operating parameters and conditional rules for different process nodes in the IoT sensing access workflow.

6. The IoT sensing access method based on an ontology model as described in claim 1, characterized in that, Step S5 includes: Step S5.1: Select the target platform for executing the IoT sensing access workflow based on business needs; Step S5.2: Based on the workflow mapping mechanism, the standardized IoT sensing access workflow is converted into a service request for the target platform to complete cross-platform data access; Step S5.3: Search and download data based on the device name or data access time.

7. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to perform the IoT sensing access method based on the ontology model as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, which, when executed by a computer, perform the IoT sensing access method based on an ontology model as described in any one of claims 1-6.

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