Intelligent equipment management system based on object model and data interaction method

Abstract

The invention relates to the technical field of object models, in particular to an intelligent equipment management system based on an object model, which comprises an object model definition and management module, an object model analysis and data conversion module, an equipment data interaction and cooperative control module and a user interface and equipment management function module, and further provides a data interaction method based on the object model. Comprising the following steps: S1, equipment event detection: detecting an equipment state in real time, and detecting the occurrence of an equipment event; and S2, event triggering and data interaction: triggering a corresponding data interaction process according to the detected equipment event, and sending a data interaction request or passing to related equipment. According to the intelligent equipment management system based on the object model, unified modeling and management can be conducted on various kinds of equipment, and efficient data exchange and cooperative work between the equipment can be achieved through a data interaction method based on the object model.

Description

Technical Field

[0001] The present invention relates to the technical field of physical models, and particularly to an intelligent device management system and a data interaction method based on a physical model. Background Art

[0002] In the era of the Internet of Things, there is a wide variety of devices that are widely distributed. The interconnection and data sharing between devices have become the key to realizing intelligent management.

[0003] Traditional device management systems often adopt device-specific communication protocols and data formats, resulting in poor compatibility between devices, difficult data interaction, and it is difficult to achieve unified management and collaborative work of devices. As a standardized device description and data interaction model, the physical model can provide a unified interface and data structure for devices, which is an effective way to solve the problems of device management. However, how to efficiently construct and apply the physical model to achieve intelligent management of devices and efficient data interaction is still an urgent problem to be solved. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an intelligent device management system based on a physical model and its manufacturing method, which solves the problems of efficiently constructing and applying the physical model to achieve intelligent management of devices and efficient data interaction.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] An intelligent device management system based on a physical model includes a physical model definition and management module, a physical model parsing and data conversion module, a device data interaction and collaborative control module, and a user interface and device management function module.

[0009] Furthermore, the physical model definition and management module is a standardized physical model for defining the attributes, states, events, and behaviors of devices.

[0010] On the basis of the foregoing solution, in the physical model parsing and data conversion module, in the device access system, the physical model parser parses the device physical model and converts the device original data into a standardized physical model data format.

[0011] Furthermore, the device data interaction and collaborative control module realizes real-time data exchange between devices through a message middleware and a data exchange protocol, and performs device collaborative control and optimizes and adjusts the visual interaction interface according to the physical model data.

[0012] Based on the foregoing solution, in the user interface and the device management function module, the user configures, monitors, and manages devices through the interface, and makes device management decisions and optimizations based on the device model data.

[0013] Furthermore, the user interface is a visual interaction interface that provides a three-dimensional space management dashboard to display the real-time location, operating status, and alarm information of devices, and supports drag-and-drop device grouping and linkage rule configuration; the device management is refined device management, integrating a data trend analysis panel to visually compare historical data with optimization effects. The refined device management is hierarchically controlled based on role permissions, restricting the operation ranges of different users for reading and writing device attributes and service calls, and realizing full life cycle management.

[0014] The present invention also proposes a data interaction method based on the device model. By identifying device events and triggering corresponding data interaction processes, active collaboration between devices and dynamic update of data are achieved. The interaction process includes the following steps:

[0015] S1: Device event detection: Real-time detect the device status and detect the occurrence of device events;

[0016] S2: Event trigger and data interaction: According to the detected device events, trigger the corresponding data interaction process, and send a data interaction request to relevant devices or pass through;

[0017] S3: Data interaction execution and feedback: Receive the corresponding data from the devices, execute the data interaction operation, and feedback the interaction result to the device or system that triggered the event;

[0018] S4: Device collaboration and status update: According to the data interaction result, achieve collaborative work between devices, update the device status and device model data, and maintain system consistency.

[0019] Based on the foregoing solution, in S2, the event response rule is configured to define the event trigger logic through a rule engine, support dynamic loading of rule chains to adapt to different scenarios, publish event topics using the MQTT protocol, the subscription end receives event notifications in real time, use cross-device data interaction requests, generate standardized data requests according to the service interfaces defined by the device model, adapt to heterogeneous device communication protocols through a protocol conversion middleware, and manage interaction requests based on a priority queue to ensure the priority transmission of critical instructions.

[0020] (III) Advantageous effects

[0021] Compared with the prior art, the present invention provides an intelligent device management system and a data interaction method based on the device model, having the following advantageous effects:

[0022] 1. The intelligent device management system and data interaction method of the present invention can provide significant advantages for enterprises in aspects such as unified management of devices, efficient data interaction, improvement of device collaboration efficiency and system performance, adaptation to complex application scenarios, enhancement of user experience, and improvement of system reliability and security.

[0023] 2. In the system of the present invention, through a standardized physical model, unified modeling and management of devices are achieved, improving device compatibility and manageability, simplifying device integration and deployment work. The data interaction method based on the physical model can achieve efficient data exchange and collaborative work between devices, improving device collaboration efficiency and the overall performance of the system.

[0024] 3. The system of the present invention has good scalability and flexibility, can adapt to different types of devices and complex application scenarios, supports dynamic access and management of devices, can make autonomous decisions and optimize control of devices based on physical model data, improving device operation efficiency and the intelligent level of the system. The system design also pays special attention to user experience, provides a friendly user interface and intuitive device management functions. Users can easily configure, monitor, and manage devices, improving user convenience and satisfaction. It can also achieve real-time monitoring and fault diagnosis of devices, timely discover and handle device anomalies, ensuring the stable operation of devices and the reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic structural flow diagram of an intelligent device management system based on a physical model proposed by the present invention;

[0026] Figure 2 It is a schematic flow structure diagram of a data interaction method based on a physical model proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0028] Embodiment 1

[0029] Refer to Figure 1 - Figure 2, An intelligent device management system based on a device model, including a device model definition and management module, a device model parsing and data conversion module, a device data interaction and collaborative control module, and a user interface and device management function module. The device model definition and management module defines a standardized device model for the attributes, states, events, and behaviors of devices. In the device model parsing and data conversion module, the device accesses the system, and the device model parser parses the device model and converts the original device data into a standardized device model data format. Through the standardized device model, unified modeling and management of devices are achieved, improving the compatibility and manageability of devices, simplifying the integration and deployment work of devices. The device data interaction and collaborative control module realizes real-time data exchange between devices through a message middleware and a data exchange protocol, and performs device collaborative control and optimization adjustment of the visualization interaction interface according to the device model data. The system of the present invention has good scalability and flexibility, can adapt to different types of devices and complex application scenarios, supports dynamic access and management of devices, can perform autonomous decision-making and optimization control of devices according to the device model data, improving the operation efficiency of devices and the intelligent level of the system. In the user interface and device management function module, the user configures, monitors, and manages devices through the interface, makes device management decisions and optimizations based on the device model data. The user interface is a visualization interaction interface, providing a three-dimensional space management dashboard to display the real-time position, operation status, and alarm information of devices, supporting drag-and-drop device grouping and linkage rule configuration. The device management is refined device management, integrating a data trend analysis panel to visually compare historical data with optimization effects. The refined device management is hierarchically controlled based on role permissions, restricting the operation ranges of different users for reading and writing device attributes and service calls, achieving full life cycle management. The design of the system also pays special attention to the user experience, providing a friendly user interface and intuitive device management functions. The user can easily configure, monitor, and manage devices, improving the user's convenience and satisfaction in use. It can also realize real-time monitoring and fault diagnosis of devices, promptly discover and handle device anomalies, and ensure the stable operation of devices and the reliability of the system.

[0030] The present invention also proposes a data interaction method based on a device model, which realizes active collaboration between devices and dynamic update of data by identifying device events and triggering corresponding data interaction processes. The interaction process includes the following steps:

[0031] S1: Device event detection: Continuously detect the device status and detect the occurrence of device events;

[0032] S2: Event triggering and data interaction: According to the detected device events, trigger the corresponding data interaction process and send a data interaction request to the relevant device or pass through;

[0033] S3: Data interaction execution and feedback, where the devices accept data and respond accordingly, execute data interaction operations, and feedback the interaction results to the device or system that triggers the event;

[0034] S4: Device collaboration and status update. According to the data interaction results, achieve collaborative work between devices, update the device status and the data of the physical model, and maintain system consistency. The data interaction method based on the physical model can achieve efficient data exchange and collaborative work between devices, improve the collaborative efficiency of devices and the overall performance of the system.

[0035] In particular, the event response rule in S2 is configured to define the event trigger logic through a rule engine, support dynamic loading of rule chains to adapt to different scenarios, publish event topics using the MQTT protocol, and the subscription end receives event notifications in real time. Use cross-device data interaction requests, generate standardized data requests according to the service interfaces defined by the physical model, adapt to heterogeneous device communication protocols through a protocol conversion middleware, and manage interaction requests based on a priority queue to ensure the priority transmission of critical instructions. The intelligent device management system and data interaction method of the present invention can achieve unified management of devices and efficient data interaction, improve device collaboration efficiency and system performance, adapt to complex application scenarios, enhance user experience, and enhance system reliability and security, etc., providing significant advantages and beneficial effects for enterprises in multiple aspects.

[0036] Embodiment 2

[0037] Refer to Figure 1 - Figure 2, An intelligent device management system based on a device model, including a device model definition and management module, a device model parsing and data conversion module, a device data interaction and collaborative control module, and a user interface and device management function module. Through the device model definition and management module, a standardized device model for device attributes, status, events, and behaviors is defined. Through the standardized device model, unified modeling and management of devices are achieved, improving device compatibility and manageability, and simplifying device integration and deployment work. Through the device model parsing and data conversion module, devices are connected to the system. The device model parser parses the device model and converts the original device data into a standardized device model data format. Through the device data interaction and collaborative control module, a message middleware and a data exchange protocol are used to achieve real-time data exchange between devices, and device collaborative control and optimization adjustment visualization interaction interfaces are performed based on the device model data. Through the user interface and device management function module, users can configure, monitor, and manage devices through the interface, make device management decisions and optimizations based on the device model data. The system of the present invention has good scalability and flexibility, can adapt to different types of devices and complex application scenarios, supports dynamic access and management of devices, can perform autonomous decision-making and optimization control of devices based on the device model data, improve the operation efficiency of devices and the intelligent level of the system. The user interface is a visualization interaction interface, providing a three-dimensional space management dashboard to display the real-time location, operation status, and alarm information of devices, supporting drag-and-drop device grouping and linkage rule configuration. Device management is refined device management, integrating a data trend analysis panel to visually compare historical data and optimization effects. Refined device management is based on role-based permission hierarchical control to limit the operation scope of different users for reading and writing device attributes and service calls, achieving full-life cycle management. The design of the system also pays special attention to the user experience, providing a friendly user interface and intuitive device management functions. Users can easily configure, monitor, and manage devices, improving the user's convenience and satisfaction in use, and can also achieve real-time monitoring and fault diagnosis of devices, timely discover and handle device anomalies, and ensure the stable operation of devices and the reliability of the system.

[0038] The present invention also proposes a data interaction method based on a device model. By identifying device events and triggering corresponding data interaction processes, active collaboration between devices and dynamic update of data are achieved. The interaction process includes the following steps:

[0039] S1: Device event detection: Continuously detect the device status to detect the occurrence of device events;

[0040] S2: Event Triggering and Data Interaction. Based on the detected device events, corresponding data interaction processes are triggered, and data interaction requests are sent to relevant devices or passed through. The event response rules are configured to define event triggering logic through a rules engine, supporting dynamic loading of rule chains to adapt to different scenarios. The MQTT protocol is used to publish event topics, and the subscription end receives event notifications in real time. Cross-device data interaction requests are adopted. Standardized data requests are generated according to the service interfaces defined in the device model. The heterogeneous device communication protocols are adapted through a protocol conversion middleware. The interaction requests are managed based on a priority queue to ensure the priority transmission of critical instructions;

[0041] S3: Data Interaction Execution and Feedback. Receive the data responses from devices, execute data interaction operations, and feedback the interaction results to the devices or systems that triggered the events;

[0042] S4: Device Collaboration and Status Update. Based on the data interaction results, realize the collaborative work between devices, update the device status and device model data, and maintain system consistency. The intelligent device management system and data interaction method of the present invention can achieve unified management of devices and efficient data interaction, improve device collaboration efficiency and system performance, adapt to complex application scenarios, enhance user experience, and enhance system reliability and security, etc., providing significant advantages and beneficial effects for enterprises in multiple aspects.

[0043] In the description of this article, it should be noted that relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

Claims

1. An intelligent device management system based on a physical model, characterized in that It includes an object model definition and management module, an object model parsing and data conversion module, a device data interaction and collaborative control module, and a user interface and device management function module.

2. The intelligent device management system based on the object model according to claim 1, characterized in that The object model definition and management module is a standardized object model that defines the attributes, states, events, and behaviors of devices.

3. An intelligent device management system based on a physical model according to claim 2, characterized in that, In the object model parsing and data conversion module, in the device access system, the object model parser parses the device object model and converts the original device data into a standardized object model data format.

4. An intelligent device management system based on a physical model according to claim 3, characterized in that, The device data interaction and collaborative control module realizes real-time data exchange between devices through a message middleware and a data exchange protocol, and performs device collaborative control and optimizes and adjusts the visualization interaction interface according to the object model data.

5. An intelligent device management system based on a physical model according to claim 4, characterized in that, In the user interface and device management function module, the user configures, monitors, and manages devices through the interface, and makes device management decisions and optimizations based on the object model data.

6. The intelligent device management system based on a physical model according to claim 5, characterized in that The user interface is a visualization interaction interface that provides a three-dimensional space management dashboard, displays the real-time location, operating status, and alarm information of devices, and supports drag-and-drop device grouping and linkage rule configuration; Device management is refined device management, integrating a data trend analysis panel, visualizing the comparison of historical data and optimization effects. Refined device management is hierarchically controlled based on role permissions, restricting the operation ranges of different users for reading and writing device attributes and service calls, and realizing full-life-cycle management.

7. A data interaction method based on a physical model, characterized in that, By identifying device events and triggering corresponding data interaction processes, active collaboration between devices and dynamic update of data are realized, and the interaction process.

8. The data interaction method based on the object model according to claim 7, characterized in that, It includes the following steps: S1: Device event detection: Real-time detect the device status and detect the occurrence of device events; S2: Event triggering and data interaction. According to the detected device events, trigger the corresponding data interaction process, and send a data interaction request to the relevant device or pass through; S3: Data interaction execution and feedback. Receive the mutual response of the device's data, execute the data interaction operation, and feedback the interaction result to the device or system that triggered the event; S4: Device collaboration and status update. According to the data interaction result, realize the collaborative work between devices, update the device status and object model data, and maintain the system consistency.

9. A data interaction method based on an object model according to claim 8, characterized in that, The event response rule configuration in S2 is to define the event triggering logic through a rule engine, support dynamic loading of rule chains to adapt to different scenarios, publish event topics using the MQTT protocol, the subscriber receives event notifications in real time, use cross-device data interaction requests, generate standardized data requests according to the service interfaces defined by the object model, adapt to heterogeneous device communication protocols through a protocol conversion middleware, and manage interaction requests based on a priority queue to ensure the priority transmission of key instructions.

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