A multi-domain coordination and intelligent management and control architecture subsystem interaction method

Abstract

This invention relates to the field of system interaction engineering technology and discloses a method for subsystem interaction in a multi-domain collaborative and intelligent management architecture. The method includes the following steps: establishing unified interaction standards, building a middleware platform, and optimizing data interaction processes. This invention achieves seamless integration and efficient collaboration: by establishing unified interaction standards, it breaks down barriers in data formats, communication protocols, and interfaces between subsystems. Subsystems can be easily assembled like building blocks, achieving seamless integration and smooth information transmission, greatly improving collaboration efficiency. For example, in a large-scale event security system, multiple subsystems such as security, logistics, and command work closely together to quickly respond to emergencies. Intelligent dynamic management: the intelligent management middleware monitors the system's operating status in real time and dynamically adjusts subsystem interaction strategies. Under different load scenarios, it ensures priority processing of critical business operations, optimizes resource allocation, avoids system congestion and crashes, and improves system stability and reliability.

Description

Technical Field

[0001] This invention relates to the field of system interaction engineering technology, specifically to a method for interaction of subsystems in a multi-domain collaborative and intelligent management architecture. Background Technology

[0002] In today's era of rapid digital and information technology development, various complex systems encompass multiple different fields. For example, intelligent transportation systems involve roads, vehicles, pedestrians, traffic signals, and other areas; the Industrial Internet of Things (IIoT) covers different fields corresponding to multiple links such as production equipment, logistics, energy, and quality monitoring. In order to achieve efficient overall operation, these systems need to build a multi-domain collaborative and intelligent management and control architecture.

[0003] Traditional system architectures often result in isolated subsystems operating in isolation when facing multi-domain scenarios, lacking effective interaction mechanisms. For example, in urban emergency management systems, subsystems in different fields such as fire protection, medical care, and public security operate independently. When a sudden fire occurs, fire monitoring information from the fire department cannot be transmitted to the medical and public security departments in a timely and accurate manner. This leads to medical rescue forces being unable to prepare in advance, and the public security department being unable to quickly plan traffic control schemes, causing rescue delays, chaotic resource allocation, and failing to maximize the overall effectiveness of the system.

[0004] Different subsystems are typically developed by different vendors, using different data formats, communication protocols, and interface standards, which makes data sharing and interaction extremely difficult. Taking a smart manufacturing workshop as an example, the production equipment management subsystem uses a proprietary binary data format to communicate with the equipment, while the quality inspection subsystem uses XML format to report data. It is difficult for the two to interface directly, requiring a lot of manpower and resources for format conversion and middleware development, which not only increases costs but also easily introduces data errors and reduces system reliability.

[0005] Moreover, as system complexity increases, real-time requirements become increasingly stringent. In smart grid systems, delays in the interaction between subsystems in power generation, transmission, and distribution can lead to voltage fluctuations, power imbalances, and even large-scale power outages, severely impacting social production and daily life. However, existing architectures lack intelligent and dynamic management strategies, failing to optimize subsystem interaction processes in real time based on system operating status, and thus struggling to meet the urgent needs of complex multi-domain systems for efficient collaboration and precise control. Summary of the Invention

[0006] (a) Technical problems to be solved

[0007] This invention aims to provide a method for interaction between subsystems in a multi-domain collaborative and intelligent management architecture, overcoming various drawbacks of subsystem interaction under existing architectures, achieving seamless connection, efficient data sharing, and intelligent dynamic collaboration between subsystems in different domains, and improving the overall operational efficiency of complex systems.

[0008] (II) Technical Solution

[0009] To achieve the above objectives, the present invention provides the following technical solution: a method for interaction of a multi-domain collaborative and intelligent management architecture subsystem, comprising the following steps:

[0010] Unified interaction standard development: Define a common data format covering structured, semi-structured, and unstructured data; establish a standard communication protocol stack, encapsulate custom application layer protocols on top of reliable network protocols, and specify message header, message body structure, and interaction flow; design a unified interface specification, including interface function definitions and interface calling methods, to adapt to different programming languages ​​and development platforms.

[0011] Middleware platform setup: Build a data conversion middleware to automatically identify and convert input data formats in real time; develop a communication proxy middleware to be responsible for underlying communication protocol adaptation, sending and receiving data packets and reverse parsing; set up an intelligent management and control middleware to collect subsystem operation status data in real time, judge the system health status through built-in data analysis models, and dynamically adjust the subsystem interaction strategy.

[0012] Data interaction process optimization: Subsystems encapsulate, send, receive, and parse data according to a unified interface specification. Intelligent control middleware monitors the entire process, adjusts interaction parameters based on the real-time operating status of subsystems, archives and stores interaction data periodically, and utilizes distributed storage technology to ensure data reliability.

[0013] Preferably, the structured data in the general data format adopts a relational database table structure, the semi-structured data is mainly in XML or JSON format, and the unstructured data supports common image and audio formats.

[0014] Preferably, the custom application layer protocol of the standard communication protocol stack adopts a request-response or publish-subscribe pattern, the message header contains key metadata such as source subsystem identifier, target subsystem identifier, message type, and timestamp, and the message body carries specific business data.

[0015] Preferably, the data conversion middleware utilizes template matching and machine learning algorithms to improve conversion accuracy and efficiency, while the intelligent management middleware uses a deep learning-based anomaly detection model to determine the system's health status.

[0016] Preferably, the periodic archiving and storage of interactive data is performed hourly, daily, or at other time intervals set according to system characteristics, using distributed storage technologies such as Ceph and GlusterFS.

[0017] Preferably, the intelligent management and control middleware prioritizes the processing of critical business data interactions and optimizes resource allocation when the system is busy. The critical business is predefined by the system administrator according to actual needs.

[0018] (III) Beneficial Effects

[0019] Compared with existing technologies, this invention provides an interaction method for a multi-domain collaborative and intelligent management architecture subsystem, which has the following beneficial effects:

[0020] 1. Seamless integration and efficient collaboration: By establishing unified interaction standards, the barriers between subsystems in terms of data format, communication protocol and interface are broken down. Subsystems can be easily assembled like "building blocks" to achieve seamless integration and smooth information transmission, which greatly improves collaboration efficiency. For example, in the security system of large-scale events, multiple subsystems such as security, logistics and command work closely together to respond quickly to emergencies.

[0021] 2. Intelligent dynamic management and control: The intelligent management and control middleware provides real-time insight into the system's operating status and dynamically adjusts the interaction strategies of subsystems. It can ensure the priority processing of critical business under different load scenarios, optimize resource allocation, avoid system congestion and crashes, and improve system stability and reliability. Taking the intelligent port operation system as an example, it can reasonably allocate equipment and manpower subsystem interaction processes according to the busyness of ship loading and unloading.

[0022] 3. Reduce development and maintenance costs: A unified middleware platform reduces a lot of custom development work required for data format conversion and communication adaptation, shortens the system integration cycle, and facilitates subsequent operation and maintenance management, such as troubleshooting and performance optimization. When a subsystem is upgraded, it can be quickly reconnected based on a unified interaction standard, saving manpower, material resources and financial resources.

[0023] 4. Data-driven optimization: Regularly archive and store interactive data to provide material for in-depth system analysis. By mining data correlations and trends, system bottlenecks and potential problems can be accurately identified, driving continuous system optimization and upgrades. For example, in a smart logistics system, the collaborative strategies of subsystems such as transportation route planning and warehouse scheduling can be optimized based on historical interactive data. Detailed Implementation

[0024] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Example 1:

[0026] A method for subsystem interaction in a multi-domain collaborative and intelligent management architecture includes the following steps: Unified interaction standard establishment: defining a common data format covering structured, semi-structured, and unstructured data; establishing a standard communication protocol stack, encapsulating a custom application layer protocol on top of a reliable network protocol, specifying message header, message body structure, and interaction flow; designing a unified interface specification, including interface function definitions and interface calling methods, adapting to different programming languages ​​and development platforms; Middleware platform construction: building a data conversion middleware to automatically identify and convert input data formats in real time; developing a communication proxy middleware responsible for underlying communication protocol adaptation, sending and receiving data packets, and reverse parsing; establishing an intelligent management middleware to collect subsystem operating status data in real time, judge system health status through a built-in data analysis model, and dynamically adjust subsystem interaction strategies; Data interaction process optimization: subsystems encapsulate, send, receive, and parse data according to the unified interface specification, with the intelligent management middleware monitoring the entire process, adjusting interaction parameters based on the real-time operating status of the subsystems, and periodically archiving and storing interaction data. The system utilizes distributed storage technology to ensure data reliability. Structured data in the general data format adopts a relational database table structure, semi-structured data primarily uses XML or JSON format, and unstructured data supports common image and audio formats. The custom application layer protocol of the standard communication protocol stack adopts a request-response or publish-subscribe pattern. The message header includes key metadata such as source subsystem identifier, target subsystem identifier, message type, and timestamp. The message body carries specific business data. The data conversion middleware uses template matching and machine learning algorithms to improve conversion accuracy and efficiency. The intelligent management middleware uses a deep learning-based anomaly detection model to determine system health. The periodic archiving and storage of interactive data occurs hourly, daily, or at other time intervals set according to system characteristics, employing distributed storage technologies such as Ceph and GlusterFS. The intelligent management middleware prioritizes critical business data interactions and optimizes resource allocation during system busy periods. Critical business processes are predefined by the system administrator based on actual needs.

[0027] In summary, this invention achieves seamless integration and efficient collaboration by breaking down data format, communication protocol, and interface barriers between subsystems through unified interaction standards. Subsystems can be easily assembled like building blocks, enabling seamless integration, smooth information transmission, and significantly improved collaboration efficiency. For example, in a large-scale event security system, multiple subsystems such as security, logistics, and command work closely together to quickly respond to emergencies. Intelligent dynamic management is also provided: the intelligent management middleware provides real-time insights into the system's operational status and dynamically adjusts subsystem interaction strategies. This ensures priority processing of critical business operations under different load scenarios, optimizes resource allocation, avoids system congestion and crashes, and improves system stability and reliability. Taking a smart port operation system as an example, it can adjust the system based on the busy loading and unloading schedules of ships. By rationally allocating equipment and manpower to subsystem interaction processes, development and maintenance costs are reduced: A unified middleware platform reduces a significant amount of customized development work required for data format conversion and communication adaptation, shortens the system integration cycle, and facilitates subsequent operation and maintenance management, such as troubleshooting and performance optimization. When a subsystem is upgraded, it can be quickly reconnected based on a unified interaction standard, saving manpower, material resources, and financial resources. Data-driven optimization: Regularly archive and store interaction data to provide material for in-depth system analysis. By mining data correlations and trends, system bottlenecks and potential problems can be accurately identified, driving continuous system optimization and upgrades. For example, in a smart logistics system, the collaborative strategies of subsystems such as transportation route planning and warehouse scheduling can be optimized based on historical interaction data.

[0028] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for interaction between a multi-domain collaborative and intelligent management and control architecture subsystem, characterized in that, Includes the following steps: Unified interaction standard development: Define a common data format covering structured, semi-structured, and unstructured data; establish a standard communication protocol stack, encapsulate custom application layer protocols on top of reliable network protocols, and specify message header, message body structure, and interaction flow; design a unified interface specification, including interface function definitions and interface calling methods, to adapt to different programming languages ​​and development platforms. Middleware platform setup: Build a data conversion middleware to automatically identify and convert input data formats in real time; develop a communication proxy middleware to be responsible for underlying communication protocol adaptation, sending and receiving data packets and reverse parsing; set up an intelligent management and control middleware to collect subsystem operation status data in real time, judge the system health status through built-in data analysis models, and dynamically adjust the subsystem interaction strategy. Data interaction process optimization: Subsystems encapsulate, send, receive, and parse data according to a unified interface specification. Intelligent control middleware monitors the entire process, adjusts interaction parameters based on the real-time operating status of subsystems, archives and stores interaction data periodically, and utilizes distributed storage technology to ensure data reliability.

2. The interaction method of a multi-domain collaborative and intelligent management architecture subsystem according to claim 1, characterized in that, The structured data in the general data format adopts a relational database table structure, the semi-structured data is mainly in XML or JSON format, and the unstructured data supports common image and audio formats.

3. The interaction method of a multi-domain collaborative and intelligent management architecture subsystem according to claim 1, characterized in that, The custom application layer protocol of the standard communication protocol stack adopts a request-response or publish-subscribe pattern. The message header contains key metadata such as source subsystem identifier, target subsystem identifier, message type, and timestamp, while the message body carries specific business data.

4. The interaction method of a multi-domain collaborative and intelligent management architecture subsystem according to claim 1, characterized in that, The data conversion middleware uses template matching and machine learning algorithms to improve conversion accuracy and efficiency, while the intelligent management middleware uses a deep learning-based anomaly detection model to determine the system's health status.

5. The interaction method of a multi-domain collaborative and intelligent management architecture subsystem according to claim 1, characterized in that, The periodic archiving and storage of interactive data is scheduled for an hourly, daily, or other time intervals set according to system characteristics, using distributed storage technologies such as Ceph and GlusterFS.

6. The interaction method of a multi-domain collaborative and intelligent management architecture subsystem according to claim 1, characterized in that, The intelligent management and control middleware prioritizes critical business data interaction and optimizes resource allocation when the system is busy. The critical business is predefined by the system administrator according to actual needs.