Micro-module data center cluster system of smart port

Abstract

A micro-module data center cluster system of an intelligent port comprises a three-dimensional frame cluster and a plurality of micro-module data center units, and the three-dimensional frame cluster is formed by three-dimensional frame systems of a plurality of double-layer micro-module data center units through connecting beams. The three-dimensional frame system of each double-layer micro-module data center unit comprises a multi-layer frame structure formed by connecting and assembling frame vertical columns and frame cross beams through bolts; each micro-module data center unit comprises a cabinet area, an air conditioner area, a cold channel, a hot channel, a port equipment internet of things, a port internet of things monitoring system, a port multi-source data fusion platform and a cluster monitoring management system. According to the invention, rapid deployment and elastic expansion are realized by adopting modular assembly, dynamic requirements of a port are perfectly matched, multi-source heterogeneous port service data are processed in a standardized manner through a built-in data fusion platform, a unified data basis is provided for intelligent decision making, and resource predictive scheduling and cross-domain fault linkage are realized.

Description

Technical Field

[0001] This invention relates to the field of smart port data center cluster technology, and in particular to a micro-module data center cluster system for smart ports. Background Technology

[0002] With the booming development of global trade, port operations are becoming increasingly complex, leading to a surge in demand for informatization and intelligentization. Smart ports rely on powerful data processing capabilities, requiring the deployment of high-performance, highly reliable data centers at or near the port to support real-time operations such as equipment automation, logistics tracking, and security monitoring. Micro-module data centers, due to their rapid deployment and flexible expansion, have become an ideal choice for port scenarios. However, directly applying traditional micro-module data centers to smart ports faces a series of challenges. For example, port business data sources are diverse and heterogeneous, including various types of data such as ship, cargo, equipment, and meteorological data. Existing micro-module data centers lack targeted multi-source data fusion processing capabilities and cannot provide a unified, standardized data view for intelligent port scheduling. At the equipment monitoring level, intelligent monitoring and maintenance of port equipment, as well as the power and environmental management of the data center itself, are crucial. For instance, patent application CN120768911A proposes an IoT-based distributed port machinery equipment fault monitoring method, which can detect and verify fault signs through multi-terminal collaboration. However, because these methods belong to different systems, they lack collaborative linkage and fail to deeply integrate with the automated operation and maintenance processes of the underlying data center infrastructure, resulting in coarse energy efficiency management, delayed fault response, and low operation and maintenance efficiency. Summary of the Invention

[0003] The present invention aims to address the shortcomings of the prior art and provide a micro-module data center cluster system for smart ports.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] A smart port micro-modular data center cluster system includes a three-dimensional frame cluster and multiple micro-modular data center units. The three-dimensional frame cluster is composed of multiple two-layer micro-modular data center unit three-dimensional frame systems connected by connecting beams. Each two-layer micro-modular data center unit's three-dimensional frame system includes a multi-layer frame structure assembled from frame columns and frame beams connected by bolts. Each of the multiple micro-modular data center units includes a server rack area, an air-conditioning area, cold aisles and hot aisles, a port equipment IoT system, a port IoT monitoring system, a port multi-source data fusion platform, and a cluster monitoring and management system.

[0006] The rack area contains at least two rows of main racks arranged side by side to house smart port information processing equipment.

[0007] The air conditioning area is arranged perpendicular to the main unit cabinet, and an integrated air conditioning terminal is installed in the air conditioning area;

[0008] Cold aisles and hot aisles are respectively set on both sides of each row of main unit cabinets and connected to the air-conditioning area. The cold aisles and hot aisles are respectively connected to the integrated air-conditioning terminals of the air-conditioning area to form a circulation of cold and hot air.

[0009] The port IoT monitoring system includes multiple information collection terminals deployed in the port area to collect images and sensor data of port electromechanical equipment;

[0010] The port multi-source data fusion platform includes a data standardization module, a dimensional modeling module, and a distributed storage module. The port multi-source data fusion platform is used to access business data from multiple differentiated ports.

[0011] The cluster monitoring and management system communicates with each micro-module data center unit, the port IoT monitoring system, and the port multi-source data fusion platform.

[0012] The floor of the cold aisle is a perforated floor, while the floor of the hot aisle is a closed floor. The integrated air conditioning terminal delivers cold air to the cold aisle through the lower and upper air supply cavities, and receives hot air from the hot aisle through the upper return air cavity and the side return air vents, forming a cold and hot air circulation.

[0013] The cluster monitoring and management system includes local host cabinets deployed in each micro-module data center unit and a central management server deployed at the cluster level or in the cloud. The local host cabinet is equipped with a data acquisition server, a touch screen and a network switch for the acquisition and local control of the power and environmental data of the unit. The central management server is connected to all local host cabinets, the port IoT monitoring system and the port multi-source data fusion platform through a communication network, and runs integrated management platform software for: (1) centralized monitoring and energy efficiency analysis of the power supply, temperature and humidity and air conditioning operation status of each unit in the cluster; (2) receiving and processing the review messages reported by the port IoT monitoring system, and performing fault warning and intelligent operation and maintenance scheduling; (3) based on the standardized port business data and operation plan obtained from the port multi-source data fusion platform, performing unified prediction and scheduling optimization of the cluster's computing, storage and cooling resources.

[0014] The data standardization module of the port multi-source data fusion platform is based on the ISO28005 standard to build a port data standard library and standardize multi-source heterogeneous port business data; the dimensional modeling module models the standardized data according to the dimensions of time, ships, cargo, cargo owners, and terminals to build a port fact table and a multi-dimensional data model; the distributed storage module uses the Hadoop distributed file system to store the fused multi-port data.

[0015] The cluster monitoring and management system is configured to execute a multi-dimensional data fusion method for differentiated ports. This method includes: collecting business data from multiple differentiated ports through Flume and Kafka data transmission channels.

[0016] Business data includes cargo data, ship data, port equipment operation data, port safety data, port operation data, port meteorological data, port environmental data, and production and economic data.

[0017] A port data standard library is constructed and periodically updated in accordance with the ISO28005 port data standard. The collected business data is standardized using the data standard library. ETL technology is used to match, associate, and model the standardized data to construct a port fact table and dimension tables including time, vessel, cargo, cargo owner, and terminal dimensions, forming a fused port data model. The fused data is stored in a Hadoop server cluster through the distributed file management system HDFS, and corresponding business support and visualization services are provided according to different user objects.

[0018] A method for operating a micro-modular data center cluster system for a smart port includes the following steps:

[0019] S1. Cluster Deployment: In the port planning area, multiple micro-module data center units are assembled into a three-dimensional frame system and quickly deployed into a cluster to form a data center cluster; at the same time, the information collection terminals and network of the port Internet of Things monitoring system are deployed.

[0020] S2. System Initialization: Start the port multi-source data fusion platform and load the data standard library; the cluster monitoring and management system performs registration, network discovery and initialization configuration of each subsystem;

[0021] S3. Unified monitoring and intelligent control: The port IoT monitoring system collects and aggregates power environment data, port equipment monitoring data and multi-port fusion data of the micro-module cluster in real time; based on preset strategies or artificial intelligence algorithms, it dynamically controls the air conditioning and refrigeration system in the cluster, and tracks and schedules the fault warning information reported by the port IoT monitoring system.

[0022] S4. Business Collaboration and Resource Scheduling: Based on the application requirements of port production operations, the cluster monitoring and management system dynamically allocates computing and storage resources among multiple micro-module units; low-latency monitoring services are processed through edge computing nodes; and port operation plans and equipment maintenance strategies are optimized based on the analysis results of the port multi-source data fusion platform.

[0023] S5. Emergency Response and Fault Recovery: When a micro-module data center unit in the cluster fails, or the fire alarm or port equipment IoT monitoring system reports a high-confidence fault, the cluster monitoring and management system automatically initiates the emergency process, migrates the affected IT business load to other healthy units, and coordinates with the fire protection system and port operation and maintenance personnel for handling.

[0024] The beneficial effects of this invention are as follows: This invention adopts modular assembly to achieve rapid deployment and elastic expansion, perfectly matching the dynamic needs of ports. Through the built-in data fusion platform, it standardizes the processing of multi-source heterogeneous port business data, effectively breaking down information silos and providing a unified data foundation for intelligent decision-making. The cluster monitoring system uniformly monitors infrastructure and port IoT data, realizing predictive resource scheduling and cross-domain fault linkage, improving the level of intelligent operation and maintenance. Through cluster redundancy and emergency mechanisms, it ensures business continuity and optimizes operation plans and decisions based on fused data, thereby improving the overall operational efficiency and safety of ports. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the system operation of the present invention.

[0026] The following will describe in detail, with reference to the accompanying drawings, embodiments of the invention. Detailed Implementation

[0027] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0028] A smart port micro-modular data center cluster system includes a three-dimensional frame cluster and multiple micro-modular data center units. The three-dimensional frame cluster is composed of multiple two-layer micro-modular data center unit three-dimensional frame systems connected by connecting beams. Each two-layer micro-modular data center unit's three-dimensional frame system includes a multi-layer frame structure assembled from frame columns and frame beams connected by bolts. Each of the multiple micro-modular data center units includes a server rack area, an air-conditioning area, cold aisles and hot aisles, a port equipment IoT system, a port IoT monitoring system, a port multi-source data fusion platform, and a cluster monitoring and management system.

[0029] The rack area contains at least two rows of main racks arranged side by side to house smart port information processing equipment.

[0030] The air conditioning area is arranged perpendicular to the main unit cabinet, and an integrated air conditioning terminal is installed in the air conditioning area;

[0031] Cold aisles and hot aisles are respectively set on both sides of each row of main unit cabinets and connected to the air-conditioning area. The cold aisles and hot aisles are respectively connected to the integrated air-conditioning terminals of the air-conditioning area to form a circulation of cold and hot air.

[0032] The port IoT monitoring system includes multiple information collection terminals deployed in the port area to collect images and sensor data of port electromechanical equipment;

[0033] The port multi-source data fusion platform includes a data standardization module, a dimensional modeling module, and a distributed storage module. The port multi-source data fusion platform is used to access business data from multiple differentiated ports.

[0034] The cluster monitoring and management system communicates with each micro-module data center unit, the port IoT monitoring system, and the port multi-source data fusion platform.

[0035] The floor of the cold aisle is a perforated floor, while the floor of the hot aisle is a closed floor. The integrated air conditioning terminal delivers cold air to the cold aisle through the lower and upper air supply cavities, and receives hot air from the hot aisle through the upper return air cavity and the side return air vents, forming a cold and hot air circulation.

[0036] The cluster monitoring and management system includes local host cabinets deployed in each micro-module data center unit and a central management server deployed at the cluster level or in the cloud. The local host cabinet is equipped with a data acquisition server, a touch screen and a network switch for the acquisition and local control of the power and environmental data of the unit. The central management server is connected to all local host cabinets, the port IoT monitoring system and the port multi-source data fusion platform through a communication network, and runs integrated management platform software for: (1) centralized monitoring and energy efficiency analysis of the power supply, temperature and humidity and air conditioning operation status of each unit in the cluster; (2) receiving and processing the review messages reported by the port IoT monitoring system, and performing fault warning and intelligent operation and maintenance scheduling; (3) based on the standardized port business data and operation plan obtained from the port multi-source data fusion platform, performing unified prediction and scheduling optimization of the cluster's computing, storage and cooling resources.

[0037] The data standardization module of the port multi-source data fusion platform is based on the ISO28005 standard to build a port data standard library and standardize multi-source heterogeneous port business data; the dimensional modeling module models the standardized data according to the dimensions of time, ships, cargo, cargo owners, and terminals to build a port fact table and a multi-dimensional data model; the distributed storage module uses the Hadoop distributed file system to store the fused multi-port data.

[0038] The cluster monitoring and management system is configured to execute a multi-dimensional data fusion method for differentiated ports. This method includes: collecting business data from multiple differentiated ports through Flume and Kafka data transmission channels.

[0039] Business data includes cargo data, ship data, port equipment operation data, port safety data, port operation data, port meteorological data, port environmental data, and production and economic data.

[0040] A port data standard library is constructed and periodically updated in accordance with the ISO28005 port data standard. The collected business data is standardized using the data standard library. ETL technology is used to match, associate, and model the standardized data to construct a port fact table and dimension tables including time, vessel, cargo, cargo owner, and terminal dimensions, forming a fused port data model. The fused data is stored in a Hadoop server cluster through the distributed file management system HDFS, and corresponding business support and visualization services are provided according to different user objects.

[0041] A method for operating a micro-modular data center cluster system for a smart port includes the following steps:

[0042] S1. Cluster Deployment: In the port planning area, multiple micro-module data center units are assembled into a three-dimensional frame system and quickly deployed into a cluster to form a data center cluster; at the same time, the information collection terminals and network of the port Internet of Things monitoring system are deployed.

[0043] S2. System Initialization: Start the port multi-source data fusion platform and load the data standard library; the cluster monitoring and management system performs registration, network discovery and initialization configuration of each subsystem;

[0044] S3. Unified monitoring and intelligent control: The port IoT monitoring system collects and aggregates power environment data, port equipment monitoring data and multi-port fusion data of the micro-module cluster in real time; based on preset strategies or artificial intelligence algorithms, it dynamically controls the air conditioning and refrigeration system in the cluster, and tracks and schedules the fault warning information reported by the port IoT monitoring system.

[0045] S4. Business Collaboration and Resource Scheduling: Based on the application requirements of port production operations, the cluster monitoring and management system dynamically allocates computing and storage resources among multiple micro-module units; low-latency monitoring services are processed through edge computing nodes; and port operation plans and equipment maintenance strategies are optimized based on the analysis results of the port multi-source data fusion platform.

[0046] S5. Emergency Response and Fault Recovery: When a micro-module data center unit in the cluster fails, or the fire alarm or port equipment IoT monitoring system reports a high-confidence fault, the cluster monitoring and management system automatically initiates the emergency process, migrates the affected IT business load to other healthy units, and coordinates with the fire protection system and port operation and maintenance personnel for handling.

[0047] In operation, this invention first establishes a system architecture: foundation treatment is carried out in the port planning area, and prefabricated frame columns, beams, and connecting beams are quickly assembled using high-strength bolts to form a three-dimensional frame cluster. This frame is designed as a double-layer structure to support subsequent micro-module units. The micro-module units are then installed by hoisting and fixing the prefabricated micro-module data center units into the three-dimensional frame. Each unit integrates a cabinet area, an air conditioning area, and enclosed cold / hot aisles. The smart port information processing equipment in the cabinet area has been pre-installed or installed according to the plan. Integrated air conditioning terminals are installed in the air conditioning area, with their air supply ducts connected to the lower air supply cavity below the cold aisle and the upper air supply cavity at the top. The return air duct is connected to the upper return air cavity at the top of the hot aisle and the side return air vents. An IoT sensing layer is deployed: information collection terminals are deployed at key locations in the port area, such as quay cranes, yard cranes, gates, storage yards, and roads, and data is transmitted to the network access layer of the data center cluster via industrial Ethernet or wireless networks.

[0048] In the data fusion platform, a port data standard library built based on the ISO28005 standard is initialized and loaded. Flume or Kafka data acquisition channels are configured to access data acquisition sources from different port business systems. The port IoT monitoring system, multi-source data fusion platform, and local host cabinets of each micro-module unit register with the central management server. The central management server automatically discovers the network nodes of all micro-module units, configures IP addresses and communication protocols, and establishes communication links within the cluster. Configure a data interface with the port's multi-source data fusion platform in the management platform to regularly acquire standardized port operation plans and equipment status data. Based on this data, configure the parameters of the resource prediction algorithm model so that the system can predict peak resource demand in advance, obtain analysis results from the fusion platform, and optimize port operation plans and equipment maintenance strategies, such as preemptively inspecting high-load equipment. Achieve precise matching between data center resources and port business needs, support intelligent decision-making through fused data, improve port operational efficiency, conduct operational energy efficiency analysis algorithms, identify inefficient links in the cooling system, and dynamically control the cooling system according to preset strategies, such as increasing the air conditioning frequency when the cabinet temperature exceeds 28°C, or using artificial intelligence algorithms. Process fault warning information reported by the port's IoT monitoring system, such as equipment abnormalities and fire alarms, trigger task scheduling, such as notifying maintenance personnel to investigate, to achieve real-time monitoring of data center infrastructure and port business, optimize energy consumption through intelligent control, and provide early warnings of faults.

[0049] When a hardware failure occurs in a single micro-module data center unit, such as server downtime, air conditioning failure, or a fire alarm within the micro-module data center unit, such as a smoke sensor triggering, or a high-confidence fault reported by the port IoT monitoring system, such as a predicted crane wire rope breakage, the cluster monitoring and management system automatically initiates emergency procedures. This involves migrating the IT business processes of the affected micro-module unit to other healthy units, and then coordinating with the fire protection system, such as activating the gas extinguishing device within the micro-module unit. The system also communicates with port operations and maintenance personnel, such as sending notifications about the fault location and priority. After the fault is recovered, the system automatically migrates the business load back to the original unit or adjusts the allocation according to resource availability, enabling rapid response in the event of a fault, minimizing business interruptions, and ensuring the continuity of critical port operations.

[0050] In the description of the invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention.

[0051] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of the invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0052] In this invention, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0053] The invention has been described above with reference to the accompanying drawings. Obviously, the specific implementation of the invention is not limited to the above-described manner. Any improvements made using the inventive concept and technical solution, or direct application to other situations without modification, are all within the scope of protection of the invention.

Claims

1. A micro-modular data center cluster system for a smart port, characterized in that, The system comprises a three-dimensional frame cluster and multiple micro-module data center units. The three-dimensional frame cluster is constructed from multiple two-layer micro-module data center units connected by tie beams. Each two-layer micro-module data center unit's three-dimensional frame system includes a multi-layer frame structure assembled from frame columns and frame beams connected by bolts. Each of the multiple micro-module data center units includes a server rack area, an air-conditioning area, cold aisles and hot aisles, a port equipment IoT system, a port IoT monitoring system, a port multi-source data fusion platform, and a cluster monitoring and management system. The rack area contains at least two rows of main racks arranged side by side to house smart port information processing equipment. The air conditioning area is arranged perpendicular to the main unit cabinet, and an integrated air conditioning terminal is installed in the air conditioning area; Cold aisles and hot aisles are respectively set on both sides of each row of main unit cabinets and connected to the air-conditioning area. The cold aisles and hot aisles are respectively connected to the integrated air-conditioning terminals of the air-conditioning area to form a circulation of cold and hot air. The port IoT monitoring system includes multiple information collection terminals deployed in the port area to collect images and sensor data of port electromechanical equipment; The port multi-source data fusion platform includes a data standardization module, a dimensional modeling module, and a distributed storage module. The port multi-source data fusion platform is used to access business data from multiple differentiated ports. The cluster monitoring and management system communicates with each micro-module data center unit, the port IoT monitoring system, and the port multi-source data fusion platform.

2. The micro-module data center cluster system for a smart port according to claim 1, characterized in that, The floor of the cold aisle is a perforated floor, while the floor of the hot aisle is a closed floor. The integrated air conditioning terminal delivers cold air to the cold aisle through the lower and upper air supply cavities, and receives hot air from the hot aisle through the upper return air cavity and the side return air vents, forming a cold and hot air circulation.

3. The micro-module data center cluster system for a smart port according to claim 2, characterized in that, The cluster monitoring and management system includes local host cabinets deployed in each micro-module data center unit and a central management server deployed at the cluster level or in the cloud. The local host cabinet is equipped with a data acquisition server, a touch screen and a network switch for the acquisition and local control of the power and environmental data of the unit. The central management server is connected to all local host cabinets, the port IoT monitoring system and the port multi-source data fusion platform through a communication network, and runs integrated management platform software for: (1) centralized monitoring and energy efficiency analysis of the power supply, temperature and humidity and air conditioning operation status of each unit in the cluster; (2) receiving and processing the review messages reported by the port IoT monitoring system, and performing fault warning and intelligent operation and maintenance scheduling; (3) based on the standardized port business data and operation plan obtained from the port multi-source data fusion platform, performing unified prediction and scheduling optimization of the cluster's computing, storage and cooling resources.

4. The micro-module data center cluster system for a smart port according to claim 3, characterized in that, The data standardization module of the port multi-source data fusion platform is based on the ISO28005 standard to build a port data standard library and standardize multi-source heterogeneous port business data; the dimensional modeling module models the standardized data according to the dimensions of time, ships, cargo, cargo owners, and terminals to build a port fact table and a multi-dimensional data model; the distributed storage module uses the Hadoop distributed file system to store the fused multi-port data.

5. A micro-module data center cluster system for a smart port according to claim 3, characterized in that, The cluster monitoring and management system is configured to execute a multi-dimensional data fusion method for differentiated ports. This method includes: collecting business data from multiple differentiated ports through Flume and Kafka data transmission channels. Business data includes cargo data, ship data, port equipment operation data, port safety data, port operation data, port meteorological data, port environmental data, and production and economic data. A port data standard library is constructed and periodically updated in accordance with the ISO28005 port data standard. The collected business data is standardized using the data standard library. ETL technology is used to match, associate, and model the standardized data to construct a port fact table and dimension tables including time, vessel, cargo, cargo owner, and terminal dimensions, forming a fused port data model. The fused data is stored in a Hadoop server cluster through the distributed file management system HDFS, and corresponding business support and visualization services are provided according to different user objects.

6. A method for operating a micro-module data center cluster system for a smart port according to any one of claims 1-5, characterized in that, Includes the following steps: S1. Cluster Deployment: In the port planning area, multiple micro-module data center units are spliced ​​into a three-dimensional frame system to form a cluster and quickly deployed in a modular way to form a data center cluster; at the same time, the information collection terminals and network of the port Internet of Things monitoring system are deployed. S2. System Initialization: Start the port multi-source data fusion platform and load the data standard library; The cluster monitoring and management system performs registration, network discovery, and initial configuration for each subsystem. S3. Unified monitoring and intelligent control: The port IoT monitoring system collects and aggregates power and environmental data, port equipment monitoring data and multi-port integrated data in real time from the micro-module cluster; Based on preset strategies or artificial intelligence algorithms, the air conditioning and refrigeration system within the cluster is dynamically controlled, and the fault warning information reported by the port IoT monitoring system is tracked and tasks are scheduled. S4. Business Collaboration and Resource Scheduling: Based on the application requirements of port production operations, the cluster monitoring and management system dynamically allocates computing and storage resources among multiple micro-module units; low-latency monitoring services are processed through edge computing nodes; and port operation plans and equipment maintenance strategies are optimized based on the analysis results of the port multi-source data fusion platform. S5. Emergency Response and Fault Recovery: When a micro-module data center unit in the cluster fails, or the fire alarm or port equipment IoT monitoring system reports a high-confidence fault, the cluster monitoring and management system automatically initiates the emergency process, migrates the affected IT business load to other healthy units, and coordinates with the fire protection system and port operation and maintenance personnel for handling.

Images