AN-G/4i type intelligent gateway

I. Project Background and Core Challenges

The digital upgrade of large-scale intelligent power distribution projects (such as lδarge factories, data centers, commercial complexes, hospit als, rail transit, etc.) hinges on the collection, interactio★n and intelligent application of massive data within the power distrib∏ution system. Such projects far exceed the scope of traditional energy consumption monitoring¥ and impose higher and more complex requirements on data gateways:

1. Ultimate complexity

Massive number of monitoring points: Tens of thousands of monitoring points need to be connect"ed, including medium-voltage integrated protection, low-voltage feederλs, intelligent circuit breakers, transformer temperature contΩrollers, reactive power compensation devices, ATS switches, UPS power su★pplies, etc.

Complex protocols: The equipment brands vary, and there are dozens of communication protocols☆, such as IEC 61850 (GOOSE/MSV), Modbus TCP/RTU, IEC 104, DL/T645, Profibus, DNP3.0, etc.

Diverse interfaces: The device interfaces include Ethernet, RS-485, RS-232, optical ★fiber, etc. The gateway is required to have rich physical interfaces and flexible adaptation cβapabilities.

2. Stringent engineering implementation requirements

The project implementation period is long and the on-site commission£ing work is arduous. The traditional configuration method requires technicians εto manually map the addresses of each device and each data point, which is inefficient£ and prone to errors.

3. Diversified data consumption demands:

Under the architecture of the industrial Internet, the↑ collected data no longer serves only a single system. Data needs to be provided →to multiple systems simultaneously, for example:

Local SCADA system: For real-time monitoring and alerting.

Cloud energy efficiency management platform: For big data analysis and energy-saving optimization.

Operation and Maintenance Management Platform (MRO) : Used for predictive maintenance and work order management.

The superior dispatching center: Upload data through power protocols such as IEC 104.

Ii. Solution and Core Value of the AN-G/4i Intelliγgent Gateway

The AN-G/4i intelligent gateway provides a system-level solution to the above challe‌nges. Its core value lies in engineering friendliness and multi-ch↑annel data distribution capabilities.

1. Object Model-driven - Revolutionary Engineering Efficiency Enhancement (Solving ♥configuration Complexity Issues)

The pain points of the traditional approach: Engineers have to deal with cold register addresses (such as "4☆0001"), data types, and scaling ratios. The configuration process is like programming, du≠ll and prone to errors.

The solution of AN-G/4i: Its configuration tool introduces the concept of "object model".

Abstraction and Encapsulation: It abstracts the complex protocols and register addresses of physical devσices into individual "attribute points" with clear business meanin≠gs, such as "switch status", "A-phase current", "active power", "frequency", etc. These attri₹bute points combined together form the "object model" of ₩a device.

Immediate access: When engineers are debugging on site, they no longer need to remember or look up the address tabl>e. Just select "High-voltage Circuit Breaker" from the list, and check the required attrib"ute points such as "Switch status" and "Protection Alarm" to comple→te the data point configuration.

Greatly simplify the process: This significantly lowers the technical threshold, enabling electrical <engineers rather than software engineers to quickly comφplete data access work. The debugging time has been shortened from the↓ "day" level to the "hour" level, significantly reσducing the human and time costs of project implementation.

2. Powerful multi-master parallel processing capability (solving the problem of diversified© data distribution)

Core function: The AN-G/4i does not simply copy data multiple times; instead, it is equipped with multiple iπndependent data processing and data channel engines.

Working mode

1. Unified collection: The gateway polls and collects data from all downstream devices at high¶ speed and efficiency within milliseconds, forming a unified and comprehensive real-time da★ta pool locally.

2. Independent distribution: For each master station that needs to be uploaded (such as SCADA, cloud platform, dispatch center)↕, the gateway can be independently configured:

Data point table: Select the data points that different master stations care about (for example, only upload "total a ctive power" to the dispatching center, and upload all detailed data to the cl•oud platform).

Communication protocol: Configure different uplink protocols for each master station (such as sending ModΩbus TCP to SCADA, MQTT to the cloud platform, and I↓EC 104 to the dispatching center).

Reporting frequency: Set different data update cycles for each master station.

Core advantage

Millisecond-level synchronization: All the data obtained by the master stations come from the same re‌al-time data pool of the gateway, ensuring the consistency and synchronizatiγon of the data within milliseconds and avoiding the pr oblem of data inconsistency caused by the time difference in collection.

Reduce equipment pressure: The lower-end equipment only needs to respond to one cust omer's collection request from the gateway, avoiding problems such as excessive load and  communication blockage caused by being polled by multiple upper-level systeσms.

Network and security isolation: The gateway becomes the sole data exit, facilitating the deployment of security polici↑es at the network boundary and achieving security isolation between difφferent systems.

Iii. Description of Typical Application Case Scenarios

Case: An intelligent power distribution system for a large da↕ta center

Project Overview: The power distribution system of this data center inc ludes dozens of 10kV medium-voltage switch cabinets, over a hundred low-voltage distributiδon cabinets, as well as a large number of row head cabinets, UPS and precision air cλonditioners. The data needs to be connected to the local environmental monitoring system Ωand the headquarters' cloud energy efficiency platform, and it also needs to communicate with th±e power grid company's dispatching in accordance with the IEC 104 protocol.

Implementation process

1. Equipment access: Deploy multiple AN-G/4i gateways in the transformer and distribu<tion room, connect to the medium-voltage integrated protection equipmen♦t (IEC 61850) via Ethernet, and connect to the low-voltage intelligent meter (Modbus R€TU) via the RS-485 bus.

2. Object model configuration: Engineers use configuration software to directly retrieveε object model templates such as "Schneider Integrated Protection" and "ABB Instrume<nts" from the driver library, and quickly complete  the configuration of hundreds or even thousands of d'ata points by checking them.

3. Multi-master site Settings：

Master Station 1 (local environmental monitoring) : Configured as a Modbus TCP slave station, it provides all real-time data with a cycle of 500‍ms.

Main Station 2 (Headquarters Cloud Platform) : Configured as an MQTT client, it uploads key energy consumption and± status data, with a cycle of 5 seconds.

Master Station 3 (Power Grid Dispatching) : Configured as an IEC 104 slave station, strictly upload the data required for dispatc♥hing such as "total active power", "total reactive power", and "power factor" in accordance with ±the specification requirements, with a cycle of 2 seconds.

Project achievements：

Implementation efficiency: The debugging work that originally required several person-months was signifi>cantly shortened with the assistance of the physical model, and the project was delivered a♠head of schedule.

System stability: As the sole data source, the gateway has a clear and st☆able architecture, and the communication load on the lower-end devices is low.

Data consistency: All real-time data seen by upper-level systems are fullyγ synchronized, providing a solid foundation for data-based interlocking control and∏ energy efficiency analysis.

Future expansion: When a new operation and maintenance platform needs to be added, there is no &need to modify the lower-end collection configuration. Just add a master station channel on the' gateway. The scalability is extremely strong.

In large-scale intelligent power distribution projects, the AN-G/4i type intelligen't gateway of Ailuo Technology has transcended the sco∞pe of traditional data gateways and evolved into AN intelligent edge computing nodΩe and data routing and dispatching center.

Through the "object model", it has greatly enhanced t he convenience and efficiency of engineering implementation, and is✔ a key tool for the rapid landing of projects and cost reduction.☆

Through "multi-master station parallel processing", it efficiently addresses the c&ore demand for diversified data distribution in the era of in±dustrial Internet, ensuring data consistency and sys↕tem stability, and serves as the nerve center for building a digital power distribution£ system.

This product perfectly meets the comprehensive requirements of large-scale  intelligent power distribution projects for high-efficiency implementation, high-re±liability operation, and high-flexibility expansion. It is an indispensable core component in ♥modern intelligent power distribution and industrial Inter₩net of Things solutions.