AN-G/4 type intelligent gateway

I. Project Background and Industry Pain Points

The Chinese government attaches great importance to® energy conservation and emission reduction. It requires key energy-consuming units to ↕be connected to the "provincial or national online Energy Coβnsumption Monitoring System for Key Energy-consumi∑ng Units" to achieve real-time, accurate and comprehe←nsive upload and supervision of energy consumption data.

In such projects, the core challenges that enterprises© face include:

1. High heterogeneity of equipment: There are numerous brands and diverse models of energy consumption meter♦ing devices within the factory area, including variou¶s smart electricity meters, water meters, gas meters, heat met≤ers, flow meters, etc., with different communication protocols (such as 'Modbus, DL/T645, CJ/T188, OPC UA, etc.).

2. Complex deployment environment: The geographical locations of metering points are scattered, covering the entire facto¶ry area or even multiple branch factories, involving workshops, distribution rooms, boπiler rooms, office buildings, etc. The deployment of wired networks is difficult, and‍ it is hard to lay wires in some areas.

3. Large volume of data and complex processing logic: Thousands of data points need to be collected, and preliminary summary, statistics§ and advanced operations (such as converting standard coal and carbon emission accounting) need≠ to be carried out locally, which requires high data processing and c±omputing capabilities of the gateway.

4. Strict connection requirements: There are specific technical specifications for the connection of provincial and munic•ipal platforms (such as the "NHJC-2018 Energy Consumption Online Monitoring System" standard ), which requires data to be uploaded in a specific format and encrypted through a securitδy isolation device, with a high implementation threshold.

Ii. Core Roles and Solutions of the AN-G/4 Intelligent Gateway

The AN-G/4 intelligent gateway is precisely designed as the "edge computing co¥re" and "data hub" to address the aforementioned pain point¶s. It plays a crucial role in connecting the upper and lower parts of the sysδtem:

Downward: Connect all the complex energy metering devices within the facto≈ry.

Upward: Connect to the provincial/national online energy consumption monεitoring platform.

Locally: Perform data aggregation, cleaning, computing and caching.

The detailed description of its solution is as follows:

1. Strong device access and protocol parsing capabilities (solving devic♥e heterogeneity issues)

Multi-protocol compatibility: The AN-G/4 is equipped with a rich driver library, supporting communication prot↑ocols of over hundreds of brands of instruments and me™ters. Without additional programming, mainstream brands of electricity meters, water mete​rs and other devices can be quickly added through web configu ration.

Flexible interfaces: It offers a wide range of interface options, including RJ45 network ports, RS-₹485, RS-232, USB, etc. Devices with different interfaces can £be connected simultaneously via wired means.

"Plug and play" collection: It greatly simplifies the debugging work of on-site ✘implementation engineers and shortens the project deployment cycle.

2. Flexible and diverse networking methods (solving the problem of scattered deployment)

Wired networking: Stably connected via Ethernet or RS-485 bus.

Wireless networking: Supports 4G/5G, Wi-Fi, LoRa and other wireless communication methods. For rφemote or netless metering points, data can be transmitted over long distances to the gateway throπugh wireless modules (such as LoRa), and then uploaded uniformly by the gate$way via 4G/5G networks, perfectly solving the wiring problem and $reducing implementation costs and complexity.

3. Localized Edge Computing and data Processing (Solvin→g Data Complexity Issues)

Data aggregation and statistics: The gateway is not only a data transmitter but also a₽ powerful edge computing node. It can perform real-time statistical calculations such as summing,€ averaging, maximum/minimum values, etc. on the original readings. For instance, the readi>ngs of dozens of electricity meters are aggregated into ≥a single piece of "total electricity consumption of the entire plant" data.

Advanced Energy Accounting: This is one of the core values of the AN-G/4. The gateway is equipped with a& built-in library of standard coal conversion coefficients and< carbon emission factors. It can automatically convert the collected raw∑ energy consumption data (kWh, t, m³) into standard coal tonnage (tce) £and carbon dioxide equivalent (tCO₂e) in accordance with the latest national standards. αThis provides enterprises with the most intuitive view of energy performance and carb∑on footprint.

Data caching and retransmission after disconnection: In the event of network interruption or platform failure, the gateway canβ store the data completely in the local flash memory. After the network is restored, the histori"cal data will be automatically sent back to the platform to ensure the continuity ♣and integrity of the data.

4. Platform Integration of Standardization and Security (Addressing the issue of→ integration standardization)

Compliant with national standards: AN-G/4 strictly adheres to technical specifications such as "NHJC-2018", and is e♠quipped with standardized data reporting formats and communic"ation protocols. It can be seamlessly integrated with proεvincial and municipal platforms "out of the box", eliminating the need≥ for complex protocol development work.

Embedded security functions: Gateways are typically used in conjunction with hardware firewalls (security isolation dev‍ices) or integrated with relevant security modules to ensure theΩ security and confidentiality of data during transmission over the Internet.

Iii. Description of Typical Application Case Scenarios

Case: Construction of an online energy consumption monitoring system in a large manufacturing park>

Project Overview: This park has multiple production workshops, office buildings, warehouses a™nd self-owned boiler rooms. It is necessary to collect ✔data from approximately 500 energy consumption measure®ment points and connect them to the provincial platf✔orm.

Implementation process：

1. Equipment connection: Deploy the AN-G-4 gateway in the central distribution room and connecαt 30 high-voltage smart electricity meters via the RS-485 bus.σ Each workshop substation aggregates the local electricity meter data through the  Ethernet switch and then transmits it to the central gateway via→ the network. The gas meters and heat meters in the boiler room send data to the gateway via the$ LoRa wireless module.

2. Local configuration: Engineers log in to the Web configuration interface of AN-G/4 through ↔a computer browser, quickly add all devices, and set data summary rules↑ (such as "Hourly electricity consumption of Workshop in the★ East Area") and the calculation formula for converting to standard coal (based on diffe≤rent coefficients of electricity, gas, and heat).

3. Data Reporting: After the gateway is configured with parameters such as the provincial platform IP a‍ddress and enterprise code, it automatically starts to upload the processeσd standard data packets to the provincial energy consumption monito♥ring platform through the optical fiber network of βthe park, after being encrypted by the front-end machine (security isolation≈ device).

Project achievements：

Rapid deployment: The protocol development and data integration work that originally took severa>l weeks has been shortened to be completed within j™ust a few days.

Intuitive data: Enterprise energy managers can not only view data on the prov®incial platform but also check the real-time energy consumption and carbon e÷mission dashboard of the entire plant through the local interface of the gateway, providαing immediate data support for energy-saving decisions.

Stable and compliant: The system operates stably, with a data reporting rate of over 99.9%, fulΩly meeting the requirements of national energy conservation and emission reduction supervision and​ data reporting.

The AN-G/4 intelligent gateway of Ailuo Technology is not σmerely a communication converter; it is a system-l♥evel solution integrating data collection, protocol parsing, edge πcomputing, energy accounting, and secure transmission. It has successfully addressed the cor€e challenges encountered by key energy-consuming units in the construction of o nline energy consumption monitoring systems, transforming complex and heterogeneous local≥ energy systems into standardized, manageable and valu☆able data sources. It serves as an "intelligent bridge" connecΩting the enterprise energy Internet of Things with the government's regulatory p¶latform.