As intelligent and digital technologies continue to deepen in the new energy sector, new energy enterprises, based on their position in the value chain and their own understanding, adhere to 'one enterprise, one policy' to formulate carbon peak action plans, focus on promoting industrial structure transformation and upgrading, adjust and optimize the energy structure, strengthen green and low-carbon technological innovation and application promotion, and promote coordinated pollution reduction and carbon reduction for synergy. They have successively launched carbon peak digital system management platforms.

The Canary Enterprise Carbon Peak System platform installs energy-consumption IoT meters for energy-using enterprises, automatically collects and uploads IoT data, and uses a multi-indicator comprehensive energy-efficiency evaluation model for analysis. It enables real-time monitoring, early warning, and energy-efficiency assessment of energy-consumption data from energy-using enterprises. On this basis, it enriches and expands other functions and application scenarios, closely aligning with the national carbon peak strategic goal.

Overall Platform Architecture

Platform Business Architecture

The platform includes: monitoring capability module, carbon trading capability module, and smart management module.

Product Functional Architecture

The platform includes the physical layer, support layer, application layer, and framework layer. The framework layer further includes: industrial operations, industrial structure optimization, industrial services, global diagnosis, and carbon peak target calculation.

Real-time Monitoring

Includes: carbon emission allowance, current emission indicators, energy types, current carbon emission details, trading allowance, trading time, etc., all authoritatively published externally through this platform.

Data Governance

Includes: compliance completion status, quota information, trading trends, market trends, real-time data, and historical data.

Cockpit

Includes: total carbon emissions, trend analysis, carbon emission types, top industries, etc.

Early Warning Module

Includes early warning information for equipment, carbon emissions, carbon sinks, enterprise points, performance, and safety.

Environmental Monitoring

Includes information on gases, environment, pollutant discharge, energy consumption, video surveillance, etc.

Asset Management

Includes management of sensors, equipment, assets, costs, etc.

Reports and Visualization

Includes comprehensive information reports on energy consumption, carbon emissions, allowances, points, etc.

Data Analysis

Includes statistical data on energy consumption, carbon emissions, allowances, points, etc.

Carbon Sink Function

Includes carbon sink allowance, used allowance, remaining allowance, tradable allowance, estimated cost, transaction amount, etc.

Comprehensive Evaluation

Includes energy consumption data, emission data, emission reduction data, comprehensive results, etc.

In response to pain points such as heavy tasks and tight deadlines in achieving dual carbon goals, lack of management systems, and lack of digital tools, the platform adopts a microservices architecture to meet customers' needs for rapid deployment and adaptation to rapid business development. It has rich experience in big data and algorithm applications, supports energy big data analysis and applications at the million-level data point scale, has secondary development capabilities, and offers strong scalability.

The system covers various links in the low-carbon industry, including front-end carbon capture, management, monitoring, application, trading, and evaluation. It has six major features: flexible and elastic system, high degree of digitalization, open ecosystem, integrated supply, management, and use, low latency, and intelligence.

Digitalization

Using IoT collection technology, it enables real-time monitoring of energy consumption data and digitally presents the energy usage of enterprises/parks. Based on provincial + 24 industry accounting guidelines, it builds accurate carbon calculation models covering five major areas: energy, industry, buildings, transportation, and residential/agricultural life.

The Canary Enterprise Carbon Peak System platform builds a digital carbon measurement system for enterprises, greatly improving the efficiency and accuracy of carbon measurement. It enables carbon emission data monitoring across the enterprise's full life cycle, carbon emission accounting throughout the entire production process, and carbon footprint accounting across the entire product process, fully unlocking the value of carbon data and optimizing its allocation, and balancing the relationship between energy conservation and emission reduction and enterprise development.

Low Latency

The system combines existing IoT technology and incorporates massive front-end sensors (cameras, atmospheric sensors, CO2 detection sensors, new energy sensors, energy consumption sensors, drones, environmental soil sensors, etc.) into the platform to obtain massive concurrent data. It processes the data through a unique platform architecture, ensuring system reliability under high concurrency.

The system's backhaul network uses 5G networks or advanced high-speed optical fiber transmission technology to quickly backhaul front-end carbon-related data. The minimum network latency can be reduced to the millisecond level, ensuring real-time data transmission.

Flexible and Elastic

The platform is applicable to new energy management, power, industry, parks, buildings, the Internet, people's livelihood, and other fields. It has good flexible and elastic design and has achieved good application in practical use.

Open Ecosystem

From regional and industry perspectives, the platform involves many aspects such as traditional industries, green new energy, ecological environmental protection, low-carbon finance, and smart buildings.

Integrated Supply, Use, and Management

From multiple dimensions such as carbon digital strategy, carbon digital intelligent construction, carbon digital intelligent management, carbon digital intelligent operation, and carbon digital intelligent evaluation, it provides: basic network subsystem, carbon emission monitoring subsystem, new energy power generation subsystem, building energy-saving system, dual carbon management subsystem, carbon sink trading subsystem, financial support subsystem, low-carbon profiling subsystem, and auxiliary decision-making subsystem.

Individualized Scenario Requirements

According to customer scenario requirements, the platform can be divided into four types of applications for different scenarios: enterprise-level management platform, park management platform, industry and management platform, and city management platform.

AI Intelligence

Through the monitoring subsystem, the platform conducts unified low-carbon management, generates heat map profiles of carbon emissions and carbon sinks, and issues warnings to enterprises with excessive high energy consumption, controls them until corrective measures are taken. Carbon emissions, new energy, and green economy industries within the jurisdiction are incorporated into a unified carbon sink trading platform, with unified planning and deployment according to low-carbon plans, scheduling, real-time monitoring, and trading. The front end of the system uses a large-screen visualization mode for display, integrates scattered data information, embeds various business models, and presents them graphically. This facilitates maintenance, operation, and decision-making for managers.

It carries out refined management of carbon peak actions at both micro and macro levels, safeguards stable revenue for local governments, is an important boost for building high-quality, highly available digital platforms, and is currently the best choice for enterprises implementing overall low-carbon solutions. Enterprises can effectively reduce the labor cost of carbon verification and lower the risk of unqualified audit reports. Through the platform's continuous tracking and data analysis, they can obtain reasonable and effective carbon emission reduction suggestions, optimize carbon assets, increase revenue, and enhance product competitiveness through optimized carbon footprint accounting.

New Energy Sector

AI helps smart microgrids achieve 'low-carbon emissions'. After introducing artificial intelligence technology, various models of photovoltaic panels are installed on the rooftops of residential buildings and streetlights along roads according to different lighting conditions. Wind turbines, charging piles, and energy storage battery systems are all available, creating an integrated smart energy project of 'wind, solar, storage, and charging'. It is monitored and managed through the enterprise digital carbon emission system.

Industrial Sector

Digital circuit breakers, electrical monitoring, and other devices are deployed at energy-using terminals to enable intelligent carbon emission collection and multi-level metering. Data is uploaded to the carbon emission management system to achieve equipment management and multidimensional energy-efficiency analysis, full life-cycle management of electrical equipment, analysis of the operating status of electrical equipment, and dynamic calibration at the energy consumption level. It visually displays the historical power consumption status of electrical equipment, analyzes equipment carbon emission indicators, conducts comprehensive equipment analysis, provides equipment maintenance or replacement suggestions, and records information.

Transportation Sector

The energy management system performs distributed monitoring and centralized management of energy-related equipment. In accordance with relevant guidelines and specifications, it stores and analyzes data from on-site monitoring points, enabling online metering and monitoring of the entire line network, energy consumption statistical analysis, diagnosis, prediction, early warning, and auxiliary decision-making. It helps subway station managers improve energy consumption management and reduce energy costs, achieving the energy use goals of 'safe, reliable, economical, efficient, and clean'.

Through energy-saving control, optimized scheduling, potential tapping, and reasonable energy conservation, it guides subway energy consumption, supports the construction of an efficient and energy-saving subway smart energy management system, achieves energy savings and efficiency improvements for the subway, and ultimately achieves a 25% energy-saving target.

Environmental Protection Sector

Focusing on the four directions of 'increasing sinks, consolidating sinks, popularizing sinks, and creating sinks', it implements city-wide and enterprise-wide greening actions. It is expected that the ecosystem will continue to be restored, with annual carbon sinks exceeding 2 million tons.

Carbon Sink Sector

Sell enterprises' surplus carbon quotas to areas or enterprises in the city that need them. Adhere to the path of green development and increase production and income through carbon sink trading.

Zero-Carbon Park

Zero-carbon parks need to meet other living and working needs of talent, which plays a crucial role in the construction of 'zero-carbon' parks and improving their core competitiveness; at the same time, the gathering of high-quality professional and skilled talent can generate many economic spillover effects for the park.

Q1: Should I choose the carbon peak system or the carbon emission monitoring system?

A: It depends on the target user. The carbon emission monitoring and decision management system is mainly for government departments to coordinate within their jurisdiction, while the enterprise carbon peak system is aimed at energy-using enterprises to manage their own carbon emissions, energy efficiency, and carbon assets. For enterprise self-use, choose the latter.

Q2: Should carbon emission data be filled in manually or collected automatically?

A: Automatic collection. SEEMSE (Jinzhang Technology) will install energy-consumption IoT meters for energy-using enterprises. Data is uploaded automatically, with no manual filling required, and there is usually no need to separately supplement carbon ledgers.

Q3: To what extent can the system manage carbon quotas and carbon trading?

A: It manages up to the compliance level. Quota information, compliance completion status, trading trends, and market trends can all be viewed in the system, and trading allowances and times are also displayed synchronously. Actual orders are still placed at the carbon exchange.

Q4: Carbon verification is time-consuming and costly. Can the platform reduce costs?

A: It can save a lot. The platform automatically aggregates carbon emission data and generates reports, reducing manual organization and lowering the risk of unqualified audit reports. The final verification scope is subject to the third-party institution.

Q5: With hundreds of monitoring points in the plant area, can real-time data be uploaded?

A: It can handle it. The platform uses a microservices architecture, supports million-level data points, and data backhaul can reach millisecond level at minimum. Even if more meters and monitoring points are added in the plant area, there is no need to replace the system.