System and method for real-time digital monitoring reporting verification of greenhouse gas emissions and converting to digital asset

Abstract

System and method for real-time digital monitoring reporting verification of greenhouse gas emissions and converting to digital asset comprises three main steps and one additional step as follow: step

Description

[0001] SPECIFICATION

[0002] TITLE

[0003] System and method for real-time digital monitoring reporting verification of greenhouse gas emissions and converting to digital asset

[0004] TECHNOLOGY FIELD

[0005] Computer technology particularly to system and method for real-time digital monitoring reporting verification greenhouse gas emissions in real-time and converting to digital asset

[0006] BACKGROUND OF THE INVENTION

[0007] According to documents of Thailand Greenhouse Gas Management Organization (Public Organization) or TGO which is an organization that operates on greenhouse gas certification, there are requirements or measures to measure, report and verify amount of greenhouse gas emissions that consists of requirements to design, develop, manage, report and verify organization’s greenhouse gas inventory as well as showing examples by organization types such as office, educational institute, and industrial plant to be used as a guideline for greenhouse gas emissions assessment covering all activities of each type of organization that actually occur within the country. However, such operations are still done by filling forms by experts or related persons.

[0008] Internet of Things (loT) generally refers to a system of devices capable of communicating over network including communication of data over the network. Devices can be referred to everyone items such as electrical device, control systems, cars, or similar things. For example, network communications can be used for automating device tasks, capturing data, providing alarms, personalization and being used in many other ways.

[0009] Machine Learning is teaching for computer systems or algorithms to learn, understand and make decisions on their own by using input to learn. There are two types of machine learning, supervised learning or unsupervised learning. Supervised learning in which machines learn and predict outcomes with the help of data scientists. While unsupervised learning, the machines will learn and make predictions by classifying and generating its patterns from the given data. The more machines can predict outcomes from a large data set, the more they demonstrate deep learning capabilities. Geographic Information System (GIS) is a technology that works by inputting geographical data such as map images, satellite photos, numbers, letters, distances into computer program analysis. Results are often highly accurate and can be applied to many works. GIS has many benefits especially in environmental management, urban planning, and utilities management by calculating an area that will be used from the map image such as measuring distance to build roads or specifying points on the map for laying water pipes.

[0010] Blockchain technology is referred to as distributed ledger technology as a distributed internet database technology. Blockchain technology is characterized by decentralization, transparency, nontampering and trustworthiness. A network built on the basis of blockchain technology is referred to as a blockchain network. The blockchain network comprises network nodes (which can also be referred to as blockchain nodes). Each network node corresponds to one or more blockchains and each blockchain consists of at least one block.

[0011] Data is generally recorded in the blockchain network in two phases. In the first phase, the blockchain network receives data which is then recorded and disseminated throughout the whole blockchain network. Each node in the blockchain network receives data which will be recorded. In this case, each network node in the blockchain network writes data which is then recorded in the cache. In the second phase, the network node in the blockchain network which is allowed to record data which must be recorded in a block when it is allowed to record and add that block to existing blockchain. It can be seen that the data is recorded in the blockchain network using asynchronous writing policy.

[0012] However, in an actual service plan, when service data is recorded in the blockchain network using the asynchronous write policy. Generally, the data processing sequence is maintained in the first phase and the data will be recorded as such. In the second phase, the data which will be recorded in the data processing sequence is written into blocks on the basis of first order in the First out principal.

[0013] SUMMARY OF THE INVENTION

[0014] Global warming and climate change are an international threat that affects the economy and living conditions of people in all regions more difficult which are caused by economic activities and human consumption that continuously emit greenhouse gases into the atmosphere. To alleviate such problems, the world community has therefore reached UN Framework Convention on Climate Change (UNFCC) for reducing greenhouse gas emissions by setting goals to control temperature in the atmosphere not to rise more than 2 degrees Celsius or to have carbon dioxide concentration in the atmosphere not exceeding 450 ppm. Compared to the pre-industrial period of the 18thcentury, such goals are likely to lead to setting goals for reducing or limiting greenhouse gas emissions at the national level. In 2021, it is the starting point for measures to measure, report and verify the amount of greenhouse gas emissions at all levels, especially at corporate level, also known as carbon footprint for organization. This encourages organizations to participate by monitoring, reporting and verification and set guidelines to reduce greenhouse gas emissions at their major sources.

[0015] At present, the system or method for monitoring reporting and verification the amount of greenhouse gas emissions is still done by filling forms by experts or persons involved in each activity, which may cause errors, inaccuracy, not transparency, incorrect according to international standards. In addition, there is a high cost of doing so.

[0016] With the aim of this invention is to invent a system or method for monitoring reporting and verification amount of greenhouse gas emissions according to Monitoring-Reporting and Verification Framework of UN Framework Convention on Climate Change (UNFCC) which is a process used for greenhouse gas reporting through digital system which is effective integration with many types of technology such as Internet of Things (loT), machine learning, geographic information system (GIS) on blockchain network which is highly secure and transparent. In addition, artificial intelligence is used for fraud detection and enhancing accuracy of the monitoring reporting and verification according to international standard, transparent, low-cost, and real-time. It can also replace experts for doing the processes covering all activities in the value chain that emit greenhouse gases.

[0017] The invention is developed by replacing the traditional monitoring reporting and verification in a digital format throughout the process which is disruptive innovation in digital service business for monitoring reporting and verification of greenhouse gas emissions on activities in various sectors by integrating various technologies. This can easily expand business because it is a digital service which integrates with digital devices or Internet of Things devices that users already have and the users do not need to invest more.

[0018] BREIF DESCRIPTION OF THE DRAWING

[0019] Fig. 1 is an overview of system and method for real-time digital monitoring reporting verification greenhouse gas emissions and converting to digital asset. DETAILED DESCRIPTION

[0020] System and method for real-time digital monitoring reporting verification of greenhouse gas emissions comprises the system and three main steps and one additional step respectively, as follow: first step, step for monitoring greenhouse gas emissions (Monitoring Stage) which is step of data acquisition from data sources as follow:

[0021] - from documents which are read by optical character recognition (OCR) technology which is a specific technique of machine learning to reduce steps and mistakes in system recording and avoid double counting problem;

[0022] - from objects which are classified and identified by techniques of image classification and image identification with artificial intelligence and object recognition technology which are machine learning techniques to classify and identify objects for determining amount of greenhouse gases into the system;

[0023] - object measurement by technological technique that combines reality and virtual world by creating simulation or virtual objects with information technology devices, also known as augmented reality (AR) technology and checking color by performing color detection to check its accuracy;

[0024] - from importing data from loT devices by importing from the devices which monitor activities that cause greenhouse gas emissions;

[0025] - from importing data from data source via application programming interface (API);

[0026] - from importing data directly from database which can support SQL and non-SQL format.

[0027] Data from above mentioned data sources will be sent to blockchain network which is decentralized network with high security, transparency and also low cost. A platform uses the blockchain network to validate and verify transaction by proof of history blockchain network to verify each activity that has suitable characteristics for real-time monitoring data.

[0028] Second step, step for reporting greenhouse gas emissions (Reporting Stage) which is step of primary data processing from raw data which obtained from the first step in blockchain form that the report meets ISO 14064 standard (GHG emission) which this step is done by two techniques: 1. Fraud protection which uses artificial intelligence to assist data processing which the data obtained from the step for monitoring greenhouse gas emissions for assisting fraud protection, data anomaly detection, and manipulation prevention that may occur to the raw data from the receiving source;

[0029] 2. Self-organizing data mapping which uses deep leaning machine to manage, separate and synthesize the raw data according to greenhouse gas emission reporting standards both national and international standards.

[0030] Third step, step for verifying greenhouse gas emissions (Verification Stage) which is last step by verifying the result of the reporting obtained from the second step to create transparency of the obtained results according to Monitoring-Reporting and Verification Framework which is process for monitor, report and verify greenhouse gas emission according to UN Framework Convention on Climate Change (UNFCC) by setting up a validating node of smart contract on blockchain network in other entity to act as third party verifier for real-time verification of carbon footprint.

[0031] Step for creating digital asset (Tokenization Stage) which is additional step for this invention. This step is an extension of the three-step process of Monitoring-Reporting and Verification framework. This step, the system will convert carbon credit resulted from the third step, step for verifying greenhouse gas emissions (Verification Stage), to digital asset in digital token form for users that can be exchanged, transferred, divided into smaller units, burned.

[0032] The result is recorded in the blockchain network and can be displayed through applications and dash boards via Web 3.0 technology corresponded to user preferences. Additionally, the result can be sent to third party in API for flexibility in commercial use, and can be plug-in feature for operating system that the user currently uses without system interruption.

[0033] BEST MODE OF THE INVENTION

[0034] Best mode of the invention is as described in the detailed description.

Claims

AMENDED CLAIMS received by the International Bureau on 26 August 2023 (26.08.2023)

1. [Amended] Method for real-time digital monitoring reporting verification of greenhouse gas emissions comprising following three steps respectively: first step, step for monitoring greenhouse gas emissions which is step of data acquisition from a data source; second step, step for reporting greenhouse gas emissions which is step of primary data processing from raw data which obtained from the first step; third step, step for verifying greenhouse gas emissions which is last step by verifying the reporting result obtained from the second step to follow Monitoring-Reporting and Verification Framework required by UN Framework Convention on Climate Change (UNFCC).

2. [Amended] Method according to claim 1, wherein based on blockchain network to validate and verify transaction by proof of history blockchain network to verify each activity.

3. [Amended] Method according to claim 1, wherein the data source in the step for monitoring greenhouse gas emissions selected from any one or combination of sources:I. documents which are read by optical character recognition (OCR) technology;II. objects which are classified and identified by techniques of image classification and image identification;III. object measurement by augmented reality (AR) technology;IV. importing data from IOT device;V. importing data from data source via application programming interface (API);VI. importing data directly from database.

4. [Amended] Method according to claim 1, wherein greenhouse gas emissions report meets ISO 14064 standard (GHG Emission).

5. [Amended] Method according to claim 1, wherein verifying greenhouse gas emissions by setting up a validating node of smart contact on blockchain network.

6. [Amended] Method according to claim 3, wherein the objects which are classified and identified are done by artificial intelligence and object recognition technology which is machine learning technique.

7. [Amended] Method according to claim 3, wherein the object mea-AMENDED SHEET (ARTICLE 19)surement by augmented reality technology, color of the object measurement is done by color detection.

8. [Amended] Method according to claim 3, wherein the database can support SQL and non- SQL format.

9. [Amended] Method according to claim 4, wherein the report can be selected from any one or combination of these techniques:- Fraud protection by artificial intelligence;- Self-organizing data mapping by deep learning machine.

10. [Amended] Method according to claim 1, further comprising creating digital asset by converting carbon credit resulted from the third step, step for verifying greenhouse gas emissions, to digital asset in digital token form.

11. [Amended] Method according to claim 1 or 10 wherein the result is recorded in blockchain network and displayed through application and dashboard via Web 3.0 technology.

12. [Amended] Method according to claim 11, wherein the result can be sent to third party in API.

13. [Amended] Method according to claim 11 wherein the result can be plug-in feature for operating system.

14. Data processing device wherein the device is affected by software and hardware and the device is designed to perform the method according any one of claims 1 - 13.AMENDED SHEET (ARTICLE 19)

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