Planning of TGN Blockchain Technology

The uniqueness of this project lies in the extensive use of cutting-edge advanced technologies. At TerraGreen we believe that a number of social problems that the world faces, if not all, can be solved by efficiently developing and deploying advanced technologies in the concerned field. Keeping this in mind, we have brought together few of the most innovative technologies of our times, together for the same cause of solving the immensely huge problem of Biomass waste management that we face throughout the world.

Inside the TerraGreen ecosystem, there are three sub-ecosystems actively working by exchanging data, analyzing them, generating the report and making predictive and/or prescriptive actionable suggestions to each other in real time. They continue on to analyze the consequence of the suggested action and store it to take them into account for future analysis of similar kind. This highly iterative process of suggestion-action-analysis over the period of time is designed to continuously lead to better autonomous operational suggestions, efficiency, and productivity. This has been made possible by the use of some of the tools and technologies as described in this section.

TGNBD: TGNBD stands for Terragreen Big data. It is the customized application of Big Data in the waste management industry, developed by TerraGreen exclusively to catalyze optimization of frequent operations. Big data, in general, refers to collecting and storing a large amount of data in order to extract useful information which enables smart and effective decision making in real time and future. TGNBD is one of the four technological pillars upon which TerraGreen stands. Various operations within the Big Data domain will be directed towards extracting meaningful data out of what is known as data lake. The integration of blockchain SHA 384 along with Big Data solves vital problem organizations working on Big Data encounter. The implemented infrastructure sorts the dark data out of data lake and processes it through a third-party processor by leveraging.

The real-time incoming data being collected through established data collection points processed by TGNBD is highly structured due to the virtual data filters deployed at the collection points. The analysis reports generated by TGNBD will go through the three-layer process to generate the best possible outcome with maximum automation. The initial data generated from the descriptive analysis will be fed into a predictive analysis which will ultimately be used for making the prescriptive analysis. Amongst the three different kinds of analysis done through Big Data, TerraGreen will implement the most advanced and reliable of it, namely, Prescriptive Analysis.

TGN-ADI: TGN-ADI stands for TGN Adaptive Intelligence. It is the customized application of Adaptive Intelligence in the Biomass waste management industry developed by TerraGreen exclusively to make the machinery and equipment’s present inside the processing plants and intelligent which enables communication and coordination between various parts of the facility. TGN-ADI can precisely be described as the brain of the entire ecosystem. Such instruction is recorded on the open ledger blockchain SHA 384 which may be kept private or public, depending upon the organization’s preference.

The basic idea behind using AI in TGN Ecosystem is to develop a system that is able to take real-time human brain like decisions based on learnings from past experience or in-house data. In a practical sense, the system predicts accurate future movements of different types of entities based on system configuration by mining hidden information from historical transaction data and from deep behavioral records.

TGN-IOT: TGN-IOT stands for TGN Internet of things. It is the customized application of the Internet of things in the Biomass waste management industry developed by TerraGreen. One can simply say that TGN-BD is the fuel of TGN-IOT and TGN-ADI is the brain of TGN-IOT. Together, they constitute what is known as the TGN Ecosystem.