| CPC G06Q 10/06393 (2013.01) | 18 Claims |
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1. A processor implemented method comprising:
receiving, via one or more hardware processors, enterprise data collected using a plurality of sensors, wherein the plurality of sensors includes hard sensors and soft sensors, the hard sensors are physical sensors including in situ sensors and a remote sensing satellite which along with Geographic Information System (GIS) provide hard sensing by collecting data, record data from an environment, wherein the soft sensors includes machine learning (ML) models taking an input data and predict a target output, wherein the mapping of the soft sensors to indicators of SDGs, wherein when one of the SDG is clean energy and then the indicators mapped to the SDG is proportion of renewal energy consumption, amount of renewal energy generated on premise;
mapping, via the one or more hardware processors, the enterprise data to a plurality of indicators of one or more Sustainable Development Goals (SDGs) using pre-defined configurations, wherein the pre-defined configurations are defined in a configuration file and contain details on metrics for evaluating each of the plurality of indicators, wherein the mapping of the enterprise data to indicators pertains to mapping of spatially distributed hard sensors to indicators of the SDGs, wherein the hard sensors depict remote sensing data of a SDG goal is a climate action and indicators are emission control system via satellite/GIS data, natural resources management, analysis of hyper spectral and high-resolution satellite images and climate change modelling that facilitates in calculating a direct and an indirect impact of an enterprise on carbon emission;
constructing, via the one or more hardware processors, a semantic network comprising a plurality of nodes corresponding to each of the plurality of indicators and a plurality of edges connecting one or more nodes among the plurality of nodes if the one or more nodes correspond to indicators of same SDG, wherein each node of the semantic network is linked to a first layer of a neuro-fuzzy network using a plurality of membership functions, the neuro-fuzzy network is a neural network comprising a first layer and a second layer;
estimating, via the one or more hardware processors, degree of impact of each of the plurality of indicators in the semantic network on Social(S), Environmental (E) and Economic (E) values by calculating S, E, E scores using a neuro-fuzzy network;
determining, via the one or more hardware processors, whether each of the plurality of indicators in the semantic network are one or more of Burden (B), Benefit (B) and Vulnerability (V) by computing B, B, V scores from the S, E, E scores using the neuro-fuzzy network; and
transforming, via the one or more hardware processors, the B, B, V scores to a Red-Green-Blue (RGB) color space to generate a color indicating SDG performance of the enterprise, wherein the SDG performance represented in terms of the generated color is displayed on a Light Emitting Diode ‘LED’ panel, wherein the LED panel comprises LEDs corresponding to each SDG and the LED represents overall SDG performance of the enterprise, wherein the carbon emission of the enterprise is dominant towards Burden (B) and less on Benefit (B) and Vulnerability (V), wherein the Burden (B) score belongs to ‘b’ in a lab colour space implying that a score is towards Blue/Yellow Value and less towards Red/Green Value, and the indicators with high benefit and low burden transforms to colors as red/magenta, and high burden and less benefit transforms color to yellow,
wherein when the values of burden and benefit are in ratio of 1:4, then magenta color is displayed,
and when the values of burden and benefit are in the ratio of 4:1, then yellow color is displayed,
wherein the configuration file is received as an input through an input/output (I/O) interface device and the input/output (I/O) interface device displays the SDG performance or the color indicating the SDG performance as an output, wherein the input/output (I/O) interface device displays a screen saver indicating the SDG performance of the enterprise.
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