Methods and apparatus for presenting data to a user with augmented reality headgear or augmented reality glasses that has been oriented in a direction based upon unique automated generation of a vector are described. Systems for determining a direction of interest are based upon orientation of an apparatus. Data collection systems such as cameras, stereoscopic cameras, and scanner systems may be included in the augmented reality gear. In combination with a geospatial position, the direction of interest may be referenced in the provision of content via a user interface displayed in a worn augmented reality gear of the user at the site of interest. Updating of model data may be coordinated through the interface of an oriented augmented reality headgear with data collection systems.

A system to sustain and develop a terrestrial and extraterrestrial economy is provided. A thermodynamic energy component is provided for generating electricity and is in electrical communication with a distributing power grid. A dynamic electrical charging matrix with transportation systems, a habitat, an irrigation and agriculture topology and resources for manufacturing recycling provisions are each also in electrical communication with the distributing power grid. An auxiliary depot is further provided for auxiliary storage of energy-related resources.

Examples of the present disclosure describe systems/methods for automatically generating and tracking a carbon intensity (CI) score assigned to a particular product as the product traverses through a processing plant and discrete steps in a supply chain. In some examples, intermediate CI scores may be assigned to the product as it completes each step in its life cycle. The intermediate CI scores may be aggregated to produce a final CI score. Each intermediate CI score is recorded on a blockchain, such that the CI score is independently verifiable and auditable. In other example aspects, a machine-learning model may be applied to the input data received from each supply chain stakeholder and CI scores, wherein the machine-learning model generates intelligent suggestions to stakeholders for how to tweak their processes to lower CI scores. In other examples, a CI score may be used to derive a value for a CI token.

A technique for tracing the amount of CO.sub.2 emissions in the distribution process of a tangible object is provided. An information processing device includes: an acquisition unit configured to acquire information on electric power and information on fuel which are used in each of a plurality of steps of a distribution process of a tangible object; a calculation unit configured to calculate an amount of CO.sub.2 emissions generated in each of the steps, by using the information on electric power and the information on fuel which are acquired by the acquisition unit; and a storage control unit configured to control a storage unit to store the amount of CO.sub.2 emissions generated in each of the steps that is calculated by the calculation unit, in association with the tangible object.

According to one embodiment, a carbon dioxide emissions trading method includes acquiring position data of a moving body and a first CO.sub.2 emission amount emitted by the moving body during traveling, specifying one region, where the moving body is traveling, of a plurality of regions divided in terms of rights as a trading target region based on the position data and the first CO.sub.2 emission amount and obtaining a second CO.sub.2 emission amount emitted by the moving body in the trading target region, setting a cost corresponding to the second CO.sub.2 emission amount as a consideration of an emission right based on scheme information in the trading target region, and trading the emission right based on the cost corresponding to the second CO.sub.2 emission amount.

Described is a system configured to generate extensible carbon objects and public assignable certificates that encode carbon dioxide equivalent (CO2e) emissions data using an extensible Carbon Reporting Markup Language (<CarML>) format. <CarML> can be configured on a flexible application programming interface (API) gateway server between a logical layer and a representational layer, to interface software with the logical layer. <CarML> comprises a core set of common data schema and message types including interface objects, taxonomies, and contexts for describing extensible carbon object message types. Companies, stakeholders, regulatory and government agencies can use <CarML> to generate CO2e related data including known or bespoke CO2e emissions data, certificates, credits, environmental product declarations (EPDs), and units of measurements in a common language to build global libraries and robust tracking and management systems that can track the CO2e emissions or greenhouse gas (GHG) for the life cycle of a product or service, over the cradle to gate life cycle of the product or service, down to the unique individual consumable product or service unit.

The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem. The beneficial effects of the invention are as follows: a new method for classifying vegetation areas in coastal ecosystems by using dominant species is proposed, which reduces the difficulty of sampling and simplifies sampling steps; proposes a boundary division method for water body communication and carbon source calculation The method effectively fills the gap of the carbon source survey method in the estuary area; the proposed specific carbon source calculation method for tall shrubs and trees greatly reduces the difficulty and workload of the survey.

An estimation and ranking method for carbon emission of individual life, which includes the following steps: collecting and acquiring personal daily life clothing, food, housing, and transportation data; performing fuzzy interval processing on the collected data, and calculating carbon emissions corresponding to each behavior expressed by the fuzzy interval number according to the carbon emission coefficient of each behavior; using fuzzy interval number addition, the carbon emissions corresponding to each individual behavior are added according to different time scales to obtain the fuzzy interval value of the total carbon emissions of the individual on different time scales; use the fuzzy interval number comparison method to obtain the ranking of the carbon emissions of individuals in a specific group on the same time scale. The present invention performs effective size comparison and ranking of personal carbon emissions within a certain group range, and the analysis result is reasonable and accurate.

Described is a system and method for trusted gathering, accounting, recording, offering, tracking and displaying of embodied CO2e or greenhouse gas (GHG) for the life cycle of a product or service, over the cradle to gate life cycle of the product or service. The system provides an interface and architecture for adding environmental attributes such as carbon credits, offsets, removals and other mitigation instruments for embodied CO2e or GHG. The system is configured to encode carbon objects that can be employed to track and adjust the inputs and output of embodied CO2e for an embodied CO2e cradle to gate life cycle analysis (LCA) of a product or service across any supply chain path or value adding processes. The carbon objects carry credited amounts and balances of embodied and assigned CO2e for products and processes encoded to the carbon object. A Life Cycle Inventory (LCI) library database configured to store an environmental embodied CO2e record for an LCA of a product or process. This carbon data is displayed in Product/Service GHG report or in third-party read/write services and integrations.

A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers comprising an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in the IIoT system; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; an adaptive intelligent systems layer that provisions available computing resources within the platform; and an industrial management application platform layer that manages the platform in a common application environment.