Systems and methods presented herein generally relate to greenhouse gas emission monitoring and, more particularly, to a greenhouse gas emission monitoring workflow using various different types of sensors. For example, a system includes a plurality of sensors located within an oil and gas worksite. At least one sensor of the plurality of sensors is configured to detect a status of equipment at the oil and gas worksite. The system also includes a greenhouse gas emission analysis system configured to receive sensor data from the plurality of sensors. The greenhouse gas emission analysis system is also configured to correlate the sensor data from the plurality of sensors (e.g., using one or more reduced order models (ROMs) that reduce the computational complexity of computational fluid dynamics model simulations of previously collected data relating to operation of the oil and gas worksite). The greenhouse gas emission analysis system is further configured to determine an existence of a greenhouse gas emission within the oil and gas worksite, a location of the greenhouse gas emission within the oil and gas worksite, and a quantity of the greenhouse gas emission within the oil and gas worksite based at least in part on the correlation.

A container having a compactor and bin for waste is disclosed permitting on-premises and remote monitoring of the system and collection is disclosed. The system can also detect non-complaint materials placed therein and act thereon. Methods are further disclosed for inventorying identification tags for tracking packages, merchandise and tags disposed of.

Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Zoning codes are unique to a specific city which means no two zoning ordinances are the same. Even if two cities cite the same zoning district abbreviation or name, it does not mean the zoning controls are the same confusing the lay person and limiting understanding. Zoning is often used in a generic sense but not specific. This invention transforms the complexity zoning by associating mapping data with the corresponding zoning ordinance and uses descriptors to standardize zoning districts, controls and changes across multiple cities.

Methods and systems for automating carbon footprinting are disclosed. In some embodiments, the methods include a plurality of steps. In some embodiments, related to predetermined resources associated with an item from predetermined data sources is obtained. Then, estimated emission factors are calculated for each of the resources. Next, a contributory uncertainty of the data and of the emission factors is determined. Then, a user is guided based on a comparison of the respective contributory uncertainty of data related to the resources or emission factors. Next, both data related to the resources and the estimated emission factors of the resources are utilized to determine a carbon footprint of the item.

A cascaded control system is configured to control power consumption of a building during a demand limiting period. The cascaded control system includes an energy use setpoint generator and a feedback controller. The energy use setpoint generator is configured to use energy pricing data and measurements of a variable condition within the building to generate an energy use setpoint during the demand limiting period. The feedback controller is configured to use a difference between the energy use setpoint and a measured energy use to generate a control signal for building equipment that operate to affect the variable condition within the building during the demand limiting period.

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

The present disclosure provides a method, a device, a storage medium and a program product for carbon trading. The method for carbon trading includes acquiring identification data and carbon behavior data of a transport device, the carbon behavior data indicating at least one of carbon consumption behavior and carbon emission reduction behavior of the transport device and the identification data including at least an identity corresponding to the transport device; in response to determining that the identity is in a predetermined identity set, acquiring an attribute corresponding to the transport device based on the identity; and determining, based on the carbon behavior data and a first smart contract matching with the attribute, a carbon emission reduction equivalent corresponding to the carbon behavior data, the first smart contract being provided for converting the carbon behavior data to the carbon emission reduction equivalent; transmitting the carbon emission reduction equivalent to a blockchain platform to store in a first account associated with a first object, the first object being associated with a plurality of transport devices; and publishing carbon trading associated with the carbon emission reduction equivalent in the first account as a blockchain transaction.

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.

Methods and systems for tracking individual-based carbon offsets in real time using a distributed ledger are presented. One method includes: tracking, by a computing device having one or more processors, the movement of a user device associated with a user from a first location; receiving, via sensors on the user device, motion-specific data for a predetermined duration; creating feature vectors using the motion-specific data for the predetermined duration; applying a trained machine learning model to the feature vectors to determine a mode of transport for the movement; receiving by the computing device, an indication of the end of the movement at a second location; generating, based on the mode of transport, a carbon offset score; and recording, in a distributed ledger, a tokenized entry of the carbon offset score.