Y02P90/84

Real-time location of an object using multiple electrical devices

A system for locating an object in a volume of space can include a communication device of the object disposed in the volume of space, where the communication device broadcasts a first communication signal into the volume of space, where the first communication signal includes a first identification of the object. The system can also include multiple integrated sensor devices disposed in the volume of space, where each integrated sensor device includes at least one sensor, at least one receiver, and at least one transmitter, where the at least one receiver of a subset of the integrated sensor devices receives the first communication signal, where each of the subset determines a signal strength of the first communication signal. The system can further include at least one access controller that receives at least one second communication signal sent by the subset.

SYSTEM AND METHOD FOR STANDARDIZING AND TRACKING LAND USE UTILITY
20210342962 · 2021-11-04 ·

Property records and parcel boundaries form the basis for much of the backbone used in the real estate industry for a myriad of activities from property search, analysis, evaluations for lending etc. However, these records do not include accurate and consistent data for fields related to a property's zoning or possible future land use. This invention targets transforming disparate data sources needed to express a property's land use utility and standardizes the multiple records into a standardized land use utility with an element for time that allows tracking and measuring changes in standardized land use utility at the parcel level for one or more locations. Improvements in this invention are directed to an improvement in computer-related technology.

System and methods for actively managing electric power over an electric power grid
11165258 · 2021-11-02 · ·

Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

MONITORING SITES CONTAINING SWITCHABLE OPTICAL DEVICES AND CONTROLLERS
20230333520 · 2023-10-19 ·

A site monitoring system may analyze information from sites to determine when a device, a sensor, a controller, or other structure associated with optically switchable devices has a problem. The system may, if appropriate, act on the problem. In certain embodiments, the system learns customer/user preferences and adapts its control logic to meet the customer's goals.

Machine learning in agricultural planting, growing, and harvesting contexts

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.

INTELLIGENT VIBRATION DIGITAL TWIN SYSTEMS AND METHODS FOR INDUSTRIAL ENVIRONMENTS

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

AI-Managed Additive Manufacturing for Value Chain Networks

A distributed manufacturing network information technology system includes a cloud-based additive manufacturing management platform with a user interface, connectivity facilities, data storage facilities, and monitoring facilities. The distributed manufacturing network information technology system includes a set of applications for enabling the additive manufacturing management platform to manage a set of distributed manufacturing network entities. The distributed manufacturing network information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the distributed manufacturing network entities to optimize manufacturing and value chain workflows.

Distributed-Ledger-Based Manufacturing for Value Chain Networks

A distributed manufacturing network includes a distributed ledger system and an artificial intelligence system. The distributed ledger system is integrated with digital threads of a set of distributed manufacturing network entities for storing information on event, activities and transactions related to the distributed manufacturing network entities. The artificial intelligence system is configured to learn on a training set of outcomes, parameters, and data collected from the distributed manufacturing network entities to optimize manufacturing and value chain workflows.

Online Platform for Carbon Offsetting with Automatically Identified Impacting Measures

Systems and methods are described for allocating Climate Impacting Measures (CIMs) on demand. A plurality of requests for CIMs may be received, where each request originates may include a desired emissions value. The requests may be aggregated into a batch having a total emissions value. A trained model may then be used to select CIM records and amounts of each selected CIM record based on CIM allocation rules, the batch emissions value, and optimization of an offset value in view of a cost associated with each selected CIM record. In some embodiments, further optimization may obtained using penalty functions and/or historical data from similar CIM record groups. Responses may then be transmitted to each of the plurality of requests, the responses each including a message for display on a graphic interface describing the allocated selected records for the requesting entity associated with the request.

CARBON FOOTPRINT-BASED CONTROL OF CLOUD RESOURCE CONSUMPTION

An approach is provided for determining a carbon footprint-based consumption of cloud resources. Cloud resource requirements and a carbon footprint cap of a workload of a cloud consumer are received. The requirements and cap are based on a sustainability target, published by the cloud consumer, and subscribed by cloud service providers. A list of cloud resources that satisfy the requirements are sent. Carbon emission values of the cloud resources at different load levels of the workload are sent. Based on a service level agreement requirement, a criticality level, and a peak load duration of the workload, and previous success rates of satisfying cloud resource requirements by cloud service providers, an optimized configuration of cloud resource(s) and cloud service provider(s) is selected. The cloud resource(s) are selected from the list and have a carbon footprint that does not exceed the cap at a given load level.