A local productivity prediction and management system including a weather monitoring device and a productivity prediction device. The weather monitoring device 10 including at least one of the following sensors adapted to take weather measurements of local weather conditions. The sensors include a temperature sensor 12, a humidity sensor 13, a rainfall sensor 14 and a sunlight and/or ultraviolet light sensor 15. Wherein, the productivity prediction device is adapted to over time collect local actual livestock production values. The productivity prediction device is also adapted to apply a productivity prediction model which uses one or more correlating patterns between weather measurements and actual livestock production values, whether either are local and/or offsite to provide a set of one or more predicted livestock production values. The productivity prediction device is also adapted to manage a logistical function of livestock product collection and transport with regard to capacity and timing in response to the predicted livestock production value.

An environmental monitoring network has transportable, self-contained, environment sensing capsules, each capsule is water-proof, with first and second sections, the second section being hollow. Apertures in the capsule's housing enable fluid and gas entry wherein first sensor(s) disposed internal to the housing measure within the hollow, and second sensor(s) disposed external to the housing measure external to the housing. A controller and power system are connected to the first and second sensors and transmits measured data. An access entry way is on a side of the housing, enabling access to first sensors, controller system, power system, and the communication system. A central data server is configured to receive and analyze the measurement data sent from the capsules. There is a priority list of appropriate personnel for contact by the central data server in an event there is an emergency condition at a capsule location.

A method for sending environmental data to a vehicle in transit is disclosed. The method is performed by a ground system. The method includes receiving new environmental data from a plurality of environmental data providers. The method also includes synthesizing an update template that identifies recommended portions of relevant data that are available to be uploaded for at least one of a plurality of environmental data services. The method also includes sending the update template to the vehicle using a low-bandwidth connection, wherein the update template is sent by the ground system without first receiving a request for the update template. The method also includes receiving, from the vehicle, a request for the recommended portions of relevant data. The method also includes sending the recommended portions of relevant data to the vehicle in an update package using a high-bandwidth connection.

Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.

The present invention provides for a cognitive system using an autonomous vehicle includes a plurality of sensors configured to obtain the weather forecast for a pollution detectable area; a cognitive input to determine the pollution detectable area having highest sensitivity of pollution; a light detecting and ranging system configured to spatially probe pollution levels distributed in the pollution detectable area; an evaluation system to evaluate the probed pollution levels in the pollution detectable area; and a recommendation system for recommending an action to be taken based on evaluation system results of the probed pollution levels in the pollution detectable area, wherein the pollution levels are detected based light emitted by the light detecting and ranging system.

An automated method for managing weather related energy usage in a physical structure having and address using preexisting smart meters, preexisting weather stations and preexisting energy portals and with a dynamic energy model connected to a network.

The present disclosure includes methods of providing an equipment use guarantee quotation. In certain embodiments, such methods include: obtaining equipment rental information; obtaining a covered weather condition parameter corresponding to a weather condition that may occur during the rental period or during a time period preceding a rental period at a rental use location, the covered weather condition parameter being a threshold amount of a weather condition that would trigger a use guarantee for the rental equipment item during the rental period; receiving predictive weather condition information corresponding to the weather condition that may occur during the rental period or during a time period preceding the rental period at the rental location; estimating a probability of an occurrence that the weather condition will result in meeting or exceeding the covered weather condition parameter during the rental period or during a time period preceding the rental period.

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from at least one weather monitoring station and at least one processor for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from the at least one weather monitoring station positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the at least one processor is configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

The technology relates to determining general weather conditions affecting the roadway around a vehicle, and how such conditions may impact driving and route planning for the vehicle when operating in an autonomous mode. For instance, the on-board sensor system may detect whether the road is generally icy as opposed to a small ice patch on a specific portion of the road surface. The system may also evaluate specific driving actions taken by the vehicle and/or other nearby vehicles. Based on such information, the vehicle's control system is able to use the resultant information to select an appropriate braking level or braking strategy. As a result, the system can detect and respond to different levels of adverse weather conditions. The on-board computer system may share road condition information with nearby vehicles and with remote assistance, so that it may be employed with broader fleet planning operations.

A movable system for automatically monitoring the correlated wind and temperature filed of a bridge, including a bridge monitoring subsystem, a cloud server, and a client. The system monitors the meteorological parameters of a bridge surface and a temperature of a bridge structure, performs data analysis and processing on a cloud server, and performs visual data interaction by using a client. A bridge surface-specific meteorological parameter monitoring module is movable, such that the location of the sensor for meteorological data monitoring can be adjusted at any time to monitor an entire bridge deck in a time-sharing manner. A lower cantilever structure has an adjustable height, such that the sensor for meteorological data monitoring can track a height of a boundary layer of the bridge surface. A bridge structure-specific temperature monitoring module adopts distributed patch-type temperature sensors, which can detect the temperature of the bridge structure in all directions.