A communication rate between a cloud-based server and an HVAC controller located within a building may be controlled based on the amount of power available at the HVAC controller. The cloud-based server may notify a user if the amount of power available at the HVAC controller is determined to be low.

A communication rate between a cloud-based server and an HVAC controller located within a building may be controlled based on the amount of power available at the HVAC controller. The cloud-based server may notify a user if the amount of power available at the HVAC controller is determined to be low.

The present disclosure relates to monitoring processes. A processor creates a numerical representation of a nominal operation of the process. The processor then encrypts the numerical representation using homomorphic encryption to determine an encrypted numerical representation that blocks access to the numerical representation but allows calculations on the numerical representations. The processor proceeds by creating smart contracts on a blockchain platform using the encrypted numerical representation as a first input to the calculations of the smart contract. Next, the processor attempts execution of the smart contract using the current operation of the process as a second input to the calculations of the smart contract. The execution of the smart contract generates an output result by performing the calculations on the encrypted numerical representations. Based on the output of the execution of the smart contract, the processor finally determines that the current operation is outside the nominal operation.

The present disclosure relates to monitoring processes. A processor creates a numerical representation of a nominal operation of the process. The processor then encrypts the numerical representation using homomorphic encryption to determine an encrypted numerical representation that blocks access to the numerical representation but allows calculations on the numerical representations. The processor proceeds by creating smart contracts on a blockchain platform using the encrypted numerical representation as a first input to the calculations of the smart contract. Next, the processor attempts execution of the smart contract using the current operation of the process as a second input to the calculations of the smart contract. The execution of the smart contract generates an output result by performing the calculations on the encrypted numerical representations. Based on the output of the execution of the smart contract, the processor finally determines that the current operation is outside the nominal operation.

An autonomous lawn mowing system and method comprising receiving data from at least one autonomous lawn mower of a fleet of autonomous lawn mowers. The data comprising at least sensor data from one or more sensors associated with the at least one autonomous lawn mower. The sensor data is captured while the at least one autonomous lawn mower traversed an environment in accordance with a mow pattern. Based at least in part on the data, generating information indicative of one or more of: a diagnostic of the at least one autonomous lawn mower, an attribute associated with the environment, or a metric associated with the at least one autonomous lawn mower performing a task, and providing the information to a user.

An autonomous lawn mowing system and method comprising receiving data from at least one autonomous lawn mower of a fleet of autonomous lawn mowers. The data comprising at least sensor data from one or more sensors associated with the at least one autonomous lawn mower. The sensor data is captured while the at least one autonomous lawn mower traversed an environment in accordance with a mow pattern. Based at least in part on the data, generating information indicative of one or more of: a diagnostic of the at least one autonomous lawn mower, an attribute associated with the environment, or a metric associated with the at least one autonomous lawn mower performing a task, and providing the information to a user.

An unmanned aerial vehicle and a fail-safe method thereof are provided. The unmanned aerial vehicle includes at least one actuator, a failure processing circuit, and a flight controller. The actuator is configured to drive the flight behavior of the unmanned aerial vehicle. The failure processing circuit is configured to: define a corresponding relationship between the multiple failure states and the multiple protection measures, wherein each protection measure is respectively defined with a priority level and each protection measure is used to correspondingly change the flight behavior of the unmanned aerial vehicle; determine multiple current failure states when the flight behavior takes place; and select, according to the corresponding relationship, the selected protection measure having the highest priority level among the protection measures corresponding to the current failure state. The flight controller is used to change the flight behavior of the unmanned aerial vehicle according to the selected protection measures.

An unmanned aerial vehicle and a fail-safe method thereof are provided. The unmanned aerial vehicle includes at least one actuator, a failure processing circuit, and a flight controller. The actuator is configured to drive the flight behavior of the unmanned aerial vehicle. The failure processing circuit is configured to: define a corresponding relationship between the multiple failure states and the multiple protection measures, wherein each protection measure is respectively defined with a priority level and each protection measure is used to correspondingly change the flight behavior of the unmanned aerial vehicle; determine multiple current failure states when the flight behavior takes place; and select, according to the corresponding relationship, the selected protection measure having the highest priority level among the protection measures corresponding to the current failure state. The flight controller is used to change the flight behavior of the unmanned aerial vehicle according to the selected protection measures.

Systems, methods, and apparatuses for controlling electrically-powered trash receptacles and monitoring fullness levels. The system can include a storage enclosure and a bin contained inside the storage enclosure, the bin configured to receive and store items deposited in the storage enclosure, wherein an inside portion of the bin is at least partially covered by a bag placed inside the bin to hold the items deposited in the storage enclosure. The system can also include a sensor configured to sense a content fullness state of the bin and a processor configured to control operations performed by the sensor. In addition, the system can include a sleeve configured to be installed over an inside portion of the bin and the bag, the sleeve at least partially restricting a movement of the bag.

A building energy management includes building equipment, one or more data platform services, a timeseries database, and an energy management application. The building equipment operate to monitor and control a variable and provide raw data samples of a data point associated with the variable. The timeseries database stores a plurality of timeseries associated with the data point. The plurality of timeseries include a timeseries of the raw data samples and the one or more optimized data timeseries generated by the data platform services based on the raw data timeseries. The energy management application generates an ad hoc dashboard including a widget and associates the widget with the data point. The widget displays a graphical visualization of the plurality of timeseries associated with the data point and includes interactive user interface options for switching between the plurality of timeseries associated with the data point.