Embodiments of this present disclosure may include a system that includes a first network device. The first network device may perform an operation according to a device configuration file. The system may also include a second network device that directly communicatively couples to the first network device through a peer-to-peer (P-P) communication network. The second network device may include a backup file of the device configuration file. The second network device may transmit the backup file of the device configuration file to the first network device in response to detecting that the first network device is lacking the device configuration file.

Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

Embodiments of this present disclosure may include a system that includes a first network device. The first network device may perform an operation according to a device configuration file. The system may also include a second network device that directly communicatively couples to the first network device through a peer-to-peer (P-P) communication network. The second network device may include a backup file of the device configuration file. The second network device may transmit the backup file of the device configuration file to the first network device in response to detecting that the first network device is lacking the device configuration file.

Embodiments of this present disclosure may include a system that includes a first network device. The first network device may perform an operation according to a device configuration file. The system may also include a second network device that directly communicatively couples to the first network device through a peer-to-peer (P-P) communication network. The second network device may include a backup file of the device configuration file. The second network device may transmit the backup file of the device configuration file to the first network device in response to detecting that the first network device is lacking the device configuration file.

Embodiments of this present disclosure may include a system that includes a first network device. The first network device may perform an operation according to a device configuration file. The system may also include a second network device that directly communicatively couples to the first network device through a peer-to-peer (P-P) communication network. The second network device may include a backup file of the device configuration file. The second network device may transmit the backup file of the device configuration file to the first network device in response to detecting that the first network device is lacking the device configuration file.

Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

A system for managing data in an industrial production environment includes a distributed database system stored on a plurality of embedded controller devices. Each respective embedded controller device comprises: a distributed database instance and a database management application. The distributed database instance is configured to store data collected from the industrial production environment by the respective embedded controller device. The database management application is configured to facilitate distributed queries and transactions on the plurality of embedded controller devices.

Systems and methods for providing network connectivity and remote monitoring, optimization, and control of pool/spa equipment are provided. Internet-of-Things (IoT) functionality is provided for pool and spa equipment in a flexible and cost-effective manner. Network connectivity and remote monitoring/control of pool and spa equipment is provided by various components such as a network communication and local control subsystem installed in pool/spa equipment, and other components. Also disclosed are various control processes (pool logic) which can be embodied as software code installed in any of the various embodiments of the present disclosure.

Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.