Systems and methods of (remotely) controlling aspects of pools and spas and of modifying water contained therein are detailed. Internet-enabled access to pool and spa controllers may happen without any need for users to create firewall ports or utilize static internet protocol addresses. Certain networking devices may be configured using a USB connection or SD card, avoiding any requirement for an Ethernet cable or supplying separate power to the devices during configuration. Time-varying data may be obtained in respect of one or more installations and analyzed for various information.

Systems and methods of (remotely) controlling aspects of pools and spas and of modifying water contained therein are detailed. Internet-enabled access to pool and spa controllers may happen without any need for users to create firewall ports or utilize static internet protocol addresses. Certain networking devices may be configured using a USB connection or SD card, avoiding any requirement for an Ethernet cable or supplying separate power to the devices during configuration. Time-varying data may be obtained in respect of one or more installations and analyzed for various information.

Disclosed are devices, systems and methods for a monitoring system for autonomous vehicle operation. In some embodiments, a vehicle may perform self-tests, generate a report based on the results, and transmit it to a remote monitor center over one or both of a high-speed channel for regular data transfers or a reliable channel for emergency situations. In other embodiments, the remote monitor center may determine that immediate intervention is required, and may transmit a control command with high priority, which when received by the vehicle, is implemented and overrides any local commands being processed. In yet other embodiments, the control command with high priority is selected from a small group of predetermined control commands the remote monitor center may issue.

Disclosed are devices, systems and methods for a monitoring system for autonomous vehicle operation. In some embodiments, a vehicle may perform self-tests, generate a report based on the results, and transmit it to a remote monitor center over one or both of a high-speed channel for regular data transfers or a reliable channel for emergency situations. In other embodiments, the remote monitor center may determine that immediate intervention is required, and may transmit a control command with high priority, which when received by the vehicle, is implemented and overrides any local commands being processed. In yet other embodiments, the control command with high priority is selected from a small group of predetermined control commands the remote monitor center may issue.

A production management system 100 includes an operating state acquisition apparatus 20a and a production management apparatus 10. The operating state acquisition apparatus 20a includes a detector 21a that is retrofitted to be mounted on a production equipment 31 disposed on a manufacturing line L1 or retrofitted to be disposed in a vicinity of the production equipment 31, and which outputs a detection signal indicating an operating state of the production equipment 31, and includes a transmitter 22a that transmits the detection signal. The production management apparatus 10 includes a generator for generating information on production state of the manufacturing line L1 by use of the detection signal received from the operating state acquisition apparatus 20a, and includes a display device for displaying the generated information on production state.

According to embodiments, a system, method and non-transitory computer-readable medium are provided to receive time series data associated with one or more sensors values of a piece of machinery at a first time period, perform a non-linear transformation on the time-series data to produce one or more nonlinear temporal embedding outputs, and projecting each of the nonlinear temporal embedding outputs to a different dimension space to identify at least one causal relationship in the nonlinear temporal embedding outputs. The nonlinear embeddings are further projected to the original dimension space to produce one or more causality learning outputs. Nonlinear dimensional reduction is performed on the one or more causality learning outputs to produce reduced dimension causality learning outputs. The learning outputs are mapped to one or more predicted outputs which include a prediction of one or more of the sensor values at a second time period.

Example implementations include a method of pre-bootup fault monitor of a LASER diode driver output, by applying a first power to a pre-bootup fault monitor device, setting a fault condition at the pre-bootup fault monitor device to a no-fault state, initiating the pre-bootup fault monitor device, determining whether a first impedance of driver output satisfies an impedance threshold, and in response to a determination that the first impedance satisfies the impedance threshold, applying a second power to the output device. Example implementations also include a system with a LASER output device, and a pre-bootup fault monitor device operatively coupled to the LASER output device, and operable to activate in response to receiving a first power, set a fault condition to a no-fault state, determine whether a first impedance of the output driver satisfies an impedance threshold, and, in response to a determination that the first impedance satisfies the impedance threshold, apply a second power to the LASER output device, and a power-on reset controller operatively coupled to the pre-bootup fault monitor and operable to, in response to the determination that the first impedance satisfies the impedance threshold, deactivate the pre-bootup fault monitor.

Aspects of the technology described herein improve a computing device's ability to accurately extract contextual features related to vehicle performance, vehicle usage, maintenance, recalls, and use the information to provide maintenance recommendations. Aspects of the technology described herein can analyze vehicle data from multiple sources including vehicle sensors, driver computing devices, maintenance records, used oil analysis, aftermarket sensors, and other data sources to ascertain a vehicle's operational state and detect warning signs that are statistically correlated with a mechanical failure or unsafe driving condition. When a warning sign is detected, the technology described herein can make maintenance suggestions to decrease the vehicle's failure probability. The maintenance suggestions can be generated by analyzing data from historical vehicle data to identify actions that improved the operational state for the same vehicle and/or similar vehicles.

In order to improve the adaptability of diagnosis of an operating state of a field device, a field device 10 according to the present disclosure has a diagnoser 17 configured to diagnose an operating state of the field device 10 by hierarchically implementing a plurality of diagnostic processes. The diagnoser 17 can select whether to enable or disable a diagnostic result of at least one diagnostic process of a plurality of diagnostic processes in a diagnostic process after the one diagnostic process.

In order to improve the adaptability of diagnosis of an operating state of a field device, a field device 10 according to the present disclosure has a diagnoser 17 configured to diagnose an operating state of the field device 10 by hierarchically implementing a plurality of diagnostic processes. The diagnoser 17 can select whether to enable or disable a diagnostic result of at least one diagnostic process of a plurality of diagnostic processes in a diagnostic process after the one diagnostic process.