Embodiments provide a fault detection method and device. The method includes obtaining first detection logic, where the first detection logic includes a plurality of detection events and indicates a logical relationship between the plurality of detection events, a single detection event includes identification information of a to-be-detected device, a detection instruction, and identification information of a fault event, and identification information of to-be-detected devices that is in the plurality of detection events is partially the same; in response to the obtained first detection logic, successively executing corresponding detection instructions on to-be-detected devices in single detection events based on the logical relationship between the plurality of detection events, and receiving an execution result returned by the to-be-detected device; and if it is detected that the execution result includes the identification information of the fault event, determining that the fault event exists. In this application, the fault detection device automatically queries statuses of a plurality of to-be-detected devices, and quickly determines the fault event, so that a fault that occurs in an application scenario can be accurately located.

An appliance management system includes a plurality of appliances connected to a network and a portable terminal. Each of the appliances includes a sensor configured to detect an abnormality of the appliance, and a first near field wireless communication module configured to broadcast an identifier of the appliance when the sensor detects the abnormality. The portable terminal includes a second near field wireless communication module and a controller. The controller is configured to control the second near field wireless communication module to transmit an access request to an abnormal appliance upon the second near field wireless communication module receiving an identifier of the abnormal appliance. The terminal controller is also configured to control a display to display an abnormality screen including the identifier of the abnormal appliance upon the second near field wireless communication module receiving abnormality information from the abnormal appliance.

Exemplary embodiments provide computer-implemented methods, mediums, and apparatuses configured to provide an interactive analytical method debugger for an analytical laboratory system. The analytical laboratory system may include a laboratory analytical device with a number of settings, parameters, etc. The laboratory analytical device may process a sample according to an analytical method that (among other things) defines a configuration for the device. The settings for the method may be organized into categories. The interactive debugger identifies problems with the method (e.g., incompatibilities, values out of range, etc.) and automatically allow the user to view the category of the method that is relevant to addressing the issue. Possible solutions may be proposed in the debugger interface, allowing the user to quickly identify and address the problem. Embodiments are particularly well-suited to situations where a method is ported from an old device to a new device.

Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

The present disclosure provides techniques for predicting failure of power switches and taking action based on the predictions. In an example, a method can include controlling the at least two parallel-connected power switches via a first driver and a second driver, the first a second driver responsive to a single command signal, measuring a failure characteristic of a first power switch, and disabling a first driver of the first power switch when the first failure characteristic exceeds a failure precursor threshold.

A disclosed example meter to monitor a media device includes a touch sense circuit including a circuit input and a circuit output, the circuit input to electrically couple with a first power line of the meter and a capacitor, the circuit output to provide a first value based on the capacitor when the first power line of the meter is not electrically coupled with a second power line of the media device, the circuit output to provide a second value different from the first value when the first power line of the meter is electrically coupled with the second power line of the media device. The disclosed example meter also includes at least one processor to detect the first power line of the meter is not electrically coupled with the second power line of the media device when the circuit output of the touch sense circuit provides the first value.

A device may include a memory storing instructions and a processor configured to execute the instructions to receive an instruction from an administration device; identify a link selector in the instruction that corresponds to a resource attribute of a first resource that specifies how a second resource is to be controlled by the first resource; query a database of contracts between resources to determine that the second resource is available to be controlled by the first resource, based on resource contracts associated with the second resource. The processor may be further configured to generate a resource contract between the first resource and the second resource that indicates the second resource is controlled by the first resource and enable the first resource to communicate with the second resource in accordance with the generated resource contract.

Ensuring the high availability of a Passive Optical Network (PON). A broadband network architecture comprises (a) at least a portion of optical fiber in a communication path to individual subscriber premises, (b) one or more software-implemented Optical Line Terminal (OLT) Controllers, (c) one or more software-implemented Service Provisioning Applications (SPAs), and (d) one or more software-implemented Broadband Network Gateways (BNGs). Each of the one or more OLT Controllers, one or more SPAs, and one or more BNGs execute on Commercial Off-the-Shelf (COTS) computer systems and entirely upon a plurality of protection groups. Each of the plurality of protection groups consists of a plurality of pods. The pods in a particular protection group which are active are dynamically adjusted to ensure the high availability of the broadband network architecture.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

A computer of a resource monitoring system is configured to execute an application for analyzing an operation of an industrial device. A use status acquisition module is configured to acquire a use status of a resource of the computer by the application. A display control module is configured to display the use status on a resource monitoring screen.