Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

A method and system for communicating with IoT devices connected to a vehicle to gather information related to device operation or performance is disclosed. The system makes a copy of at least a portion of the device's non-volatile memory and/or receives IoT device data (e.g., sensor data and/or log files etc.) from an IoT device that recently failed. The system determines which log files and/or sensor data, for example, the IoT device created before and/or after a failure. After gathering this information, the system stores the information, sends it to a storage destination for further analysis and diagnostics to troubleshoot the failure and send a fix or software update to the IoT device. The information can also be placed into secondary storage to comply with regulatory, insurance, or legal purposes.

A computer system installed on board a carrier, communicating in a network with a data concentrator and with a monitor, and implementing at least one service that is critical for the operating safety of the carrier, the critical service being redundant in at least two instances (δ.sub.1, . . . δ.sub.m) on different respective computers (C.sub.1, . . . , C.sub.m) connected to the network, each computer (C.sub.k) implementing at least one software task implementing an instance (δ.sub.k) of the critical service being configured to implement the critical service by way of time control.

A modular control device for a vehicle comprises: a base frame mounted on the vehicle; and an upgrade frame detachably mounted on the base frame. A first printed circuit board (PCB), on which a base block for providing an interface with devices in the vehicle is implemented, is mounted on the base frame. A second PCB having a memory and a main processor is mounted on the upgrade frame.

To provide a device state monitoring system capable of monitoring an operating status of a device in detail. The device state monitoring system includes: a collection unit that acquires, from a device which executes a series of processes, operating information about the device in a time-series manner; and a process determination unit that performs matching of the operating information acquired by the collection unit with matching data obtained by modeling the operating information acquired from the device when the device is in each of the processes, and determines process information concerning the process which the device is executing.

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.

A quality score for a computer application release is determined using a first number of unique users who have launched the computer application release on user devices and a second number of unique users who have encountered at least once an abnormal termination with the computer application release on user devices. Additionally or optionally, an application quality score can be computed for a computer application based on quality scores of computer application releases that represent different versions of the computer application. Additionally or optionally, a weighted application quality score can be computed for a computer application by further taking into consideration the average application quality score and popularity of a plurality of computer applications.

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, apparatuses, and methods related to using memory device sensors are described. Some memory system or device types include sensors embedded in their circuitry. For instance, another device can be coupled to a memory device with an embedded sensor. The memory device can transmit a signal representing sensor data generated by the embedded sensor using a sensor output coupled to the other device. A controller coupled to a memory device may determine one or more threshold values of a sensor or sensors embedded in a memory device. The memory device may transmit an indication responsive to one or more sensors detecting a value greater or less than a threshold and may transmit the indication to another device.

A message processing method, applied to a terminal device including a modem, includes: monitoring a running state of the modem, and restarting the modem when it is monitored that the modem crashes; and maintaining a communication connection state, and prohibiting notification of a modem crash message to a user. By maintaining a normal communication state after the modem crashes, it is ensured that the user continues to use the various services of the terminal normally to avoid the interruption of the ongoing business of the user; and the terminal resumes normal operation after the modem is restarted, and the user does not perceive that the modem has ever crashed, thereby maintaining the experience of using the terminal normally all the time.