A device information providing apparatus includes: a central processing unit (CPU) that: transmits an acquisition request for acquiring a first data to a device installed in a plant; and provides, to a control apparatus for controlling the plant, second data output from the device, wherein the second data is acquired by performing a predetermined process for the first data detected by the device; and a storage that stores the first data output from the device based on the acquisition request. The CPU further provides the first data stored in the storage to outside of the device information providing apparatus based on a use request input from the outside.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. Several communications from autonomous vehicles may be received at a computing device, where the autonomous vehicles are travelling within a threshold distance of each other. Each communication may include an indication of the next waypoint on a route for the respective vehicle. The computing device may analyze the communications to determine maneuvers for the autonomous vehicles so that each autonomous vehicle may navigate to the corresponding waypoint in the least amount of time or distance. The computing device also may cause each of the autonomous vehicles to move in accordance with the maneuvers for the respective vehicle.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. A risk of malfunction and/or cyber-attack may be determined by collecting operating data from a plurality of autonomous vehicles and/or smart homes. The operating data may be analyzed to identify occurrences of a component malfunctioning. For each component, a risk associated with malfunctioning and/or cyber-attack may be determined based upon the identified occurrences. Based on the risks, at least one result associated with the malfunction and/or cyber-attack may be determined. A component profile may be generated based upon the determined risk and/or the impact of the determined results.

Analysis of a natural energy power source linked to many locations requires an extremely large amount of computation time, so the calculation time is shortened by means of a reduction. However, the determination as to whether each natural energy power source can be reduced is not made in accordance with grid accident conditions, so the analytical precision of a grid reduction model is low. To solve this problem, the present invention is a power grid model analysis device that creates a reduced analysis model for a power grid, and is characterized by being equipped with an accident condition setting unit that sets an accident condition that includes the location and the nature of an accident in the power grid, and a natural energy reduction site determination unit that, on the basis of the accident condition and the voltage state at the time of the accident, determines whether a power grid that includes a natural energy power source can be reduced, wherein the natural energy reduction site determination unit determines that reduction is not possible when a natural energy power source for which reduction is not possible exists within a prescribed range of the power grid, and determines that reduction is possible when a natural energy power source for which reduction is not possible does not exist within the prescribed range of the power grid.

Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

A method, apparatus, and system are for determining signal rules and annotating data. The method, according to an embodiment, includes: determining data obtaining logic based on assembly model information corresponding to the assembly; wherein the data obtaining logic includes a to-be-obtained data object and an obtaining rule; determining at least one physical signal corresponding to the data obtaining logic; and determining, based on the data obtaining logic and the at least one physical signal corresponding to the data obtaining logic, a signal rule corresponding to the obtaining rule. By annotating the running data of an assembly, the context of the data may be indicated, so that the running data of the assembly can be made more consistent, easier to maintain, and/or applied to a new environment. Moreover, since the annotation information of data can adopt a common format, it may be more suitable for information migration and system configuration.

An article of manufacture including a tangible, non-transitory computer-readable storage medium having instructions stored thereon for detecting a fault in a gas turbine engine that, in response to execution by a controller, cause the controller to perform operations comprising receiving, by the controller, a first data output from a first flight data source; receiving, by the controller, a second data output from a second flight data source; determining, by the controller, a first flight realm of the first data output based on the second data output; identifying, by the controller, a fault threshold using a first parameter of the first flight realm; and comparing, by the controller, the first data output to the fault threshold.

Systems and methods for assessing the health of a first apparatus by monitoring a second apparatus are described herein. A method for monitoring a health of a first apparatus may comprise receiving a performance parameter from a second apparatus, wherein performance of the second apparatus is dependent upon the health of the first apparatus, assessing the performance parameter, and determining the health of the first apparatus. In various embodiments, the performance parameter may comprise at least one of a speed value of the second apparatus, a position value of the second apparatus, a temperature value of the second apparatus, or a time value of the second apparatus.

A method and apparatus are for abnormality detection. The method includes: acquiring an estimated value of a movement parameter of a mobile platform of a parallel robot. The estimated value is calculated based on sensing information about a sensor mounted on the mobile platform. Based on the estimated value and a designated value of the movement parameter, the method includes determining whether an abnormality occurs in the parallel robot. By way of the method and apparatus, abnormality of a parallel robot can be detected reliably.