A control system for an autonomous vehicle or robot comprises a plurality of high level controllers. Each high level controller is able to provide high level movement commands independently of the other high level controllers. A low level controller is arranged to receive the high level movement commands of one of the high level controllers and to convert said received high level movement commands into electrical outputs to a plurality of electrical motors/actuators for driving the vehicle/robot. A decision system, independent of the high level controllers, is configured to decide which one of the high level controllers is to be active. The active high level controller only is used provide the high level movement commands to the low level controller.

A control system for an autonomous vehicle or robot comprises a plurality of high level controllers. Each high level controller is able to provide high level movement commands independently of the other high level controllers. A low level controller is arranged to receive the high level movement commands of one of the high level controllers and to convert said received high level movement commands into electrical outputs to a plurality of electrical motors/actuators for driving the vehicle/robot. A decision system, independent of the high level controllers, is configured to decide which one of the high level controllers is to be active. The active high level controller only is used provide the high level movement commands to the low level controller.

Methods and systems for determining elevator car locations are provided. Aspects includes operating, by a processor, a machine room sensor to collect vibration data associated with one or more components in a machine room of an elevator system, wherein the elevator system comprises an elevator car and a hoistway and analyzing the vibration data to determine a position of the elevator car in the hoistway.

Methods and systems for determining elevator car locations are provided. Aspects includes operating, by a processor, a machine room sensor to collect vibration data associated with one or more components in a machine room of an elevator system, wherein the elevator system comprises an elevator car and a hoistway and analyzing the vibration data to determine a position of the elevator car in the hoistway.

In a data obtaining step, a data obtaining unit may obtain certain data at a plurality of sampling times. The data may include measurement information regarding the amount of wear of the cutting tool and measurement information regarding a physical quantity of the cutting tool during cutting. In a clustering step, a clustering unit may cluster a plurality of pieces of the obtained data on the basis of the measurement information regarding the physical quantity included in each of the plurality of pieces of data. In a model creation step, a model creation unit may create, for each of clusters on the basis of the measurement information regarding the physical quantity and the measurement information regarding the amount of wear included in the data, a model for obtaining estimation information regarding the amount of wear from new measurement information regarding the physical quantity.

In a data obtaining step, a data obtaining unit may obtain certain data at a plurality of sampling times. The data may include measurement information regarding the amount of wear of the cutting tool and measurement information regarding a physical quantity of the cutting tool during cutting. In a clustering step, a clustering unit may cluster a plurality of pieces of the obtained data on the basis of the measurement information regarding the physical quantity included in each of the plurality of pieces of data. In a model creation step, a model creation unit may create, for each of clusters on the basis of the measurement information regarding the physical quantity and the measurement information regarding the amount of wear included in the data, a model for obtaining estimation information regarding the amount of wear from new measurement information regarding the physical quantity.

A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

Provided are an interruption recovery method for a machine tool machining file and a machine tool applying the method. The interruption recovery method includes: generating first check information when a machine tool machining file is executed, the machine tool machining file being stored in an external memory; generating second check information when the machine tool machining file is re-executed after an interruption occurs; comparing the first check information and the second check information to determine whether the machine tool machining file is changed before and after the interruption; and recovering the execution of the machine tool machining file when the first check information matches the second check information. By generating and comparing the check information before and after the interruption to verify the integrity and consistency of data of the machine tool machining file, the machine tool machining can be carried out accurately and unerringly.

Provided are an interruption recovery method for a machine tool machining file and a machine tool applying the method. The interruption recovery method includes: generating first check information when a machine tool machining file is executed, the machine tool machining file being stored in an external memory; generating second check information when the machine tool machining file is re-executed after an interruption occurs; comparing the first check information and the second check information to determine whether the machine tool machining file is changed before and after the interruption; and recovering the execution of the machine tool machining file when the first check information matches the second check information. By generating and comparing the check information before and after the interruption to verify the integrity and consistency of data of the machine tool machining file, the machine tool machining can be carried out accurately and unerringly.