Abstract: A system for inductive heating of an aircraft surface includes a conductive outer layer configured to be located on an outer portion of the aircraft surface. The system further includes a carbon nanotube (CNT) yarn configured to receive and conduct electrical current. The system further includes an insulator located between the conductive outer layer and the CNT yarn such that the electrical current flowing through the CNT yarn generates induction heating on the conductive outer layer.

Abstract: A system for inductive heating of an aircraft surface includes a conductive outer layer configured to be located on an outer portion of the aircraft surface. The system further includes a carbon nanotube (CNT) yarn configured to receive and conduct electrical current. The system further includes an insulator located between the conductive outer layer and the CNT yarn such that the electrical current flowing through the CNT yarn generates induction heating on the conductive outer layer.

Abstract: A first air data value is generated based on a first set of parameters. A second set of parameters that does not include any of the first set of parameters is processed through an artificial intelligence network to generate a second air data value. The second set of parameters is processed through a plurality of diagnostic artificial intelligence networks to generate a plurality of diagnostic air data values. Each of the plurality of diagnostic artificial intelligence networks excludes a different one of the second set of parameters. One of the second set of parameters is identified, based on the first air data value and the plurality of diagnostic air data values, as a fault source parameter that is associated with a fault condition.

Abstract: A method of making a hoist cable capable of continuous resistance monitoring includes applying an electrically-insulating material to at least one strand of a wire rope such that a length of the strand is electrically insulated and an end of the strand is electrically conductive. The end of the at least one strand is joined to other strands of the wire rope such that at least two strands are electrically connected at a free end of the wire rope. A method of inspecting the hoist cable includes transmitting a first electrical signal through a first strand from a hoist drum to a free end of the wire rope and receiving the first electrical signal through a second strand at the hoist drum, the first and second strands being electrically connected at the free end. Using the first electrical signal, the resistance of the wire rope is calculated.

Abstract: A first air data value is generated based on a first set of parameters. A second set of parameters that does not include any of the first set of parameters is processed through an artificial intelligence network to generate a second air data value. The second set of parameters is processed through a plurality of diagnostic artificial intelligence networks to generate a plurality of diagnostic air data values. Each of the plurality of diagnostic artificial intelligence networks excludes a different one of the second set of parameters. One of the second set of parameters is identified, based on the first air data value and the plurality of diagnostic air data values, as a fault source parameter that is associated with a fault condition.

Abstract: A method of making a hoist cable capable of continuous resistance monitoring includes applying an electrically-insulating material to at least one strand of a wire rope such that a length of the strand is electrically insulated and an end of the strand is electrically conductive. The end of the at least one strand is joined to other strands of the wire rope such that at least two strands are electrically connected at a free end of the wire rope. A method of inspecting the hoist cable includes transmitting a first electrical signal through a first strand from a hoist drum to a free end of the wire rope and receiving the first electrical signal through a second strand at the hoist drum, the first and second strands being electrically connected at the free end. Using the first electrical signal, the resistance of the wire rope is calculated.

Abstract: A near-optimal scheduling method for a group of elevators uses advance traffic information. More particularly, advance traffic information is used to define a snapshot problem (24) in which the objective is to improve performance for customers. To solve the snapshot problem (24), the objective function is transformed into a form to facilitate the decomposition of the problem into individual car subproblems (26). The subproblems (26) are independently solved using a two-level formulation, with passenger to car assignment (28) at the higher level, and the dispatching of individual cars (30) at the lower level. Near-optimal passenger selection and individual car routing (38) are obtained. The individual cars are then coordinated through an iterative process (40, 42) to arrive at a group control solution that achieves a near-optimal result for passengers.

Abstract: A device (22) manages power source variations in an elevator system. The device includes a transformer (60) having a primary (62) and a secondary (64). An input of the elevator system is connected to the secondary (64). Tap switches (66a, 66b, 66c, 66d) are connected to the transformer (60) such that each tap switch is connected to a tap point (68a, 68b, 68c, 68d) on the transformer (60). A controller (54) operates the tap switches (66a, 66b, 66c, 66d) based on a sensed power source output to provide power on the secondary (64) within a tolerance band of the elevator system.

Abstract: A near-optimal scheduling method for a group of elevators uses advance traffic information. More particularly, advance traffic information is used to define a snapshot problem (24) in which the objective is to improve performance for customers. To solve the snapshot problem (24), the objective function is transformed into a form to facilitate the decomposition of the problem into individual car subproblems (26). The subproblems (26) are independently solved using a two-level formulation, with passenger to car assignment (28) at the higher level, and the dispatching of individual cars (30) at the lower level. Near-optimal passenger selection and individual car routing (38) are obtained. The individual cars are then coordinated through an iterative process (40, 42) to arrive at a group control solution that achieves a near-optimal result for passengers.

Abstract: A near-optimal scheduling method for a group of elevators uses advance traffic information. More particularly, advance traffic information is used to define a snapshot problem (24) in which the objective is to improve performance for customers. To solve the snapshot problem (24), the objective function is transformed into a form to facilitate the decomposition of the problem into individual car subproblems (26). The subproblems (26) are independently solved using a two-level formulation, with passenger to car assignment (28) at the higher level, and the dispatching of individual cars (30) at the lower level. Near-optimal passenger selection and individual car routing (38) are obtained. The individual cars are then coordinated through an iterative process (40, 42) to arrive at a group control solution that achieves a near-optimal result for passengers.

Abstract: Controlling the movement of elevator cars (22, 24) within a single hoistway (26) prevents the cars from becoming too close while servicing assigned stops. Example control techniques include controlling door operation of at least one of the elevator cars (22, 24) to effectively slow down a follower car or speed up a leader car for increasing a distance between the cars in an area within the hoistway (26) where the cars would otherwise be too close to each other.

Abstract: An elevator control system (24) provides elevator dispatch and door control based on passenger data received from a video monitoring system. The video monitoring system includes a video processor (16) connected to receive video input from at least one video camera (12). The video processor (16) tracks objects located within the field of view of the video camera, and calculates passenger data parameters associated with each tracked object. The elevator controller (24) provides elevator dispatch (26), door control (28), and security functions (30) based in part on passenger data provided by the video processor (16). The security functions may also be based in part on data from access control systems (14).

Abstract: A system (10) manages power from a secondary power (30) source to supply power to elevator and building systems (18) after failure of a primary power source (20). An available power monitor provides a measure or estimate (such as state-of-charge) of the power available from the secondary power source. A demand monitoring system (46) generates a signal related to passenger demand for each elevator in the elevator system. A controller (34) then prioritizes allocation of power from the secondary power source to the elevator and building systems based on the available power from the secondary power source and the passenger demand in the elevator system.

Abstract: A method for determining a suitable configuration for an elevator system for a building that includes acquiring building related information and passenger use information. Elevator system performance requirements based on elevator system passenger numbers are selected based on this information followed by selecting a set of elevator system characteristic variables that are desired to be at optimal values which are processed along with the information and performance requirements to provide an optimal solution.

Abstract: A device (22) manages power source variations in an elevator system. The device includes a transformer (60) having a primary (62) and a secondary (64). An input of the elevator system is connected to the secondary (64). Tap switches (66a, 66b, 66c, 66d) are connected to the transformer (60) such that each tap switch is connected to a tap point (68a, 68b, 68c, 68d) on the transformer (60). A controller (54) operates the tap switches (66a, 66b, 66c, 66d) based on a sensed power source output to provide power on the secondary (64) within a tolerance band of the elevator system.

Abstract: Controlling the movement of elevator cars (22, 24) within a single hoistway (26) prevents the cars from becoming too close while servicing assigned stops. Example control techniques include controlling door operation of at least one of the elevator cars (22, 24) to effectively slow down a follower car or speed up a leader car for increasing a distance between the cars in an area within the hoistway (26) where the cars would otherwise be too close to each other. Disclosed example techniques also include dynamically altering the motion profile of at least one of the cars and adding an additional stop for one of the cars.

Abstract: A near-optimal scheduling method for a group of elevators uses advanced traffic information. More particularly, advanced traffic information is used to define a snapshot problem in which the objective is to improve performance for customers. To solve the snapshot problem, the objective function is transformed into a form to facilitate the decomposition of the problem into individual car subproblems. The subproblems are independently solved using a two-level formulation, with passenger to car assignment at the higher level, and the dispatching of individual cars at the lower level. Near-optimal passenger selection and individual car routing are obtained. The individual cars are then coordinated through an iterative process to arrive at a group control solution that achieves a near-optimal result for passengers.