This application relates to the field of fiber-optic communication technologies, and provides a fault locating method, apparatus, and system. The method includes: obtaining a first correspondence between a receive time and receive power during reverse backhaul that occurs when a test optical signal that can be reflected by a reflection component disposed at each port of at least one stage of optical splitter is in downlink transmission in an ODN, where reverse backhaul includes backscatter and reflection or includes backscatter; determining, based on the first correspondence, a second correspondence between a transmission distance and receive power during reverse backhaul that occurs when a test optical signal is in downlink transmission in an optical fiber between each port of the at least one stage of optical splitter and a component connected to the port; and locating a fault in the ODN based on the second correspondence.

Provided are an alarm processing method and apparatus for an optical transport network, a network management system and a non-transitory computer readable storage medium. The alarm processing method for an optical transport network may include: acquiring intra-layer alarms of respective layers of a service layer by layer; acquiring a root alarm of an associated layer corresponding to a current layer based on the intra-layer alarms; and determining a service fault point based on the root alarm.

An apparatus includes a reconfigurable optical add/drop multiplexer (ROADM) having an input port to receive a first optical signal from a second device. The ROADM also includes a first wavelength selective switch (WSS), in optical communication with the input port, to convert the first optical signal into a second optical signal, a loopback, in optical communication with the first WSS, to transmit the second optical signal, and a second WSS, in optical communication with the loopback, to convert the second optical signal to a third optical signal and direct the third optical signal back to the second device via the input port.

A device may monitor a communication between network devices for an error associated with the communication. The device may detect the error associated with the communication between the network devices. The device may perform a comparison of an error metric and a threshold error metric. The error metric may be associated with the error. The device may determine whether the comparison indicates that the error metric satisfies the threshold error metric. The device may identify a source of the error using a loopback test based on determining whether the comparison indicates that the error metric satisfies the threshold error metric. The device may provide error source information based on identifying the source of the error. The error source information may identify the source of the error.

A transmitter can include a laser operable to output an optical signal; a digital signal processor operable to receive user data and provide electrical signals based on the data; and a modulator operable to modulate the optical signal to provide optical subcarriers based on the electrical signals. A first one of the subcarriers carriers carries first TDMA encoded information and second TDMA encoded information, such that the first TDMA encoded information is indicative of a first portion of the data and is carried by the first one of the subcarriers during a first time slot, and the second TDMA encoded information is indicative of a second portion of the data and is carried by the first one of the subcarriers during a second time slot. The first TDMA encoded information is associated with a first node remote from the transmitter and the second TDMA encoded information is associated with a second node remote from the transmitter. A second one of the subcarriers carries third information that is not TDMA encoded, the third information being associated with a third node remote from the transmitter. A receiver and system also are described.

Techniques for creating a design for a physical device are disclosed. A computing system receives a design specification. The design specification includes a design region, one or more ports, and a port location perimeter. The computing system determines an initial proposed design based on the design specification that includes the design region and a location for each port of the one or more ports within the port location perimeter. The computing system optimizes the design region of the initial proposed design to create an improved design region, and optimizes at least one location of a port of the one or more ports within the port location perimeter to create an improved proposed design.

This application discloses a same-cable probability detection method. The method includes: obtaining a first characteristic parameter of a first optical signal and a second characteristic parameter of a second optical signal, where the first optical signal is a signal transmitted in a first optical fiber, the second optical signal is a signal transmitted in a second optical fiber, the first characteristic parameter is generated after the first optical signal is affected by a vibration of the first optical fiber, and the second characteristic parameter is generated after the second optical signal is affected by a vibration of the second optical fiber; and obtaining, based on the first characteristic parameter and the second characteristic parameter, a probability that at least one optical cable segment of the first optical fiber and at least one optical cable segment of the second optical fiber include a same-cable segment.

An optical system (100) is described including: a reconfigurable optical device (103) with multiplexing wavelength division, comprising a plurality of actuators (A1-AN) and having associated a number of optical channels (M) and a number of degrees of freedom (N) lower than the number of optical channels; an optical stimulus source (106) connected to said reconfigurable optical device (103) to provide an optical stimulation signal (S.sub.in) having a wavelength band including a plurality of wavelengths associated with the optical channels; an optical-electric conversion device (200) configured to receive from said reconfigurable optical device (103) an optical monitoring signal (S.sub.out) corresponding to the optical stimulation signal (S.sub.in) and to provide a group of electrical signals of intensity (S.sub.EL1-S.sub.ELK) each representative of an intensity of the optical monitoring signal (S.sub.out) evaluated at a relative wavelength included in said band. The system also includes a control device (110) configured to control the plurality of actuators (A1-AN) according to said group of electrical signals (S.sub.EL1-S.sub.ELK) and according to a control law.

The present disclosure provides a method and system for configuring an optical time domain reflectometer (OTDR) in a gigabit passive optical networks (PON), characterized by the steps of: collecting network data of the network to be scanned by switch controller to characterize said network; collecting data from various optical network terminals (ONTs) of the gigabit passive optical networks (GPON) by an OTDR and the Switch Controller to form a training database, the training data is used to train the method; optimizing the parameters of the optical time domain reflectometer (OTDR) based on the network data and the training database by a processor provided on the switching controller using machine learning. For point-to-multipoint (PMP) networks such as PON, the present method and system provides optimal set of parameters to configure OTDR before performing trace.

In an embodiment, a data collection method includes: collecting, by a data collection device, performance indicator data of a target device based on a collection periodicity; detecting change amplitude of the collected performance indicator data that is in a change detection window, where the change detection window includes multiple collection periodicities; and when it is detected that change amplitude of the performance indicator data that is in the change detection window is greater than or equal to a change detection threshold, sending the performance indicator data that is in the change detection window to a data analysis device.