310 results about "Cable network" patented technology

The invention relates to the technical field of cable testing, and discloses an electric wire and cable defect fault detection method and device, and the method comprises the steps: obtaining the burying trend information of a target cable and the test characteristics of a test item, analyzing and determining the position of a cable detection end point, deploying a corresponding detection instrument according to the position of the detection end point, and carrying out the detection. A plurality of tests including electric pulse reflection test, sheath grounding circulation test, infrared temperature measurement test and the like are carried out by using deployed instruments, multi-item test data of the cable are acquired, comprehensive analysis is carried out on the multi-item test data, defects and faults of the cable are accurately positioned, the accuracy and efficiency of fault positioning are improved, and the system can adapt to a complex cable network environment and is suitable for popularization and application. The method has high flexibility and practicability, and solves the problem that cable defects and faults are difficult to accurately position in the prior art.

The invention discloses a long-distance communication trunk optical cable fault positioning method and system, and the method comprises the steps: determining a monitoring demand, configuring an optical power meter, an optical spectrum analyzer and an OTDR, installing the optical power meter, the optical spectrum analyzer and the OTDR at a node, connecting monitoring equipment and a data collection system, configuring collection frequency, a threshold value, a storage and transmission strategy, configuring a data analysis algorithm, and starting the monitoring system to collect data. The optical cable performance is monitored in real time, data are automatically analyzed to identify abnormity, a fault alarm is generated and notified to maintenance personnel, and the data are integrated to automatically calculate the fault position. The fault detection and positioning efficiency is improved, the network reliability and maintenance efficiency are enhanced, and guarantee is provided for stable operation of the optical cable network.

Systems and methods for guaranteeing end-to-end QoS for wireless connections over a cable network are disclosed. Provisioning of on-demand guaranteed bandwidth connection over a cable network uses mechanisms from DOCSIS domain and Wi-Fi domain. A multi-domain orchestrator is implemented to control both domains. A bandwidth request is received from a client device connecting to a network service provider access point. The bandwidth request is updated for both domains with results of speed test of the wireless link if the speed test results are lower than the bandwidth request. The orchestrator and client device negotiate the bandwidth request using a three-way handshake over PacketCable Multimedia (PCMM) protocol. If the available bandwidth on either the DOCSIS or wireless link is less than the bandwidth request, the orchestrator generates a new bandwidth offer. If the client device accepts the offer, the orchestrator configures the DOCSIS and wireless links using their respective domain protocols to provision the connection with guaranteed end-to-end bandwidth.

The invention discloses an optical cable topology visualization monitoring analysis system and method, and relates to the technical field of optical cable monitoring. According to the optical cable topology visual monitoring analysis system and method, the complex dependency relationship between optical cable network equipment is accurately captured by using the graph neural network, and the wavelength division multiplexing, OTDR test and optical power measurement technologies are fused, so that online monitoring without interrupting service communication is realized, the real-time performance and efficiency of monitoring are improved, the positioning precision of optical cable broken fibers can be improved, and the optical cable topology visual monitoring analysis system and method are suitable for popularization and application. Through new and old OTDR curve comparison and big data analysis, optical fiber aging and degradation trends are pre-judged in advance, accurate active operation and maintenance are realized, the probability of optical cable fault occurrence is reduced, the reliability and stability of a network are improved, and by cooperating with visual display of a complex power grid optical cable map, the method has the advantages of high accuracy and high reliability. The topological structure and the geographic position of the optical cable are visually displayed by fusing multiple levels, clear visual information is provided for operation and maintenance personnel, and management and decision making are facilitated.

The invention discloses an intelligent cable fault positioning and diagnosing method and system based on double-end traveling waves, and relates to the technical field of cable fault positioning and diagnos.The method comprises the steps that monitoring systems are synchronously arranged at the two ends of a cable line, a self-adaptive signal adjusting mechanism is designed, and double-end data of a transmitting signal and a receiving signal are processed based on the double-end traveling waves; and constructing a topological structure model of the cable network by using the double-end traveling wave data features, training a fault point location by using a double-end data fault training model, and completing diagnosis of intelligent positioning of a cable fault. According to the invention, the problems of signal attenuation and noise interference are solved, the identification capability of a small partial discharge phenomenon is enhanced, the accurate positioning of a fault point in a complex multi-branch cable network is realized, the state of the cable network can be updated in real time, the method adapts to environmental changes, and the timeliness of a diagnosis result is ensured.

An intelligent monitoring and testing system for a cable network determines measurements for a cable plant (CP), including cable modems (CMs) and common network elements, Metrics determined from the measurements are analyzed to detect a service issue and a service sub-issue. Machine learning is applied to the metrics and other related data to determine an optimized workflow for diagnosing, locating, and remediating the service issue and service sub-issue.

An optical cable online operation and maintenance situation intelligent assessment method relates to the technical field of data processing, and comprises the following steps: obtaining physical parameters along an optical cable, and carrying out statistical analysis on the physical parameters to obtain a stability coefficient of the physical parameters along the optical cable; constructing a spacing distance comparison table, and laying Internet of Things monitoring nodes along the optical cable according to the stability coefficient of the physical parameters along the optical cable and the spacing distance comparison table; performing real-time monitoring on physical parameters and network performance indexes along the optical cable, and generating an abnormal alarm signal or performing situation analysis along the optical cable according to a monitoring result; when optical cable line situation analysis is carried out, feature extraction is carried out on physical parameters and network performance indexes in a historical acquisition period along an optical cable in advance, a state estimation model is constructed according to a feature extraction result, and estimation marking is carried out on a current acquisition period according to the state estimation model. The optical cable along the line is detected in advance according to a pre-estimation marking result, and the safety and reliability of an optical cable network are remarkably improved.

Systems and methods for cable inspection using optical fiber sensing includes a hardware processor and a memory storing a computer program which, when executed by the hardware processor, causes the hardware processor to collect data from a fiber optic cable and analyze the data with a distributed fiber optic sensing (DFOS) system. Losses and anomalies and their locations are identified in the cable. An alert is generated based on the losses and anomalies.

The invention discloses a cable three-dimensional modeling method and device based on a video stream and a key frame, and belongs to the technical field of three-dimensional modeling of power system cable equipment, and the method comprises the following steps: constructing a dynamic truncation symbol field based on camera video stream data, and extracting a cable surface grid; triggering key frame capture, and establishing a key frame database; performing multi-modal fusion on the video stream features and the key frame features to generate a cable deformable template; obtaining a first-order deformable template model based on the cable deformable template; constructing a staged multi-scale adversarial discriminator, and deploying convolution kernel optimization at different resolution levels to obtain a second-order deformable template model; performing covariance optimal registration on the scene point cloud reconstructed by the video stream and the second-order template point cloud to obtain a third-order optimization template model; and constructing a density sensing gradient field, and dynamically fusing the video stream and the key frame data to generate a cable three-dimensional scene model. According to the invention, the precision and real-time performance of cable network modeling in a complex environment are improved.

The embodiment of the invention discloses an optical cable detection method and device, electronic equipment and a storage medium, and the method comprises the steps: controlling an idle fiber core of a first optical cable to be in a conduction state under the condition that fault information of a first port of the first optical cable in an optical cable network is detected; under the condition that the idle fiber core of the first optical cable is in a conducting state, performing an optical time domain reflectometer bidirectional test on the idle fiber core to obtain a test curve image; according to the test curve image, a fault point distance is determined, and the fault point distance is the distance from a first fault point in the first optical cable to a starting point of the first optical cable; determining the position information of the first fault point according to the fault point distance and the optical cable information of the first optical cable; wherein the optical cable information comprises optical cable starting point longitude and latitude, distance length, port and electric pole position.

The invention provides a method and a system for predicting coordinates of free nodes of a cable net structure. The method comprises the following steps: acquiring prestress distribution of the cable net structure, coordinates of each boundary node and an optimized direction value of each free node; inputting each boundary node coordinate into a deep learning shape finding model, and outputting a coordinate prediction value of each free node; and calculating a loss function value of the deep learning form-finding model, adjusting parameters of the deep learning form-finding model to update the deep learning form-finding model until the loss function value is smaller than a set error, and obtaining a coordinate predicted value of each free node of the cable net structure. According to the method, the boundary node coordinates of the cable net structure serve as the input of the deep learning shape finding model, the optimized direction values of the free nodes are given, the deep learning shape finding model is used for predicting the free node coordinates of the cable net structure, the purpose of cable net structure shape finding is achieved, and compared with existing manual force finding, the calculation efficiency is high, and rapidness and accuracy are achieved.

The invention discloses a distributed cable fault traveling wave characteristic acquisition and positioning method, and relates to the technical field of cable faults, and the method comprises the steps: collecting traveling wave characteristic information through a branch point sensing unit, and sharing the collected traveling wave characteristic information through a communication network; constructing a dynamic topology awareness and network reconstruction framework, wherein weighted averaging comprises the step of allocating weights to data sources based on a signal-to-noise ratio, a topology distance and time consistency; and establishing a propagation path model of the traveling wave signal in the distributed cable, and defining a cable fault position positioning coordinate by using a hyperbolic positioning rule in combination with the propagation path model. The distributed cooperation capability of the system is enhanced, the whole scheme has good expansibility and adaptability while improving the positioning precision, the method can be widely applied to fault monitoring and management of a large-scale distributed cable network, the troubleshooting time is effectively shortened, the troubleshooting cost is effectively reduced, and powerful support is provided for intelligent operation and maintenance of a power system.

A space-deployable parabolic antenna back frame based on a thick plate origami structure relates to the field of aerospace equipment. Aiming at the problem of low folding and unfolding efficiency of traditional parabolic antennas, the present application introduces origami structure and modular design concepts into the design of a space-deployable parabolic antenna back frame. The deployable antenna back frame is a single-degree-of-freedom thick plate deployable mechanism composed of hinge connections. Different thick plate origami modules are connected and fixed in a given manner, and the drive can achieve stretching and surface deformation. By covering the surface of the antenna back frame with a flexible cable net, the folding and contraction deformation of the entire parabolic antenna back frame can be achieved. The initial shape of the back frame is the minimum shape, which can save the space occupied during launch. After the antenna is launched to the working position in space, the antenna back frame is unfolded by a motor drive to achieve the formation of the surface parabolic cable net, which can effectively improve the folding and unfolding efficiency of the antenna.

A method and apparatus for detecting and locating a fault in a cable network. A cable modem may perform channel estimation to obtain a time domain channel response on an echo channel in a cable network. The cable modem then analyzes the time domain channel response to determine whether there is any change from a previously obtained time domain channel response on the echo channel. If there is a change from the previously obtained time domain channel response, the cable modem may generate an alert for a fault in the cable network and estimate a location of the fault based on the time domain channel response. Calibration may be performed to determine a reference latency for a reflection occurred inside the cable modem, and the location of the fault may be estimated based on the reference latency.

The invention discloses an optical cable network automatic monitoring system based on industrial equipment, which relates to the field of industrial automation and comprises a dynamic monitoring module, an abnormity repairing module, a structure analysis module, a cloud management platform module, an automatic alarm module, a safety guarantee module, an intelligent maintenance module and an expansion compatible module. Wherein the output end of the dynamic monitoring module is connected with the input ends of the abnormity repairing module and the cloud management platform module; the output end of the abnormity repairing module is connected with the input end of the structure analysis module; the output end of the cloud management platform module is connected with the input end of the automatic alarm module; the output end of the automatic alarm module is connected with the input ends of the intelligent maintenance module and the safety guarantee module; the output ends of the safety guarantee module and the intelligent maintenance module are connected with the input ends of the cloud management platform module and the expansion compatibility module; according to the method, the problems that a fault point cannot be predicted, a network topology structure cannot be automatically identified and optimized and the compatibility is poor in a traditional monitoring system are solved.

An intelligent monitoring and testing system for a cable network determines measurements for a cable plant (CP), including cable modems (CMs) and common network elements. Metrics determined from the measurements are analyzed to detect a service issue and a service sub-issue. Machine learning is applied to the metrics and other related data to determine an optimized workflow for diagnosing, locating, and remediating the service issue and service sub-issue.

The invention discloses a cable sensor network time service compensation method, device and equipment and a medium, and belongs to the technical field of network time service, and the method comprises the following steps: collecting process historical data of a cable network actual error compensation system, and taking error data of a satellite second clock and a crystal oscillator second clock as an initial sample; aggregating the initial samples to obtain aggregated samples under each step size scale; constructing an error feature vector containing an aggregation sample of the current scale and an accumulated error of the current time point information; performing modeling on the error feature vectors by using a Gaussian-like process regression model to obtain a Gaussian-like process regression model of each step size scale; error estimation values of all step size scales are generated in sequence, and a time service error estimation value of the current moment is obtained by combining the difference error estimation values of the lowest step size scale and the highest step size scale; and compensating the accumulated error of the crystal oscillator clock based on the time service error estimation value at the current moment. According to the invention, the synchronization precision and practicability are improved.

The invention discloses a building energy-saving intelligent management and control method and system based on the Internet of Things, particularly relates to the technical field of intelligent building energy management, and is used for solving the problem that in the prior art, when building internal and external environment data are collected, resolution ratios of input data in the space-time dimension are not matched. The method comprises the following steps: acquiring Internet of Things sensor space-time distribution data of each area in a building; identifying space-time heterogeneity characteristics of data acquisition density and sampling frequency, and dynamically adjusting the sampling frequency of a low-frequency region; establishing a mapping relationship between the environmental parameters and the energy consumption parameters; traversing an instruction path and eliminating an inefficient instruction based on a conflict path weight; generating a regional differentiation energy-saving strategy and analyzing an electromagnetic interference distribution entropy value to insert an execution time difference; the optimized energy-saving strategy is executed; data acquisition optimization, energy consumption modeling precision and equipment instruction conflict resolution are realized, the reliability of an energy-saving strategy and the energy efficiency of the system are effectively improved, and the influence of electromagnetic interference on a building cable network is inhibited at the same time.

The invention provides a power distribution communication network optical cable fault prediction method and system based on machine learning. The method comprises the following steps: collecting Rayleigh scattering signals of a plurality of monitoring points along an optical cable; performing unsupervised learning on the optical cable adaptive reconstruction model, and calculating a reconstruction error matrix and an abnormal cumulative metric; constructing an optical cable network diagram, calculating a fault propagation probability matrix, predicting a future optical cable health index, and obtaining a future health index matrix; establishing an environment influence matrix, and adopting an optical cable environment adaptive filtering model; and based on the health index and the fault confidence coefficient matrix after filtering optimization, optical cable maintenance priority scores are calculated and sorted, and a self-adaptive inspection and maintenance strategy is formulated. According to the invention, high-precision monitoring, fault propagation prediction and environmental adaptability optimization of the health state of the optical cable are realized, and the intelligent level of operation and maintenance of the optical cable is improved.

The utility model discloses an electric power communication optical cable network monitoring device, and relates to the field of optical power meters. The device comprises a device body, the top of the device body is provided with an inserting end, the bottom of the inserting end is provided with a supporting rod, the outer side of the inserting end and the outer side of the supporting rod are provided with a protection mechanism, the protection mechanism comprises a movable sleeve, and the outer side of the movable sleeve is provided with a fixed sleeve. According to the utility model, through the protection mechanism, the movable sleeve and the thin film are reset under the pushing of the spring force, the thin film is enabled to cover the upper part of the plugging end again, protection is provided for the plugging end, due to the automatic reset characteristic of the thin film, the plugging end is prevented from being damaged, and the safety of the plugging end is improved. The situation that a traditional protection form such as a cover cap is not buckled with the plugging end due to forgetting or negligence is effectively avoided, so that the functional practicability and the operation convenience of the optical power meter are remarkably improved.

The invention discloses a cable deformation monitoring and early warning device and method, and belongs to the field of cable deformation monitoring and early warning. In order to solve the problems of cable insulation layer damage, conductor breakage and the like caused by condensation and icing in winter, displacement of an electric tower and the like, the invention provides a cable deformation monitoring and early warning device and method, and the device consists of a master station and N slave stations. The master station and the slave stations communicate through an ad hoc network, and the master station is responsible for receiving early warning signals from all the slave stations. The slave stations are installed at monitoring points of a cable network according to the serial number sequence, when the cable is subjected to external force, the length of the cable changes, the change is transmitted to the slave station shell through tension and then transmitted to the elastic conductor, the resistance value of the elastic conductor changes, and the slave stations indirectly monitor the cable by monitoring the change. And when the change exceeds a set range, the slave station sends an early warning signal with a self number to the master station, so that monitoring and early warning of the cable are realized.

The invention relates to the technical field of electric power, in particular to a cable accessory intelligent monitoring system based on multi-sensor fusion. In the scheme of the application, the preprocessing module performs preliminary data processing at the edge, so that the data transmission burden is reduced; the regional processing module can establish a dynamic communication group to realize efficient data interaction between nodes. And the dynamic communication group dynamically adjusts the communication link according to the actual operation condition of the cable accessory and the network state. When a new cable accessory is accessed or an existing accessory has a fault, the system can quickly complete the reconfiguration of a monitoring strategy and a communication link, ensures that the monitoring work is continuously and efficiently carried out, and effectively improves the adaptability and flexibility of the system in a dynamic change network environment. The regional processing module can perform cross-regional data fusion, considers cable operation characteristic differences in different regions, and integrates and analyzes data in a targeted manner. Therefore, the system can carry out fine management on a large-scale complex cable network and accurately identify associated faults among regions.

The invention relates to the technical field of optical cable route general survey, and discloses an optical cable route general survey method and device based on optical fiber vibration sensing, and the method comprises the steps: knocking at an optical cable pile point, and remotely controlling a pulse light source to send an optical pulse to an optical cable; collecting a vibration signal of the optical fiber, and dynamically adjusting the pulse width of the optical pulse; recognizing a knocking event in the vibration signal, and intercepting a knocking vibration fragment from the vibration signal; calculating characteristic parameters of the knocking vibration segment, and performing knocking feedback based on the characteristic parameters; calculating the optical cable length of the optical cable pile point, and recording latitude and longitude coordinates of the optical cable pile point; and determining the optical cable trend of the optical cable pile point through knocking, and drawing a routing diagram of the optical cable based on the latitude and longitude coordinates of the optical cable pile point, the optical cable length and the optical cable trend. According to the invention, the general survey efficiency of the optical cable route is improved, automatic drawing and visual display of the optical cable route are realized, and an optical cable network is convenient to manage and maintain.

A satellite cable laying operation platform relates to the technical field of satellite manufacturing, and comprises a platform main body, the platform main body comprises a bottom plate, two first side plates, two second side plates, a plurality of partition plates, a plurality of quick release positioning blocks and a middle beam, the bottom plate is rectangular, the two first side plates can respectively rotate around two short edges of the bottom plate, and the two second side plates can respectively rotate around two short edges of the bottom plate; the two second side plates can rotate around the two long edges of the bottom plate respectively, the partition plates are installed on the bottom plate, the quick-release positioning blocks are used for positioning the first side plates and the bottom plate when the first side plates are perpendicular to the bottom plate, and the middle beam is used for being arranged on the first side plates and the partition plates in a crossing mode. And the plurality of electrical interface simulation pieces are mounted on the platform main body and are used for laying cables. By simulating the satellite cabin environment and laying the cable, the wiring work in the satellite AIT link can be preposed, the reliability of the whole satellite cable network spatial layout can be verified in advance conveniently, the laid cable network can be directly used in the satellite AIT link in a component form, the satellite production efficiency is improved, and the satellite manufacturing period is shortened.

The invention discloses an aircraft cable network layout determination method, device and equipment, a medium and a product. The method comprises the following steps: receiving a cable network layout editing request, and determining aircraft connector information according to an electrical schematic diagram corresponding to a first aircraft; receiving a contact editing operation, and generating an aircraft contact distribution table according to the contact editing operation and the aircraft connector information; receiving a cable editing operation, and generating a cable information table corresponding to the first aircraft according to the cable editing operation and the aircraft contact distribution table; and in response to the layout information generation request, generating cable network layout information corresponding to the first aircraft according to the aircraft contact distribution table and the cable information table, so as to produce a cable network of the first aircraft according to the cable network layout information. According to the technical scheme, the effect of determining the cable network layout information in the aircraft based on the electrical schematic diagram of the aircraft is achieved, and the efficiency of determining the cable network layout information is improved on the basis of reducing the error rate of the layout information.

The invention relates to a spoke type cable-supported grid roof and a reverse tensioning construction method thereof, belongs to the technical field of building construction, and solves the problems that a large number of temporary construction supporting jig frames need to be arranged in a bracket construction method in the prior art, the cost is high, the jig frames can be supported on a lower concrete structure, the interpenetration operation with the concrete structure needs to be considered, and the construction efficiency is high. And the construction process is tedious. The spoke type cable-supported grid roof comprises an upper steel structure, an outermost side pressing ring beam, radial cables and annular cables, the radial cables and the annular cables are connected in a crossed mode to form a cable net system, and the cable net system is connected with the upper steel structure and the outermost side pressing ring beam; in the construction process, the radial cables and the annular cables are reversely tensioned through the vertical construction inhaul cables, and the node elevation of the radial cables and the annular cables is lowered to the designed elevation through the self weight of the upper steel structure. In the construction process, a temporary construction supporting jig frame does not need to be arranged, the construction steps are simple, the construction efficiency is high, and the construction cost is reduced.

The invention discloses a large rope net antenna surface shape measurement and regulation method based on force-position fusion vision measurement, and relates to the field of antenna precision control and optimization. In order to solve the problems of high cost, high structural complexity and limited regulation and control precision of a measurement system in the prior art, the invention provides an efficient regulation and control method. The method comprises the following steps: acquiring displacement data of upper and lower cable net nodes and extension spring mark points, and recording images; preprocessing the image data, and extracting actual coordinates of the mark points; the actual coordinates are compared with the design coordinates, node displacement errors are calculated, and the root-mean-square error value of the antenna reflecting surface is obtained through a profile error formula; based on the root-mean-square error value, the deformation amount of a piezoelectric actuator and the deformation amount of a spring are calculated, and driving voltage and tension parameters are determined; and generating a control instruction according to a calculation result, and optimizing regulation and control. The method is suitable for design and maintenance of the spacecraft antenna, and has the advantages of high precision, low cost and easy operation.

The invention provides a method and a system for calculating initial prestress distribution of a cable net structure. The method comprises the following steps: acquiring coordinates of each boundary node and coordinates of each free node of the cable net structure; inputting each boundary node coordinate into a deep learning force finding model, and outputting a coordinate prediction value of each free node; calculating the sum of the mean square residual error of the physical balance equations of all the free nodes and the mean square error of the coordinate predicted value and the true value, namely a loss function value; adjusting parameters of the deep learning force finding model and the cable prestress according to the loss function value, updating the deep learning force finding model until the calculated loss function is smaller than a set error, and obtaining the cable prestress, namely the initial prestress distribution of the cable net structure. According to the method, the boundary node coordinates of the cable net structure serve as the input of the deep learning force finding model, the free node coordinates serve as the output, the initial prestress distribution of the cable net structure is found through the deep learning force finding model, and compared with existing manual force finding, the calculation efficiency is high, and rapidness and accuracy are achieved.

The invention belongs to the technical field of circuit detection, and particularly relates to a distributed photovoltaic power station cable fault positioning system and method.Detection equipment is started, a carrier signal is sent to a cable network, electromagnetic interference characteristics are recorded synchronously, the frequency of the carrier signal is systematically adjusted to avoid recognized interference, and the fault positioning accuracy is improved. And repeating the steps until a non-interference working frequency band is found, then monitoring the signal transmission condition step by step along a cable path, and analyzing a signal attenuation mode to accurately position a potential fault point. According to the method, the problem of misjudgment caused by electromagnetic interference generated by the frequency converter is effectively solved, the accuracy and reliability of fault detection are remarkably improved, the maintenance cost and time are reduced, and the operation and maintenance efficiency of a photovoltaic power station is improved. The improvement has remarkable technical effect and practical value in a complex electromagnetic environment.

The invention provides a cable-free network structure and an antenna system, and belongs to the technical field of communication. The cable-free network structure comprises a reflecting plate; the first phase shifting module comprises a power division phase shifting network and a corresponding first phase shifting medium group, the power division phase shifting network is provided with a first input port and a plurality of first output ports, the first input port is used for receiving signals, and the plurality of first output ports are used for outputting equal phase differences; the second phase shifting module comprises a plurality of two-way power dividers and corresponding second phase shifting medium groups, each two-way power divider comprises a second input port and two second output ports, the second input ports are connected with the first output ports, and the second output ports are used for sending signals; and the transmission mechanism respectively drives the first phase shifting medium group and the second phase shifting medium group to move at a preset displacement ratio so as to realize equal-phase-difference output in the same period. The cable-free network structure provided by the invention can simply realize equal-phase-difference output in the same period.