1847 results about "Overhead line" patented technology

The invention discloses a BIM-based high-speed rail overhead line system elastic sling and electric connection prefabrication processing method, and relates to the field of elastic sling processing, and the method comprises the steps: building a knowledge base, and building an initial elastic sling BIM model of a target project through parametric modeling; establishing an initial finite element analysis model of the target project through grid division and material attribute mapping; calculating the internal force and deformation of the elastic sling under the action of the static load by adopting an incremental iteration method; carrying out dynamic time-history analysis by adopting a direct integration method to obtain time-history curves of the elastic sling under different seismic waves; according to static and dynamic analysis results, stress-strain response of the elastic sling is extracted, and the initial elastic sling BIM model is optimized by adopting a topological optimization method with the minimum strain of the elastic sling as the target and the stress constraint of the elastic sling as the condition; and updating the finite element analysis model by using the optimized elastic sling BIM model. According to the method, the parameterized design degree of the elastic sling is improved.

The invention belongs to the technical field of railway transportation safety, provides a railway contact net carrier cable tension online monitoring and early warning method and system, and aims at solving the technical problems that in the prior art, capturing is not comprehensive, and different environments are difficult to adapt. Acquiring a tension data stream by using a context awareness technique; analyzing the tension data flow by using a hidden Markov model to obtain a preliminary analysis result, processing by using a neural network, generating an abnormal mode recognition result, performing risk assessment by using a Bayesian network algorithm and a digital twin technology to obtain a preliminary fault estimation probability, and predicting a target fault estimation probability in combination with multi-context sensing data; a self-adaptive control algorithm is used for generating an adjusted alarm threshold value, when the monitored tension value exceeds the adjusted alarm threshold value, early warning information is generated in time, and processing is carried out through the block chain technology to obtain target early warning information; according to the technical scheme provided by the invention, the monitoring and early warning capabilities of the railway overhead line system carrier cable are comprehensively improved.

The invention discloses an operation state fault monitoring method, system and device for a heavy-load overhead line, and relates to the technical field of electrical fault detection of the heavy-load overhead line. The method comprises the following steps: injecting a high-frequency test signal into a heavy-load overhead line to carry out predefined fault detection so as to obtain a total harmonic distortion rate; performing first harmonic optimization adjustment according to comparative analysis of the total harmonic distortion rate and a threshold value; performing harmonic second optimization adjustment according to the monitoring analysis result of the external load fluctuation of the heavy-load overhead line; and performing harmonic third optimization adjustment according to the monitoring analysis result of the external environment fluctuation of the heavy-load overhead line. According to the invention, through multi-stage distribution adjustment, the effect of improving the dynamic regulation and control accuracy of the high-frequency test signal injection fault monitoring method of the heavy-load overhead line in extreme weather is achieved; the problem of insufficient dynamic regulation and control accuracy of a high-frequency test signal injection fault monitoring method of a heavy-load overhead line in extreme weather exists.

The invention relates to the field of intelligent operation and maintenance of a high-speed railway overhead line system, provides a machine learning-based optimization method and system for dropper arrangement of the high-speed railway overhead line system, and aims to solve the problems of insufficient pantograph-catenary coupling stability and relatively low abrasion uniformity of the overhead line system. The method comprises the steps that contact force space distribution characteristics of a pantograph and a contact net are collected, and contact force balance constraint conditions are generated; constructing a line parameter compensation mechanism by combining the track ultrahigh value, the vertical curve curvature and the elevation data of the suspension point acquired by the laser scanner, and outputting a compensation three-dimensional coordinate of the suspension point of the overhead line system; a programmable gate array is adopted to implement parallel acceleration on neural network weight calculation and space coordinate transformation, contact force constraint and compensation coordinates are iteratively processed, and dropper arrangement parameters are generated; based on the segmented tension value and the node offset compensation value, driving equipment to finish accurate adjustment and positioning installation of the dropper. According to the technical scheme provided by the invention, the pantograph-catenary coupling stability and the wear uniformity of the catenary are improved.

The invention provides an overhead line state evaluation method and system based on a digital twinborn technology. The method comprises the following steps: extracting meteorological data influencing a wire from overhead line meteorological monitoring data; based on the meteorological data, a pre-constructed digital twinborn system is used to calculate and determine whether the overhead line has a risk; and when the overhead line has a risk, issuing early warning information by using a pre-constructed digital twin system. According to the method, physical entities are digitally mapped to elements such as equipment, channels, environments and events for a set of multiple service scenes, equipment states are analyzed in combination with monitoring data or forecast data, physical equipment operation and maintenance are fed back, repeated iteration is carried out, and an entity world on the physical dimension and a digital world on the information dimension coexist and are virtually and actually fused; the collaboration of various digital, intelligent and automatic means is improved, the systematicness, continuity and integrity of equipment state evaluation are improved, and lean management and upgrading of equipment are supported.

The invention relates to the technical field of cable fault diagnosis and positioning, in particular to a cable fault positioning method and system based on multi-source data space-time correlation, and the method comprises the steps: obtaining partial discharge, traveling wave and temperature multi-source monitoring data from a high-voltage cable-overhead line hybrid power transmission network; on the basis of space-time correlation analysis of partial discharge and temperature data, heat-electricity associated defect points are calibrated; comparing traveling waves of the cable and the overhead line, and identifying and inhibiting cross-domain propagation interference; positioning the traveling wave data which are not identified to obtain temporary coordinates, judging fault characteristics by fusing information such as sheath ring current and the like, and comparing the temporary coordinates with defect points to generate matching identification; and inputting multi-dimensional information such as fault features, defect matching identification and temperature into the fusion model, calculating the confidence coefficient of a fault mode, and outputting a cross validation positioning result. According to the invention, high-reliability positioning of mixed line faults and active early warning of insulation defects are realized by carrying out space-time correlation and fusion decision on multi-source monitoring quantities such as traveling waves, partial discharge, circulation, temperature and the like.

The invention discloses an unmanned aerial vehicle autonomous inspection processing method and system based on distribution network overhead line equipment, and belongs to the technical field of unmanned aerial vehicle inspection. According to the method, firstly, a laser point cloud inspection information set and an inspection route record of a target unmanned aerial vehicle are obtained, target inspection point cloud element knowledge is generated through point cloud element identification branches in an inspection scheduling processing network, and line crossing information between the unmanned aerial vehicles is considered, so that the inspection safety is improved. The route optimization decision branch is combined with target inspection point cloud element knowledge and inspection route records to generate target route planning suggestion features, and flight safety, inspection efficiency and equipment coverage degree are ensured by integrating multiple factors. The route clustering processing branch groups the target route planning suggestion features, finally determines an unmanned aerial vehicle routing inspection planning cluster through the routing inspection energy efficiency discrimination weight of the grouping result, and improves the routing inspection efficiency and reduces safety accidents in combination with a ball query safety verification technology.

The invention relates to the technical field of power transmission line monitoring, and provides a three-dimensional point cloud monitoring method and system for fracture and galloping of an overhead line of a power transmission line iron tower, and the method comprises the following steps: arranging a three-dimensional laser scanner along a power transmission line; acquiring original three-dimensional point cloud data of the power transmission line in real time; performing real-time noise reduction, filtering and compression on the original three-dimensional point cloud data to obtain three-dimensional point cloud data; based on the three-dimensional point cloud data, establishing a three-dimensional digital model of the power transmission line, extracting characteristic parameters of the three-dimensional digital model of the power transmission line, calculating a time sequence change rate of the characteristic parameters, and constructing a characteristic vector space; in the feature vector space, feature matching is carried out on the feature vectors, the operation state of the power transmission line is recognized in real time, and whether fracture galloping exists or not is judged; and generating a monitoring report according to the judgment result of the fracture galloping. According to the invention, the coverage range and acquisition precision of transmission line fracture galloping monitoring are improved.

The invention discloses a high-speed rail overhead line system suspension state defect visual detection method in an open environment, and belongs to the technical field of target detection, and the method comprises the steps: improving a GAN (Generative Adversarial Network), introducing regional attention, and carrying out the feature extraction of a real image to obtain sub-images of different defect types, and obtaining a generated image; according to the language generation model and the natural language description of the defect type, constructing a text description library to obtain text description; based on a CLIP model, sending the real image and the generated image into an image encoder, sending the text description into a text encoder, and extracting image features and text features; and aligning the image features and the text features based on an attention mechanism, calculating similarity to determine defect types, mapping the defect types to a real image, and marking defect positions. According to the method, the problems of data scarcity, defect diversity, poor data enhancement effect and insufficient image and text modal alignment in high-speed rail overhead line system suspension state defect detection are solved.

The invention discloses an overhead line-high voltage cable sheath lightning stroke induced voltage calculation method. At present, the voltage of a lightning stroke point, a connection point of an overhead line and a cable and a point in a well of each joint along a cable sheath cannot be obtained at the instantaneous moment of lightning stroke of the overhead line on site. According to the method, electromagnetic transient simulation modeling is carried out on actual spatial positions, structural parameters and material parameters of field overhead lines and high-voltage cables, electromagnetic transient simulation modeling is carried out on lightning currents, electromagnetic transient modeling is carried out on normal operation conditions and actual lightning stroke fault conditions of an electric power system, and after the randomness of the fault occurrence moment is considered, the electromagnetic transient simulation modeling is carried out on the actual lightning stroke fault conditions of the electric power system. And the maximum lightning stroke induced voltage value of each point along the cable sheath after lightning stroke is calculated through electromagnetic transient simulation software, so that a reference basis is provided for insulation matching design of the cable sheath of the overhead line-cable mixed line invaded by lightning current, and a foundation is laid for design evaluation of various subsequent voltage limiters and protectors.

The invention discloses a self-adaptive evaluation method and system for the running state of a contact network. The method comprises the following steps: constructing a contact network operation state evaluation index system, and obtaining time sequence detection data of each evaluation index; dynamically calculating the length of an adaptive window at the current evaluation moment, and extracting a nearest data subset matched with the length of the adaptive window from the time sequence detection data; using an improved CRITIC method to calculate and obtain a first objective weight vector; updating the gain coefficient vector, and calculating a second objective weight vector; combining the second objective weight vector with a subjective weight vector determined by an analytic hierarchy process by adopting a combined weight method to generate a final combined weight vector, and evaluating the running state of the overhead line system at the current evaluation moment until the evaluation task is finished; according to the method and the system, the accuracy and the timeliness of state evaluation of the overhead line system are effectively improved.

Provided in the present application are a passive-impact-type mechanical deicing device and method for an overhead line. The mechanical deicing device comprises an outer cover, an inner cover, an elastic energy storage mechanism, a bumping control mechanism and a bumping mechanism, wherein the bumping control mechanism comprises a traction block, a jaw and a jaw limiting cylinder; and the elastic energy storage mechanism comprises a first elastic member and a second elastic member, the first elastic member being pressed when the inner cover slides downwards, and the second elastic member being pressed when the jaw slides downwards, such that the load generated by icing of a conductor can be accumulated. In the device and method, the elastic energy storage mechanism is used to accumulate the load generated by icing of a conductor, and when the load exceeds a set threshold, the bumping control mechanism automatically triggers the bumping mechanism to move to generate an instantaneous impact load to remove the ice coated on the conductor. In this way, there is no need for a power source, and bumping and reset can be automatically triggered according to the change in icing without manual intervention, thereby ensuring the deicing effect, preventing large-amplitude vibration of the conductor during ice breaking, and greatly improving the deicing reliability and safety. The device is suitable for long-term operation in harsh field environment.

The invention provides an intelligent monitoring method and device for an electric power overhead line based on self-supervision and a cloud server. The method comprises the following steps: acquiring real-time multi-dimensional image data of the electric power overhead line by applying a front-end acquisition device; performing self-supervision pre-training on the seed model transmitted by the cloud server according to the historical multi-dimensional image data of the power overhead line to obtain a trained proprietary model; and carrying out hidden danger identification on the real-time multi-dimensional image data by using a proprietary model to obtain a hidden danger identification result, and transmitting the hidden danger identification result to visual monitoring equipment for visual display. Real-time monitoring and intelligent identification of hidden dangers of the power overhead line can be realized, model parameters are intelligently adjusted to adapt to complex and changeable natural environments, false alarm and missing alarm phenomena are reduced, safe operation of the power overhead line is ensured, and through training and application of a proprietary model, the real-time monitoring task is ensured to be completed with high quality and high efficiency, and the safety of the power overhead line is ensured. And continuous optimization of individual precision of the proprietary model is realized.

The invention relates to a rail contact network parameter high-precision measurement method and system based on a multi-dimensional coupling algorithm, and solves the problems that manual measurement precision is insufficient, continuous collection is difficult, operation is hindered in a severe environment, and safety risks exist in workers. Calculating an initial rail width, generating a rail width reference through temperature compensation, and synchronously combining inertial measurement data to establish a space reference coordinate system; re-calibrating the parameters, comparing with the attitude angle, updating the reference if the parameters exceed the threshold value, and otherwise, compensating and filtering the sensing data; then, a measured point of the contact network is tracked, a holder is adjusted for alignment, and finally, a three-dimensional coordinate, a guide height and a pull-out value are calculated and output by fusing multi-source data. The method has the advantages that high-precision and automatic measurement of the geometric parameters of the overhead line system is achieved, the safety risk and the efficiency bottleneck of manual measurement are remarkably reduced, and reliable data support is provided for intelligent operation and maintenance of railways.

The invention discloses an MEMS and TMR fused overhead line lightweight monitoring device, and the device comprises an annular shielding cover which sleeves a to-be-detected overhead conductor and is coaxial with the to-be-detected overhead conductor, and the side wall of the annular shielding cover is provided with a through hole; the sensing unit comprises at least two MEMS electric field sensors and at least two TMR magnetic field sensors and is used for detecting an electric field and a magnetic field generated by the overhead conductor to be detected; the analysis processing unit is used for receiving, processing and transmitting the signal generated by the sensing unit; and the power supply unit is arranged in the annular shielding cover and is electrically connected with the sensing unit and the analysis processing unit. The beneficial effect of the invention is that the coupling crosstalk phenomenon generated by an external electromagnetic field can be effectively suppressed. Moreover, the monitoring device is small in size, is convenient to install and deploy in a complex line environment, provides a stable hardware basis for precise inversion of voltage and current through structural cooperation, and provides reliable support for intelligent monitoring of an overhead line.

The invention belongs to the technical field of railway inspection, and particularly relates to a contact network safety inspection while shooting device based on image recognition, which comprises an acquisition end, an intelligent analysis end and an observation panel, the acquisition end is fixedly mounted on a train, and is used for synchronously acquiring continuous visible light images and infrared images of a contact network in the running process of the train, and transmitting the images to the intelligent analysis end in real time through a high-speed low-delay link; the intelligent analysis end calls a mirror image progressive multivariate fusion defect inference algorithm to generate a mirror image grid sequence, and grid correspondence is carried out on the visible light image and the infrared image in a virtual mirror image plane; a focusing clear frame is extracted after each time of sliding; multivariate feature fusion is carried out on the focusing clear frame, and a fusion result enters a defect candidate set. According to the invention, real-time and accurate inspection of catenary defects is realized in a high-speed operation and complex environment.

The invention discloses a method and a device for monitoring the running state of a railway overhead line system. The method comprises the following steps: receiving environmental data acquired by various sensors; the environment data comprises at least one of humidity data, wind speed data, temperature data, ultraviolet intensity data and electromagnetic induction intensity signals; predicting the environmental data through a pre-established risk prediction model to obtain a predicted contact network risk level; wherein the risk prediction model is established based on historical environment data; based on historical fault data, the environment data and an actual detection result, the contact network state is evaluated, and a contact network state evaluation grade is obtained; and generating early warning information according to the contact network risk level and the contact network state evaluation level. According to the invention, operation state monitoring, risk level discrimination and intelligent early warning linkage based on multi-source data can be realized, so that the safety and operation and maintenance efficiency of the contact network system are improved.

The invention provides an enhanced YOLOv10-based electrified railway overhead line system insulator defect detection method, system and equipment and a medium. The method comprises the following steps: acquiring an overhead line system insulator image of a target scene through a shooting device and automatic inspection equipment; marking contact network insulators and defects in the contact network insulator image by using a marking tool, and dividing the marked image into a training set and a verification set according to a preset proportion; performing model training on the basis of the training set and the verification set, and introducing a lightweight OfficientViT module, a Wise-IoU loss function and a knowledge distillation technology in the training process to obtain a contact network insulator defect detection model based on YOLOv10; and inputting the obtained image of the to-be-detected overhead line system insulator into the overhead line system insulator defect detection model to obtain a defect detection result. The method provided by the invention improves the accuracy and efficiency of insulator defect detection.

The invention relates to the technical field of power system monitoring and fault diagnosis. The invention provides an overhead line drop-out fuse monitoring method, system and device and a storage medium, and the method comprises the steps: obtaining the temperature data of a drop-out fuse, the current data of a line where the drop-out fuse is located, and the surrounding environment parameter data of the position where the drop-out fuse is located, and obtaining an initial data set; preprocessing the initial data set, and extracting key features to obtain a feature data set; based on the feature data set, constructing a temperature-current-environment coupling model, performing multi-dimensional correlation analysis on the feature data set, and dynamically calculating a real-time operation risk index of the drop-out fuse; and if the real-time operation risk index exceeds a preset threshold value, triggering a grading early warning mechanism, and synchronously generating a diagnosis report containing an abnormal parameter, position information and a timestamp. The problem that in the prior art, a traditional manual inspection mode is difficult to meet the requirement for monitoring the temperature of the overhead line drop-out fuse terminal in real time is solved.

The invention relates to an anti-slip multi-frequency damper, and relates to the technical field of power overhead line and cable construction, the anti-slip multi-frequency damper comprises a wire clamp body, a plurality of wound pre-twisted wires are arranged in the wire clamp body, an anti-vibration assembly is arranged below the wire clamp body, two ends of each pre-twisted wire are provided with preassembled sheets, and the preassembled sheets are provided with clamping assemblies. The clamping assembly is used for connecting and fixing the two ends of the pre-assembled piece to form a pre-assembled ring, the pre-assembled ring is arranged outside a plurality of wound pre-twisted wires in a sleeving mode, a plurality of connecting blocks corresponding to the pre-twisted wires in number are arranged on the inner wall of the pre-assembled ring, a pre-assembled groove is formed between every two adjacent connecting blocks, and the pre-twisted wires are clamped in the corresponding pre-assembled grooves. According to the invention, the pre-twisted wire can be rapidly installed on the surface of the cable by a worker, and the installation speed of the pre-twisted wire is improved.

The invention belongs to the technical field of image processing, and particularly relates to a contact network defect identification method based on multiple modalities, which comprises the following steps of: 1, acquiring a visible light image sequence and an infrared thermal imaging image sequence of a target contact network, and carrying out time alignment and temperature calibration to obtain a unified reference frame sequence and a thermal vision consistency label set; 2, constructing a structure change graph and an overheat candidate graph in the obtained unified reference frame sequence, calling a cross-modal physical semantic autocatalysis recombination algorithm, and taking a generated thermal vision consistency label set as a constraint; and step 3, taking the output fusion evidence body as input, combining the thermal vision consistency label set and the reversible channel audit record to verify the candidate area, obtaining a defect target, and outputting a defect category and a defect position. According to the method, the precision and stability of defect detection are improved, the traceability of the result is also realized, and a reliable guarantee is provided for intelligent operation and maintenance of the electrified railway overhead line system.

The invention provides a fault positioning method and system for an overhead line of a power distribution network, and a storage medium. The method comprises the steps of obtaining a plurality of fault traveling wave magnetic field signals; performing the following steps on any signal: performing phase-mode transformation on the signal, extracting and decomposing a line mode component, determining a modulus maximum point, and determining the time corresponding to the point as a first fault traveling wave head arrival moment; carrying out clock synchronization on the moment, and obtaining a wave head arrival moment of a second fault traveling wave; obtaining a to-be-detected fault point and a line parameter; based on the wave head arrival moments of the plurality of second fault traveling waves, extracting a head end arrival moment and a tail end arrival moment; and performing fault positioning on the overhead line of the power distribution network based on the head end arrival time, the tail end arrival time and the fault line parameters. According to the fault positioning method for the overhead line of the power distribution network, interference to normal operation of the power distribution network can be avoided, and high-precision non-intrusive positioning of the overhead line of the power distribution network is realized through the tunneling magnetoresistive sensor.

The invention relates to the technical field of line crane warning, in particular to an overhead line trend intelligent crane sentry warning method and system based on Beidou positioning. The method comprises the steps that base station data information including power transmission tower pole and line trend data is acquired based on Beidou positioning, and construction crane position information is monitored in real time; respectively constructing a power transmission line corridor model and a warning tape model based on the acquired data; carrying out model integration and optimization on the constructed power transmission line corridor model and the warning tape model; generating early warning information based on the integrated and optimized model; and carrying out sentry alarm on the construction crane based on the generated early warning information. Real-time monitoring of numerous power transmission tower and power transmission line corridor areas, including power grid power transmission line channel display, crane equipment map point location display, crane early warning track display and the like, can be realized.

The utility model relates to the field of railway traffic engineering, and discloses a contact net pillar convenient to overhaul based on a high platform, which comprises a stand column, a stand column base is arranged at the lower end of the stand column, and a cross beam is fixedly connected to the upper end of the side face of the stand column and used for installing a high-voltage wire. A protective wall is arranged on the side face of the stand column base, a handrail is fixedly connected to the upper side face of the protective wall, a riffled plate is arranged at the upper end of the inner wall of the protective wall, and the stand column protective device is arranged between the protective wall and the stand column base. The supporting column can be effectively protected from being affected by the external environment, durability is enhanced, and investment waste is reduced.

The invention discloses an online monitoring method and system for an overhead line system tower, and relates to the field of transmission systems of measured values, in the method, when the 4G signal intensity of an area where the overhead line system tower is located is larger than a preset area signal intensity threshold value, a 4G communication module is started to transmit inclination angle data of the overhead line system tower to a monitoring center; when the 4G signal intensity is not greater than a preset area signal intensity threshold value, starting a satellite communication module to transmit the inclination angle data to a monitoring center; when it is detected that the inclination angle data is larger than a preset inclination angle threshold value, historical inclination angle data of the overhead line system tower are obtained; calculating a tilt change trend based on the historical tilt angle data; and determining an early warning level according to the inclination change trend, and sending early warning information corresponding to the early warning level to a corresponding terminal. According to the invention, reliable real-time monitoring and timely early warning of the overhead line system tower under various communication conditions are realized through a 4G and satellite communication dual-module switching transmission mechanism in combination with inclination data trend analysis and graded early warning.

The invention relates to the technical field of power transmission and distribution overhead lines, and discloses a power transmission and distribution overhead line ground wire monitoring method, a positioning forwarding circuit and a device, which are used for improving the accuracy and efficiency of ground wire hanging and dismounting management. The power transmission and distribution overhead line grounding wire monitoring method comprises the steps of obtaining operation task information, obtaining and selecting a target tower, and performing navigation operation based on geographic coordinates of the target tower; after a navigation designated position is reached according to the navigation information, a mobile terminal is used for carrying out coordinate positioning checking on a target tower, grounding hitching operation processing is carried out after checking is correct, hitching position coordinates and real-time hitching and detaching state information of a target grounding wire are collected in real time through a grounding wire monitoring device, and whether hitching succeeds or not is judged through a cloud server side; if hitching is successful, hitching success confirmation information is displayed on the mobile terminal, the operation state is updated, and hitching success records and related information are stored in a database.

The invention belongs to the technical field of power transmission line inspection, and discloses an intelligent bird accidental collision prevention device and method for an overhead line. The method comprises the following steps: collecting a video stream of bird activities around a power transmission line in a visual range; intercepting the video stream into a plurality of to-be-recognized pictures according to frames, and recognizing whether bird images exist in the to-be-recognized pictures or not; when the bird image is recognized, a first control signal is sent out, otherwise, a second control signal is sent out; when the first control signal is received, the bird blocking module is started to emit ultraviolet light beams to block birds; and in the second control signal, the bird blocking module is closed to save power. In the prior art, an anti-bird-mistaken-collision warning mark or warning ball is installed on a ground wire or a ground wire, power failure is needed to install the anti-bird-mistaken-collision warning mark or warning ball, the anti-bird-mistaken-collision warning mark or warning ball is limited by the fact that a power failure plan is difficult to arrange, and compared with an installation device on an iron tower, the risk coefficient of the installation device on the wire is greatly increased, and the problem can be effectively solved by adopting the anti-bird-mistaken-collision warning mark or warning ball. The effects of protecting rare birds, improving operation safety and providing message results are achieved.

An overhead line clamp (100) securable to an overhead line (2), the overhead line clamp (100) comprising: pincer members (102); a hinge (104) to enable the pincer members (102) to actuate between an open position and a closed position, wherein at the closed position the pincer members (102) are configured to secure the overhead line (2); and a hand-operable latch (108) configured to actuate the pincer members (102) between the open position and the closed position.

The invention discloses an intelligent identification and positioning method for an overhead line system cantilever insulator, and the method comprises the steps: obtaining an insulator image, and carrying out the preprocessing of the image; constructing a Faster R-CNN network, and training the network to obtain a feature model; inputting the obtained image into the feature model to obtain pixel coordinates of the insulator; on the basis of the obtained pixel coordinates, the world coordinates of the insulator are obtained by analyzing the mapping relation between the pixel coordinates and the world coordinates; the Faster R-CNN network comprises a region proposal network and a Fast R-CNN target detection network, and the region proposal network and the Fast R-CNN target detection network share a full graph convolutional layer. The method is formed by combining the two convolutional networks, the whole detection process is more efficient, high-resolution images can be processed in a shorter time, and the high requirement of modern railway maintenance for real-time monitoring is met.

The invention relates to a railway contact network contact line deicing method and device, the railway contact network contact line deicing device comprises an ice knocking unit installed on a first lifting unit, and the ice knocking unit is driven by an ice knocking driving unit to periodically knock the side face of a contact line; the device further comprises a first scraping plate, a blowing unit and a second scraping plate which are installed on the second lifting unit, the first scraping plate and the second scraping plate can abut against and support the bottom face contact face of the contact line, the blowing unit comprises a generating device and a blowing opening, and the blowing opening acts on the whole contact line. According to the deicing method and device provided by the invention, thick ice layers and thin ice residues can be sequentially removed step by step and layer by layer, residual ice is melted and blown, and residual ice residues or water stains are blown away. Ice covering the contact line, especially the bottom working face, can be thoroughly removed, the contact line and accessory equipment components cannot be damaged in the deicing process, and compared with manual deicing, the safety is high, and the working efficiency is high.