1308 results about "Contact network" patented technology

The invention relates to the technical field of railways, and discloses a railway passenger train operation state monitoring system based on artificial intelligence, which comprises a multi-modal sensor array, an edge AI judgment platform and a cloud intelligent decision center. According to the railway passenger train operation state monitoring method and system based on artificial intelligence, 28 parameters of a contact network, a running gear and the like are collected in real time through a multi-modal sensor array, an edge AI judgment platform utilizes a cross-modal fusion algorithm to deeply mine multi-source data potential association, the fault diagnosis accuracy is improved, and the fault diagnosis efficiency is improved. The cloud intelligent decision center dynamically aggregates gradient parameters of the edge end model based on federated learning, filters abnormal nodes and updates the abnormal nodes in an hour-level period, and constructs a digital twinborn model in combination with a Spark framework to realize dynamic parameter optimization; the fire-fighting early warning fusion model is linked with the air conditioner pressure and the compartment sealing state correction threshold value through a three-stage mechanism of parameter initial judgment, visual verification and environment verification, it is ensured that the early warning response time is shorter than 200 ms, and cooperation with the overall state of the train is achieved.

The invention discloses a railway catenary reliability evaluation method based on a Markov chain and a dynamic Bayesian network, and the method achieves the systematic monitoring and fault early warning of the operation state of catenary equipment through the construction of a catenary monitoring data collection system, and the utilization of multi-source data integration, multi-node multivariable modeling and hierarchical time scale monitoring. According to the scheme, comprehensive acquisition and analysis of key parameters of a contact network system are ensured by integrating various factors such as meteorology, load and equipment state. Through combined application of the dynamic Bayesian network and the Markov chain, multi-node and multi-variable modeling is carried out, and the dynamic influence of factors such as equipment aging, load fluctuation and external environment change on the system reliability can be accurately captured. In addition, by refining the time scale, performing high-frequency sampling on short-term variables such as weather and load fluctuation, and performing low-frequency monitoring on long-term factors such as equipment aging and corrosion, the state of the contact network is finely evaluated on different time scales.

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 relates to the technical field of railway contact networks, and provides a railway contact network icing thickness prediction method and system. The method comprises the following steps: inputting meteorological environment parameters into a machine learning model, and carrying out dynamic calibration on icing medium parameters based on the meteorological environment parameters by utilizing the machine learning model to obtain calibrated icing medium parameters; obtaining an icing growth coefficient based on the meteorological environment parameters, the conductor physical characteristic parameters and the calibrated icing medium parameters; and inputting the calibrated icing medium parameters and the icing growth coefficient into a Makkonen model to obtain an icing thickness prediction value. According to the technical scheme provided by the invention, the key icing parameters are dynamically calibrated through machine learning, and the computational logic of the Makkonen model is optimized, so that the icing thickness prediction precision under complex meteorological conditions is improved, and the problem of prediction failure caused by insufficient environmental adaptability of a traditional static model is solved.

The invention relates to the technical field of high-speed railway operation and maintenance, and provides a 4C detection-based high-speed railway overhead line system completion acceptance method and system, and the method comprises the steps: collecting overhead line system image data, obtaining pose data and spatial positioning data of an inspection vehicle, carrying out the synchronous calibration processing, building a mapping relation, and obtaining a calibrated overhead line system image; inputting the calibrated overhead line system image into a multi-scale target detection model, outputting a detection result, performing pose correction on the detection result, and generating a three-dimensional positioning coordinate in combination with the mapping relation; constructing a time sequence feature vector, inputting the time sequence feature vector into the prediction model, outputting a defect evolution trend and a risk probability of the part, and grading the risk probability; and according to the risk level and the spatial positioning data, combining a knowledge graph driven rule engine, generating an intelligent work order, mapping the intelligent work order to field equipment, and collecting and feeding back a maintenance result. According to the method, the recognition and spatial positioning precision of the parts of the overhead line system is improved, and the safety and reliability of completion acceptance of the overhead line system of the high-speed rail are improved.

The invention relates to an overhead line system ice melting method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring an infrared image and point cloud data of an overhead line system, which are acquired at the same time; carrying out image identification on the infrared image, and determining a first icing thickness of the overhead line system; analyzing the point cloud data, and determining a second icing thickness of the contact network; the first icing thickness and the second icing thickness are fused, and the target icing thickness of the contact network is determined; and based on the target icing thickness, determining an ice melting parameter, and sending the ice melting parameter to the control equipment, so that the control equipment executes an overhead line system ice melting operation based on the ice melting parameter. According to the method, the infrared image of the overhead line system and the icing thickness analysis result of the point cloud data are fused, the accuracy of determining the icing thickness of the overhead line system is improved, meanwhile, even if one data source has an error, other data sources can still continue to provide effective information, the robustness of the system is enhanced, and the reliability of the system is improved. Therefore, a reasonable ice melting strategy is formulated based on the accurate icing thickness.

The invention discloses an overhead line system cable state real-time monitoring method and sensing system based on distributed optical fiber sensing. The Mach-Zehnder interference and phi-OTDR fusion type distributed optical fiber sensing system comprises a first light source, a second light source, a Mach-Zehnder interferometer, a phi-OTDR and a data acquisition and processing module. Raman amplifiers are arranged at the two ends of the Mach-Zehnder interferometer, so that the sensing distance is prolonged; the optical fiber sensing system extracts an interference optical signal and a backward Rayleigh scattering optical signal corresponding to a fault event after phase modulation when the fault event occurs; then processing the extracted backward Rayleigh scattering light signal to obtain intensity change information of a fault event, and demodulating the position of the fault event; and sending the two-dimensional optical signal into a pre-trained Swin Transform network model to extract a time domain feature, a frequency domain feature and a spatial domain feature, and identifying the type of a fault event through a classifier.

The invention provides a rail transit power supply digital twin system and a construction method, and relates to the technical field of data processing, and the method comprises the steps: constructing an urban rail transit power supply system digital twin model, achieving the digital virtualization associated with a physical entity, completing the model rendering, and displaying the state of the entity through a virtual model; according to the entity state, operating parameters of a substation and key equipment of a contact network are collected through a sensor and a hardware device; the operation parameters are cached by the station-level monitoring device body through the double-ring network architecture and then scheduled to a cloud platform communication ring network node, a data transmission path is optimized based on a load balancing strategy, and the data are uploaded to a cloud platform in real time. The management level can be improved, the operation and maintenance cost can be reduced, and a foundation is laid for intelligent operation and maintenance of a rail transit power supply system.

The invention discloses a method and a system for measuring the distance between cross positions of carrier cables of a rail contact network based on machine vision, and relates to the technical field of measurement of the distance between the cross positions of the carrier cables of the rail contact network. A laser radar and an infrared sensor are used for collecting depth information and temperature distribution data, and a multi-view image and depth temperature data are obtained; collecting the multi-view image and the depth temperature data to a central processing unit through a high-speed data transmission channel to obtain an initial data set; preprocessing the initial data set to obtain a high-quality data set; based on a deep learning algorithm and the high-quality data set, constructing a prediction model of the carrier cable and the intersection point, inputting sample data in the high-quality data set, and outputting prediction results of the carrier cable and the intersection point; and based on prediction results of the carrier cables and the intersection points, three-dimensional model reconstruction is carried out on the intersection positions of the carrier cables in combination with stereoscopic vision and structured light technologies.

The invention relates to the technical field of railway clearance measurement, in particular to a railway catenary strut side clearance measurement method and system, and the method comprises the steps: obtaining a frame image sequence of a catenary strut, and screening out a straight line which accords with a preset length threshold value and is close to one side of a railway track as the side edge of the catenary strut; calculating the gradient amplitude standard deviation of the side edge of the catenary strut; obtaining the proportion of the catenary pillar area according to the ratio of the number of the pixels of the catenary pillar area to the total number of the pixels of the frame image; obtaining a target image frame according to the gradient magnitude standard deviation corresponding to each frame of image in the frame image sequence and the contact network pillar area proportion through a genetic algorithm; and using the target image frame to obtain the contact network pillar side surface limit value. According to the method, the optimal target single-frame image in the overhead line system strut image frame sequence is screened, and the data processing amount is reduced under the condition that the processing result precision is ensured.

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.

The invention discloses an energy storage rapid compensation method and system based on track overhead line system voltage fluctuation feature recognition, and relates to the technical field of track traffic traction power supply. The method comprises the following steps: synchronously acquiring voltage and current signals of the overhead line system, and extracting a composite feature vector containing disturbance root attributes and transient change rate; on the basis of the vector, a transient energy vacancy sequence covering the ultra-short-term future is output in real time through a prediction model fusing dynamic phasor analysis and a feedforward neural network; according to the sequence, a cooperative control strategy fusing overshoot and active damping is generated in combination with a proximity compensation principle and a voltage recovery state so as to drive an along-line energy storage unit; the strategy is executed in advance, compensation energy is injected, and finally double closed-loop correction is conducted based on the voltage residual error. According to the method, the problems of response lag, unclear disturbance identification, poor collaboration and lack of adaptive ability in the prior art are solved, and advanced, accurate, collaborative and self-optimized rapid suppression of the voltage fluctuation of the overhead line system 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 belongs to the technical field of droppers, and particularly relates to an intelligent pre-assembling platform and a pre-assembling method for an integral dropper of a contact network, and the intelligent pre-assembling platform comprises an automatic feeding system, an automatic laser etching system, a mechanical arm flexible assembling system, a tension / length detection system, a crimping process detection system, a bundling and labeling system, a rack, an auxiliary device and a quick-changing device, the dropper wire feeding system comprises a wire feeding wheel, a wire winding device, a straightening device, a fusing device and a servo length control device; the mechanical arm flexible assembly system comprises a six-axis mechanical arm and a crimping quick-change device; the auxiliary device comprises a secondary positioning mechanism, a heart-shaped ring / crimping pipe spacing control mechanism and a transfer printing device; the quick-change device is composed of a hydraulic cylinder, a crimping die and a quick-change transition block. According to the invention, the pre-assembling time of a single dropper is shortened, the dropper assembling process is shortened, the dropper pre-assembling device is suitable for dropper pre-assembling with different specification requirements, a crimping die is convenient to replace, meanwhile, personnel distinguishing is convenient, and finished products are not damaged in the bundling process.

The invention discloses a method and a system for constructing a double-layer coupled network infectious disease transmission model based on a game strategy. The construction method comprises the following steps: constructing an information dissemination network and a physical contact network; in the information propagation network, modeling is carried out on evolution of individual consciousness by adopting a UAU model according to individual states, and in the physical contact network, modeling is carried out on evolution of individual states by adopting an SIS infectious disease model; introducing a game strategy mechanism of individual consciousness into the information propagation network; constructing a feedback mechanism of individual behaviors in the physical contact network; according to an MMCA method, an information transmission network of a game strategy mechanism and a physical contact network of a feedback mechanism are introduced to construct a double-layer coupled network infectious disease transmission model, and threshold analysis is performed on the double-layer coupled network infectious disease transmission model; according to the method, game strategies and behavior feedback made by individuals after the individuals receive infectious disease information are considered, and the method is used for solving the problem of complex coupling between information transmission and infectious disease transmission in a double-layer coupling network.

The invention discloses a modulus-driven high-speed rail overhead line system full life cycle management method, and relates to the technical field of railway overhead line systems, and the method comprises the steps: analyzing the full life cycle of an overhead line system, and constructing a life stage block; collecting life stage data, and storing the life stage data into the corresponding life stage blocks; respectively constructing a representation model library, a data lake and a mechanism model library for the collected data according to a subject domain; establishing a collaborative periodic relationship based on the axial data relationship; building a digital-analog period integrated atlas relation; and performing operation processing to generate stage management information. The technical problems of unreasonable resource allocation, slow fault response and low management efficiency caused by the fact that information is difficult to share in real time and the intelligent level of full-life-cycle management is not high due to neglecting of contact and mutual influence of all stages of the full-life-cycle of the overhead line system in the prior art are solved. Concentrated storage and efficient management of data in all stages are achieved, and the technical effect of improving operation and maintenance management efficiency and power supply stability is achieved.

The invention discloses an overhead line system operation digital detection method and an evaluation system, and belongs to the field of rail transit overhead line system intelligent operation and maintenance. The method comprises the steps of collecting multi-source heterogeneous data, identifying data types and performing type-specific intelligent processing and feature extraction; evaluating a future state or risk in combination with the prediction model; applying an adaptive evaluation engine to fuse multi-source information and dynamically adjusting a strategy generation result; and finally feeding back and updating the model and logic. The invention also discloses a system comprising the sensor network, a processing unit, a prediction module, an adaptive evaluation engine and an updating unit. According to the method, through data classification processing, prediction, adaptive evaluation and closed-loop learning, the intelligence, accuracy, foresight and adaptive ability of detection and evaluation are remarkably improved, and an advanced quality control and ability evaluation means is provided for contact network automation / robot operation.

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 utility model discloses an automatic ice melting robot for an electrified railway contact network based on electromagnetic eddy current, which comprises a line climbing motion module, a turbine connecting shaft, two upper mechanical arms, a mechanical arm connecting shaft, two lower mechanical arms and an electromagnetic eddy current deicing module, and is characterized in that the line climbing motion module is used for carrying out line climbing motion along a bearing cable of the electrified railway contact network; the turbine connecting shaft, the two upper mechanical arms, the mechanical arm connecting shaft and the two lower mechanical arms are matched with one another and used for achieving angle-adjustable connection between the wire climbing movement module and the electromagnetic eddy current deicing module, and the electromagnetic eddy current deicing module is used for conducting deicing on a contact wire through electromagnetic eddy current heating. According to the utility model, safe and efficient automatic deicing of the electrified railway contact net is realized by adopting electromagnetic eddy current heating.

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 discloses a direct-current ice melting system of a subway overhead line system, which comprises an overhead line system and a running rail, and further comprises a subway rectification module and a direct-current ice melting module, the subway rectification module and the direct current ice melting module are connected with the contact network. The invention further discloses a direct-current ice melting method of the subway overhead line system. The direct-current ice melting device can stably output direct-current ice melting current in a large range to meet the ice melting requirements under different scenes, meanwhile, different wiring modes are adopted according to the ice melting requirements to melt ice on a plurality of contact nets or walking rails at the same time, and the operation time is saved.

The invention provides a catenary engineering material processing system based on intelligent identification. The catenary engineering material processing system comprises a catenary plane graph identification module, a catenary plane data analysis module and a material management module, the contact network plane graph identification module is used for carrying out plane data identification processing on the contact network plane graph of the target unit project based on a reading path between the preset starting point coordinate and the preset ending point coordinate to obtain contact network pillar representation data; the contact network pillar representation data is used for describing different types of pillar data included in a contact network plane graph of the target unit project; the overhead line system plane data analysis module is used for carrying out strut category analysis on the overhead line system strut representation data to obtain target material data corresponding to an overhead line system plane graph of a target unit project; and the material management module is used for generating material processing information based on the target material data. Therefore, the processing efficiency is improved while the error rate is effectively reduced, and the problem of material waste of the overhead line system is solved.

The invention relates to the technical field of railway catenary compensation device detection and prediction, and relates to a catenary compensation device clamping stagnation detection and prediction method, which comprises the following steps: acquiring image data of a catenary compensation device; a target detection model is constructed based on a deep learning algorithm, the target detection model executes component identification and pole number identification of the contact network compensation device, identification results are correlated, and a normalized reference coordinate system is established; acquiring operation data of the contact network compensation device based on the normalized reference coordinate system, inputting the operation data of the contact network compensation device into the contact network compensation device displacement trend prediction model for calculation to obtain a contact network compensation device displacement trend prediction result, and verifying the prediction result to obtain a contact network compensation device displacement trend prediction result. And outputting a clamping stagnation risk analysis result of the contact network compensation device. According to the invention, the operation data acquisition system of the normalized reference coordinate system is established, so that the intelligent monitoring and analysis of the operation state of the contact network compensation device are realized.

The present application discloses a contact network device, a smart car, a smart network system and a transportation system. The contact network device is installed on the car. The smart network system includes a network information system and a network power supply system. The network power supply system includes a contact network connected to the contact network device. The contact network provides electricity and basic sensor information for the car. The network information system interconnects the contact network device, the smart car and the contact network information to form a vehicle network. The smart car equipped with the contact network device and the smart network system constitute a new transportation system. When the car is traveling on a road with smart network system facilities, the smart network system provides electricity and sensor information, and the car is driven by a person or automatically drives forward. When the car is traveling on a road without smart network system facilities, it is powered by a battery or an internal combustion engine, and can be driven by a person or a simple remote control driving system provides information to enable the car to move forward, solving the problems of electric vehicle charging, endurance and automatic driving application.

The invention discloses a self-adaptive grinding control method and system for a rigid contact network, and belongs to the technical field of maintenance of rail transit power supply equipment. The method comprises the following steps: acquiring pantograph-catenary action historical data of each position of the contact network along a busbar direction, and constructing a contact line damage index distribution curve; identifying a high damage interval based on the damage index, extracting roughness, ripple amplitude and oxidation thickness parameters, constructing a damage intensity vector, and calculating a damage grade score of each position by adopting a fuzzy comprehensive evaluation method; a preset polishing strategy library is matched according to the scoring result, a corresponding polishing wheel combination, the rotating speed and the contact pressure are determined, and a control parameter set is generated; the grinding device dynamically adjusts the working state according to the control parameters in the advancing process. The method achieves full-process self-adaptive closed-loop control of state recognition, strategy decision, execution control and quality feedback of contact line grinding operation.

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.

The invention relates to the technical field of electrified railway contact networks, and particularly discloses an anti-icing and ice-melting control method and device for an alternating-current electrified railway contact network. According to the method, various targeted anti-icing or ice-melting current schemes are determined according to the specific icing conditions of the contact net and the steel rails and the locomotive running state in the power supply arm section, so that different anti-icing and ice-melting requirements are met, and the safety and smoothness of railway transportation are ensured. According to the invention, through intelligent monitoring and control means, the operation reliability and safety of the railway under severe weather conditions are improved.

The invention relates to the technical field of industrial clusters, and discloses an industrial cluster industrial chain construction method and device, equipment and a medium, and the method comprises the steps: obtaining supply associated data and property right associated data of an enterprise of an industry category to which a target industrial cluster belongs; constructing a directed contact network based on the supply association data; constructing an undirected contact network based on the property right associated data; calculating property right connection degrees among the nodes in the undirected connection network, and accumulating the property right connection degrees to paths with corresponding node relations in the directed connection network according to a preset weight to generate a multi-source data enhanced network; and traversing all node paths in the multi-source data enhanced network, calculating the accumulated connection strength of each node path, and determining the path with the highest accumulated connection strength as the industrial cluster core industrial chain. According to the method, the universality, professional interpretability and objective accuracy of the constructed industrial chain are improved.

The simple tool comprises a first lower sleeve and a first telescopic rod inserted in the first lower sleeve, a long-strip-shaped opening is formed in the side wall of the first lower sleeve in the axis direction of the first lower sleeve, a chain block is hung on the portion, above the opening, of the side wall of the first lower sleeve, and the first telescopic rod is inserted in the first lower sleeve. A lifting hook of the chain block is matched with the lower end of the first telescopic rod through the opening, and a supporting base used for supporting the cantilever is arranged at the top of the first telescopic rod. The simple tool convenient for replacing the cantilever insulator of the contact network is simple in structure, comprises a first lower sleeve and a first telescopic rod which are sleeved together, and has scalability, the first telescopic rod can ascend relative to the first lower sleeve through a chain block, the outer end of a flat cantilever is jacked up, the cantilever does not deviate, and the cantilever insulator is convenient to replace. Therefore, the insulator can be replaced safely and quickly, and the guide height change is not caused after the replacement is finished, and the guide height does not need to be adjusted.