814 results about "Pantograph" patented technology

The invention provides an active control method and device for a pantograph, and relates to the technical field of locomotive pantographs, and the method comprises the steps: obtaining the real-time operation parameters of a train through a train network interface; matching a corresponding pantograph control curve based on the real-time operation parameters and the configuration information; according to the current speed of the train and the matched pantograph control curve, the target pressure of an air bag is determined; receiving the actual pressure in the air bag continuously monitored by the air pressure sensor; and comparing the actual pressure with the target pressure to control the airbag pressure. According to the pantograph active control method and device provided by the invention, the pantograph net contact force detection and the pantograph controller are fused to realize the closed-loop active control function of the high-speed pantograph, the pantograph net active controller is optimized, the pantograph net current collection performance of the high-speed motor train unit is improved, and the pantograph net contact force detection and the pantograph controller are integrated to realize the closed-loop active control function of the high-speed pantograph. And a good effect is achieved through experimental research on an actual line, and related design and performance requirements can be met.

The invention relates to the technical field of rail transit, and discloses a pantograph-catenary physical variable prediction method, device and system and a storage medium, which are used for capturing a complex mapping relation of parameters in a pantograph-catenary system kinetic model from a frequency domain through a Fourier neural operator. And a complex association relationship among pantograph-catenary system parameters is simulated through the residual connection network, so that the prediction result of the target neural operator is improved. The pantograph-catenary physical variable prediction method comprises the following steps: acquiring a pantograph-catenary system input parameter corresponding to a target prediction task; inputting the input parameters of the pantograph-catenary system into the first full-connection layer for conversion to obtain an initial time domain state; inputting the initial time domain state into a plurality of target neural operators of a feature extraction layer for iteration to perform frequency domain feature extraction to obtain a target time domain state; inputting the target time domain state into a second full connection layer for conversion to obtain an initial bow net physical variable set; and inputting the initial pantograph-catenary physical variable set into the residual connection network layer for correction to obtain a target pantograph-catenary physical variable set.

An urban rail train pantograph abrasion loss lightweight prediction method based on twin data is used for urban rail train pantograph abrasion loss prediction. The invention provides a lightweight model which is high in calculation efficiency and simple in structure aiming at the problem of wear loss prediction of a pantograph carbon contact strip. According to the model, the prediction robustness is ensured, and meanwhile, the wear loss prediction of the pantograph carbon contact strip can be quickly and accurately realized. In addition, twin data of pantograph abrasion are calculated through cyclic simulation by means of material parameters of the carbon slide plate, the weight and offset of the model are adjusted and optimized, and the prediction precision is improved. According to the method, firstly, collected wear data are preprocessed and then input into a lightweight network for pre-training; and then, performing parameter tuning on the pre-trained lightweight model by using twin data, and finally storing the adjusted parameters to complete prediction of the wear life. The method achieves the precise prediction of the wear loss of the pantograph carbon slide plate, and has the advantages of being small in parameter quantity and short in operation time.

The invention discloses a railway pantograph carbon slide plate wear detection method based on machine vision, and the method comprises the steps: firstly carrying out the illumination enhancement of a pantograph image through employing an SCI model which introduces a channel attention mechanism, and carrying out the super-resolution reconstruction of the pantograph image after the illumination enhancement through employing a Real-ESRGAN model; secondly, an improved M3Net model is adopted to carry out pantograph carbon slide plate area positioning, an improved M3Net model encoder adopts a residual error post-standardization structure and logarithm interval continuous relative position deviation method, a decoder adopts an MIB module and an MAB module, and then a DexiNed model introducing a CA block and a space attention mechanism is adopted to carry out carbon slide plate abrasion edge detection; and finally, judging whether uneven wear exists or not according to a wear edge detection result. According to the railway pantograph carbon slide plate wear detection method disclosed by the invention, the problem of large wear detection error of the carbon slide plate under the condition of poor image quality or complex background in the existing method is solved.

The invention relates to the technical field of anomaly detection, in particular to a pantograph arcing anomaly detection and early warning method based on fusion of ultraviolet light and infrared imaging, and the method comprises the steps: collecting an ultraviolet spectrum signal of a pantograph region in real time, and extracting arcing feature data; acquiring infrared temperature distribution images of the pantograph and the overhead line system, and extracting temperature abnormal region data; timestamp synchronization and space coordinate mapping are carried out on the arcing characteristic data and the temperature anomaly region data, and a fusion data set with time-space alignment is generated; on the basis of the fused data set, calculating the space-time similarity between the arcing feature data and the temperature anomaly region data, and outputting an arcing-temperature correlation index; constructing a Gaussian mixture model, and dynamically judging an abnormal level; and when the abnormal grade exceeds a preset threshold value, a grading early warning signal is triggered, and a fault positioning report including an arcing position and a temperature abnormal range is generated. The method has high engineering practicability, and has important significance for guaranteeing safe and stable operation of a rail transit power supply system.

The invention discloses a pantograph structure abnormity real-time detection method and system, and the method comprises the steps: obtaining a pantograph image in a video stream of a bullet train in real time, and inputting a pantograph target detection model; performing target detection on the pantograph by adopting a target detection algorithm, and if an abnormal state occurs, triggering an alarm; if the abnormal state does not occur, performing picture cutting on the pantograph region bounding box to obtain a pantograph body region image; inputting the pantograph body area image into a pantograph key point detection model; and detecting the structure of the pantograph by adopting a key point detection algorithm, and if the structure is abnormal, triggering an alarm. According to the method and the system, target detection is carried out on the pantograph body and the abnormal state, and a rapid and accurate result is provided for detection and attitude matching of the pantograph key point.

The invention discloses a pantograph slide plate point cloud data splicing method and system based on a calibration block and an improved ICP algorithm, and the method specifically comprises the steps: firstly continuously outputting multi-frame slide plate contour data through a laser displacement sensor, and expanding the multi-frame slide plate contour data into three-dimensional point cloud data; processing the sliding plate data by adopting a hybrid filtering denoising algorithm to obtain a sliding plate contour data set, and converting two groups of laser point cloud data acquired by the two laser displacement sensors into the same coordinate system to form complete sliding plate surface point cloud data; thirdly, completing coarse registration on the sliding plate surface point cloud data by adopting a data rapid splicing method based on a calibration block; and finally, an improved ICP (Inductively Coupled Plasma) registration algorithm is adopted to complete rapid fine registration of the point cloud data to obtain complete sliding plate surface point cloud data. The method has high precision and real-time performance, can overcome the interference caused by the influence of the surface texture, color and dynamic measurement environment of the pantograph slide plate, and provides real-time data support for intelligent operation and maintenance of rail transit.

The invention relates to a real-time pantograph anomaly detection method based on image processing, and the method comprises the steps: building a pantograph anomaly detection model, training the model, collecting the image data and operation data of a pantograph in a train operation process in real time, transmitting the image data and operation data of the pantograph to a mercuric chloride chip, and carrying out the collection of the image data and operation data of the pantograph. Image data are input into the convolutional neural network unit for feature extraction, and operation data are input into the full-connection neural network unit for analysis; a pantograph region in the image data of the pantograph is extracted, secondary detection of a specified key point is carried out, and the abnormal condition of the pantograph is judged; if it is judged that the pantograph is abnormal in the two times of detection, the corresponding position is reported to a defect alarm, and a maintainer repairs the corresponding position; and if only one of the two times of detection is judged to be abnormal, the corresponding image is put into a suspected defect library, and if the position is abnormal again, an abnormal alarm is given, so that the accuracy and the real-time performance of the abnormal detection of the pantograph are effectively improved.

The invention belongs to the technical field of life state monitoring and maintenance management of a pantograph carbon contact strip, and particularly discloses a pantograph carbon contact strip full-life cycle data management system, which comprises a multi-level gradient feature library, a pseudo edge filtering technology, multi-scale feature extraction and radial basis function classification, full-scale identification of defects such as cracks is realized, and the microcrack detection accuracy is improved; multi-source data collaborative acquisition and three-dimensional coordinate mapping are adopted, and self-adaptive sliding window analysis is combined, so that data integrity and timeliness under different working conditions are ensured; through impact energy parameter integration, pressure fluctuation index calculation and a thermal expansion correction coefficient, a partition life prediction model is established, and the wear prediction error of a key area is reduced; high-risk area automatic marking and maintenance work order generation are realized, the RFID tracing technology is combined, the maintenance efficiency is improved, and the service life is prolonged. According to the method, the defects of a traditional method in the aspects of defect detection, dynamic monitoring and service life prediction are effectively overcome.

The invention relates to the technical field of pantograph-catenary system monitoring, and discloses a nonlinear pantograph-catenary system state prediction method based on a physical information neural network, and the method comprises the steps: obtaining the structural parameters of a catenary and a pantograph in a nonlinear pantograph-catenary system, and the train speed; a multi-expert Mama network based on Fourier transform is constructed; utilizing the first full connection layer to map input features formed by the structural parameters of the contact net and the pantograph and the train speed to a high-dimensional feature space to obtain first high-dimensional features; frequency domain features are extracted from the first high-dimensional features by using a plurality of cascaded multi-expert Mamba network layers, and time sequence features are modeled at the same time; fusing the spliced frequency domain feature and the time sequence feature by using a second full connection layer to obtain a second high-dimensional feature fusing the time-frequency energy and the dynamic evolution information; and performing nonlinear pantograph-catenary system state prediction according to the second high-dimensional features. According to the invention, the state prediction accuracy of the nonlinear pantograph-catenary system can be improved.

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 discloses an intelligent handheld pantograph tension tester which comprises a fixing mechanism used for fixing a pantograph and a testing mechanism used for testing the tension of the pantograph, the testing mechanism comprises a tension sensor, a rope assembly, a locking assembly and a handheld controller, one end of the tension sensor is connected with the fixing mechanism, and the other end of the tension sensor is connected with the rope assembly. The other end of the tension sensor is connected with the rope assembly, the locking assembly is connected with the pantograph and the rope assembly, and the handheld controller is used for controlling the pantograph tension testing process. The locking assembly comprises a clamping block, a clamping groove is formed in one side of the clamping block, a limiting module is arranged on the part, located at the top of the clamping groove, of the clamping block, the limiting module is used for locking the whole locking assembly to the corresponding position of the pantograph, a testing module is arranged on the part, located at the bottom of the clamping groove, of the clamping block, and the testing module is used for testing the locking state. A winding module is arranged at the bottom of the clamping block and used for being matched with the rope assembly for winding. The accuracy in the pantograph tension detection process is improved.

The invention provides a pantograph ice scraping device and method for real-time deicing and relates to the technical field of rail transit, and the method comprises the steps that the train speed, the gravity of a contact line under icing and the contact force of a current-receiving pantograph are collected in real time; inputting the train speed and the gravity into a preset pantograph-catenary dynamical model to calculate the optimal lifting force of the ice-scraping pantograph; based on the optimal lifting force of the ice scraping pantograph, the height of the ice scraping pantograph is controlled in real time for ice scraping; calculating a difference value between the contact force and a preset contact force, and updating the optimal lifting force of the current-collecting pantograph through the difference value; and the height of the current-receiving pantograph is controlled based on the optimal lifting force of the current-receiving pantograph, and optimal pantograph-catenary matching during ice scraping of the pantograph is achieved. According to the method, the problems that under the conditions that the icing speed of the overhead line system is high and the skylight time is short, the overhead line system cannot be conveniently and efficiently deiced, and good contact between pantograph catenaries cannot be guaranteed in an existing method are solved.

The invention relates to a pantograph (1) for a rail vehicle, the pantograph comprising a structure and an articulated frame (5) mechanically connected to the structure, and a head mechanically connected to the articulated frame, wherein the pantograph is characterised in that it comprises a safety device (36) and an actuator (30) configured to act on the articulated frame via the safety device, and wherein the safety device is configured to selectively: - mechanically couple the actuator to the articulated frame, whereby the articulated frame can be moved, by the actuator, between a raised position in which the head is in contact with a catenary and a lowered position in which the head is brought closer to the structure; and - mechanically uncouple the actuator from the articulated frame, whereby the articulated frame moves into the lowered position, under its own weight, independently of the action of the actuator.

The invention discloses a video online identification method and device for a locomotive, and relates to the technical field of railway vehicles, and the method comprises the steps: receiving a steward monitoring video stream sent by a front camera and a pantograph monitoring video stream sent by a pantograph camera; based on the steward monitoring video stream, determining whether the steward has a view deviation abnormal condition and a discontinuous lookout abnormal condition, and determining whether the front camera has a shielding abnormal condition; based on the pantograph monitoring video stream, determining whether the pantograph has a structure abnormal condition, a spark abnormal condition and a foreign matter invasion abnormal condition; in response to determining that at least one of the visual field deviation abnormal condition, the intermittent outlook abnormal condition and the shielding abnormal condition exists, carrying out online real-time reminding on the steward; and in response to determining that at least one of the structure abnormal condition, the spark abnormal condition and the foreign matter invasion abnormal condition exists, determining a fault sub-video from the pantograph monitoring video stream, and sending the fault sub-video to the client.

The present invention relates to an adaptive charging bow, belonging to the technical field of charging equipment. The adaptive charging bow comprises: a charging plate (500), and a front-rear adjustment mechanism (200) fixedly connected to the charging plate, and a parallelogram mechanism (300) fixedly connected above the front-rear adjustment mechanism, and a left-right adjustment mechanism (400) connected above the parallelogram mechanism, and an equipment frame (100) located above the left-right adjustment mechanism for fixing the left-right adjustment mechanism. Adaptive adjustment is achieved during the contact between the charging bow and the pantograph, dust on the plate is removed, and high-power charging is accurately provided for the vehicle. The charging docking structure is simpler, and the vehicle can be charged quickly. In terms of the performance of the charging operation, the cumbersome operation of manual operation is eliminated.

The invention discloses a pantograph arc monitoring method based on a multi-mode arc detection network, and belongs to the technical field of pantograph arc monitoring, and the method comprises the following steps: building a multi-mode arc detection network based on a de-noising diffusion probability model DDPM and a semantic decoder, and carrying out the self-supervision training through an unmarked pantograph image, a trained multi-mode arc detection network is obtained; and inputting a pantograph image in an actual line into the trained multi-mode arc detection network to obtain an arc prediction label, and completing pantograph arc monitoring. According to the method, the visible light image features and the infrared light image features are extracted by using the de-noising diffusion probability model DDPM, robust and discriminative features can be generated, and the dependence of a multi-mode arc detection network on the arc data labeled with labels is reduced; the semantic decoder is used for fusing the multi-modal data of the image, and the dependence of the multi-modal arc detection network on the labeled arc data is reduced through the audio-visual correlation of the arc characteristics.

The invention relates to the technical field of pantograph carbon contact strip abrasion, and particularly discloses a pantograph carbon contact strip abrasion self-adaptive detection system based on multi-sensor fusion, which comprises a carbon contact strip data acquisition module, a comprehensive abrasion degree generation module, a self-adaptive adjustment generation module, an abrasion risk judgment module and a database, according to the method, surface images, edge thickness, real-time temperature and dynamic contact pressure data are collected through a camera and a multi-source sensor, the direct abrasion degree and the indirect abrasion degree are calculated, then the comprehensive abrasion degree is obtained, the historical mean value and the standard deviation of the abrasion degree are calculated according to historical data, and the comprehensive abrasion degree is obtained. The current comprehensive abrasion degree deviation degree is combined to adjust the abrasion threshold sensitivity and generate a dynamic abrasion threshold, and the detection period is adjusted accordingly, so that the defects of singleness and fixed threshold of a traditional detection method are overcome, the detection accuracy and the operation and maintenance efficiency are improved, an intelligent solution is provided for state management of the pantograph carbon contact strip, and the detection efficiency is improved. And train operation safety is guaranteed.

The invention discloses a high-speed rail pantograph infrared thermal image intelligent monitoring system, which relates to the technical field of intelligent monitoring, and comprises the following steps: determining a monitoring target and carrying out data acquisition to obtain infrared thermal image data; performing heat map analysis and anomaly detection according to the infrared thermal image data to obtain a heat map analysis result; generating a fault early warning model by using a machine learning algorithm according to a heat map analysis result; performing real-time fault diagnosis and decision support according to the fault early warning model to obtain a fault diagnosis result; generating a system optimization and maintenance suggestion according to the fault diagnosis result; performing equipment maintenance and performance improvement according to the system optimization and maintenance suggestion to obtain a maintenance result; and performing long-term monitoring and intelligent decision making according to a maintenance result. According to the efficiency of the genetic algorithm in multi-objective optimization, the accuracy of equipment fault early warning and the rationality of a maintenance strategy are improved, the operation efficiency and safety of equipment are improved, and long-term stable operation of the high-speed rail pantograph is guaranteed.

The invention relates to the technical field of image data processing, and discloses an anomaly detection method and system based on a pantograph image, and the method comprises the steps: obtaining a series of first images of a pantograph region, calculating the shielding area and illumination uniformity of the first images, and obtaining the first images of the pantograph region; if any one of the shielding area or the illumination uniformity does not meet a preset condition, screening out the corresponding first image; and identifying each part of the pantograph in the first image, judging whether each part is abnormal or not according to a preset condition, and outputting a first judgment result. Therefore, due to the fact that the part, not meeting the requirement, of the first images in the series of first images is screened out, all the components are recognized, and a more accurate and reliable pantograph anomaly detection result can be obtained.

The invention relates to the technical field of pantographs, in particular to an electrified highway pantograph control and state monitoring method, which comprises the following steps of: acquiring operation data of pantograph contact pressure, voltage, current and vehicle speed based on the real-time operation state of the pantograph, segmenting according to the number of a vehicle driving path, calculating the change trend of the contact pressure, and calculating the state of the pantograph according to the change trend. And obtaining path gradient index data. According to the invention, through segment data acquisition of contact pressure, voltage, current and vehicle speed and track serial number association processing, diversity of monitoring data and track pressure change capture capability are improved, and through cooperative association analysis of pantograph slide plate state, current change and pressure fluctuation, a fault range is effectively reduced, and fault diagnosis accuracy is improved. The method is advantaged in that fault positioning accuracy is enhanced, potential offset areas and unbalance points in the track can be identified, and through distribution characteristic analysis, contact point fluctuation marking precision is optimized.

The invention relates to a dynamic identification and measurement method and system for a flexible pantograph-catenary contact point of a large iron, and the method is realized by adopting an overall architecture of two processes: the first process is located at a vehicle-mounted end, and the pantograph-catenary contact point is identified by adopting an infrared camera to obtain an image, gray matching NCC and Hough straight line detection; and then real-time rapid analysis is carried out to store possible overrun problem data. And in the second process, the main control device located at the ground end carries out secondary analysis on the abnormal video to obtain final abnormal alarm information. Wherein the second process is realized by adopting target detection of deep learning, and an alexnet model framework is used for training to obtain model parameters of the pantograph and the contact point for forward reasoning. The method comprises the following two steps of: identifying a pantograph area, longitudinally expanding part of the area according to a result of the first step, and performing target detection on a cross-like intersection point in pantograph-catenary contact in the area. The method is good in real-time performance and high in anomaly detection accuracy. The practicability is high, and the popularization significance is high.

The invention provides a training method of a pantograph fault judgment model, a fault judgment method and a train, and relates to the technical field of rail trains. The training method comprises the steps of obtaining a fault training set; and iteratively executing operation 1-operation 3: operation 1, inputting the modal information into an initial neural network corresponding to the modal information, and outputting modal features of the modal information; operation 2, the multiple modal features of the training sample are processed through a classification fusion network, a state prediction result is obtained, the state prediction result represents whether the pantograph breaks down or not, and the classification fusion network is constructed based on multiple target attention networks and a target classifier; 3, adjusting model parameters of an initial judgment model according to the state prediction result and the state label, wherein the initial judgment model comprises a plurality of initial neural networks and a classification fusion network; and under the condition of model parameter convergence, determining the initial judgment model as a trained pantograph fault judgment model.

The invention discloses a system for simulating the contact condition of a pantograph and a contact net after an earthquake. Relates to the field of railway bridge contact net anti-seismic tests. The system comprises a contact network simulation assembly, a train simulation assembly and a vibration table assembly. The contact network simulation assembly comprises a winch, a contact rope and two supporting columns. The two supporting columns are fixedly arranged at intervals, the winch is arranged at the top ends of the supporting columns and used for driving the contact rope to slide between the two supporting columns, the train simulation assembly comprises a train body, wheel parts arranged below the train body and a pantograph arranged on the train body, and the pantograph is in contact with the contact rope; the vibration table assembly comprises a table body and a vibrator used for vibrating the table body. The table body comprises a plurality of table tops which are independently arranged; the wheel part is placed on the table body; the vibration table assembly is adopted, each wheel below the train head is placed on the corresponding vibration table, and compared with the situation that a large vibration table top is placed below each wheel of a front bogie and a rear bogie, the real situation that the vibration states of all the wheels are different when a train runs on an unsmooth track after an earthquake is better met, the requirement for laboratory equipment conditions is lower, and the working efficiency is improved. Theoretically, test simulation is easier to realize, and the test result is more real, accurate and comprehensive.

The invention belongs to the field of railway vehicle pantograph overhauling, and discloses an intelligent pantograph state detection method. The method comprises the steps of carrying out fault detection on a pneumatic pantograph lifting mechanism of the pantograph, carrying out fault identification on a pantograph fastener and carrying out anomaly detection on a pantograph head of the pantograph. According to the pantograph state intelligent detection method provided by the invention, state detection and parameter measurement are carried out on the pantograph by using the existing vehicle equipment, planned repair is changed into state repair, automatic intelligent maintenance is realized, the labor cost is reduced, the efficiency is improved, the workload of maintenance and repair is reduced, the vehicle operation utilization rate is improved, and the vehicle operation cost is reduced. The vehicle real-time detection data is more efficient and accurate, faults can be found in time and early warned, problems can be handled in the first time, and the vehicle operation safety can be improved.

The invention discloses a pantograph-contact network system operation performance evaluation method and system. The method comprises the following steps: firstly, collecting data in real time, normalizing the collected data, and screening key hidden dangers which have power-off risks and need speed reduction operation through a two-stage risk rapid judgment mechanism; after hidden dangers are eliminated, an analytic hierarchy process is adopted to calculate index weights and initial weights of all parameters, then information entropies of all the parameters are calculated based on an improved entropy weight method to determine the dispersion degree, and real-time dynamic adjustment of the parameter weights is achieved through a combined weight method; and finally, by applying a fuzzy comprehensive evaluation method and combining the dynamically adjusted parameter weights and the membership degrees of the parameters, calculating the operation performance score of each index, then obtaining the comprehensive score of the operation performance of the pantograph-catenary system, and judging the performance grade according to the score interval. The method and the system provided by the invention are suitable for accurate evaluation of the operation performance of the icing galloping section pantograph-catenary system, and can quickly identify the operation risk and scientifically judge the performance grade.

A drive system for raising or lowering a sliding piece of a current collector for rail vehicles. The sliding piece is disposed on a positioning device of the current collector, and the sliding piece is configured to be brought into contact with an overhead line using contact pressure. The drive system includes a bellows drive which is actuated by compressed air to actuate the positioning device, and a pneumatic control unit having a control valve for supplying or withdrawing compressed air to / from the bellows drive. The drive system includes a detection line and a lowering valve for venting the bellows drive when pressure drops in the detection line, the lowering valve being a 3 / 2-way valve disposed in a pneumatic supply line between the control valve and the bellows drive.

The invention discloses a method and a system for detecting a pantograph cleat state. The method comprises the following steps: acquiring a cleat state image in a train running state in real time; identifying a pantograph region image in the cavel state image by using the overall pantograph detection model; performing semantic segmentation on the pantograph region image by using the target cavel detection model to form a cavel image; and performing fine segmentation on the cavel image to form a cavel feature image, and determining whether each cavel in the cavel feature image is in a contour structure abnormal state or not by using an abnormal state detection model. According to the method, the state of the pantograph cleat can be quickly and accurately judged in real time in a complex rail transit environment.

The invention discloses a spring pantograph force adjusting system which comprises a bottom frame, a spring system, a force adjusting mechanism and an electric drive system. The bottom frame is of a frame welding structure, located at the bottom of the pantograph and used for supporting connecting components, the spring system is used for driving the lower arm to enable the pantograph to rise, and the force adjusting mechanism and the electric drive system are used for adjusting force. According to the spring pantograph force adjusting system, a force adjusting mechanism, an electric drive system and a spring drive system are integrally designed at the position of a pantograph underframe, the purpose that the spring force is adjustable in the pantograph running process is achieved, and the problems that the spring force of a high-speed spring pantograph cannot be adjusted, and the pantograph net following performance under high-speed running cannot be guaranteed are solved. And the high-speed operation current collection performance of the spring pantograph is ensured.

The invention provides a pantograph-catenary detection calibration test device and a pantograph-catenary detection system, and belongs to the technical field of pantograph tests. The problems that existing testing equipment can only measure static parameters of a pantograph, only vertical vibration of a contact network is simulated in dynamic testing, the working state when a pull-out value exists cannot be considered at the same time, and the testing function is single are solved. The platform comprises an inner frame high-frequency excitation system, a supporting component comprises supporting frame stand columns, the supporting frame stand columns are installed on the two sides of the upper end of the platform, outer frame driving systems are installed on the inner sides of the supporting frame stand columns, a middle frame driving system is installed between the two outer frame driving systems, and the outer frame driving systems drive the middle frame driving system to move in the vertical direction. The high-frequency excitation cylinder is installed on the high-frequency excitation cylinder installation frame, the bottom of the high-frequency excitation cylinder is connected with the installation frame, the guide sleeve is installed below the installation frame, the buffer spring is connected to the outer side of the guide sleeve in a sleeving mode, and the bottom of the guide sleeve is connected with the contact line. The device is mainly used for pantograph catenary detection.