1376results about "Tension measurement" patented technology

The invention relates to the technical field of cable manufacturing, in particular to a cabling machine self-adaptive twisting control method based on multi-dimensional tension feedback, which comprises the following steps of: 1, configuring a phase marking device on a twisting main shaft to generate a periodic reference signal; 2, performing multi-wire dynamic coupling analysis on the pressure distribution characteristics; 3, constructing a multi-dimensional feature space containing a real-time process state and a historical fault mode; 4, establishing a stranding pitch dynamic prediction model according to the trend component of the stability coefficient; and step 5, monitoring the pressure distribution abrupt change rate, the frequency domain migration rate and the balance degree index abnormity in real time, and when the pressure distribution abrupt change rate, the frequency domain migration rate and the balance degree index abnormity cooperatively exceed a dynamic threshold value, executing hierarchical control strategies including progressive speed reduction, pretension balance and a safe shutdown sequence. The tension and strain in the twisting process are monitored in real time and dynamically adjusted, so that the stability of the twisting process is effectively improved, and the quality problem caused by non-uniform tension or overlarge strain is reduced.

An icing detection method based on tension and tilt angle sensors. Two kinds of sensor data are comprehensively utilized, cross validation and mutual compensation are realized, and the precision of an icing monitoring result is improved; compared with a single sensor, data fusion of a multi-source heterogeneous sensor improves the robustness and the anti-interference ability of ice volume assessment, and improves the reliability of icing detection; an uncertainty analysis model for icing thickness is established, a confidence interval of a monitoring result is given, and more sufficient reference information is provided for related decisions; by setting a scientific and reasonable monitoring and early-warning mechanism, intelligent monitoring and early-warning of an icing condition are realized, and the intelligent level of the technology is improved; and by establishing an icing monitoring model, the icing condition of wires can be accurately predicted, and the early-warning and monitoring capabilities are improved to ensure the safe operation of a power grid. Also disclosed are an icing detection system based on tension and tilt angle sensors, a computer device and a computer-readable storage medium.

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 a monitoring method and device for a cable-supported bridge, a storage medium and a program product, and relates to the technical field of bridge engineering, and the method comprises the steps: obtaining a vibration signal of each bridge cable of a to-be-detected bridge in a current monitoring period; for any target inhaul cable in the bridge inhaul cables, fast Fourier transform is carried out on the target vibration signal to obtain a target spectrogram, and the target vibration signal is the vibration signal of the target inhaul cable; identifying a main frequency peak of each amplitude value in the target spectrogram, determining a respective frequency order of each main frequency peak based on a main peak frequency value of each main frequency peak, and determining an inhaul cable force value of the target inhaul cable based on each frequency order; and performing anomaly detection on the to-be-detected bridge based on the cable force value of each inhaul cable to obtain a monitoring result. The vibration frequency order of the inhaul cable is identified, so that the cable force value of the inhaul cable is calculated based on the frequency order, the accuracy of the cable force value is improved, and the accuracy of bridge vibration monitoring is improved.

The invention discloses a full-automatic cable vibration high-precision measurement method based on a machine vision technology, and relates to the technical field of structural vibration measurement. The method comprises the following steps: installing and calibrating equipment, and ensuring that a cable plane coincides with an imaging plane; high-frame-rate video acquisition is carried out, and comparison verification is carried out in combination with an accelerometer; screening effective pixels based on the pixel intensity time sequence variance, and constructing a pixel intensity space-time matrix by using the time sequence of the pixels; sVD decomposition is adopted to extract an accumulated energy ratio gt; 90% of the main modes are reconstructed, and real signals are revealed; a plurality of inhaul cables are automatically positioned and coded through gradient features and Hough transform; sub-pixel-level vertical displacement is calculated by applying an optical flow method, and median filtering is combined to resist noise; fourier transform is carried out to obtain a spectrogram, and a fundamental frequency is identified; and calculating cable force based on a string pulling theorem. According to the method, remote, full-field and multi-target synchronous monitoring is realized, the displacement measurement precision reaches a sub-pixel level, and a high-precision and full-automatic solution is provided for health monitoring of structures such as bridges.

The invention relates to the field of overhead line system elastic sling monitoring, provides an overhead line system elastic sling tension measurement method and system, and aims to solve the problems of insufficient tension measurement accuracy and weak analysis capability. The method comprises the steps that based on the wind load and humidity of the elastic sling of the overhead line system, the creep rate of a sling material at different temperatures and the weight coefficient of tension attenuation are associated, and a mapping database is constructed; a radar array is used for monitoring parabola deformation of the elastic sling under sliding impact of a pantograph, a yield strength temperature attenuation curve corresponding to a sling material is combined, parabolic equation parameters are corrected, and tension distribution data are generated through inversion; analyzing a vibration frequency component in the phase difference signal, associating tension data with a historical creep rate of a database in the same temperature interval, and establishing a cross-domain coupling relationship; and fusing the weight coefficient of the creep rate and the vibration distortion characteristics by using a convolutional neural network to obtain a tension attenuation prediction value. According to the technical scheme provided by the invention, the accuracy and analysis capability of tension measurement are improved.

The invention discloses a power transmission line key part stress state real-time analysis and early warning system. The system comprises a sensor acquisition module, a wireless communication module, a data processing and analysis module, an early warning response module and a visual monitoring module. The sensor acquisition module comprises a tension stress sensing unit, a displacement and attitude sensing unit and an environment monitoring unit; the data processing and analysis module comprises a data receiving and storage module, a data preprocessing module, an intelligent analysis module and a health assessment module. According to the invention, real-time high-precision monitoring is carried out on the stress state of the tower pole and the wire of the power transmission line, intelligent analysis and risk early warning are carried out according to the monitoring data, personnel can find and process in time conveniently, the safety risk is reduced, and the safety and stability of power grid operation are ensured.

The invention relates to the technical field of air permeability testing devices, in particular to a non-woven fabric air permeability detecting device which comprises a bottom plate, a lower barrel fixedly connected to the bottom plate in a suspended mode and an upper barrel arranged above the lower barrel, an opening of the upper barrel and an opening of the lower barrel are oppositely arranged, a liftable bearing disc is arranged in the lower barrel, a vertical plate is fixedly connected to one side of the bottom plate, and the vertical plate is fixedly connected to the other side of the bottom plate. A C-shaped lifting frame is slidably connected to the vertical plate, a first linear module used for driving the lifting frame to ascend and descend is installed on the vertical plate, the upper portion of the lifting frame is fixedly connected with the upper barrel, and the lower portion of the lifting frame slidably penetrates through the side wall of the lower barrel and is fixedly connected with the bearing disc. Through cooperation of the rotating ring, the curved guide rail and the linkage mechanism, the multiple clamps synchronously move in the radial direction, multidirectional uniform drawing force can be applied when the cloth is clamped, the tension is monitored in real time in combination with the tension sensor, the stretching amount is accurately adjusted, and air permeability detection of the cloth under different stretching degrees is achieved.

The invention relates to a cable force detection method for a bridge cable based on an unmanned aerial vehicle and a millimeter-wave radar, and the method comprises the following steps: providing the unmanned aerial vehicle and the millimeter-wave radar, and installing the provided millimeter-wave radar on the unmanned aerial vehicle; controlling the unmanned aerial vehicle to fly and stop at a position close to a to-be-detected bridge cable; adjusting the measurement angle of the millimeter-wave radar, enabling the measurement range of the millimeter-wave radar and the to-be-detected bridge cable to form a set angle, and detecting the to-be-detected bridge cable by using the millimeter-wave radar to obtain detection data; and processing the detection data to obtain the cable force of the bridge cable. The non-contact cable force detection of the bridge cable is realized, the unmanned aerial vehicle carries the millimeter wave radar to fly and stop in the air to realize detection, so that the bridge traffic does not need to be closed, the normal use of the bridge is not influenced, the detection process is simple and convenient, and the detection efficiency can be effectively improved.

The invention relates to a high-speed railway box girder longitudinal bar distribution method, which comprises the following steps of S1, setting a longitudinal bar datum line at a preset position of a box girder template through a high-precision laser measurement tool and a digital positioning system, and ensuring that the initial position of a longitudinal bar is accurately butted with a design drawing, so that the distribution error is reduced to the greatest extent; through a high-precision laser measuring tool, a digital positioning system and laser scanning equipment, it is ensured that the arrangement precision of longitudinal bars reaches the millimeter level, the distribution error is reduced to the maximum extent, the construction quality is ensured, manual intervention is reduced through an automatic steel bar bracket mounting device and an automatic binding device of a multi-axis mechanical arm structure, and the construction efficiency is improved. The construction efficiency is improved, it is ensured that the installation precision of the steel bars is highly consistent with the design requirement, in addition, a real-time monitoring system is arranged in the whole material distribution process and comprises a sensor, a visual recognition system and a holographic projection technology, and deviation can be detected and corrected in real time in the longitudinal bar arrangement process.

The invention relates to the technical field of yarn force detection, in particular to glass fiber yarn tension detection equipment and method, and solves the problem that the detection result is low in accuracy due to the fact that glass fiber yarn tension detection only has an accurate measurement result on static tension, the equipment comprises a non-contact vibration measurement module and a dynamic compensation mechanism, a data acquisition and transmission device and a control processing system; the method comprises the steps that S100, vibration signals are extracted, and yarn transverse vibration displacement is measured; s200, establishing a correlation model of the tension T and the inherent frequency fn; s300, dynamic error compensation: introducing an additional tension error compensation item T caused in the movement of the guide wheel and the yarn, and compensating a tension error caused by a movement factor; and S400, tension calculation: calculating a yarn tension value by integrating the static tension and the dynamic error compensation amount. The device is used for detecting and measuring the tension of yarn guiding and winding in the production process of glass fiber yarn, dynamic compensation is achieved, and the result accuracy is higher.

The invention provides a yarn anti-winding method which comprises the following steps: according to the relevance between yarn material characteristics and a processing technology, by optimizing the yarn raw material ratio and technological parameter setting, the generation of hairiness impurities on the surface of yarn is reduced, and the yarn uniformity and smoothness are improved, so that the friction adhesion risk between yarns is reduced; automatic quality detection devices are arranged among all procedures of yarn production, multi-source quality data such as yarn appearance and mechanics are collected, correlation analysis of the yarn quality data is achieved through a Kalman filtering algorithm, a yarn quality traceability chain is constructed, and when a yarn winding problem is found, a problem source is rapidly positioned and diagnosed, and the yarn winding problem is accurately detected. And a basis is provided for subsequent process adjustment.

The invention relates to the technical field of sizing machines, and discloses a tension detection and control method for a sizing machine, and the method comprises the steps: obtaining the distance between length measurement rollers, a yarn process parameter and a yarn transmission path; performing tension calculation according to the distance between the length measuring rollers and the yarn process parameters to obtain yarn tension; associating the yarn tension with the yarn transmission path to obtain a tension node diagram; according to the tension node graph and a preset tension threshold value, carrying out anomaly judgment to obtain an abnormal node; performing ant colony tracing according to the abnormal node and the tension node graph to obtain an abnormal starting node; and marking corresponding yarns according to the abnormal starting node, and pulling out the connected warp beam. The method has the advantages that the abnormal yarn area can be accurately detected, and the tension detection accuracy of the sizing machine is improved.

The invention discloses an energy collecting device and a scraper chain tension monitoring system and method, and belongs to the technical field of scraper conveyors. The scraper chain tension monitoring system comprises a tension monitoring node and an aggregation node, and the tension monitoring node is installed on a scraper and comprises an energy collection device, an energy management module, a data processing module, a strain gauge and a wireless transceiver. An energy collection device, an energy management module, a data processing module and a wireless transceiver are mounted at each of the two ends of each scraper, and a strain gauge is mounted on the scraper chain; the energy management module is used for processing a voltage signal generated by the energy collection device; the data processing module is used for acquiring tension monitoring data of the strain gauges; and the wireless transceiver is used for transmitting the monitoring data acquired by the data processing module to the sink node. According to the invention, power can be supplied to the tension monitoring node through the energy collection device, and high-quality sustainable monitoring of the tension of the scraper chain can be realized.

The invention relates to the technical field of ground wire damage detection, and provides a ground wire damage detection method and system based on magnetostrictive guided waves, and the method comprises the following steps: generating a white noise signal through a magnetostrictive transducer to excite a ground wire, and collecting a guided wave response signal of the guided waves; identifying the guided wave response signal through a spectrum analysis model to obtain the inherent frequency characteristic of the ground wire, and obtaining the optimal excitation frequency according to the inherent frequency characteristic and the amplitude frequency mapping relation; adjusting the excitation frequency of the white noise signal according to the optimal excitation frequency to obtain an optimized guided wave signal; identifying the optimized guided wave signal through a defect detection and tension monitoring model to obtain a defect tension detection result; and based on the defect tension detection result, judging the damage level of the ground wire, and generating a detection report. According to the invention, defect detection and tension abnormity monitoring are carried out at the same time, the reliability of ground wire detection is improved, and an effective monitoring means is provided for safe operation of the ground wire.

The invention discloses a photovoltaic adhesive film cutting length detection device and method, and belongs to the field of photovoltaic module production equipment. The device comprises an adhesive film conveying unit, a non-contact detection unit, a tension compensation unit and a control unit. The non-contact detection unit is fused with an incremental encoder, a laser ranging module and a visual identification module, multi-source data are fused through a Kalman filtering algorithm, and the measurement precision is remarkably improved. And the tension compensation unit monitors the tension of the adhesive film in real time and dynamically adjusts the tension degree, so that measurement deviation caused by tension change is effectively avoided. The cutting length threshold value is preset by the control unit, the cutting mechanism is automatically triggered, automatic control is achieved, and the production efficiency and the cutting quality are improved. Through multi-sensor fusion detection, dynamic tension compensation, an automatic calibration mechanism and an intelligent control algorithm, high-precision and high-stability photovoltaic adhesive film cutting length detection is achieved, and the strict requirement of the photovoltaic industry for adhesive film cutting quality is met.

The invention discloses a method and a system for rapidly measuring cable force of a stay cable based on a digital image correlation method. The method comprises the following steps: acquiring video data of the stay cable; a line segment measurement calibration method is adopted, stay cable texture points serve as feature points, and a feature point selection mechanism is established; establishing a pixel-physical space coordinate mapping model based on a redundant observation method; model parameters are calculated through a collaborative calibration method; performing displacement measurement based on a digital image correlation method; establishing a double-layer feature extraction mechanism to complete local and global feature extraction; weight distribution of the local features and the global features is dynamically adjusted through a weight adaptive fusion strategy; and finally, establishing a double-layer tracking and failure recovery mechanism to complete hierarchical collaboration of coarse-grained global tracking and fine-grained local tracking. And carrying out fast Fourier transform on the dynamic displacement measurement result, and calculating to obtain the cable force. And reliable technical support is provided for non-contact accurate calculation and measurement of the cable force.

The embodiment of the invention provides a steel wire rope tension detection method and a steel wire rope tension detection device.The method comprises the steps that under the condition that a steel wire rope is excited, a detection video of the steel wire rope is collected in real time, and the detection video comprises multiple pieces of image data on the time sequence; processing the detection video based on the tension detection model to obtain tension detection result data of the steel wire rope, acquiring the detection video of the excited steel wire rope in real time, and processing the detection image by using the tension detection model to obtain the tension of the steel wire rope. The problem that tension detection is inaccurate due to the fact that a sensor-based tension detection device is used in the prior art is solved, the field detection efficiency is improved, and the tension detection cost is reduced.

The invention relates to the technical field of building construction equipment, and discloses a supporting system for supporting a curtain wall construction hanging basket at a light well to be stressed through a scaffold. The system comprises a scaffold stress monitoring module, a hanging basket attitude calculation module, a supporting force distribution module, a structural deformation early warning module and a self-adaptive leveling module. The scaffold stress monitoring module collects and processes stress data; the hanging basket attitude resolving module generates a dynamic balance parameter; the supporting force distribution module optimizes a supporting force distribution path; the structural deformation early warning module predicts a deformation trend and outputs an early warning level; and the self-adaptive leveling module adjusts the hydraulic expansion amount of the scaffold supporting legs to calibrate the level of the hanging basket platform. All the modules work cooperatively, real-time monitoring and precise control over scaffold stress and hanging basket postures are achieved, construction safety can be effectively improved, construction precision and efficiency can be improved, and the system further has the self-adaptive adjustment capacity so as to adapt to the complex construction environment and meet the curtain wall construction requirement of a light well.

Disclosed in the present invention is a three-dimensional laser point cloud-based cable force measurement method for a stay cable. Stay cable actual measurement line shape fitting is performed by utilizing point cloud data, obtained by means of three-dimensional laser scanning, of the stay cable, and on the basis of a finite element calculation method, a line shape that is calculated by a stay cable finite element model and is the same as the actually measured line shape of the stay cable is found, thereby determining an actual cable force of the stay cable, and achieving the purpose of accurately measuring the cable force of the stay cable. According to the present invention, a three-dimensional laser scanning technology is introduced and applied to cable force measurement of a stay cable, and for the defects of a common cable force measurement method, the characteristics of non-contact measurement, high measurement precision, high measurement efficiency and the like of the three-dimensional laser scanning technology are utilized so as to achieve rapid measurement of the line shape and the section size of the stay cable. On the basis of finite element calculation and analysis, the three-dimensional laser point cloud-based cable force measurement method for the stay cable is provided, thereby achieving rapid and efficient measurement of the cable force of the stay cable.

The invention discloses a tension monitoring method, device and system for a multi-component coupled chain transmission system. The method comprises the following steps: carrying out dynamic modeling and simulation analysis on the multi-component coupled chain transmission system; on the basis of analyzing the basic structure and the working principle of the multi-component coupled chain transmission system, the chain tension of the multi-component coupled chain transmission system is analyzed and calculated; finite element analysis is carried out on the multi-component coupled chain transmission system, and a virtual chain tension sensor is designed; and carrying out experimental research on the virtual sensor design method. Real-time monitoring of the chain tension is achieved through the virtual sensor, the hardware requirement and the system cost are reduced, and the monitoring precision and the real-time performance are improved.

The invention relates to the technical field of engineering structure health monitoring, and discloses a smart cable monitoring system, which comprises a smart cable body module, a central steel wire and a fiber bragg grating smart rib are coupled through a hot cast anchor process, and the smart cable body module is used for sensing cable body strain and converting the cable body strain into an optical signal; the signal acquisition device comprises an optical signal transmitting device and a receiving device, the transmitting device directionally transmits a pulse light source to the fiber bragg grating smart rib, and the receiving device acquires multiple groups of light beams refracted and dispersed by a grating; and the data analysis platform solves the strain of the fiber bragg grating by processing the optical signal. The intelligent cable monitoring system and device aim at solving the problems that in the prior art, manual inspection is limited by labor cost and detection frequency, a single sensor is difficult to achieve multi-dimensional data synchronous collection, data transmission delay is high, and the requirement for real-time safety monitoring of an engineering structure cannot be met.

The invention provides a stay cable force recognition method based on frequency multiplication relation global optimization, and the method comprises the steps: recognizing a plurality of candidate frequencies through spectrum analysis based on stay cable vibration acceleration data collected in real time; the candidate frequency set is input into a fundamental frequency solving model, the sum of squares of frequency multiplication rounding deviation of each frequency and an approximate fundamental frequency is minimized through an optimization algorithm, and the approximate fundamental frequency is an optimization parameter for global search of the optimization algorithm; and determining a final fundamental frequency according to the solved approximate fundamental frequency, and outputting the cable force.

A sensor assembly for a conveyor belt includes a load cell attachable to a link of a modular conveyor belt and configured to measure tension in the belt and a housing. The housing may include a first cavity configured to receive at least a portion of the load cell, and a second cavity configured to receive one or more electronic components.

The utility model discloses a lifting lug type suspender cable force testing device, which is characterized in that a support plate and a stress frame body are arranged in a matching way, are respectively connected with inhaul cables of an upper half section and a lower half section and are buckled together under the influence of the tensile force of the inhaul cables, and a pressure sensor clamped between the support plate and the stress frame body can accurately monitor the tensile force of the inhaul cables; the bridge inhaul cable pressure testing device can be connected in series in an inhaul cable stress structure of a bridge, the pressure sensor can accurately monitor cable force for a long time, the carrier plate can be separated from a pressure testing surface by slowly unscrewing the nut, then a worker can maintain and replace the pressure sensor, and the bridge inhaul cable pressure testing device is easy and convenient to operate and high in reliability.

The invention relates to the technical field of stress monitoring, in particular to a steel cable stress high-precision monitoring system in the stable hoisting process of a box girder, and the system comprises the following steps: collecting stress data and inclination angle data of each steel cable for hoisting the box girder at each collection moment; dividing each axisymmetric steel cable; acquiring a stress interference factor at each acquisition moment; acquiring an external force interference moment based on the stress interference factor; obtaining a weight coefficient and a power coefficient of the inclination angle data at each external force interference moment; acquiring real stress data at each acquisition moment; and obtaining a stress disorder factor at each acquisition moment, and carrying out high-precision monitoring on the stress of the steel cable in the stable hoisting process of the box girder. The precision of monitoring the stress of the steel cable in the stable hoisting process of the box girder is improved.

The invention relates to a flexible strain sensor for ship cable safety monitoring and a preparation method and application thereof. The flexible strain sensor comprises a flexible substrate layer, a composite conductive sensitive layer and an environment protection packaging layer. The flexible substrate layer is an elastomer grid with a three-dimensional microstructure pattern and is used for bearing and transmitting mechanical stress. The composite conductive sensitive layer is attached to the surface of the three-dimensional microstructure of the flexible substrate layer and used for forming a conductive path changing along with deformation and converting mechanical deformation into a resistance signal. And the environment protection packaging layer coats the flexible substrate layer and the composite conductive sensitive layer, adopts an elastomer component which is homogeneous with the flexible substrate layer, and is used for forming an integrated sealing structure. Compared with the prior art, the problem that a traditional laminated structure is prone to stripping and losing efficacy in seawater is solved, and accurate and lag-free monitoring of the ship mooring rope tension force is achieved through modulus matching.

A deformation monitoring method and device for butt joint of a cable-stayed bridge cable tower reinforcement cage comprises the following steps: step 1, setting a data acquisition system: setting an upper computer as the data acquisition system, connecting a sensor with hoisting equipment, and connecting the sensor with the data acquisition system to ensure normal signal transmission, then all sensors are calibrated to ensure the accuracy and consistency of data; compared with the prior art, real-time posture monitoring is carried out on the cable bent tower reinforcement cage in the hoisting and butting process in the cable bent tower reinforcement cage butting and hoisting process, online posture adjustment is carried out on the cable bent tower reinforcement cage through hoisting equipment, and therefore the problem that in the existing cable-stayed bridge cable bent tower reinforcement cage butting construction process, the cable bent tower reinforcement cage cannot be hoisted in real time is solved. The butt joint process of the reinforcement cage cannot be monitored in real time, the problem that the structure safety is affected cannot be found and solved in time, and the structural performance of the reinforcement cage after butt joint is guaranteed.

The invention discloses an icing monitoring method, device and equipment based on real-time wind speed and a medium, and relates to the field of power system monitoring, and the method comprises the steps: determining the influence of a current wind load component on the tension of a wire based on the current wind speed, and obtaining the change of the tension of the wire caused by pure icing based on the influence; according to the wire tension change and the current environment temperature and humidity, conducting wire icing thickness and conducting wire icing density are obtained through inversion, and theoretical wire tension is obtained through the conducting wire icing thickness and the conducting wire icing density; determining a target residual error between the theoretical wire tension and the current actual wire tension, if the target residual error is not in a preset residual error range, updating the current inversion parameter and skipping to the step of determining the influence of the current wind load component on the wire tension based on the current wind speed until the target residual error is in the preset residual error range, and obtaining a target result; and determining whether to trigger an alarm based on the target result. According to the invention, the interference of the dynamic wind speed on the wire tension is eliminated, and the precision and real-time performance of icing monitoring are improved.

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.