976results about "Tension measurement" patented technology

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 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 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 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 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 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.

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.

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 relates to the field of power transmission and communication, and discloses an intelligent cable monitoring system for monitoring the state of a cable in real time, and the system comprises a data collection module, a physical modeling module, an inverse problem solving module, an optimization algorithm module, a fault positioning module and a precision evaluation module. The method comprises the following steps of: arranging various sensors at key positions of a cable, acquiring temperature, stress, vibration and electromagnetic field data in real time, accurately positioning a cable fault position by combining physical modeling and an optimization algorithm, and optimizing a fault positioning result through precision evaluation and regularization adjustment. According to the method, the cable fault positioning precision is improved through multi-physics field joint modeling, inverse problem solving and optimization algorithms, and the problems of insufficient information dimension and poor flexibility are solved. Precision evaluation and regularization dynamic adjustment are introduced, the adaptive capacity of the system is enhanced, visual fault output and automatic report generation are designed, and the information interaction efficiency and the operation and maintenance response speed are improved.

The invention belongs to the technical field of data processing methods, and particularly relates to a tension detection method and system for yarn conveying to solve the technical problem that a detection method in the prior art is low in precision, and the method comprises the following steps: S1, collecting multi-modal vibration data of a yarn in a preset detection area, the multi-modal vibration data comprises a yarn vibration displacement time sequence image obtained based on a linear array camera and a vibration acoustic signal obtained based on an acoustic sensor; s2, constructing a space-time joint feature vector representing the vibration dynamic characteristics of the yarn; s3, separating out pure yarn vibration characteristics influenced by background vibration of the rejecting equipment; and S4, determining the instantaneous tension of the yarn by solving the inverse problem of the nonlinear wave equation coupled with the tension, the bending moment and the air damping. The linear array camera and the acoustic sensor are adopted, multi-mode and multi-dimensional information collection of yarn vibration is achieved, space-time joint feature vectors are constructed, and complex vibration behaviors of yarn can be represented more comprehensively and accurately.

The invention discloses a mixed tower steel cable pre-tightening force real-time monitoring method and system, and relates to the technical field of wind power generation. The method comprises the following steps: acquiring known dynamic characteristic data of the mixed tower steel cable under multiple working conditions and multiple structures; analyzing and screening key parameters which effectively represent the dynamic response, the system structure and the working condition load of the mixed tower steel cable system in the dynamic characteristic data by utilizing global sensitivity, and constructing a dynamic characteristic database according to the key parameters; constructing a structure-working condition-response relation neural network agent model by means of a neural network or a regression prediction method based on the dynamic characteristic database; and performing reverse calculation on real-time working condition data and motion response data sensed by the sensor by using the structure-working condition-response relation neural network agent model to obtain the pre-tightening force of the mixed tower steel cable. According to the invention, the pre-tightening force of the steel cable of the mixed tower can be accurately monitored in real time, and the pre-tightening force prediction of the mixed tower under the extreme working condition and the fault working condition is realized.

A line monitoring system includes a plurality of sensor nodes fixed along at least one line. Each of the sensor nodes includes an instrument that generates sensor data indicating a motion, rotation, position, temperature, or deformation of the line, and includes a transceiver that transmits the sensor data from the instrument. The system also includes a remote computer that indicates the sensor data to a user, where the sensor data from each of the sensor nodes is synchronized.

A force measuring device for a binding belt includes a force measuring body and a pressure sensor mounted on the force measuring body, the force measuring body is provided with two belt mounting grooves, the pressure sensor is provided between the two belt mounting grooves, the binding belt passes through the two belt mounting grooves, and the binding belt is pressed on the pressure sensor with the two belt mounting grooves as two fulcrums of the binding belt. The force measuring device for the binding belt can conveniently detect the tensioning force of the binding belt, and after binding is completed, it is ensured that the binding belt is in a tightened state to prevent goods from scattering due to loosening of the binding belt, which is conducive to ensuring safe transportation of the goods.

A portal crane steel wire rope dynamic tension detection method comprises the steps that firstly, a steel wire rope bypasses a three-pulley assembly of a tension detection device, and the dynamic tension change of the steel wire rope is converted into the tension included angle change of the three-pulley assembly; then, the tension included angle change is converted into line voltage of an electromagnetic conversion assembly through a vibration assembly of the tension detection device; and finally, the line voltage generated by the electromagnetic conversion assembly is measured through a rectification and energy storage circuit, the horizontal displacement of a rotor of the vibration assembly is measured through a displacement sensor, a measured line voltage signal and a measured displacement signal are transmitted to a calculation and data processing module through a wireless transmission module, and the dynamic tension of the steel wire rope is calculated. According to the dynamic tension detection method for the steel wire rope of the portal crane, the tension of the steel wire rope can be detected in real time, and the self-energy-supply requirement of the tension detection device is met.

The invention relates to a high-altitude operation lifeline system for bridge construction, which belongs to the technical field of construction safety and comprises a plurality of support rods and a control module, and any two support rods are connected through a steel wire rope; each supporting rod comprises a lifter and a telescopic rod, each lifter is used for driving the corresponding telescopic rod to move in the axial direction of the corresponding telescopic rod, each telescopic rod comprises an outer rod and an inner rod which are connected in a sleeved mode, each outer rod and the corresponding inner rod are connected through a supporting rod spring in a contraction state, and each inner rod is connected with the corresponding steel wire rope through a rope tensioner; the control module is connected with the supporting rod spring and the rope tensioner, the control module improves damping of the supporting rod spring when the height of the lifter is lower than a threshold value or the density of the supporting rod exceeds the threshold value, and the control module reduces damping of the supporting rod spring when the height of the lifter is higher than the threshold value or the density of the supporting rod is lower than the threshold value. And the damping of the rope tensioner is inversely proportional to the damping of the supporting rod spring.

The invention provides a monitoring data determination method, a simulation device, a simulation device test method, electronic equipment and a storage medium, and relates to the field of data processing, the simulation device comprises a displacement device, a plurality of target anchor chains and sensors corresponding to the target anchor chains, the monitoring data determination method comprises the following steps: acquiring displacement parameters of a displacement device; controlling the displacement device to displace in a preset space range at a preset speed, wherein the preset space range is determined based on the displacement parameter; a top end tension data set of the corresponding target anchor chain is collected through a sensor, the top end tension data set comprises top end tension of the target anchor chain in multiple different target states, and the target states comprise at least one of a normal state, an anchor dragging state and an anchor breaking state; and storing the top tension data set, wherein the top tension data set is used for monitoring the target anchor chain in the actual environment.

The invention discloses a pulling and lifting cable frequency detection and cable force measurement method and system based on a millimeter wave radar, and belongs to the field of pulling and lifting cable force measurement. The method comprises the steps that vibration signals are collected through the millimeter wave radar to obtain complex data streams, time-frequency analysis is conducted on the complex data streams, and an interference model is established; the method comprises the following steps: reconstructing a noise-reduced vibration signal by adopting adaptive filtering, extracting candidate vibration frequencies through power spectral density estimation and spectral peak detection, calculating corresponding stability scores, and obtaining a first verification factor used for evaluating wind disturbance and a second verification factor used for evaluating vibration frequency deviation; according to the method, through multi-source sensing data fusion and self-adaptive signal processing, complex environment interference is effectively overcome, non-contact high-precision cable force measurement is achieved, and the method has the outstanding advantages of being high in anti-interference capacity, high in measurement reliability and the like.

The invention discloses a lake self-settling layered water sampling device and method, and belongs to the technical field of water quality monitoring. The device comprises a bearing table floating on the water surface, a main control box is arranged in the middle of the bearing table, the bottom of the main control box is connected with a rope-controlled lifting assembly, and the rope-controlled lifting assembly is connected with a self-settling water sampling assembly through a pull rope; the rope-controlled lifting assembly comprises an adjustable-speed motor, a rope winding roller and a depth detection unit, the self-settling water sampling assembly comprises a multi-cavity water sampling barrel and a counterweight cabin, and the main control module coordinates all the assemblies to realize stratified sampling. The invention further discloses a lake self-settling layering water sampling method. The device can accurately obtain water samples in different depths of lakes, and is suitable for scenes of lake ecological monitoring, water quality analysis and the like.

A system may include a cable tensioning system, comprising: a first support structure having a first securement point; a second support structure spaced from the first end pile and having a second securement point; a third support structure positioned between the first support structure and the second support structure, the third support structure having a cable support; and a cable extending between the first support structure and the second support structure having a tension value, wherein the tension value corresponds to at least one environmental factor related to where the system is geographically located, and a maximum possible vertical distance from the cable at the first securement point to a low point along a length of cable between the first securement point and the second securement point.

The invention discloses a yarn tension detection mechanism, and relates to the technical field of yarn tension detection, the yarn tension detection mechanism comprises a detection table, and also comprises a single multi-section tension detection mechanism installed at the top of the detection table; according to the invention, the center tightening mechanism is installed to make the yarn in a tensioning state before segmentation, the tensioning degree and length of multiple segments of yarns are kept consistent, the consistency of detection results is guaranteed, the multiple segments of isolation clamping mechanisms are installed to divide a single yarn into multiple segments of detection segments, the multiple segments of yarns are isolated, mutual influence of the multiple segments of yarns is avoided, and the detection efficiency is improved. The method comprises the following steps of: arranging a yarn humidifying mechanism, monitoring tension data of the yarn in real time, selectively humidifying the yarn by adding a specified amount by installing the yarn humidifying mechanism, and testing the tension of the yarn by utilizing a single multi-section tension detection mechanism after humidifying, so as to obtain the tension data of the yarn with different humidity and obtain the performance of the yarn in different environments; and evaluating the yarns according to the performance data.

The invention relates to a method for determining at least one physical characteristic variable of a belt drive and / or of a belt in the belt drive in a static and / or dynamic operating state, to a computer program for carrying out such a method, and to a device for determining at least one physical characteristic variable of a belt drive and / or of a belt in a belt drive in a static and / or dynamic operating state.

The present invention relates to a method for estimating the severity of vibration, which is the product of vibration frequency f by antinode amplitude of vibration A, and for estimating fatigue lifetime or damage of a suspended electrical cable span of overhead power lines, said suspended electrical cable span having a sag possibly negligible with respect to span length, and a mean local tension H, and a local oscillating motion amplitude u(x, t) with a local space derivative of motion (I), and being subject to a variation of said tension H, motion amplitude u(x, t) and said space derivative over time (I) due to vibration, wherein said estimation of the severity of vibration Af is obtained from the measurements of said amplitude motion u(x, t) and said space derivative of the motion amplitude (I) according to the formula (II), where ω, (III), H, m, (I) and (IV), are respectively the pulsation of the oscillating motion, the wave speed, the mean local tension of the suspended cable span, the mass per unit length of the suspended cable span, the space derivative of said motion amplitude, and the acceleration of said motion amplitude; and wherein said fatigue lifetime or damage are obtained from a number of cycles estimated from said tension frequency analysis and a stress level is obtained from said motion amplitude and said space derivative of the motion amplitude.

The invention discloses a tension real-time feedback and slitting online monitoring system for a slitting machine, which belongs to the technical field of coiled material slitting and comprises a first guide roller group, a second guide roller group, a third guide roller group, a shearing mechanism and a polishing mechanism which are mounted on a fixing frame. The tension real-time feedback and slitting online monitoring system of the slitting machine further comprises a second mounting plate and a controller. The power of the first shearing roller is transmitted to the two sets of grinding assemblies through the first transmission belt, so that the multiple grinding parts of the two sets of grinding assemblies rotate synchronously, the top face and the bottom face of the coiled material obtained after slitting are ground, corners and burrs generated in the slitting process are removed, and the requirement of subsequent machining for the surface smoothness of the coiled material is met. The controller can be matched with the corresponding grinding rotating speed according to the burr conditions of different cut coiled materials, the situation that the coiled materials are damaged due to excessive grinding is avoided, and the defect that grinding is insufficient and residues exist is also avoided.

The invention discloses a mine hoisting steel wire rope tension intelligent nondestructive monitoring device, system and method, the monitoring device comprises a shell formed by folding two half shells, the center of the shell is provided with a channel for a hoisting steel wire rope to pass through, the inner sides of the front and rear ends of the shell are provided with permanent magnets, and the middle of the shell is annularly provided with a Hall sensor group; magnetic gathering devices are arranged on two sides of the Hall sensor, and the permanent magnet is connected with the magnetic gathering devices through armatures; the device further comprises a guide wheel, a rotary encoding wheel with an encoder, a thermistor sensor and an alternating current inductance coil, and each core component is formed by combining half bodies and is arranged in two half shells respectively. A magnetic flux monitoring technology is combined with a tension monitoring model, so that the monitoring precision and the anti-interference capability are improved, the system adapts to a complex mining environment, nondestructive monitoring and dynamic alarm can be realized, and the safety of a lifting system is guaranteed.

The invention provides a cable force detection method, device and system for a cable bearing bridge, and relates to the technical field of bridge monitoring. The method comprises the following steps: acquiring an echo signal of an inhaul cable in a to-be-detected bridge; constructing a corresponding radar cube matrix according to the echo signal; peak value searching is carried out on the signal amplitude of the signal data under the distance dimension in the radar cube matrix, the distance index of each peak value point on the distance dimension is determined, and the distance index is used as the distance index corresponding to each inhaul cable; based on the distance index and the radar cube matrix, incident angle information corresponding to each inhaul cable is determined; and based on the distance index and the incident angle information corresponding to each inhaul cable, determining an enhanced signal corresponding to each inhaul cable by using a beam forming technology. According to the invention, the signal data of each inhaul cable can be effectively separated, the signal data precision of each inhaul cable is improved, and the cable force detection precision is further improved.