79857 results about "Electric cables" patented technology

The invention provides a power cable fault detection method, which comprises the following steps of: obtaining a cable material, a laying environment and an insulation aging degree attribute parameter of each monitoring segment according to a pre-established power cable segment model, determining a correction coefficient of the segment model according to load current magnitude at different operating temperatures, and determining a power cable fault detection result according to the correction coefficient; the correction coefficient is used for adjusting the electrical parameter of each segment to adapt to the actual operation condition; in the fault positioning process, a time sequence analysis method is introduced, the dynamic change trend of current and voltage data before and after a fault occurs is considered, the fault occurrence moment is recognized through an anomaly detection algorithm, and the position coordinates of a fault point are corrected according to the difference between the cable material and the laying environment in combination with a judged fault area.

The invention relates to the technical field of cable operation state detection, and particularly discloses a multi-source data driven cable operation state comprehensive evaluation method, which comprises the following steps of S1, adopting a layered distributed sensing network architecture, and deploying three types of core sensors at key nodes of a cable, through space-time calibration of the multi-source heterogeneous sensor, data consistency is improved, fusion deviation is eliminated, the problem of data islands of a traditional system is solved, and a precise evaluation foundation is laid; noise suppression and dynamic correlation modeling are adopted, environmental interference is stripped, a vibration and displacement coupling relation is quantified, limitation of a single parameter is broken through, heterogeneous fault features are captured, and evaluation comprehensiveness and sensitivity are improved; a self-adaptive threshold mechanism is constructed based on environment weight and historical data, the bottleneck of a fixed threshold is broken through, an evaluation standard is corrected along with equipment aging and environment change, misjudgment is avoided, and diagnosis robustness in different scenes is enhanced.

The invention provides a power cable joint insulation state intelligent monitoring method based on a complex environment. The method belongs to the technical field of power system monitoring, and comprises the steps that related data are collected through multiple means, and the related data comprise environment temperature data, partial discharge signals and temperature distribution images; collected environment parameters and partial discharge signals are input to an intelligent analysis system, preprocessing and feature extraction are carried out, an insulation state prediction model is established based on a machine learning algorithm, and the aging degree and potential fault points of a cable joint insulation layer are predicted according to historical data and real-time monitoring data. Environment temperature data, partial discharge signals and temperature distribution images are collected through multiple means, and an intelligent analysis system and a machine learning algorithm are combined, so that the aging degree and potential fault points of the cable joint insulating layer can be predicted more accurately.

The invention provides a mining circuit fault self-diagnosis method and system. According to the method, current and voltage waveforms and three-dimensional vibration signals of a cable are collected, and anti-interference data are generated through self-adaptive noise reduction and time sequence synchronization; a waveform interception window is dynamically adjusted based on the correlation between the mechanical vibration intensity and the current transient rate, the wave crest slope variable quantity is extracted from the current transient segment, high-frequency harmonic energy is separated from the voltage transient segment, time-frequency analysis is carried out on the vibration signal to extract an energy sudden increase frequency point, and a mechanical damage spectrum feature set is constructed; inputting the features into a space-time correlation model, and verifying space-time consistency of current distortion and voltage abnormity to generate composite features; dynamically correcting a fault threshold based on the environmental interference factor; and finally, a short-circuit peak or open-circuit oscillation diagnosis result is output according to the association strength of the electrical and mechanical characteristics. According to the invention, accurate fault self-diagnosis of the mining cable under a complex working condition is realized.

The invention discloses a multi-sensor information fusion method for monitoring the insulation state of a high-voltage cable, and relates to the technical field of information. The method comprises the following steps: acquiring magnetic flux distribution data at different spatial positions in a grounding box according to a three-axis orthogonal magnetic flux sensor, and analyzing magnetic flux distribution characteristics to obtain a spatial sensitivity distribution map; the method comprises the following steps: acquiring a magnetic field signal generated by a cable fault discharge source, decomposing and calculating a magnetic field gradient tensor by adopting an inversion method based on the magnetic field gradient tensor, positioning a defect position of cable insulation, and acquiring three-dimensional space coordinate information of the defect position; according to a cable insulation state space distribution evaluation result, the arrangement density of the fluxgate sensors is increased in an insulation fault high-incidence area, the arrangement of the tetrahedral configuration sensor array is optimized, and a comprehensive evaluation index system is constructed. Data support is provided for state monitoring and life prediction, and the operation reliability of the cable is improved.

A pulse oximetry system includes a wrist portion configured for placement on a wrist of a subject, the wrist portion having a first component and a second component configured to removably secure to one another. The wrist portion can include emitter(s) and detector(s) operably positioned by the wrist portion. In some implementations, the pulse oximetry system further includes a ring member configured to secure around the subject's finger and operably position emitter(s) and detector(s) and a cable connected to the wrist portion in electrical communication with the emitter(s) and the detector(s) of the ring member and configured to transmit the signal(s) from the detector(s) to the wrist portion. The system includes a battery and hardware processor(s) configured to receive and process signal(s) outputted by the detector(s) to determine physiological parameter(s) of the subject.

The invention relates to the technical field of intelligent operation and maintenance of power equipment, in particular to a cable system full life cycle health management method based on digital twinning, which comprises the following steps: step 1, constructing a cable digital twinning body fusing electric-thermal-mechanical-chemical multi-physical fields; 2, dynamically fusing multi-source monitoring data, and collecting a cable skin continuous temperature sequence, a partial discharge pulse waveform and soil environment parameters; 3, solving a coupling equation of conductivity-thermal conductivity-stress tensor-ion diffusivity through iteration to realize multi-physical field linkage simulation; 4, generating a self-adaptive maintenance decision, inputting the insulation aging factor into an LSTM predictor to output a residual life prediction value, and generating a maintenance work order when the residual life is lower than a threshold value; and 5, carrying out closed-loop correction on the model, and updating the insulation aging factor calculation model and the physical attributes of the three-dimensional grid according to actual maintenance data. The method improves the safety, reliability and operation and maintenance efficiency of the cable system, and has important industrial application prospects.

The invention belongs to the technical field of power system monitoring, and particularly relates to a wireless cable temperature measurement system and method, and the system comprises an operation information collection module, a layout planning analysis module, a data standardization module, a change trend analysis module, an early warning threshold adjustment module, and a fault positioning analysis module. According to the invention, cable operation data and environment information are analyzed, the coverage range, data transmission delay and signal attenuation are considered, the layout of temperature sensors is optimized, the response speed and data accuracy of a temperature sensor network are enhanced, temperature data are formatted and processed, time sequence analysis is carried out, and the temperature change trend is evaluated. Abnormal temperature risk recognition is achieved in the early stage, the accuracy of fault prediction is improved, the cable temperature risk monitoring threshold value is adjusted in combination with cable specifications and meteorological information, the timeliness and effectiveness of risk management are improved, the fault response speed and the system stability are improved, the maintenance cost is reduced, and the reliability and safety of a power grid are improved.

A handheld fan includes a housing, a fan module, a power module, and a retractable cable module. The fan module is disposed in the housing, the power module is disposed in the housing and configured to supply power to the fan module, the retractable cable module is disposed in the housing and includes a cable retractable relative to the housing to be withdrawn into the housing or extended out of the housing, and the cable is configured to connect to an external electronic device, and supply power to the external electronic device through the power module. When a user carries the handheld fan and has a charging need, the cable is capable of being pulled out of the housing of the handheld fan, and connected to the external electronic device including a mobile phone. The power module is configured to supply power to the external electronic device.

Disclosed is a foldable wireless charger, including a cable, a base, a support rod and a charger body connected in sequence, the support rod is rotationally connected to the base and the charger body, respectively, a cable outlet is arranged on the base, a cable runway is arranged inside the support rod, a cable inlet is arranged on the charger body, one end of the cable is located in the base, and the other end of the cable is extended into the charger body through the cable outlet, the cable runway and the cable inlet in sequence. The foldable wireless charger can hide the cable configured to supply power to the wireless charging transmission module in the charger body, which effectively reduces the risk of damage to the cable, helps in prolonging the service life of the foldable wireless charger, and improves the user experience.

The invention relates to the technical field of power system monitoring, and discloses a wire and cable fault early warning system based on intelligent monitoring, which comprises a data sensing module, a multi-mode fusion module, a characteristic evolution module, an abnormal early warning module and a dynamic optimization module. The data sensing module collects multi-source heterogeneous data, the multi-modal fusion module processes the data to generate a spatial-temporal feature matrix, the feature evolution module extracts cable degradation features, the abnormity early warning module performs fault early warning based on the cable degradation features, and the dynamic optimization module optimizes system parameters by using federal learning. In addition, the system also comprises a digital twin mapping and topology analysis module for assisting decision making and enhancing positioning. According to the invention, real-time monitoring, accurate fault early warning and system performance optimization of the operation state of the wire and cable are realized, the stability and reliability of power transmission are improved, and the system has the advantages of comprehensive multi-source data acquisition, efficient data processing, accurate early warning, data privacy protection and the like.

The invention discloses an intelligent cable digital comprehensive monitoring system, and relates to the technical field of electric power engineering, the intelligent cable digital comprehensive monitoring system comprises a digital monitoring center, the digital monitoring center is in communication connection with the following modules: a holographic sensing monitoring module used for deploying an intelligent sensing system and collecting monitoring data including cable operation parameters and environmental data, and the collected data is preprocessed. According to the invention, real-time and comprehensive monitoring of the cable body and the surrounding environment is realized through the holographic sensing monitoring module and the digital twinning technology, the virtual model of the cable is dynamically updated, and the physical state change of the cable is reflected in real time, so that operation and maintenance personnel can find potential problems in cable operation in time, and the working efficiency is improved. And the service life trend and the fault risk of the cable are predicted in advance through the simulation prediction module, and differential maintenance strategies are formulated, so that the possibility of sudden faults of the cable is effectively reduced, the operation reliability of the cable is remarkably improved, and stable operation of a power system is ensured.

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.

The invention belongs to the technical field of cable service life evaluation, and particularly discloses a cable defect multi-parameter aging characteristic and service life evaluation method and system, and the method comprises the steps: obtaining a plurality of first parameters which can affect the aging of a cable, and a second parameter which changes when each first parameter affects the aging characterization of the cable; constructing a calculation model containing a first incidence relation between each second parameter and the corresponding first parameter; constructing a prediction model for calculating the service life of the cable according to the calculation model, and configuring a correction factor for representing the degree of influence on the defect of the cable on each calculation model; determining the numerical value of each correction factor by adopting an optimization algorithm, and updating the correction factors according to the numerical values to optimize the prediction model; calculating the service life of the cable through the optimized prediction model; the method has the advantages that cable aging is comprehensively analyzed, modeling is clear, influence factor relations are defined, an algorithm is optimized to adjust correction factors, and prediction accuracy is improved.

The invention discloses an intelligent cable fault diagnosis and positioning method and system, and relates to the technical field of intelligent operation and maintenance of a power system. The method is used for accurately identifying and positioning high-resistance faults and external damage. According to the method, electric field, current, temperature and vibration signals are synchronously collected, a multi-source fusion enhanced signal flow is constructed, and multi-physical field features are extracted; based on a coupling mechanism of an electromagnetic-thermal field and a mechanical-electric field, generating a fault type label and a space coordinate; executing targeted impedance correction for different fault types, establishing a dynamic topology network, and inputting a time-space diagram neural network to output a preliminary positioning result; and multi-source verification is carried out by further fusing salinity dielectric, a harmonic thermal field, a vibration electric field and stress topological information, a high-confidence-coefficient fault positioning result is finally output, a closed-loop diagnosis mechanism is formed, and the fault recognition accuracy and the system adaptability under complex working conditions are improved.

The invention relates to the technical field of cable fault monitoring, in particular to an intelligent cable fault monitoring and early warning method and system, and the method comprises the steps: detecting a sheath circulation phase angle, adjusting the frequency through offset threshold exceeding, extracting de-noising data, injecting pulses, measuring the time delay, correcting the temperature, inverting a carbonization path, matching a conductivity abrupt change generation map, and measuring the attenuation rate to update the carbonization depth. And calculating a correlation factor to trigger early warning. According to the invention, through dynamic detection of circulation phase angle offset, frequency modulation anti-interference data extraction, noise suppression, signal-to-noise ratio improvement, combination of temperature gradient and dielectric correction delay, compensation of signal temperature influence, accurate inversion of a carbonization starting point, and joint analysis of multi-band signal attenuation rate and propagation time, complex working conditions are adapted; a coupling model is established through dynamic comparison of correlation factors and threshold values, layered early warning is performed, phase correction, temperature compensation and multi-band collaborative analysis are fused, and the positioning precision and the evaluation reliability are improved.

The invention discloses an intelligent cable fault accurate positioning and early warning method and system, and the method comprises the steps: collecting the temperature gradient, strain distribution and partial discharge signals of the whole length of a cable in real time through a distributed optical fiber sensing network, and generating a multi-dimensional feature matrix of the operation state of the cable; based on the multi-dimensional feature matrix, outputting a preliminary fault positioning coordinate; generating corrected fault coordinates according to the topological structure data of the cable laying environment and the electromagnetic interference distribution diagram; historical fault data, real-time operation parameters and the corrected fault coordinates are fused, and a fault risk thermodynamic diagram in a future preset duration is output; and based on the fault risk thermodynamic diagram and real-time monitoring data, generating fault first-aid repair information by using a dynamic priority algorithm, synchronously triggering an early warning signal, and visually displaying a fault positioning result and a risk area in a three-dimensional geographic information system. According to the embodiment of the invention, rapid positioning, accurate early warning and intelligent disposal of the cable fault can be realized.

The invention discloses a cable insulation life prediction method and system based on LSTM accelerated aging mapping, and relates to the technical field of submarine cable insulation life prediction. The existing method has the defects of insufficient multi-stress nonlinear modeling, laboratory and field data separation, difficulty in small sample modeling and the like, and the insulation life of the submarine cable is difficult to accurately predict. The method comprises the following steps: data acquisition: acquiring parameters of insulation electrical performance, physical and chemical performance and mechanical performance under an accelerated aging condition; carrying out data preprocessing: carrying out homodromous processing on the inverse indexes, improving box plot denoising, filling missing data with a space-time K nearest neighbor algorithm, and carrying out normalization; constructing an LSTM model: embedding a dielectric constant differential equation as a physical constraint, and introducing an index weight; and model training and evaluation: adopting five-fold cross validation, and quantizing prediction precision through mean square errors and decision coefficients. According to the technical scheme, the prediction precision is improved, the fault risk caused by insulation aging is reduced, the maintenance cost is reduced, and the reliability of the ocean energy transmission system is improved.

The invention discloses a distribution network cable dielectric loss withstand voltage partial discharge intelligent detection and evaluation method and system, and relates to the technical field of power equipment state monitoring, and the method comprises the steps: synchronously collecting a dielectric loss spectrum, a withstand voltage leakage current curve and a partial discharge spectrum of a distribution network cable through a phase resolution measurement device; processing the partial discharge spectrum by using a frequency domain adaptive filter to generate a denoised partial discharge characteristic spectrum; constructing a cable multi-dimensional parameter normal domain hyperspherical model, and calculating a deviation distance value; and inputting the deviation distance value into a fuzzy inference engine, performing nonlinear conversion according to a preset fuzzy rule base, generating an insulation state evaluation index and a fault risk probability distribution diagram of the distribution network cable, and realizing accurate evaluation of the cable insulation state. According to the invention, the accurate evaluation of the cable insulation state and the accurate positioning of the fault position are realized, and the operation reliability and maintenance efficiency of the power distribution network are improved.

The invention discloses a cable joint health state assessment method and system based on multi-dimensional data fusion, and relates to the technical field of cable state assessment, and the method comprises the steps: collecting cable joint operation parameters, unifying a time sequence, and forming a two-dimensional matrix; performing spectral analysis on the operation parameters, and calculating energy characteristics of each sub-band by applying multi-stage wavelet decomposition; and constructing a Bayesian network structure, and calculating probability distribution according to the energy characteristics of the sub-bands. According to the method, spectral analysis is carried out through Fourier transform, the effect of identifying main frequency components and noise characteristics in signals is achieved, the effect of extracting energy characteristics of the signals in different frequency ranges is achieved by decomposing a two-dimensional matrix into a plurality of sub-bands by applying multi-stage wavelet decomposition, and the method has the advantages of being simple in structure and convenient to operate. By constructing a Bayesian network structure and defining feature nodes and state nodes, the health state evaluation of the cable can be dynamically updated according to data collected in real time.

The invention discloses an intelligent construction site management method and system based on photoelectricity and a video fence, the system is realized based on the intelligent construction site management system, the system comprises a control module and an information acquisition device connected with the control module, and the information acquisition device comprises a camera device, a cable monitoring device, an environment state parameter sensor and a construction equipment intelligent switch; and the cable monitoring devices are arranged along the extending direction of the cable at intervals of preset lengths. The method comprises the following steps: regularly acquiring and preprocessing real-time data of a construction site; analyzing the video data to identify a dynamic area; cable abnormity and equipment state are evaluated; generating a motion intensity graph and a key frame candidate set; tracking a target, generating a track, and determining a responsibility subject. According to the method, comprehensive monitoring and anomaly detection of the construction site are realized through multi-source data fusion and intelligent analysis, and the management efficiency and safety are improved.

The invention relates to the technical field of cable insulation layer detection, in particular to a cable insulation layer detection device and method. Comprising a visual detection mechanism, a collision detection mechanism, a marking mechanism and a transmission mechanism, the visual detection mechanism comprises a first support frame, three detection cameras, an annular light source, three first mounting plates, a light shield and a light shielding cylinder, and the first mounting plates and the detection cameras are annularly distributed around the axis of a cable insulation layer; the abutting detection mechanism comprises a second supporting frame, a rotating disc, an abutting detection assembly and a position adjusting assembly. The marking mechanism comprises a coating pipeline, a brush and a switching assembly. The device is suitable for detection of cable insulation layers of different diameter models, through cooperation of visual detection with the shading device and the annular light source, images of the cable insulation layers are captured in multiple directions, and various appearance defects are efficiently detected; the collision detection can be accurately adjusted according to the diameter of the cable, the visual detection is assisted to improve the detection comprehensiveness and accuracy, and the defect position can be marked.

The invention relates to the technical field of cable production automation control, and provides a crosslinked cable production control method based on an improved PID (Proportion Integration Differentiation) control algorithm, which comprises the step of constructing an optimal reference model by establishing a cooperative control framework of temperature, pressure and traction speed and taking the temperature of a vulcanization pipe as a main control variable and the pressure and the traction speed of an extruder as slave control variables. A main controller tracks a temperature set value in real time, PID parameters are dynamically set according to technological parameters such as the thickness deviation of an insulating layer and the crosslinking degree of a material, and precise control is achieved through a three-ring cooperative coupling improved PID controller. A temperature control ring enables the steady-state error of the actual temperature and the set value to be converged to zero. The pressure and speed control loop converges the fluctuation amplitude to a process allowable range. The temperature stability, the pressure uniformity and the traction synchronism of crosslinked cable production can be improved, the process fluctuation and the defect rate are reduced, and the product quality and the production efficiency are improved.

A game controller for a mobile device, the game controller including a first handle, a second handle, a bridge, and a flat, flexible cable. The first handle is configured to contact and support a mobile device. The first handle includes a user-accessible, first hardware interface on a main body portion of the first handle that is configured to accept touch inputs. The second handle is configured to contact and support the mobile device. The second handle includes a user-accessible, second hardware interface on a main body portion of the second handle that is configured to accept touch inputs. The bridge couples the first handle to the second handle. The bridge is in sliding engagement with the first handle and the second handle. The flat, flexible cable is configured to conduct an electrical signal between the first handle and the second handle.

The invention discloses a cable fault monitoring method and device based on multivariate time series data fusion, and relates to the technical field of cable multi-parameter fault monitoring, and the method comprises the steps: obtaining key time series characteristics representing the health state of a cable; dividing health state grades of the cable according to the electrical parameters and the environmental parameters, performing model training by taking the key time sequence characteristics and the health state grades as input parameters based on a multivariate neural network algorithm, and constructing a health assessment model; predicting the real-time electrical parameters and the environment time sequence parameters of the to-be-tested cable based on the health assessment model, and outputting a health state grade result of the to-be-tested cable; responding to the health state grade result and sending out a corresponding fault monitoring alarm instruction; the problem that the fault judgment condition is unreliable due to the fact that the time sequence dynamic characteristics of monitoring data are not considered in a monitoring method is solved, and the reliability, accuracy and detection efficiency of cable fault monitoring are remarkably improved.

The invention provides a multi-stage cooling treatment device for cable sheath extrusion molding and a working method, and belongs to the technical field of cable sheath machining, the multi-stage cooling treatment device comprises a treatment box, a partition plate is arranged in the treatment box, a wiping mechanism is arranged in the right side of the treatment box, and the wiping mechanism comprises a first fixing plate and a second fixing plate; through arrangement of a driving mechanism and a wiping mechanism, after the water removal sponge wipes water stains on the outer surface of the cable sheath for a period of time, the driving mechanism works, so that the left and right groups of mounting plates and the water removal sponge vertically move for one time, and then the positions of the left and right groups of mounting plates and the water removal sponge are exchanged; the water removing sponge absorbing a large amount of water moves downwards to make contact with the water squeezing plate to conduct water squeezing work, the dry water removing sponge moves to make contact with the outer surface of the cable sheath to continue to conduct water removing work, the water removing effect is always in an efficient state, and it is avoided that residual water stains on the surface of the cable sheath affect the quality of the cable sheath.

The invention provides a low-voltage cable, and relates to the technical field of cables, the low-voltage cable comprises a conductor layer, a support layer, a shielding layer and a sheath layer, the conductor layer is composed of multiple strands of fractal stranded conductors, and each fractal stranded conductor comprises an inner-layer superfine silver-plated copper wire, a middle-layer copper-clad aluminum wire and an outer-layer nickel-plated copper alloy wire; the supporting layer wraps the conductor layer and comprises an inner supporting layer, a dynamic framework layer and an outer restraint layer, the inner supporting layer is an obliquely wound aramid fiber woven belt, the dynamic framework layer is formed by alternately arranging shape memory polymers and carbon fiber composite belts, and the outer restraint layer is a spirally wound silica gel-glass fiber composite rope. The shielding layer comprises a tinned copper wire woven mesh; the sheath layer is a thermoplastic polyurethane matrix, a microcapsule self-repairing agent is dispersed in the thermoplastic polyurethane matrix, a microcapsule comprises a siloxane prepolymer, and the thermoplastic polyurethane matrix further comprises graphene nanosheets. Through collaborative design of the fractal stranded conductor layer, the dynamic skeleton support layer, the shielding layer and the self-repairing sheath, comprehensive improvement of cable performance is realized.

A vehicle includes a chassis including a frame rail extending longitudinally, a tractive element coupled to the chassis, a cab coupled to the chassis and configured to support an operator, an electric motor configured to drive the tractive element to propel the vehicle, a battery configured to supply electrical energy to the electric motor, a heat exchanger, a cable electrically coupling the electric motor and the battery, and a conduit fluidly coupling the battery and the heat exchanger. The cable and the conduit extend laterally from the battery to the frame rail, and the cable and the conduit extend longitudinally along the frame rail.

The invention relates to the technical field of cable production automation control, and discloses a control method, system and device of cable extrusion equipment and the extrusion equipment, the method comprises the steps that sensor parameters are acquired, and the sensor parameters comprise the cable extrusion temperature and the extrusion speed; performing time delay correction on the sensor parameter to obtain a corrected parameter value; inputting the correction parameter value into a pre-trained extrusion speed and extrusion temperature dynamic compensation model to generate an adjustment instruction; and sending the adjustment instruction to equipment to adjust the heating temperature and the extrusion speed of the cable. Compared with the prior art, the method has the following effects that the heating temperature and the extrusion speed of the cable can be accurately adjusted in real time through combined use of time delay correction and an extrusion speed and extrusion temperature dynamic compensation model, and the waiting time and the adjustment time in the production process are reduced, so that the control precision and the production efficiency of cable extrusion equipment are improved.