544 results about "Transmission tower" patented technology

The invention discloses a transmission tower vulnerability analysis method and system based on seismic simulation, and belongs to the technical field of electric power facility disaster prevention, and the method comprises the steps: correcting bedrock seismic oscillation parameters based on equivalent shear wave velocity, and generating a high-precision earth surface PGA distribution diagram; automatically positioning a key node layer through eigenvalue decomposition, reducing the order of the three-dimensional model of the power transmission tower into a two-dimensional series multi-degree-of-freedom model, and outputting a layer mass vector, a condensation stiffness matrix and rod piece bending stiffness; performing time-history analysis by using the corrected PGA-driven reduced-order model to generate an earthquake damage probability; the multi-source remote sensing data and the PGA are fused, the landslide space probability is output through a deep learning model, and the impact strength and the landslide kinetic energy are calculated to judge the landslide damage probability; and based on the dual-threshold condition triggering probability union set, calculating a comprehensive damage probability, and generating a three-dimensional vulnerable curved surface. According to the method, the problems of high missing report rate and low calculation efficiency of single disaster assessment are solved, and minute-level accurate early warning of the composite disaster risk of the power transmission tower is realized.

The invention relates to the technical field of power transmission line safety monitoring, and particularly discloses a self-adaptive calibration method for an ultrasonic wind speed sensor, which comprises the following steps of: arranging an orthogonal ultrasonic probe array at the top of a tower, and compensating probe offset caused by swinging of a tower body in real time through GNSS / IMU (Global Navigation Satellite System / Inertial Measurement Unit) fusion positioning; integrating a temperature, humidity and pressure sensor and vibration spectrum analysis to construct an environmental parameter compensation model; double-frequency ultrasonic waves are adopted to detect the ice accumulation thickness of the protective cover and correct the sound path distance; deploying a lightweight LSTM model at an edge computing unit to realize minute-level dynamic parameter adjustment; electromagnetic interference is suppressed by combining linear frequency modulation spread spectrum and beam forming technologies; and establishing a three-height-layer wind speed gradient model to generate a galloping early warning. The problem of measurement distortion caused by tower deformation, icing and parameter solidification of a traditional sensor is solved, all-working-condition operation from-40 DEG C to 60 DEG C is supported, and the monitoring reliability in a strong electromagnetic environment is remarkably improved.

The invention relates to the technical field of line crane warning, in particular to an overhead line trend intelligent crane sentry warning method and system based on Beidou positioning. The method comprises the steps that base station data information including power transmission tower pole and line trend data is acquired based on Beidou positioning, and construction crane position information is monitored in real time; respectively constructing a power transmission line corridor model and a warning tape model based on the acquired data; carrying out model integration and optimization on the constructed power transmission line corridor model and the warning tape model; generating early warning information based on the integrated and optimized model; and carrying out sentry alarm on the construction crane based on the generated early warning information. Real-time monitoring of numerous power transmission tower and power transmission line corridor areas, including power grid power transmission line channel display, crane equipment map point location display, crane early warning track display and the like, can be realized.

The invention discloses a risk category assessment method and device for a power transmission tower, terminal equipment and a storage medium, and relates to the technical field of tower assessment, and the method comprises the steps: obtaining real-time data of a target power transmission tower, the real-time data comprising time sequence data and image data; inputting the real-time data into a hybrid model composed of an attention mechanism and a residual network, extracting a time sequence feature vector of the time sequence data through the attention mechanism, and extracting an image feature vector in the image data through the residual network; and fusing the time sequence feature vector and the image feature vector, inputting the fused time sequence feature vector and image feature vector into a classifier, outputting the probability of each risk category, and selecting the category with the highest probability as a risk category label. According to the method, the time sequence feature vector in the time sequence data and the image feature vector in the image data are extracted, and the two different feature vectors are combined for evaluation, so that the accuracy of risk category evaluation of the power transmission tower can be effectively improved.

The invention discloses a power transmission tower structure safety evaluation method based on computer vision, and relates to the field of power transmission tower structure safety evaluation, and the method comprises the following steps: obtaining a structure static curvature parameter; the dynamic curvature modal area difference square ratio of the rod piece structure is calculated; combining the structure static curvature parameter and the dynamic curvature modal area difference ratio corresponding to each basic evaluation unit into a dynamic and static fusion feature data set; calculating the structure damage posterior probability of each basic evaluation unit through Bayesian reasoning; and according to the structure damage posterior probability distribution results of all the basic evaluation units, carrying out comprehensive safety grade evaluation on the power transmission tower structure. The non-contact monitoring method based on computer vision is adopted, the deformation and displacement information of the nodes is obtained through the image processing technology, the equipment arrangement and maintenance work is greatly simplified, and the overall monitoring cost is reduced.

The invention discloses a power transmission tower corrosion damage assessment operation and maintenance method and system combining digital twinning and AI, and relates to the technical field of power transmission and transformation project operation and maintenance safety assessment. Based on a parameterized digital twinning base model, a mechanical response and an environmental corrosion rate are obtained by combining environmental parameters, and then a training data set is constructed; training a multi-task machine learning model based on the training data set to obtain a trained multi-task machine learning model; performing feature extraction on the image data to obtain visual features, performing feature extraction on the point cloud data to obtain geometric features, and fusing the visual features and the geometric features by adopting a double-flow feature fusion network based on an attention mechanism to obtain fused features; and inputting the fusion features into a multi-task machine learning model for prediction to obtain a predicted mechanical response and an environment corrosion rate, and then evaluating the corrosion state and predicting the service life so as to realize rapid, accurate and intelligent evaluation and operation and maintenance decision support of the corrosion state of the power transmission tower.

A power transmission tower grounding resistance intelligent measurement method based on ground potential field distributed sensing comprises the steps that a ground potential sensing network is arranged around a power transmission tower grounding device, and a ground potential field distributed measurement system with an iron tower as the center is established; a broadband characteristic coding current signal is injected into the grounding system through a weak current injection module; acquiring potential response data of each node of the ground potential sensing network excited by the feature coding current signal by adopting a distributed synchronous acquisition technology, and reconstructing complete ground potential field spatial distribution from sparse node observation data based on a compressed sensing theory through a signal reconstruction algorithm; and inputting the reconstructed complete ground potential field spatial distribution map into a pre-trained map neural network model, and outputting an intelligent identification result and an anomaly diagnosis conclusion of the ground resistance. According to the invention, non-contact, distributed and high-precision grounding resistance measurement under the condition that a grounding lead does not need to be disconnected is realized, and the measurement precision and reliability under a complex working condition are remarkably improved.

The invention discloses a power transmission tower attitude monitoring and vibration intrusion identification method based on multi-source data fusion, and the method comprises the steps: carrying out the deep fusion of GPS displacement data and accelerometer inclination angle data, employing a dynamic weight fusion mechanism: adjusting a fusion coefficient alpha in real time according to the GPS signal quality, guaranteeing the accuracy and stability of data fusion, and at the same time, carrying out the real-time adjustment of the fusion coefficient alpha, and carrying out the recognition of the vibration intrusion of a power transmission tower. And continuously optimizing the error propagation model by taking the final inclination angle theta final of the power transmission tower as a state variable, updating the attitude estimation of the power transmission tower, and realizing + / -0.01-degree high-precision attitude monitoring. According to the invention, the system can output a high-precision three-dimensional attitude angle in real time by combining the rapid dynamic response of the accelerometer and the long-term stability of the GPS. Besides, an LCD-MPE (feature extraction technology) is introduced, lightweight neural network classification is combined, vibration signal sampling, noise reduction and abnormal signal segment identification, analysis and extraction are carried out on the transmission tower through an MEMS accelerometer, and second-level detection and behavior type discrimination of invasion behaviors around the transmission tower are realized. The core technical barrier from'inability perception 'to'accurate identification' is overcome, and subversive upgrading of power facility safety protection from'passive disposal 'to'active defense' is promoted.

The invention belongs to the technical field of cable mounting tools, and particularly relates to an anti-falling aerial cable clamping and mounting structure which comprises a bottom clamp and a top clamp, and the top clamp is arranged above the bottom clamp. And a tension spring is arranged between the top clamp and the bottom clamp, so that the top clamp downwards clamps the cable under the action of the tension spring. Arc-shaped clamping grooves are formed in the opposite faces of the bottom clamp and the top clamp, and mounting planes are arranged at the left ends and the right ends of the opposite faces of the bottom clamp and the top clamp. The bottom clamp comprises a bearing clamp on the upper portion and a fixing base on the lower portion, the bearing clamp is connected to the upper portion of the fixing base in a sleeved mode, and the bearing clamp can move up and down on the fixing base in a limited mode. Through the integrated design of elastic pre-tightening, double limiting and buffering energy absorption, stable clamping, dynamic adaptation and damage protection of the cable are achieved, and the cable clamp is suitable for various installation scenes such as a power transmission tower and a telegraph pole cross arm and can tolerate cable installation in severe environments such as high and low temperature, strong wind and salt mist.

The invention discloses a transmission tower foundation extrusion monitoring method and a soil pressure monitoring pile, and the method comprises the steps: setting a maximum displacement allowable value of a tower foundation pile, carrying out the initial layout of the positions of a soil displacement detection pile and a soil pressure detection pile according to the stacking non-uniformity, and calculating a pressure attenuation coefficient and a displacement attenuation coefficient; performing layout optimization according to the pressure attenuation coefficient and the displacement attenuation coefficient, calculating an absolute value index, a change rate index, a correlation index and a direction difference index of soil pressure and displacement, and setting grading early warning judgment conditions of each index by combining a pole tower foundation pile maximum displacement allowable value and a pile side maximum soil pressure allowable value; according to the invention, the early warning response time for local and sudden loading is shortened, and the false alarm rate is reduced.

The utility model discloses a special welding fixture for angle steel tower feet of a power transmission tower, and relates to the technical field of special welding fixtures for angle steel tower feet, the special welding fixture comprises an operation table, the top of the operation table is provided with a first positioning assembly, the first positioning assembly comprises two first positioning plates, and the two first positioning plates are arranged on the operation table. The first positioning plate is fixedly connected to the operation table, a second positioning assembly used for welding two steel plates is arranged on the operation table, a third positioning assembly used for welding three steel plates is arranged on the operation table, and a fourth positioning assembly used for welding four steel plates is arranged on the operation table. According to the special welding clamp for the angle steel tower foot of the power transmission tower, by arranging the first positioning assembly, the second positioning assembly, the third positioning assembly and other structures, different numbers of steel plates can be conveniently positioned, operation is easy and convenient, and the applicability of the special welding clamp for the angle steel tower foot of the power transmission tower is improved.

The application discloses a kind of post-earthquake resilience evaluation methods of multi-scale power system, comprising the following steps: collecting the network topology structure information of power system and substation, collecting the damage probability information of key equipment in substation and transmission tower on transmission line;Establish a linear power flow model of urban power grid, establish post-earthquake function and resilience evaluation index of power system and post-earthquake function evaluation index of substation;Through simulation, obtain the damage of substation equipment, line damage condition under each seismic scenario;Based on the damage condition, evaluate the post-earthquake function evaluation index of substation and the function of transmission line;Establish the system power flow calculation model of post-earthquake power system, calculate the post-earthquake function of power system;Output the post-earthquake function distribution and resilience evaluation result of power system.The application can consider the influence of earthquake on the damage of infrastructure in power system, such as substation and transmission tower, on the system function of power system, to help managers to comprehensively evaluate the anti-seismic resilience of power system.

The invention relates to a self-energized acceleration sensor system based on a wind-induced vibration pick, and the system comprises a wind-induced vibration energy collection module which is used for collecting wind energy, converting the wind energy into vibration energy, and transmitting the vibration energy to an energy conversion and storage module; the energy conversion and storage module is used for realizing energy conversion and storage through piezoelectric-electromagnetic-triboelectric hybrid conversion and self-adaptive impedance matching based on vibration energy; the multi-parameter sensing module is used for monitoring acceleration, wind speed and tower body deformation based on the electric energy provided by the energy conversion and storage module; and the control management module is used for managing the wind-induced vibration energy acquisition module and the energy conversion and storage module according to monitoring data of the multi-parameter sensing module. The system can make full use of low-medium speed wind power resources in the northeast region, solves the power supply problem of a traditional sensor, improves the monitoring precision and environmental adaptability, and is suitable for long-term monitoring of complex environments such as power transmission towers.

The invention relates to the technical field of iron tower detection, in particular to a method for detecting hidden defects of an iron tower based on vibration acceleration, and the method comprises the steps: building a finite element simulation model of a power transmission tower, carrying out the comparative analysis of modal and vibration response before and after damage, and determining a preliminary point distribution position; performing iron tower damage and health state vibration detection experiments on the experimental power transmission tower, setting damage points, arranging vibration acceleration sensors according to initial point distribution positions, applying unit load, drawing a frequency response curve according to data acquired by the sensors, and analyzing the frequency response curve; and if the analysis result does not meet the requirement on the accuracy of identifying the hidden defect of the power transmission tower, adjusting the point distribution position to obtain a final point distribution position. According to the method, efficient and accurate recognition of the hidden defects of the iron tower is achieved, remote monitoring can be conducted, safety, economical efficiency and operability are achieved, the use cost is lower, reliable technical support is provided for intelligent monitoring of electric power facilities, and the obvious engineering application value is achieved.

The utility model discloses a high-voltage power transmission tower data monitoring device based on Lora communication, and relates to the technical field of high-voltage power transmission tower data monitoring. According to the utility model, the problems of insufficient signal coverage, high power consumption, high maintenance cost and low remote monitoring precision in the existing power transmission tower monitoring are solved. Through a low-power-consumption and long-distance LoRa communication technology and in combination with a plurality of sensor modules, real-time monitoring and fault early warning of parameters such as current, voltage, temperature and inclination angle of a power transmission tower are realized, the monitoring efficiency and safety of a power transmission line in remote or complex terrains are effectively improved, and the power transmission line fault early warning system is suitable for popularization and application. Stable communication and monitoring effects can be maintained in areas with complex terrains and severe environments, the anti-interference capability is strong, and the adaptability is high; and through the remote monitoring system, the frequency of manual inspection is reduced, the inspection cost and risk are reduced, and the operation and maintenance efficiency is improved.

The invention relates to the technical field of power systems, and discloses a transmission tower earthquake landslide risk assessment method and related equipment, and the method comprises the steps: building a time-varying anti-disaster capability model based on an aging factor in a structure aging feature and an initial anti-disaster capability model; according to the ground vibration parameters, the landslide displacement field and the time-varying anti-disaster capability model, a structural damage index is generated; adjusting the time-varying anti-disaster capability model according to the structural damage indication and the historical earthquake damage record; outputting a dynamic risk level map based on the adjusted model and the risk assessment model; and when a risk assessment request of a target transmission tower is received, performing earthquake landslide risk assessment based on the dynamic risk grade map. The problem that an existing earthquake landslide risk assessment scheme of the power transmission tower is poor in accuracy is solved.

The invention discloses an automatic rib plate welding machine for a pipe section flange of an extra-high voltage steel pipe power transmission tower, which comprises a strip-shaped base, a conical connector A used for being connected with the inner wall of the end of a pipe section, a rib plate feeding device, a welding device and a conical connector B used for being connected with the inner wall of the end of the pipe section are sequentially arranged on the strip-shaped base in the direction from one end to the other end, and the conical connector A and the conical connector B are coaxially arranged. The rib plate feeding device, the welding device and a bearing seat of the conical connector B are adjustably and fixedly connected to the strip-shaped base along strip-shaped rails arranged in the extending direction of the strip-shaped base. According to the structure, the automatic rib plate welding machine for the pipe section flange of the extra-high-voltage steel pipe power transmission tower can achieve automatic continuous welding production of rib plates at the flange connecting position of the end of a pipe section, and the welding efficiency and the welding effect of the rib plates at the flange connecting position of the end of a pipe section component are improved.

The invention discloses a random fluctuating wind field simulation method for power transmission tower structure dynamic response analysis. The method comprises the following steps: S1, determining a wave number-frequency spectrum model of a fluctuating wind field of the power transmission tower according to wind field parameters of a place where the power transmission tower is located; s2, based on the eta point set and a wave number-frequency spectrum power function, non-uniform discretization is carried out on a wave number-frequency domain, and wave number-frequency discrete points are obtained; and S3, simulating the fluctuating wind field in the one-dimensional vertical space of the power transmission tower by adopting a spectral expression method. According to the method, the characteristic of height uniformity of the eta point set is utilized, so that the precision of wind field simulation is ensured while fewer discrete wave number-frequency points are used, and the calculated amount of harmonic superposition is greatly reduced in the process of power transmission tower wind field spectrum expression simulation, so that the simulation efficiency of the wind field is improved.

The invention discloses a transmission tower inclination monitoring method and system based on image analysis, and belongs to the technical field of monitoring based on image processing, and the system specifically comprises a monitoring platform, an image collection unit, a feature information identification unit, an inclination risk determination unit, a risk grade division signal and an early warning unit. A tower object image is collected based on vision, multiple rigid feature points are calibrated on the collected image, a background reference system is established based on absolute static background anchoring, offset vectors of the multiple rigid feature points are monitored, errors caused by view angle offset influence are eliminated through a static absolute reference system, and cross validation is carried out in combination with multi-point same-direction offset. The accuracy of judging whether the power transmission tower has the inclination risk or not is improved, when it is judged that the power transmission tower has the inclination risk, the tower inclination angle is obtained through calculation according to the feature point offset vector, and all levels of risk signals are generated according to the inclination angle change trend for targeted efficient early warning.

The invention relates to the field of power transmission tower construction inclination monitoring methods, and discloses a power transmission tower construction inclination monitoring method based on a laser radar and multi-source fusion, and the method comprises the steps: collecting the point cloud flow data of a power transmission tower in real time through a three-dimensional laser radar, and synchronously collecting the global coordinate data of a Beidou RTK and the dynamic attitude data of an IMU; partitioning the point cloud data and resolving a local attitude of each partition by adopting a principal component analysis method; performing optimal fusion on the partition attitude information and the Beidou RTK and IMU data by adopting an extended Kalman filtering algorithm, and outputting an accurate attitude state vector; performing trend prediction on the attitude time sequence by using a long-short-term memory network model, and generating an early warning signal in advance when the prediction trend exceeds a safety threshold value; and finally carrying out visual display through a digital twin platform. According to the invention, the problems of low monitoring frequency, incapability of identifying local deformation and lack of predictive early warning in the prior art are solved, high-precision and partitioned real-time monitoring is realized, and the construction safety is remarkably improved.

The invention relates to the technical field of structure health monitoring, and discloses a power transmission tower structure health monitoring method based on Beidou fusion positioning and edge intelligence, and the method comprises the steps: obtaining position data outputted by a Beidou positioning module and inertial measurement data outputted by a multi-mode inertial measurement unit; performing multi-sensor data fusion processing on the position data and the inertial measurement data at the edge side to generate state vectors including the position, the speed and the attitude of the monitoring point of the power transmission tower; executing structure state intelligent analysis based on the state vector, calculating an inclination angle and a displacement amount, and performing evaluation by using an artificial intelligence model to obtain a structure health index; and when any parameter exceeds a preset alarm threshold value, executing event-driven data reporting. By completing data analysis and decision at the monitoring front end, high-precision dynamic sensing of the structure state of the power transmission tower is achieved, meanwhile, system power consumption is greatly reduced, and the real-time performance of safety early warning is improved.

The invention discloses an energy consumption damping device matched with a power transmission tower cross joint, and belongs to the technical field of power transmission tower damping. The energy consumption damping device comprises a mounting disc and at least two sets of assembling rod pieces arranged in the circumferential direction of the mounting disc; the rectangular steel pipe is arranged at the end of the outer connecting angle steel in a sleeving mode and fixedly connected with the outer connecting angle steel, and an inserting groove used for being connected with the rectangular steel pipe in an inserting mode is formed in the installation disc. The interior of the rectangular steel pipe, the position between the rectangular steel pipe and the inserting-connecting groove and the position between the rectangular steel pipe and the outer connecting angle steel are all filled with energy dissipation damping materials. The tension-compression synergistic energy consumption unit is constructed by adopting the energy consumption damping material, efficient energy dissipation is realized through three-dimensional hysteretic deformation of the material, and the damping performance and the damping efficiency of the crossed diagonal member node of the power transmission tower structure are greatly optimized; the problems that according to a traditional connecting mode adopted by an existing power transmission tower structure, the energy dissipation capacity is insufficient, and multidirectional deformation is difficult to coordinate are solved.

The invention discloses a resistivity model inversion method, device and equipment for grounding detection and a medium, and the method comprises the steps: obtaining three-component time domain data corresponding to a grounding grid, and carrying out the preprocessing of the three-component time domain data to obtain normalized observation data; constructing a first objective function containing a Tikhonov smooth item and a cross gradient item, and executing preliminary inversion through an L-BFGS algorithm according to the first objective function and the normalized observation data to obtain an initial three-dimensional resistivity model; carrying out logarithmic transformation on the model, selecting a k-means initial mass center based on a nearest neighbor density peak value algorithm, and carrying out clustering, abnormity elimination and median filtering on the model to obtain a smooth three-dimensional resistivity model; and generating a partition soft constraint based on a clustering partition result, combining the partition soft constraint with the first objective function to obtain a second objective function, and inverting the smooth three-dimensional resistivity model again to obtain a target three-dimensional resistivity model. The geometric structure, the electrical parameters and the health state of the power transmission tower grounding grid are efficiently and accurately detected, and the detection efficiency and accuracy are remarkably improved.

The invention discloses a meteorological risk analysis early warning system based on meteorological data, and relates to the technical field of meteorological perception early warning, the meteorological data and structure operation data of an area where a power transmission tower is located are collected, wind direction abrupt change feature recognition is carried out to obtain a wind direction abrupt change rate V theta, a sand and dust invasion change index Esant is constructed, and the wind direction abrupt change rate V theta is obtained; the method comprises the following steps: performing sand-dust invasion state evaluation on a sand-dust invasion judgment threshold Ethresh, performing sand-dust impact response analysis when the sand-dust invasion judgment threshold Ethresh is evaluated as a sand-dust impact period, constructing an instantaneous shear wind pressure stress sigma sh, further obtaining a foundation erosion response coefficient Rfd in combination with a sand-dust invasion change index Esant, and performing coupling modeling on the instantaneous shear wind pressure stress sigma sh and the foundation erosion response coefficient Rfd to obtain a foundation erosion response coefficient Rfd. And the structural fatigue rate PLfat is obtained to evaluate the structural safety state of the power transmission tower, so that the response sensitivity of the early warning system to high-frequency sand and dust disturbance is improved, and safe and stable operation of power transmission facilities under extreme weather conditions is ensured.

The invention relates to the technical field of power system operation and control, in particular to a power system recovery capability evaluation method, device and equipment considering unconventional risks and a medium, and the method comprises the steps: determining parameters for calculating the occurrence probability of earthquake disasters of different earthquake magnitudes; calculating intensity distribution by using an earthquake intensity diffusion model; calculating transmission tower and transmission line fault probabilities to obtain a fault line set; according to the operation power flow and the maximum allowable power flow, the cascading failure situation is divided into high risk and low risk; aiming at the two conditions, respectively enumerating a first-order fault state set and a second-order fault state set to obtain a system recovery capability initial value; the value serves as input, a convergence threshold value is set, a ULBI-IISE algorithm is adopted for iterative calculation, when the difference value of the upper cut set and the lower complementary set is smaller than the threshold value, the recovery capacity and the interval are output, and the method reduces high-order fault complete enumeration and the calculation amount while guaranteeing the precision, and is suitable for rapid evaluation of emergency scenes such as earthquakes.

The method comprises the steps that an equivalent one-dimensional linear magnetic circuit model of an eddy current damper is constructed, and the equivalent one-dimensional linear magnetic circuit model is formed by connecting air gap magnetic resistance, magnetic conductive tube magnetic resistance, permanent magnet magnetic resistance and magnetomotive force provided by a permanent magnet in series; constructing an eddy current damping force calculation model, wherein the eddy current damping force calculation model is a relation model between the air gap magnetic flux density and the eddy current damping force and a relation model between the damping coefficient and the eddy current damping force; continuously adjusting configuration values of geometric parameters and material attribute parameters of the permanent magnet, the air gap and the magnetic conductive tube, and calculating a corresponding damping coefficient until an optimal damping coefficient is obtained; and configuring the eddy current damper according to the optimal configuration value of the parameter corresponding to the optimal damping coefficient, and arranging the damper on the power transmission tower steel tube structural member to realize vibration reduction. The method has the advantages of being simple in implementation method, low in cost, convenient to apply, good in damping effect and the like.

The invention belongs to the technical field of power transmission tower structure damping, and discloses an inerter particle type power transmission tower damping device with a multidirectional control effect. The inerter is introduced into the particle damper, so that the total mass of the damping device is reduced, and the light weight of the device is achieved. And in consideration of the fact that the seismic response of the power transmission tower is multidirectional motion, the arrangement mode of the particles and the inerter is optimally designed, so that the damping effect of the device is further improved. The inerter can generate inertia force opposite to the structural vibration direction, and the dynamic damping effect of the particle damper is guaranteed while the number of particles is reduced. The inerter composed of the gear and the rack is small in dead weight, compact in structure and easy to install, a power transmission mechanism has low energy loss, the gear and the rack are in rigid meshing transmission, rapid rotation of the flywheel can be achieved, the inerter has high sensitivity to sensing of earthquake response of a power transmission tower, and the inerter is suitable for popularization and application. And large rotation inertia force can be generated in a limited space.

The invention discloses a transmission tower angle steel electromagnetic pulse fastening system, which belongs to the technical field of transmission tower angle steel fastening, and is characterized in that a track subsystem is rigidly connected with an operation table to realize movement and position adjustment in an operation environment; the charging control platform comprises a power supply device, a capacitor, an SCR power voltage regulator and voltage sensors, the power supply device is connected with the capacitor, and the voltage sensors are connected to the two ends of the capacitor; the charging control platform regulates and controls the charging process of the capacitor through the SCR power voltage regulator; the electromagnetic pulse generation subsystem is connected with the charging control platform, and the electromagnetic pulse generation subsystem is used for generating electromagnetic pulses to achieve fastening operation of angle steel of the power transmission tower; the monitoring feedback subsystem is used for monitoring the operation state of the transmission tower angle steel electromagnetic pulse fastening system in real time. The electromagnetic pulse technology is combined with the field of angle steel reinforcement, and the problems that existing electromagnetic pulse crimping equipment is inconvenient to move, depends on an external power supply, is inaccurate in charging control, and is difficult to monitor the running state in real time are solved.

The invention relates to the technical field of insulator detection, and discloses an unmanned aerial vehicle and insulator detection mechanism rapid butt joint and separation method, system, equipment and medium, and the method comprises the steps: building a comprehensive basic sensing system through collecting various sensor data, carrying out the optimization processing of multi-source data through employing a dynamic weight fusion algorithm, and carrying out the rapid butt joint and separation of the unmanned aerial vehicle and the insulator detection mechanism; high-precision recognition and pose calculation of an insulator support target are achieved by combining SIFT feature matching, ICP point cloud registration and infrared temperature contour information, then the distance between the unmanned aerial vehicle and the target support is calculated in real time based on a power transmission tower three-dimensional map and a three-level decision mechanism, and an action control instruction is output. The flight stability and the accurate docking capability of the unmanned aerial vehicle in the complex electromagnetic environment are ensured, and the reliability and the robustness of the system in the complex electromagnetic environment are improved by receiving a guide pipe contact signal and executing mechanical locking and releasing.

The invention discloses a power transmission tower remote sensing target detection method and device, equipment, a storage medium and a product, and relates to the technical field of power computer vision, and the method comprises the steps: obtaining a satellite remote sensing image, inputting the satellite remote sensing image into a power transmission tower detection model, and obtaining a target detection result, the power transmission tower detection model comprises a detection head, a pyramid structure, a bidirectional weighted feature fusion module and a coordinate attention module, and the bidirectional weighted feature fusion module is used for fusing high-level information and low-level information in the pyramid structure into multi-scale features. And the coordinate attention module is used for weighting the multi-scale features based on a multi-directional attention graph to obtain weighted multi-scale features. According to the method, the sensitivity of the small power transmission tower in the satellite remote sensing image is improved by fusing the high-level information and the low-level information, the important direction features are enhanced by re-weighting the multi-scale features, the spatial selectivity near the target is improved, and thus the detection precision of the power transmission tower is improved.