290 results about "Power tower" patented technology

The invention discloses a power transmission tower bird nest fault detection method based on YOLO, and belongs to the technical field of computer vision. The detection method comprises the following steps: data acquisition: enabling an unmanned aerial vehicle to photograph an image of a power tower and covers different angles; marking the collected data set, and randomly dividing the data set intoa training set, a verification set and a test set according to the ratio of 8: 2: 1; clustering the marked target boxes through a K-means algorithm to obtain improved anchor points; training the training set and the verification set through a YOLO neural network to obtain a final model of the YOLO neural network; and detecting the test set by using the YOLO neural network detection model obtainedin the step 4. Compared with a conventional YOLO classification network, the method is more outstanding in recognition efficiency and accuracy. The detection speed is high, and the application requirement of power line unmanned aerial vehicle normalized inspection can be met; the detection accuracy is high, the robustness is high, and the speed is high.

The invention discloses an installation construction method of an overhead power transmission line power tower, and relates to the technical field of power transmission. The installation constructionmethod of the overhead power transmission line power tower is completed by an installation construction device of the overhead power transmission line power tower. The installation construction deviceof the overhead power transmission line power tower comprises a walking trolley, a foundation pit and an abutting leg, wherein the foundation pit is a trough pit excavated in the ground, an opening of the foundation pit faces upwards, an inclination surface is arranged at an opening position of the top end of the foundation pit, the root of the power tower is arranged on the opening of the foundation pit, and the abutting leg is arranged at a position near to the opening position of the foundation pit. The foundation pit used for fixing the power tower is excavated in the ground, the openingof the foundation pit faces upwards, the root of the whole power tower is buried in the foundation pit, so that the power tower is vertically fixed at the ground, the situations that a plurality of connection points are generated when the power tower is buried in the ground and the power tower is broken due to stress concentration are prevented, and the installation firmness of the power tower isimproved.

The invention discloses a power tower point cloud automatic extraction method based on principal component analysis transformation, and belongs to the technical field of electric power equipment detection. The power tower point cloud automatic extraction method based on principal component analysis transformation includes the steps: firstly, separating tower top and power transmission line point cloud data through space segmentation and point cloud data gray processing; establishing an R tree and a KD tree to carry out hybrid index preprocessing on the point cloud data, then carrying out PCA conversion on the preprocessed point cloud data, and respectively extracting initial tower top point cloud data and initial tower body point cloud data through tower top average elevation threshold setting and a ground fitting extraction method; according to the difference of spatial distribution characteristics of the tower footing point cloud and the vegetation point cloud, extracting the initialtower footing point cloud through a principal component threshold extraction method and a DBSCAN clustering algorithm; and finally, recovering point cloud data deleted by mistake in the clustering process through expansion operation, and completing extraction of the initial tower footing point cloud data. According to the power tower point cloud automatic extraction method based on principal component analysis transformation, full-automatic extraction of tower point cloud is realized, and the tower point cloud extraction efficiency is improved, and the burden of operators is reduced, and thedata extraction precision is greatly improved in combination with multiple point cloud data extraction methods and data recovery methods.

The invention discloses an electric power tower pole intelligent monitoring device facilitating climbing. The intelligent monitoring device is characterized in that a monitoring box is slidably mounted on the surface of an electric power tower pole body, a lifting assembly is fixedly mounted on one side of the monitoring box, a fixing ring is arranged between the monitoring box and the electric power tower pole body, four groups of microswitches are annularly arranged in the monitoring box at equal intervals, a gravity ball is arranged at one sides of the microswitches, a rail is arranged in the monitoring box, the gravity ball is fixedly connected to the inside of the monitoring box through a first spring, the gravity ball is slidably mounted in the rail, the rigidity of the first springis smaller than the weight of the gravity ball, the lifting assembly comprises a chain wheel, the chain wheel is fixedly installed on one side of the surface of the electric power tower pole body, thesurface of the chain wheel is in transmission connection with a chain, and one end of the chain is fixedly installed on one side of the fixing ring, so that the monitoring device can be convenientlyinspected, repaired and maintained in use, meanwhile, pedals can be controlled through ascending and descending of the fixing ring, and the electric power tower pole can be further conveniently climbed.

The invention discloses an intelligent optimization method and system for multi-unmanned aerial vehicle cooperative inspection of multiple towers, and belongs to the field of unmanned aerial vehicle inspection. The method comprises the following steps: pre-establishing an information base of an inspection area; receiving an inspection task for a specified number of towers in the inspection area; acquiring capability information of the unmanned aerial vehicle in the unmanned aerial vehicle base; and determining a corresponding inspection scheme by adopting a preset algorithm according to the information base, the capability information of the unmanned aerial vehicle and the inspection task, and issuing a driving instruction according to the inspection scheme to drive the corresponding unmanned aerial vehicle in the unmanned aerial vehicle base to start to execute the inspection task. The system comprises an inspection management and control center module, an unmanned aerial vehicle management and control module and an intelligent planning module. According to the invention, real multi-unmanned aerial vehicle cooperation is realized, the inspection task of the power tower is completed in a more optimized manner, the cost is reduced, and the task efficiency is improved.

The invention discloses a power tower, comprising a rod body. A supporting plate is arranged on the upper part of the rod body, a connecting rod is arranged on the lower part of the supporting plate, a mixed wheel group is arranged on the connecting rod, the mixed wheel group is connected with a pulley provided with hanging rings up and down through a steel wire in a winding way, a carrying box is arranged at the hanging ring on the lower part of the pulley, a hook is arranged on one side of the carrying box, the hook is arranged on a hook groove formed in the rod body, a lockset is arranged on the hook, a photovoltaic panel arranged on a supporting rod is also arranged at the rod body, support frames are arranged on the upper part of the rod body, a center rod is arranged vertically on the support frames in a cross way, and an accumulator is arranged in the rod body. The power tower has the advantages that the power tower can bear the personnel and power components to climb to the upper part of the tower, so that the maintenance personnel can conveniently conduct installation and maintenance, and the power tower fulfills the function of fixing power lines, the stability of the power lines is improved, and the power tower also can repel birds and is very safety.

The present invention relates to a multi-gym machine which enables a user to perform a plurality of different exercises for the whole body. More specifically the present invention relates specifically to a power tower machine in which the user utilizes a combination of the user body weight (calisthenics) in addition to variable elastic bands to provide additional assistance or resistance.This advanced power tower hereby disclosed incorporates an arrangement of multiple handles, various pulleys, elastic cables and steel wire connected to a special waist belt to be put on by the user. The elastic cables depending on their anchor points either from the top or the bottom pulley, generates assistance or resistance to the user respectively for the specific workout. A set of sensors, processor and Bluetooth transmission unit is integrated on the power tower to process, transmit, process and manage several workouts performance indicators via a dedicated mobile application offering a virtual coaching capabilities.Also with internet connection, the mobile application offers an IoT (Internet of Things) concept enable virtual competition with other users using the same machine and mobile application.

The invention discloses a rotor unmanned aerial vehicle repositioning photographing method for electric power tower inspection. The method comprises the following steps: flying to an electric power tower easy-to-fail point by using a rotor unmanned aerial vehicle carrying a camera to locate and shoot a reference picture, and recording GPS (Global Positioning System) information of the point; controlling the rotor unmanned aerial vehicle to fly to the easy-to-fail point by using the GPS coordinates of the reference picture during tower inspection to obtain a current frame; carrying out featurepoint matching on the shot reference picture and the current frame, and calculating a rotation amount and a translation amount of the rotor unmanned aerial vehicle at the current shooting position relative to the shooting position of the reference picture so as to control the unmanned aerial vehicle to adjust the attitude of the unmanned aerial vehicle finely to reach the reference picture position and eliminate GPS errors; and acquiring the current frame again after fine adjustment, carrying out similarity comparison with the reference picture shot for the first time, and storing the currentframe when the similarity requirement is met, thereby realizing repositioning shooting. According to the method, the shot picture is repositioned and the fault point of the power tower can be detecteddirectly through deep learning, so that the manual calibration work of the fault point in the picture is reduced, and the power tower inspection efficiency is improved.

The invention relates to the technical field of butt joint equipment, in particular to power tower pipe butt joint equipment, which comprises a bottom plate, a pushing mechanism is arranged at the top of the bottom plate, two right-angle moving plates are arranged on the pushing mechanism, and the pushing mechanism is used for pushing the two right-angle moving plates to move relatively; a power mechanism is arranged in the middle of each right-angle moving plate; clamping mechanisms are arranged on the left side and the right side of the power mechanism; the power mechanism is used for driving the two groups of clamping mechanisms to operate; and pipes are clamped in the two groups of clamping mechanisms on the right-angle moving plates. According to the equipment of the invention, the butt joint mode of the pipes can be effectively simplified, operation steps are simplified, the automation degree of the machining mode and the butt joint work efficiency are improved, manpower is saved, meanwhile, the stability during butt joint of the pipes is improved, the butt joint precision and machining quality of the pipes are effectively improved, and practicability is improved.

The invention discloses an insulator defect automatic detection algorithm for an electric power inspection video. The algorithm comprises the following steps: step 1, classifying and enhancing original electric power tower insulator sample data; step 2, building and generating a convolutional neural network model, and training the network model through the data enhanced in the step 1; step 3, processing the to-be-detected image, extracting HOG features of the image passing through the network model through the established network model, and determining the approximate position of the insulatorin the image; step 4, after the approximate position of the insulator in the picture is determined through the step 3, whether the insulator is defective or not is detected through a CNN / LSTM deep learning method; according to the method disclosed by the invention, the defects of an existing power tower insulator defect detection method are overcome, a deep learning method is used, and the influence of other environmental factors in a sample is avoided. And the image is further processed and analyzed in combination with image features, so that the detection process is more accurate and efficient.

The invention relates to a cluster wind tunnel power tower which is a wind power generation device. According to the device, a static wind area is expanded to form a wind dam to lead natural wind to be clustered into wind tunnel airflow which ascends vertically through the narrow tunnel effect, and kinetic energy of the ascending airflow is accelerated through the chimney tube effect to drive a generator to rotate. The cluster wind tunnel power tower is arranged on the end of a bucket barrel of a cluster dam by a power tower base, and is in a shape of a tower integrally. The power tower is integrated by important components, such as a turbine wheel, a generator, a turbofan centrifugal wheel, a machine barrel and an automatic wind adjusting valve, and the cluster dam is integrated by important components, such as the bucket barrel, a chimney tube, a floating plate and a set wind wall. In a figure, 1 is the turbine wheel, 2 is the generator, 3 is the turbofan centrifugal wheel, 4 is the machine barrel, 5 is the automatic wind adjusting valve, 6 is the bucket barrel, 7 is the chimney tube, 8 is the floating plate, 9 is the set wind wall, 10 is a supporting cylinder, and 11 is a basal body.

The invention discloses a high-voltage grounding clamp. The high-voltage grounding clamp comprises a clamping plate group for clamping a high-voltage transmission line, the clamping plate group comprises a clamping plate A and a clamping plate B which are independent from each other and are symmetrically arranged; the clamping plate A is provided with a first cambered surface used for being matched with a high-voltage transmission line, the clamping plate B is provided with a second cambered surface symmetrical to the first cambered surface, a translation device is arranged between the clamping plate A and the clamping plate B, and the clamping plate A and the clamping plate B relatively translate under the effect of the translation device. According to the invention, the high-voltage transmission line can be connected reliably conveniently. According to the invention, clamping and loosening of the high-voltage power transmission line are realized through an electric driving device. Anonsite operator hitches an unmanned aerial vehicle with the device and then operates the unmanned aerial vehicle and the handheld remote controller to realize connection or removal of the ground wireand the high-voltage transmission line, operation is convenient, the efficiency is high, it is not required to climb a power tower in the process, the safety of onsite operation is improved, and thepersonal safety of the operator is ensured.

The invention relates to the technical field of power transmission line maintenance, in particular to a method and system for quickly judging the dangerousness of a power tower, and the method comprises the following steps: S1, obtaining image data of the surrounding environment of the tower, building a reference coordinate system, building a three-dimensional live-action model of the tower, and importing the three-dimensional live-action model into a GIS platform; S2, taking the reference coordinate system as a benchmark, obtaining tower three-dimensional point cloud data through laser scanning, establishing a tower three-dimensional point cloud model, and importing the tower three-dimensional point cloud model into a GIS platform; S3, establishing a three-dimensional reference model of the tower, and importing the three-dimensional reference model into a GIS platform; S4, fusing and displaying the imported model by the GIS platform, and calculating to obtain a measurement value of the risk index of the tower; S5, enabling the GIS platform to judge whether the measured value is larger than a threshold value or not, if yes, sending out a danger prompt is sent out, and if not, returning a judgment result to the S4 to be displayed. The method enriches the judgment dimension of the risk of the tower, and is more intuitive and efficient.

The invention belongs to the technical field of power transmission line automatic inspection, and particularly relates to an unmanned aerial vehicle power transmission line inspection method based on deep learning image recognition. According to the method, firstly, image recognition is carried out according to an image shot by holder equipment carried by an unmanned aerial vehicle, a target point in the image is extracted, then frame selection is carried out on the target point in the image, the frame selection position of the target point is compared with a standard position, and the position and angle of a power transmission line of a power tower relative to the unmanned aerial vehicle are judged. the least square fitting is carried out on the normalized coordinates of the power transmission line image and the weighted pixel coordinates of the power transmission line so as to judge the direction of the power transmission line, adjusting the unmanned aerial vehicle, enabling the unmanned aerial vehicle to be parallel to the power transmission line, and starting routing inspection along the power transmission line. The unmanned aerial vehicle can be controlled to move along the power transmission line between the power towers by analyzing the images collected by the unmanned aerial vehicle, so that the purposes of unmanned aerial vehicle cruising and power transmission line anomaly detection are achieved.

The invention discloses an automatic detection method and system for an electric power tower based on 3D laser scanning technology of an unmanned aerial vehicle. The method is a method for extractingand identifying an electric power tower by using a laser point cloud technology and a laser point cloud and visible light image registration technology. According to the invention, a symmetric function and a human eye visual saliency detection technology are used to extract a power tower area in an image, a power tower is extracted according to K-means clustering, and the power tower image is fused according to line feature matching and a mutual information value image registration technology so as to detect the power tower. According to the electric power tower automatic detection system andmethod based on the 3D laser scanning technology of the unmanned aerial vehicle, the electric power tower can be accurately recognized and positioned, and the requirements of the unmanned aerial vehicle for electric power tower safety automatic detection and tracking are met.

The invention belongs to the technical field of automatic inspection of power transmission lines, and particularly relates to an unmanned aerial vehicle power transmission line detection and autonomous cruise method based on image recognition for autonomous inspection of power towers. According to the method, a power transmission line is photographed, the position of a power tower is identified through an image identification method based on deep learning, a first power tower target to be inspected by an unmanned aerial vehicle is determined, the unmanned aerial vehicle sails towards the target power tower, and the distance between the unmanned aerial vehicle and the power tower is judged through a video image; when the unmanned aerial vehicle flights to a location near to the power tower, the electric power tower is identified through a fine identification mode, then the angle position of the electric power tower relative to the unmanned aerial vehicle is judged through calibration of key parts of the electric power tower, and routing inspection is started according to the judged distance and angle. According to the method disclosed by the invention, the unmanned aerial vehicle can automatically inspect the power tower without participation of a flying hand or data processing personnel, so that the circuit inspection efficiency is improved, and the inspection cost is reduced.

The invention discloses a national power grid lightning stroke prediction method, and relates to the field of machine learning, wherein the method is used for performing lightning stroke risk prediction on a power transmission line and a power tower pole of a state grid. The method comprises the following steps that historical information is collected, complete historical data is formed, the dimension of the complete historical data is a data feature, the data feature is selected, a Catboost model is trained, current information is collected, the complete current data is formed, and lightningstroke risk prediction is conducted through the trained Catboost model. The method provided by the invention can predict the probability and risk level of lightning stroke risks of the power tower pole and the power transmission line, and deploy countermeasures in advance.

The invention discloses a safety auxiliary device for electric power tower maintenance, and mainly relates to the field of electric power equipment. The safety auxiliary device comprises a tower, wherein a ladder stand is arranged on one side of the tower in the height direction of the tower. The safety auxiliary device further comprises an anti-skid structure and a standing structure, wherein theanti-skid structure comprises protective pipes; the protective pipes are symmetrically fixed on the two sides of the ladder stand; fixing columns are arranged between the protective pipes and the tower; sliding holes are formed in the protective pipes in the length direction; sliding buckles are connected to the protective pipes in a sliding mode in the length direction of the protective pipes; fixing lugs are arranged on one sides of the sliding buckles; the sliding buckles sleeve the outer sides of the protective pipes; notches are formed in the sides, facing the tower, of the sliding buckles; sliding blocks are arranged on the inner sides of the sliding buckles and are connected in the sliding holes in a sliding mode; anti-skid plates are rotationally connected to the sliding blocks; aplurality of anti-skid grooves are linearly arrayed in the protective pipes in the length direction; and the anti-skid grooves are in a shape with a shallow upper part and a deep lower part. The safety auxiliary device has the beneficial effects that more safety guarantees are provided for maintenance personnel in the climbing and maintenance process, and potential safety hazards are reduced.

The invention discloses a cross arm structure for a combined power tower. The cross arm structure comprises an upper cross arm and a lower cross arm which are arranged on the tower, suspension insulators are fixed to the lower side wall of the upper cross arm and the upper side wall of the lower cross arm correspondingly, and mounting openings are formed in the middle of the upper cross arm and the middle of the lower cross arm correspondingly; two through openings communicating with the interiors of the mounting openings are formed in the outer walls of the upper cross arm and the lower crossarm, threaded openings communicating with the interiors of the mounting openings are further formed in the middles of the upper cross arm and the lower cross arm, a U-shaped plate is jointly insertedbetween the two through openings, and fastening bolts matched with the threaded openings are in threaded connection with the U-shaped plate; and the two sides of the upper cross arm and the two sidesof the lower cross arm are each provided with a baffle located on the outer sides of the suspension insulators. By means of the cross arm structure, the baffles are arranged to shield wind power, theinfluence of air flow on the suspension insulators is reduced, the overall stability is guaranteed, meanwhile, connection between a heating wire and a power source is triggered for heating when the air temperature is low, accumulated snow accumulation is avoided, and the overall wind and snow resistance is improved.

The invention provides an electric power unmanned aerial vehicle inspection method and system based on electric power tower model matching, and belongs to the technical field of electric power facility inspection. The electric power unmanned aerial vehicle inspection method based on electric power tower model matching comprises the steps of S1, obtaining the three-dimensional model data of an electric power tower and the three-dimensional model data of an unmanned aerial vehicle; S2, drawing a target route in combination with the three-dimensional model data of the power tower and the defined geographic position information; S3, simulating flight along the target route by using the three-dimensional model data of the unmanned aerial vehicle to obtain the virtual motion attitude data; S4, sending a control instruction to the unmanned aerial vehicle so as to control the unmanned aerial vehicle to fly according to the virtual motion attitude data and the target route for routing inspection. According to the method, the actual tower body characteristics and geographic position information of the electric power tower are acquired, and the data obtained during simulation are corrected, so that the working efficiency is greatly improved, system channel bloating is avoided, and a favorable basis is provided for the deep learning of a neural network.

The invention discloses a lightning arrester for an electric power iron tower and a use method thereof, the lightning arrester comprises an electric power tower frame, a support plate and an infraredsensor, one side wall of the electric power tower frame is connected with a support frame through a bolt, the upper end of the support frame is connected with the support plate through a bolt, and themiddle part of the upper end of the support plate is connected with a noise bird repeller through a bolt. Beneficial effects are that: the method is suitable for large-scale production. According tothe invention, the infrared sensor and the noise bird repeller are arranged; birds close to the electric iron tower can be expelled. Therefore, accidents caused by the fact that birds nest and are ignited by thunder and lightning are avoided. The lightning protection device is simple in structure and very practical, by arranging the upper end cover, the sealant, the lower end cover and the heat-shrinkable sealing pipe, the synthetic sheath has excellent sealing performance, so that the sealing performance of the synthetic sheath is good, explosion caused by temperature rise due to change of resistance characteristics of an internal conductor of the synthetic sheath is avoided, and the safety and stability of the lightning protection device can be improved.

The invention relates to the field of unmanned aerial vehicles, and particularly provides an unmanned aerial vehicle simultaneous localization and mapping (SLAM) technology inclination angle measurement system based on extended Kalman filtering. The unmanned aerial vehicle SLAM technology inclination angle measurement system comprises an electric tower structure model database module, an unmannedaerial vehicle motion and measurement module, an unmanned aerial vehicle data processing module and a tower model reconstruction module, wherein the unmanned aerial vehicle motion and measurement module can obtain point cloud data of an environment map and an electric power tower based on simultaneous localization and mapping of extended Kalman filtering; and the unmanned aerial vehicle data processing module is used for fitting a central axis of the electric power tower and calculating an inclination angle. The unmanned aerial vehicle SLAM technology inclination angle measurement system can greatly reduce the workload of measurement of the inclination angle of the electric power tower, improves the working efficiency of inspection of a power transmission line and the electric power tower,improves the operation speed and intelligent degree, reduces the labor cost, time cost and work difficulty, improves the accuracy, stability and usability of measurement of the inclination angle of the power tower, is simpler and easier to use, and realizes efficient and intelligent measurement of the inclination angle.

The invention discloses a power tower monitoring data encryption method based on an alliance block chain and Beidou. The method comprises the steps that an edge calculation device transmits the statedata of a power tower to a monitoring center, the monitoring center initiates a transaction proposal to the alliance block chain, and the alliance block chain consists of nodes: the edge calculation device and the monitoring center; a ring endorsement node is selected according to a preset endorsement strategy, a simulation transaction is executed by the ring endorsement node according to the transaction proposal, and ring endorsement signature is carried out on a simulation transaction result; a bookkeeping node checks and verifies the simulation transaction result, and if the simulation transaction result is consistent, state data, the simulation transaction result and the endorsement signature are packaged to generate new block information; and a sorting node packages the new block information according to a time sequence to generate a new block, and broadcasts and notifies each node to update an account book. Through the alliance block chain, the security, integrity and non-tampering performance of the state data of the power tower are ensured, and the security of the power tower is improved.

The invention discloses a semantic segmentation method for power tower / pole images and belongs to the technical field of computer vision and pattern recognition. The method comprises the steps of: pre-processing the power tower / pole images, segmenting the power tower / pole images into super pixels, selecting best matched data sets and extracting features; giving an initialized semantic annotation to each super pixel according to similar relationships between the power tower / pole images and the data sets; respectively substituting the initialized semantic annotations into an annotation space and a feature space, and calculating an annotation-space high-order loss function value and a feature-space high-order loss function value; and optimizing a loss function, and obtaining a global minimum value of the loss function, thereby reaching the aim of semantic image segmentation. According to the method, during the semantic segmentation of the power tower / pole images, the consistency of the same object and edges of different objects are correspondingly enhanced, so that the problems in existing image segmentation and analysis algorithms that the loss function is single, the sensitivity is lower, and the misclassification rate is high are solved.

The invention discloses a tower bolt state monitoring method and device based on a stack type support vector machine. The tower bolt state monitoring method comprises the steps: collecting and preprocessing a vibration data set; carrying out wavelet transformation on the preprocessed data to construct a feature vector; training an adversarial support vector machine A-SVM by using the feature vector; training a stack type support vector machine S-SVM; and utilizing the trained stack type support vector machine model to realize automatic monitoring of the tower state. The tower bolt state monitoring device is characterized in that the input end of an AD acquisition module is connected with a vibration speed sensor; the output end of the AD acquisition module is connected with an FPGA; the FPGA is connected with a GPRS module and an up2 development board; the up2 development board sends a control instruction to a control relay module, and the output end of the control relay module is connected with the vibration speed sensor; and the GPRS module communicates with a far-end upper computer. According to the tower bolt state monitoring method and device, the safety state of the tower canbe monitored, and accidents caused by bolt loosening of the tower are reduced, and safe and stable operation of the power tower and a power transmission line is guaranteed.

The invention relates to the field of electric power automation, in particular to a three-dimensional grid-based automatic point cloud classification method in a substation scene. The method comprises the following steps: de-noising three-dimensional point cloud data polled by an unmanned aerial vehicle, performing downsampling to divide grids, and performing coarse classification on the grids by using spatial features of a power line and an electric power tower; correcting and complementing the power line by using the spatial line characteristics of the power line; correcting the category of an electric power tower and calculating the center of the electric power tower by utilizing the spatial relationship between the electric power tower and a power line, performing clustering segmentation by taking the center as a seed point, and then performing up-sampling to obtain accurate point cloud classification of the electric power tower and the power line. The classification method can establish an accurate spatial position and three-dimensional model of the power tower and the power line, is used for planning an unmanned aerial vehicle patrol line, and effectively improves the patrol efficiency. And for different electric power scenes, the method has relatively high accuracy and robustness.

The invention discloses a national power grid tree line discharge prediction method, relates to the field of machine learning, and is used for carrying out tree line discharge risk prediction on a power tower pole, a power transmission line and a power transmission channel of a state grid. The method comprises the following steps: collecting historical information, forming complete historical data, carrying out resampling on the complete historical data, training a LightGBM model, collecting current information, and forming complete current data; and performing tree line discharge risk prediction by using the trained LightGBM model. The method provided by the invention can predict the probability and the risk level of the tree line discharge risk of the power tower pole and the power transmission line, and deploy corresponding measures in advance.

The invention provides a wind power tower drum internal maintaining and repairing device which comprises a rail frame, a bridge box, a driving device, a control console and an auxiliary hoisting device. The bridge box is connected to one end of the rail frame. The top of the bridge box is provided with an elevating platform. The driving device is connected into the bridge box. One end of the auxiliary hoisting device and one end of the control console are both connected to the elevating platform. The rail frame comprises a plurality of racks and a plurality of connecting plates. One sides of the plurality of connecting plates are connected to joints of the plurality of racks correspondingly. The other sides of the plurality of connecting plates are detachably connected to a ladder inside awind power tower. The driving device comprises a motor, a speed reducer, guide wheels, limiting wheels and brake wheels. The bridge box is convenient to transport and install, and construction cost is reduced; by arranging the auxiliary hoisting device, labor is saved, and efficiency is improved; the structure is simple, the wind power tower drum internal maintaining and repairing device can be detached in normal work, and therefore work space is enlarged; and the wind power tower drum internal maintaining and repairing device is compact in structure, high in bearing capacity, stable in workand low in price.

The invention discloses a power tower base convenient to install. The power tower base comprises a foundation. A mounting base is slidingly connected to the top wall in the foundation, a power tower installation device is arranged in the mounting base, and multiple slide columns are welded to the side wall of the mounting base. A slide sleeve slidingly sleeves each slide column, each slide sleeveis welded to the inner side wall of the foundation, a first spring is fixedly connected between each slide sleeve and the corresponding slide column, and slide rods are welded to the upper and lower walls of each slide sleeve. Each slide block is welded to the inner side wall of the foundation, a first slide block slidingly sleeves each slide rod, and a second spring is fixedly connected between each first slide block and the inner side wall of the foundation. The power tower base convenient to install has the advantages that a power tower can be conveniently and quickly installed, the mounting height can be freely adjusted, and the power tower base is suitable for mounting power towers different in specification, has higher practicability, and can absorb partial impact force when the power tower suffers from high wind or earthquake, so that the power tower base is prevented from being damaged.

The invention relates to a multi-element zinc-aluminum alloy wire. The multi-element zinc-aluminum alloy wire comprises, by weight percent, 15%-69% of Al, 0.2-3% of Si, 0.1-5% of Mg, 0.01-0.8% of Ce, 0.01-0.2% of Pr, 0.01-0.2% of Nd, not more than 1% of added microelements, and the balance of Zn, wherein the three rare earth elements have a total amount of 0.03-0.92%. The zinc-aluminum alloy wirehas a resistivity of 2.0-6.0 Mu omega / cm, a specific gravity of 3.18-5.69g / cm<3>, and an elongation of 10-25%. The multi-element zinc-aluminum alloy wire is widely applicable to ships, power towers, large storage tanks, underground pipelines and facilities such as tunnel frames, and has broad application prospect.