450 results about "Bird nest" patented technology

The invention relates to a power transmission line nest hazard grade identification method and device and computer equipment. The method comprises the following steps: acquiring a target power transmission inspection image, wherein the target power transmission inspection image comprises a bird nest and an insulator; detecting a bird nest and an insulator in the target power transmission inspection image to obtain a target detection result; performing instance segmentation on the target power transmission inspection image to obtain a first segmented region image including a bird nest and a second segmented region image including an insulator; based on the target detection result, the first segmented region image and the second segmented region image, determining a spatial position relationship between the bird nest and the insulator; and determining a bird nest hazard level based on the spatial position relationship. By adopting the method, the accuracy of bird nest hazard grade identification can be improved.

The invention discloses a bird-related fault identification and early warning method based on a transmission tower gap model, and relates to the technical field of power system safety monitoring. The method comprises the following steps: firstly, constructing a three-dimensional transmission tower gap model containing a local insulated armor, and obtaining an electric field distortion feature library under various working conditions through finite element simulation; further simulating interference behaviors of the bird body, the bird nest and the excrement in the safety gap, calculating the discharge probability, and synthesizing and labeling a bird image for training a risk decision model. And in combination with a target detection algorithm integrating an attention mechanism and an SPPCSPC module, space coordinates of bird targets are extracted in real time and mapped to a high-risk area, and a discharge risk score and a breakdown trend index are output by using an LSTM network. And when the risk index exceeds a dynamically adjusted early warning threshold, generating an early warning signal and a fault coordinate. According to the invention, the precision and foresight of bird-related fault identification are improved, and the method has good engineering adaptability.

The invention relates to a power transmission line multi-defect detection method and system based on improved YOLOv8s, and the method comprises the steps: collecting insulator defects and bird nest images on a power transmission line, and obtaining an initial data set; adopting an SAM large model to preprocess the initial data set to obtain a target data set; dividing the target data set into a training set, a verification set and a test set; taking the YOLOv8s network model as a reference model to construct an improved YOLOv8s network model as a power transmission line multi-defect detection network model; inputting the training set into a model for model training; inputting a verification set into the trained power transmission line multi-defect detection network model for model evaluation; and inputting the test set into the model to obtain a power transmission line defect detection result, and evaluating the model. According to the improved YOLOv8s network model, the problems of missing detection and false detection of defects can be avoided, the detection precision of the model is improved, and the light weight of the model is considered at the same time.

The invention discloses a power transmission line corona discharge risk assessment method based on bird nest polarization characteristics, and relates to the field of power transmission line safe operation. The method specifically comprises the following steps: establishing a bird nest polarization characteristic mathematical model, considering bird nest material and shape characteristics, and calculating an electric field enhancement coefficient; introducing critical polarization intensity as a criterion of corona discharge; establishing a kinetic equation of polarization intensity changing along with time, and revealing dynamic characteristics of the polarization process; and defining a corona discharge probability function to realize quantitative evaluation of the discharge probability. According to the method, a complete physical model from bird nest polarization to corona discharge is established, key links such as electric field enhancement, polarization dynamics, critical polarization intensity and discharge probability are covered, a systematic theoretical framework is provided for corona discharge caused by bird nests, and the method has remarkable practical value for guiding design, operation and maintenance of power transmission lines and is worthy of popularization and application. And an important contribution is made for ensuring safe and stable operation of a power system.

This invention provides a single-action anti-bird nest thread-cutting mechanism and its control method. The single-action anti-bird nest thread-cutting mechanism includes a fixed blade, a rotatable movable blade, a thread-cutting drive source, and a thread-cutting drive assembly. The fixed blade has a fixed blade edge. The thread-cutting drive source is connected to the movable blade via the thread-cutting drive assembly, driving the movable blade to rotate towards or away from the fixed blade. The movable blade has a starting thread hook groove and a separating thread hook groove. The starting thread hook groove allows the sewing machine needle to pass through. The movable blade has a moving blade edge on its surface facing the fixed blade. The starting thread hook groove and the separating thread hook groove are distributed on the same side of the moving blade edge. This application uses the same thread-cutting drive source and the same set of movable and fixed blades to achieve the purpose of preventing bird nests during the starting thread cutting and automatic thread cutting after sewing, effectively avoiding thread breakage during the starting thread and achieving a stable effect of normal starting thread without bird nest clumps.

The invention provides a power transmission line bird damage prevention and control system based on a space-time semantic information model. The system comprises a bird damage evolution mechanism based on a knowledge graph, a bird nest refined detection model, a bird nest form trend prediction model fused with space-time semantic information and a bird damage grade evaluation model combined with the space-time semantic information. According to the bird damage evolution mechanism based on the knowledge graph, bird data is used as input, a power transmission line bird damage knowledge graph is constructed, and the bird damage evolution mechanism is obtained; the bird nest fine detection model is based on an NFFB-YOLOv9 algorithm and a bird nest deep semantic information extraction module, and image feature and semantic information extraction is carried out on the input picture to obtain a bird nest fine detection result; the spatio-temporal semantic information fused bird nest form trend prediction model predicts the change trend of the bird nest form along with time based on the historical data of the bird nest image; and finally, performing bird damage grade evaluation through the bird damage grade evaluation model. The bird damage grade and harm can be comprehensively judged through influence factors such as time and environment.

The invention relates to a visual bird nest cleaning robot capable of automatically climbing a pole, and the robot comprises a tower climbing mechanism which is of an inchworm structure and carries out the vertical climbing operation; the mechanical arm mechanism is arranged at one end of the tower climbing mechanism, a mechanical clamping jaw is arranged at the free end of the mechanical arm mechanism, the relative position of the mechanical clamping jaw is adjusted through the mechanical arm mechanism, the bird nest is damaged and removed through the mechanical clamping jaw, and a camera is arranged in the center of the mechanical clamping jaw; according to the visual bird nest cleaning robot capable of automatically climbing the pole, an operator stands under a pole tower, the pole-climbing robot is remotely controlled to carry out climbing operation, a mechanical arm can be controlled to work at any time through a mobile phone terminal, and the bird nest removing condition is known.

The invention relates to the technical field of safety monitoring, in particular to a power transmission line safety early warning system based on artificial intelligence and Beidou positioning. The system comprises a power transmission line data acquisition module, a power transmission line damage evaluation module, a tower safety fault identification module and a safety fault positioning and early warning module, and an image sensor, a current sensor and a voltage sensor are arranged on a power transmission line to acquire multi-source line data and transmit the data to a data processing center in real time; obtaining the distance of the corresponding trees and the number of built bird nests, and carrying out safety damage evaluation calculation and safety fault recognition analysis on the power transmission line to obtain a safety fault recognition result of the power transmission line tower; a Beidou positioning module is integrated and fault positioning early warning is carried out on a corresponding power transmission line tower with a safety fault, so that a fault early warning position of the power transmission line tower is obtained, and corresponding power transmission line fault early warning repair work is executed. Safe and stable operation of the power transmission line can be guaranteed.

The invention discloses a power transmission line corona discharge risk analysis method, device and equipment, and relates to the field of power transmission line safety analysis, and the key points of the technical scheme are as follows: establishing a dielectric model for representing the polarization characteristics of different types of bird nests on a power transmission tower, and calculating the power transmission line corona discharge risk based on the weighted sum of the dielectric model; obtaining a first mathematical model used for describing bird nest polarization characteristics, and introducing an environment correction factor of the power transmission line to correct the first mathematical model to obtain a second mathematical model; determining the polarization intensity of different types of bird nests on the power transmission line according to a second mathematical model; correcting the initial corona field intensity of the power transmission line containing the bird nest according to the electric field distortion rate and the polarization intensity to obtain the corrected initial corona field intensity; and constructing a corona discharge probability model according to the corrected initial corona field intensity, the electric field distortion rate and the polarization intensity, and analyzing the corona discharge risk of the power transmission line based on the corona discharge probability model.

The invention provides a power transmission line defect detection method and system, and the method comprises the steps: obtaining video data of a power transmission line, and carrying out the preprocessing of the video data of the power transmission line according to a preset data format rule, and obtaining an input item; inputting the input item into a preset detection model for insulator defect and bird nest intrusion detection to obtain a corresponding detection result; wherein the detection model identifies and marks the content of the input video data based on a pre-trained convolutional neural network, and determines insulator defects or bird nests existing in the video data; and when the insulator defect or bird nest invasion exists in the detection result, outputting an alarm signal and alarm information. According to the method, the parameter quantity and the calculation quantity can be reduced by reducing redundant calculation and memory access, the feature extraction effect is more remarkable, and the detection precision in the insulator defect and bird nest intrusion data set is obviously improved.

The invention discloses a transformer substation bird nest hidden danger identification method and system based on multi-model collaboration, and belongs to the technical field of computers, and the method comprises the steps: carrying out the image collection in a transformer substation scene through employing unmanned plane equipment, and obtaining a transformer substation bird nest hidden danger image set; inputting the substation bird nest hidden danger image set into a target area identification model for potential target identification and image clipping, and outputting a to-be-detected image; based on a preset recognition task, performing visual feature enhancement on the to-be-detected image, and generating a prompt word text; inputting the to-be-detected image and the cue word text into an image analysis model for bird nest recognition to obtain a recognition result; and outputting a bird nest position and an alarm signal in the to-be-detected image according to the identification result. Therefore, by implementing the method and the device, the problem that non-nest objects with similar colors and forms cannot be effectively distinguished in a complex environment in the prior art, so that the false recognition rate of hidden danger recognition of the transformer substation is high can be solved.

The invention belongs to the technical field of energy system optimization, and provides a combined cooling heating and power comprehensive energy system multi-target operation optimization method, which comprises the following steps: by combining chaotic mapping and a cuckoo algorithm, introducing a dynamic adaptive step factor and a dynamic discovery probability, and introducing disturbance reverse learning, constructing a multi-target optimization scheduling model; by improving the cuckoo optimization algorithm, performing population initialization by utilizing Logistic chaotic mapping, enhancing the randomness and global search ability of the algorithm, introducing a dynamic adaptive step factor and a dynamic discovery probability, increasing the diversity and flexibility of bird nest initialization, improving the global search ability, and introducing disturbance reverse learning, the algorithm has the advantages of improving the robustness of the algorithm, and improving the robustness of the algorithm. The algorithm performance is fully improved, and falling into a local optimal solution is avoided; compared with a common micro-grid, the improved comprehensive energy power grid has the advantages that the economic benefit can be effectively improved, pollutant emission is reduced, and the total cost of the whole system is reduced to a certain extent.

The invention discloses an unmanned aerial vehicle bird nest cleaning device with a visual function, and relates to the technical field of unmanned aerial vehicle application, the unmanned aerial vehicle bird nest cleaning device comprises an unmanned aerial vehicle body, the unmanned aerial vehicle body cooperates with a camera to observe the position of a high-altitude bird nest on power transmission tower equipment, and then the relative position of a clamping plate and the bird nest is adjusted through the unmanned aerial vehicle body; the height of the clamping plates is adjusted through the lifting mechanism, the orientation of the clamping plates is adjusted through the steering mechanism, and the effect of driving the two clamping plates to get close to each other to clamp a bird nest is achieved through cooperation of the stepping motor, the bidirectional lead screw and the sliding block. Then the unmanned aerial vehicle body is controlled to take down the bird nest, then the bird nest removing and cleaning operation on the power transmission tower equipment can be completed, finally, under the action of the unmanned aerial vehicle body, the bird nest is brought to the ground, then the stepping motor is started to control the two clamping plates to be loosened, and the whole device is small, small, low in energy loss and safe and reliable in use.

The invention belongs to the technical field of power transmission line safety, and particularly relates to a bird nest removing device with a fallen object collecting function, which is characterized by comprising an insulating rod, an umbrella assembly, a clamping assembly and a handle, the umbrella assembly is arranged at the upper position of the insulating rod, the clamping assembly is arranged at the top of the insulating rod, and the handle is arranged on the umbrella assembly. And a handle for driving the clamping assembly to open and close is arranged at the bottom of the insulating rod. The bird nest removing device with the fallen object collecting function is mainly used for 35 kV power transmission line bird damage hidden danger treatment work, the clamping assembly is used for stably clamping a bird nest, the umbrella assembly is used for collecting the bird nest and other fallen objects, the hidden danger that branches fall off when the bird nest is removed, and line collision is caused is avoided, and the line operation stability is improved.

The invention discloses a preparation method and application of a novel bird nest alkane diterpenoid compound, and relates to the technical field of medicinal chemistry. The invention aims to solve the problems that chemical synthesis needs harsh conditions and the cost is difficult to control when diterpenoid compounds are obtained in the prior art, and a large amount of resources are wasted and new molecules are difficult to obtain under conventional fermentation conditions. The prepared bird nest alkane type diterpene has dual functions of promoting neurite growth and nourishing neurons, is expected to be developed into a neuroprotective agent, and is used for treating neurodegenerative diseases and peripheral nerve injury diseases; meanwhile, the problems that in the prior art, when the compounds are obtained, conditions needed by chemical synthesis are harsh, the cost is difficult to control, a large number of resources are wasted under conventional fermentation conditions, but new molecules are difficult to obtain, and production and smooth follow-up biological activity research are not facilitated are effectively solved. The invention provides the preparation method and the application of the novel bird nest alkane diterpenoid compound.

The invention belongs to the field of line maintenance equipment, and particularly relates to electric power line cleaning and maintenance equipment which comprises a movable machine body. A rotating seat is mounted at the top of the moving machine body; a plurality of crawler wheels are mounted on the side wall of the movable machine body; the crawler wheels are symmetrically arranged on the side walls, away from each other, of the movable machine body. A movable crawler belt is mounted outside the crawler wheels; an extension scaling ladder is mounted at the top of the rotating seat; a hydraulic rod is mounted between the extension scaling ladder and the rotating seat; the end part of the extension scaling ladder is rotationally connected with a cleaning rod; the cleaning rod is pushed to the electric power circuit through the extension of the extension scaling ladder, and then the cleaning teeth are used for cleaning sundries such as bird nests erected on the electric power circuit, so that the function of cleaning the sundries on the electric power circuit is realized, and the problems that the sundries appear on the electric power circuit, the electric power circuit is easily pressed, and the working efficiency is high are effectively solved. And therefore, the problem of electric power line skin rupture or electric power line fracture can be solved.

The invention discloses an ecological protection knowledge reasoning and artificial nest derivative design method, which belongs to the field of product design assisted ecological protection, and comprises the following steps: collecting multi-source data in the field of migrant bird protection, extracting key knowledge information related to migrant bird behaviors and habitats, and constructing a multi-dimensional knowledge data set in the field of migrant bird protection; the method comprises the following steps: locally deploying a large language model, performing customization optimization, performing knowledge reasoning through a knowledge base and a reasoning engine, simulating a bird expert decision-making process, and testing and applying the customized and optimized large language model; establishing a dynamic stress model of the bird nest; node weights are calculated, and a point cloud model and a stress surface model are generated and visualized; designing a bird nest base, and establishing a three-dimensional model of the bird nest base; carrying out derivative design on the bird nest main body; and manufacturing a bird nest main body, and performing deployment and monitoring. According to the method, the customized bird nest adaptive to the habitat requirements and activity rules of the migrant birds can be generated, so that the intelligent level and scientificity of ecological protection are improved.

The invention discloses a bird nest removing system based on unmanned aerial vehicle detection and deep learning, and the system employs an image collection module of an unmanned aerial vehicle to carry out the aerial photographing of a target area, the captured image data is transmitted to a ground terminal, and the ground terminal carries out the deep analysis of the transmitted image through a detection module, and generates a detailed detection report. A detection report is input to a judgment module, if it is judged that the bird nest exists in the detection information, an alarm module is triggered immediately, a clearing module of the unmanned aerial vehicle is started and controlled, a clearing or grabbing device is started, fixed-point clearing is conducted on the target bird nest, and meanwhile the unmanned aerial vehicle continuously uses a high-resolution camera to monitor the whole clearing process. And after the clearing task is finished, the unmanned aerial vehicle performs inspection shooting and detection on the target area again to verify whether the bird nest is thoroughly cleared. According to the method, image acquisition, deep learning detection, intelligent discrimination and diversified clearing technologies are combined, and the bird nest on the high-voltage power transmission facility can be quickly and accurately identified and efficiently cleared.

The invention provides a power transmission line foreign matter detection method in a complex environment based on MEF-YOLOv8, and relates to the technical field of power transmission line intelligent detection.The method comprises the steps that firstly, a foreign matter image data set comprising bird nests, garbage, kite and balloons is constructed, the data set is expanded and enhanced through the Mosaic-9 data enhancement technology, and the foreign matter image data set is obtained; a LabelImg tool is adopted to carry out detection frame labeling on the data set, and the generalization ability of the model is improved; secondly, an efficient multi-scale attention (EMA) module is integrated into a C2f structure of a YOLOv8 backbone network, and pixel-level enhancement of multi-scale foreign matter features is achieved through feature grouping, parallel sub-network processing and cross-space learning; then, a Focal-EIOU loss function is integrated into the YOLOv8 model, and the training process is optimized through EIOU loss item calculation, a Focal weight adjustment mechanism and hyper-parameter lambda fusion; and finally, training and testing the improved YOLOv8 model, and outputting a detection result. According to the method, the detection precision and robustness of the foreign matters of the power transmission line in a complex environment are remarkably improved.

The utility model discloses a bird nest type rotary storage device which comprises a backboard lifting device, a backboard lifting device a and a disc storage device, the backboard lifting device and the backboard lifting device a are the same in structure, the two sides of the backboard lifting device and the backboard lifting device a are respectively provided with a front face and a back face, and the backboard lifting device and the backboard lifting device a are inserted into the disc storage device formed by stacking multiple layers of disc plates at intervals. And bracket supporting tables and double rows of bracket supporting tables are alternately arranged on the circumference of the disc plate. When the front / back surfaces of the lifting plates are opposite, double rows / single supporting tables are respectively accommodated, single and double rows of sample box access areas are formed, and the space utilization rate and the access efficiency are improved. And the backboard is bent to form an isosceles mounting opening and a limiting structure, and is matched with a wire slot for storing the disc and a storage opening to realize quick disassembly and assembly, so that the maintenance cost is reduced. Through modular design and structural optimization, the problems that the storage disk is inconvenient to disassemble, insufficient in space and the like are solved, and the storage disk has the advantages of being flexible to disassemble and assemble, low in cost, high in storage efficiency and the like.

The invention discloses a multifunctional bird nesting device which comprises a floating platform, an inhabiting and nesting frame, a bird nest body, a flushing structure, a solid-liquid separation assembly, a solid treatment assembly, a liquid purification assembly, a water quality monitoring part and a plant purification structure. Through the arrangement of the flushing structure, the bird nest can be automatically cleaned, manual cleaning by workers is not needed, the labor intensity needed for cleaning is reduced, the internal environment of the bird nest is ensured to be clean, the situation that birds abandon the bird nest due to poor environment is avoided, the temperature control ventilation structure is matched, ventilation and temperature control can be carried out on the interior of the bird nest, and the bird nest is convenient to clean. Survival and reproduction of birds are facilitated; solid-liquid separation is conducted on solid-liquid pollutants formed by the flushing structure through the solid-liquid separation assembly, then the solid pollutants are treated through the solid treatment assembly to be used for fertilizing the plant purification structure, the liquid pollutants are treated through the liquid purification assembly, and then the solid pollutants are conveyed to the flushing structure to be recycled.

The invention relates to an operation control method for sewing a small nest by a sewing machine, which comprises the following working processes: a thread trimming working process: a main shaft rotates, a movable cutter extends out when the rotation angle is beta1, and the movable cutter reaches a thread trimming extending position when the rotation angle is beta2; when the main shaft rotates, the movable cutter stops at the trimming extension position, the take-up lever ascends, and the rotating angle of the main shaft is beta 3, the movable cutter begins to reset to hook the bottom thread and the upper thread; when the rotation angle of the main shaft is beta 4, the take-up lever ascends to the position Z1, the movable cutter returns to the initial position, the upper thread and the bottom thread are cut off, and the bottom thread is clamped; in the seam starting working process, the main shaft rotates, the suction opening generates a suction effect, and the movable cutter extends out; the movable cutter reaches a seam starting extending position; the movable cutter is fixed, the machine needle descends to penetrate through the cutter part through hole and then ascends, and the take-up lever ascends; when the take-up lever ascends to the position Z2, the movable cutter retreats; the movable cutter reaches the initial position and keeps still, the upper thread is cut off, and the upper thread is clamped; continuously rotating the main shaft for two cycles to form two stitches; and the adsorption assembly stops.

Provided is an anti-nest structure of a sewing machine. Mainly solves the problems that the bird nest prevention structure of the existing sewing machine adopts an externally-mounted bird nest prevention structure, the cost is high, and the operation space is reduced. The device is characterized in that a power source (5) and a wire pulling piece (6) movably installed in the shell are arranged in the shell, the power source is used for driving the wire pulling piece to move, the wire pulling piece comprises a deflector rod (61), and part of the deflector rod extends out of the shell to be connected with the wire. According to the bird nest prevention structure of the sewing machine, a built-in structure is adopted, the space outside the shell cannot be occupied, operation is prevented from being affected, and the bird nest prevention function can be achieved.

The utility model relates to the field of bird nest exploration and observation, and discloses an auxiliary device for urban bird nest exploration and observation, which comprises a vertical rod and a middle-section rod body, the rod body of the vertical rod is a telescopic combination and comprises the middle-section rod body, an upper-section telescopic rod and a lower-section rod body, the middle-section rod body and the upper-section telescopic rod are nested layer by layer, and the middle-section rod body and the lower-section rod body are nested layer by layer. A locking bolt is fixedly connected between the upper-section telescopic rod and the vertical rod, the middle-section rod body and the lower-section rod body are screwed and fixed through threads, and scales are machined on the outer wall of the upper-section telescopic rod. According to the auxiliary device for probing and observing the urban bird nests, the vertical rod is arranged, the vertical rod is of a stainless steel hollow pipe nesting structure with the diameters sequentially reduced from bottom to top, the height can be adjusted to meet the probing and observing requirements of nests with different heights, the flexibility of the device is improved through the telescopic combined rod, field monitoring and investigation work is facilitated, and the practicability is high. The problems of low flexibility and no targeted detection equipment are solved.

A substation portal frame bird nest removing device is carried by an unmanned aerial vehicle platform and comprises an executing mechanism fixedly connected to the bottom of the unmanned aerial vehicle platform through a rigid connecting frame, the executing mechanism comprises a main shell, the bottom of the main shell is open, and a memory alloy driving ring is contained in the main shell; the memory alloy driving ring is restored and popped out of the main shell through deformation of the electric heating driving assembly; the memory alloy driving ring comprises at least four sections of memory alloy arc sheets, and the four sections of memory alloy arc sheets are hinged end to end through hinges to form a deformable annular structure; a flexible wrapping bag is fixed to the inner wall of the main shell in a sealed mode, and the edge of a bag opening of the flexible wrapping bag and the outer edge of the memory alloy driving ring are sewn and fixed through a high-temperature line. The memory alloy driving ring is further provided with a hot feeding cutting system. A negative pressure adsorption system is arranged outside the main shell and used for enabling the flexible package bag to be adsorbed to the outer edge of the bird nest, and the bird nest can be efficiently pulled out while the safety of the birds is guaranteed.

A bird nest box comprising an enclosure having a circumferential side wall, a front panel with an entrance hole 22, an opposing rear panel, a floor 14, and a roof 16. The front panel comprises an inne

The utility model discloses an anti-nest thread bonding device and a sewing machine in the technical field of sewing machines. The anti-nest thread bonding device comprises an auxiliary thread trapper. The connecting end of the wire bonding plate is connected with the auxiliary wire clamping device, and the wire bonding end of the wire bonding plate and the auxiliary wire clamping device can rotate relative to each other; the wire bonding driving assembly is arranged on one side of the auxiliary wire clamping device, and the wire bonding driving assembly is provided with a wire bonding iron core shaft capable of axially moving in a reciprocating mode; the connecting rod is arranged between the wire bonding plate and the wire bonding driving assembly, one end of the connecting rod is hinged to the wire bonding iron core shaft, and the other end of the connecting rod is hinged to the wire bonding plate, so that the wire bonding end of the wire bonding plate is driven to swing through axial movement of the wire bonding iron core shaft. The thread bonding mechanism not only realizes the thread bonding action and prevents the generation of bird nests, but also has the advantage of simple structure, simultaneously avoids the problem that the hand is blocked by the operation space of the machine head, and enables the sewing machine to have a neat appearance.

The invention discloses an intelligent bird nest protection system based on the Internet of Things, and the system is characterized in that the system comprises a camera, a recognition module, a positioning module, a sensor module, and a photovoltaic power generation module; the camera and the recognition module are used for monitoring day and night and recognizing the types, behaviors and health conditions of the birds in real time through a neural network model; the positioning module is used for realizing high-precision positioning of a plurality of bird nests through combined work of a base station and a mobile station by adopting a differential GPS technology and a combined positioning algorithm; the sensor module integrates a temperature and humidity sensor and an illumination sensor and is used for monitoring environmental parameters in the bird nest; the photovoltaic power generation module is used for converting solar energy into electric energy by utilizing a photovoltaic panel and providing energy support for the intelligent bird nest protection system; real-time and continuous monitoring data is provided, and missing of key information is avoided; and through an intelligent identification technology, the accuracy and reliability of monitoring data are improved.

The invention relates to an ER-YOLO-based power transmission line bird nest detection method and device, and in the bird nest detection task of a power transmission line, the shooting distance is difficult to unify, the bird nest has different sizes in a picture, the area of the picture occupied by the bird nest is extremely limited, and the detection background is complex and changeable. An original YOLOv10 network model often neglects feature information of a small target in a feature extraction process, so that the accuracy rate in bird nest target detection is low. In order to solve the problem, an efficient channel attention module is introduced into a YOLOv10 backbone network, and a Repulsion loss function is used. Through the improvements, the model can extract bird nest features more effectively, the influence of background noise on target detection is reduced by endowing effective channels with higher weights and inhibiting irrelevant background features, and finally, the average precision of a mean value on a data set reaches 98.9%.

The invention discloses a transmission line multi-target defect detection method based on transformer improvement. The method comprises the following steps: using an unmanned aerial vehicle to shoot a transmission line defect image; carrying out naked eye observation on five types (four defects) of insulators, insulator spontaneous explosion, insulator flashover, bird nests and line foreign matters, and marking a data set by using Labelimg; a backbone network of the original YOLO11s is replaced by a swin transformer backbone network, a CBAM attention mechanism is introduced into a neck network, and a new model is constructed; and inputting the image of the to-be-detected power transmission line into the trained improved recognition model, generating a recognition result, and determining the position and precision of the defect. According to the method provided by the invention, the significant defects of the power transmission line can be identified more accurately in real time. According to the invention, high-precision real-time classification detection of power transmission line insulators, bird damage and entanglements is realized, line equipment faults can be rapidly positioned, and the method has important practical application value.