43results about How to "Reduce inspection" patented technology

The invention belongs to the technical field of anomaly recognition, and discloses a power transformation equipment anomaly recognition system and recognition method based on machine learning. The method includes the steps that insulation parameters, temperature data and electrical parameters of a transformer are collected, the health condition of equipment is evaluated in combination with a machine learning model, then an Actor-Critic algorithm is used for training a reinforcement learning model, the model considers factors such as the equipment state and the resource state, and the equipment state and the resource state are optimized; decisions are made in an action space including equipment selection, detection degree, personnel scheduling and frequency adjustment to balance the detection effect, resource utilization and cost control.

The invention belongs to the technical field of chronic wound depth analysis, and relates to a chronic wound depth analysis system based on image recognition. According to the method, more comprehensive and richer wound information is provided by acquiring the chronic wound image of the target patient, misdiagnosis and missed diagnosis can be reduced, the depth of the chronic wound can be judged more accurately, and by analyzing the initial depth level of the chronic wound image of the target patient, the accuracy of the chronic wound is improved. The chronic wound in-depth detection method of the target patient is determined, the in-depth detection requirement of the chronic wound of the target patient is judged, a more personalized detection scheme can be formulated, unnecessary examination and treatment are reduced, the economic burden and psychological stress of the patient are reduced, and the detection accuracy is improved by determining the chronic wound in-depth detection method of the target patient and performing detection and correction. The final depth grade of the chronic wound image of the target patient is analyzed, interference factors in the image can be recognized and corrected, the diagnosis accuracy is improved, and an important basis is provided for formulating a personalized treatment scheme.

The invention discloses a fault prediction method for a flexible hand for underwater robot operation, and belongs to the technical field of fault prediction, and the method comprises the steps: obtaining historical fault data collected by a sensor unit, carrying out the preprocessing, carrying out the feature screening, building a fault prediction model based on a time convolution network-bidirectional gating recursive unit neural network, and carrying out the fault prediction. And introducing a chaos mechanism and a crossover mutation improved samson algorithm to carry out hyper-parameter optimization on the fault prediction model to obtain an optimized fault prediction model, and inputting the online operation data of the flexible hand into the model to carry out fault prediction. The fault diagnosis precision can be improved, the long-term maintenance cost of equipment can be reduced through effective fault prediction and maintenance measures, and the overall economic benefit is improved.

The invention provides an emergency pre-examination and sorting system which comprises an information registration module used for registering basic information and medical history symptom information of a patient; the pre-evaluation module is used for establishing a symptom data set according to the basic information of the patient and the medical history symptom information, establishing a total data set according to the symptom data set and related triage rules in medical data literature, performing classifier training according to the total data set, performing triage category probability analysis by using a naive Bayesian algorithm according to the condition of the patient, and obtaining a triage classification probability result; a preliminary treatment examination department and a doctor are recommended; the grading module is used for grading the patients according to the critical degrees of the illness states according to the pre-evaluation result; the post-processing module is used for filing and storing the doctor-seeing record of the patient, the preliminary treatment examination department and doctor and the grading information, the disease data set of the patient is automatically analyzed through an algorithm, the preliminary treatment department and doctor are quickly recommended, the patient is prevented from being mistakenly guided to an improper department, and unnecessary examination and treatment are reduced.

The invention discloses a sewage treatment equipment operation monitoring system and method based on artificial intelligence, and relates to the technical field of sewage treatment equipment monitoring. The invention relates to a sewage treatment equipment monitoring system based on artificial intelligence. The system comprises a sensor module, a feature fusion module, a self-adaptive multi-modal feature fusion fault prediction model and a real-time monitoring and early warning module. The sensor module is used for carrying out processing and data transmission on the data collected by the equipment; the feature fusion module is used for carrying out feature selection and extraction on the transmitted data and carrying out feature fusion; the adaptive multi-modal feature fusion fault prediction model is used for automatically adjusting a feature fusion weight according to real-time data and historical data and carrying out fault probability calculation on equipment; and the real-time monitoring and early warning module is used for monitoring whether the equipment has an abnormal working state or not through the analyzed real-time data and fault prediction, and giving an early warning to the system according to the abnormal state condition of the system.

The visual Eustachian tube examination and treatment device with the suction function comprises an Eustachian tube endoscope, a sheath tube indexing and transposition locking assembly and a balloon assembly, wherein the balloon assembly is arranged between the sheath tube indexing and transposition locking assembly and the Eustachian tube endoscope. The sealing joint assembly of the balloon assembly is installed in the sheath tube indexing transposition locking assembly, the assembly is located outside the human body in the treatment process, the size of the sealing joint assembly can be properly enlarged according to the technological conditions, and the manufacturing difficulty of the balloon assembly is reduced; by changing the length of the sealing joint, the combination of the balloons with different lengths and the same endoscope is realized, and the endoscope is used for treating different patients; according to different relative positions of the treatment ear and the doctor caused by the lying position of the patient, the angle of the sheathing canal and the endoscope is adjusted; the balloon hollow tube is located in the sheath tube and forms a suction channel with the sheath tube, the end of the sheath tube is a suction inlet, and a suction tube externally connected with a negative pressure suction device is arranged on a sealing connector assembly in the balloon assembly, so that the nasal cavity aspirator has the suction function of cleaning hydrops in the nasal cavity.

The invention provides an intelligent generation method and device for a grid structure chart. The generation method comprises the following steps: acquiring basic information in a power distribution network; constructing a topological relation graph based on the basic information; based on the topological relation graph, generating a basic structure graph by using an intelligent mapping algorithm; the basic structure diagram is optimized, and a visual grid structure diagram is generated; and correcting and updating the grid structure diagram by using a CIM model. By applying the intelligent generation method and generation device of the grid structure diagram, the accuracy and integrity of data can be ensured, graphic errors caused by data problems are reduced, the basic structure diagram is generated by utilizing an intelligent mapping algorithm, manual intervention and inspection are reduced, the generation efficiency of the grid structure diagram is improved, and the generation efficiency of the grid structure diagram is improved. The generation period of the grid structure diagram is shortened; the user experience is improved, and the method has high applicability and expandability and can meet the requirements of different industries and projects.

The invention relates to the technical field of digital operation and maintenance systems, in particular to a digital operation and maintenance management and control system and method for electromechanical facilities, and the system comprises a vibration data collection module, a data processing module, a vibration characteristic analysis module, a data processing module, a data processing module and a data processing module, receiving the vibration state parameters sent by the data processing module; based on the vibration state parameters, executing a vibration data topological characteristic analysis and prediction system algorithm; generating a prediction result; the operation and maintenance decision module is in communication connection with the vibration feature analysis module and receives the prediction result sent by the vibration feature analysis module; generating operation and maintenance decision information based on the prediction result; the execution control module is in communication connection with the operation and maintenance decision-making module and receives operation and maintenance decision-making information sent by the operation and maintenance decision-making module; the corresponding operation and maintenance control operation is executed based on the operation and maintenance decision information, so that tiny anomalies possibly neglected by a traditional method can be captured, and the accuracy and advance time of fault prediction are improved.

The invention discloses a railway line environment potential safety hazard intelligent identification system, which mainly comprises a sensor module, a data processing unit and an alarm and feedback system, and is characterized in that the sensor module comprises a video monitoring camera, an environment sensor (such as a temperature sensor, a humidity sensor, a vibration sensor and a noise sensor), a laser radar and a gas detection sensor; the system is used for collecting multi-dimensional data along the railway, the safety monitoring efficiency and the early warning capability of the environment along the railway are remarkably improved through the application of the system, and high efficiency of informatization management and hidden danger rectification is achieved. Through an intelligent recognition algorithm, the system can automatically detect and recognize potential safety hazards along the railway, the dependence on manual inspection is reduced, and the emergency response speed and optimization of resource allocation are improved. In addition, the data storage and history backtracking functions of the system support long-term data analysis, and continuous improvement of railway safety management is facilitated.

The invention discloses an aviation virtual-real joint platform construction system and method based on digital twinning and a platform, and relates to the field of aviation virtual-real joint platform construction. The aviation virtual-real combined platform construction system comprises a virtual model construction module, a physical attribute simulation and rule setting module, a platform visualization module, a virtual mapping module, an operation state monitoring model construction module, a performance evaluation module and a state prediction module. The aviation virtual-real joint platform comprises a perception transmission layer, a data layer, a service layer and an application layer. The sensing transmission layer collects data through various sensors and transmits the data to the data layer through big data, the Internet of Things and cloud service; the data layer comprises a static database. According to the aviation virtual-real combined platform established by the invention, potential faults and performance reduction can be found in advance through real-time monitoring and predictive analysis, so that preventive measures are taken, and the performance and reliability of an aircraft are improved.

The utility model belongs to the technical field of guitars, and discloses a guitar shell, which comprises a guitar body and a guitar neck, the guitar body is connected with the guitar neck through a fixing bolt, a positioning assembly is arranged on the guitar neck at a position corresponding to the fixing bolt, and the positioning assembly comprises a fixing shell fixed on the guitar neck. Two springs which are symmetrically arranged up and down are arranged in the fixed shell, movable plates are connected to the ends, away from each other, of the springs, movable rods are connected to the sides, away from the springs, of the movable plates, the ends of the movable rods penetrate through the fixed shell and are connected with sawtooth plates, and the positioning assemblies can effectively limit displacement and rotation of the fixed bolts; according to the guitar, the connecting stability of the guitar body and the guitar neck is greatly enhanced, the loosening frequency of the fixing bolt is reduced, the times of checking and fastening the bolt by a player are reduced, the maintenance time and energy are saved, meanwhile, guitar performance reduction caused by loosening of the bolt is avoided, the service life of the guitar is prolonged, and the maintenance cost is reduced.

The utility model relates to the technical field of municipal engineering, in particular to a construction warning device which comprises a base used for installing a stand column, moving wheels capable of pushing the device are installed at the bottom of the base, and the construction warning device can easily move in a construction site, so that the position of a warning area is rapidly adjusted to adapt to construction progress and site changes. A supporting mechanism for reducing the pressure of the moving wheels is installed on the side portion of the base, extra stability and strength can be provided, the device is more stable, and meanwhile the pressure of the device on the moving wheels is reduced. A connecting mechanism is slidably connected to the stand column, a mounting groove matched with the connecting mechanism is formed in the top of the stand column, a reinforcing mechanism for reinforcing the protection effect of the guardrail device is mounted on the connecting mechanism, and a fixing cap is inserted into the top of the stand column, so that the device is convenient to mount and dismount and can be repeatedly used in different construction sites; the working efficiency is improved, and meanwhile inspection and maintenance are facilitated.

The utility model provides an oxygen lance lifting device, which is arranged above an oxygen inlet of a converter, and comprises a bracket, an oxygen lance lifting device and an oxygen lance lifting device, the oxygen lance trolley is connected to the support, and an oxygen lance capable of moving along the longitudinal track is arranged on the oxygen lance trolley; the lifting driving mechanism is provided with a winding drum arranged at the end part of the bracket, a driving rope group and a counterweight rope group which are used for driving the winding drum to rotate in opposite directions are wound on the winding drum, the free end of the driving rope group is connected with the oxygen lance, and the free end of the counterweight rope group is connected with a counterweight block. The oxygen lance lifting device can solve the problems that an existing oxygen lance lifting device is complex in accident lifting structure and unstable in function.

The present invention belongs to the technical field of abnormality identification, and discloses a substation abnormality identification system and identification method based on machine learning; the system comprises: collecting insulation parameters, temperature data and electrical parameters of transformers, combining machine learning models to evaluate the health status of equipment, and then using Actor-Critic algorithm to train a reinforcement learning model, which considers factors such as equipment status and resource status, and makes decisions in an action space including equipment selection, detection degree, personnel scheduling and frequency adjustment to balance detection effect, resource utilization and cost control.

The embodiment of the invention discloses a power transmission line section division method and device, equipment and a medium, and the method comprises the steps: obtaining the hidden danger data and position information of each tower in a power transmission line in a preset range, and enabling the hidden danger data to be the occurrence frequency of each hidden danger type in each tower in a preset time; determining comprehensive weight information of each hidden danger type according to the hidden danger data; determining a hidden danger score of each tower according to the comprehensive weight information and the hidden danger data; and according to the position information and the hidden danger score of each tower, dividing the power transmission line in the preset range into a plurality of sections. By considering the hidden danger data of each tower, potential safety risks can be identified more accurately, and high-risk sections are divided, so that targeted maintenance and repair measures are taken, and the possibility of accidents is reduced. Moreover, reasonable section division is beneficial to optimizing resource allocation, it is ensured that the key area is monitored and maintained more frequently, and the overall safety of the power transmission line is improved.

The invention discloses a method for detecting the leakage position of a heating pipeline based on a smart ball and sound wave positioning, relates to the technical field of pipeline leakage detection, and solves the technical problem that the design of a robot in the prior art cannot cope with a complex pipeline structure. The invention puts a smart ball with the same density as that of a liquid in the heating pipeline into the heating pipeline, and arranges a plurality of sensors and a sound wave generating system in the smart ball to collect the smart ball data of the smart ball in a flow process in real time, and collects the sound wave data emitted by the smart ball in real time through a sound wave sensor arranged outside the pipeline. The abnormal time of the change is obtained according to the smart ball data and the pipeline diagram, and the corner time is calculated. The change corresponding to the change time is compared with the change when the smart ball passes the corner to obtain the abnormal change time. The leakage position is obtained according to the abnormal sound wave data corresponding to the abnormal change data, and the specific position of the leakage can be directly determined.

The invention relates to the technical field of early screening of osteoporotic compression fracture, and provides an osteoporotic compression fracture screening method based on a multi-modal large language model. A multi-modal large language model is introduced to carry out quantitative evaluation on key functions such as posture alignment, motion coordination and pain-related reactions of a patient from images and videos, and the key functions are output in a standardized scoring form, so that structural features with clear clinical significance are automatically extracted. And constructing a machine learning model based on the above structured features, evaluating the OVCF occurrence risk, and determining key discriminant factors and the action direction thereof in combination with an SHAP feature contribution analysis and decision tree visualization method, so as to realize interpretable expression of the prediction process. The technical scheme which is safe, low in cost, explainable and easy to popularize is provided for early screening of the OVCF, and the method is suitable for various application scenes such as community and home screening.

The utility model relates to the technical field of digital exhibition stands, and discloses an exhibition digital exhibition stand which comprises a bottom plate, an exhibition stand body is fixedly mounted at the top of the bottom plate, connecting rods are arranged at the four corners of the top of the exhibition stand body, mounting frames are arranged between every two adjacent connecting rods, and scraping plates are fixedly mounted at the tops of the multiple mounting frames. Water receiving boxes are arranged at the tops of the multiple scraping plates correspondingly, and clamping mechanisms are arranged at the two ends of the mounting frame correspondingly. By arranging the clamping mechanism, the mounting frame can be quickly mounted and dismounted, a worker can conveniently check and maintain the exhibition stand body, when a fault occurs, the mounting frame can be quickly dismounted, internal parts can be replaced, the maintenance time is shortened, the working efficiency is improved, meanwhile, storage and transportation are facilitated, and the occupied space and the transportation cost are reduced; and by arranging the water receiving box, water stains cleaned by the cleaning sponge can be cleaned, and the situation that the service life of the cleaning sponge is shortened due to the fact that the water stains fall onto the cleaning sponge downwards is prevented.

The invention relates to the technical field of data processing and tumble detection, and discloses a method for reproducing a tumble injured part of an old person. The method comprises the following steps of: wearing a Bluetooth sensor on key parts of a wearer, determining the distance between key points by adopting an RSSI (Received Signal Strength Indicator) distance measurement method in which every two key points are mutually reference points, determining a coordinate range of the key points by utilizing an optimization algorithm, wearing an inertial sensor on the waist of the wearer, judging the basic posture of the wearer, and determining the coordinates of the key points in combination with the coordinate range of the key points; and then drawing a key point graph before and after falling, and analyzing the injured part according to the key point graph. According to the invention, the coordinate positions of the key points of the body before and after falling can be reproduced, so that the falling injured part of the elderly can be speculated, favorable reference is provided for determining examination items, unnecessary examination is reduced, and the elderly can be treated and cured more timely.

The utility model relates to agricultural seeding equipment, and relates to the field of agricultural machinery, and the agricultural seeding equipment comprises a rack, a soil turning shovel is arranged on one side of the rack, a soil conveying assembly is arranged on the rear side of the soil turning shovel, a vertically arranged discharging disc is arranged on the upper side of the soil conveying assembly, a water spraying assembly is arranged between the soil conveying assembly and the discharging disc, the discharging disc is rotatably connected with the rack, and a hopper is arranged on the upper side of the discharging disc; a soil pressing assembly is arranged on the side, away from the soil turning shovel, of the soil conveying assembly. The device has the advantages that soil in front of farmland equipment is shoveled by a soil turning shovel, the soil moves to a soil conveying assembly along the soil turning shovel, seeds in a hopper are transferred into the soil on the soil conveying assembly by a discharging disc, and meanwhile, a water spraying assembly sprays water to the soil and conveys the soil backwards along with the soil conveying assembly; the soil and the seeds are properly extruded by the soil pressing assembly, so that operations such as soil breaking, sowing, watering and soil covering are performed in sequence, and the effect of reducing subsequent inspection and redundant operations of operators is further achieved.

The utility model relates to the related technical field of hospital nursing, in particular to an infusion bottle rack for hospital nursing, which comprises a connecting ring, a detector, a supporting rod, a weighing device, a clamping hook and a voice prompter. According to the infusion bottle rack for hospital nursing, the efficiency of nursing work is improved, in a traditional mode, a nurse needs to inspect a patient at regular time and manually judge the remaining amount of an infusion bottle, the mode is time-consuming and prone to making mistakes, through combination of the infusion bottle rack and infusion bottle remaining amount detection, the nurse can master the accurate remaining amount of the infusion bottle in real time, and therefore the medicine changing time is reasonably arranged, and the nursing efficiency is improved. In addition, from the perspective of patient experience, the application of the technology also greatly improves the medical treatment feeling of the patient, and the patient can have a better rest in a quiet environment, so that the rehabilitation process is accelerated, and meanwhile, the rehabilitation effect of the patient is improved. And the patient and family members can be helped to know the treatment progress through timely allowance prompt, so that worries and confusion on the dosage of the medicine are eliminated.

The present invention provides a detection method and system for the inside of a switch cabinet based on defect reconstruction technology, which relates to the field of defect detection technology, including obtaining a cross-sectional boundary temperature curve at the position of the highest temperature point, and using the cross-sectional boundary temperature curve as the temperature input for defect reconstruction and positioning; using a multi-layer equivalent analysis module for processing, and using a multi-layer rectangular parallelepiped structure model as a model input for defect reconstruction and positioning; simulating defects occurring during material manufacturing to obtain prior information on material defects; obtaining preliminary positioning information on potential defects inside the switch cabinet; using known quantities to correct the result value of the piecewise polynomial singular value truncation decomposition method to obtain a corrected result; determining the reconstruction and positioning result of the defect inside the switch cabinet, and clarifying the location and type of the defect based on the reconstruction and positioning result. The beneficial effects of the present invention are to improve the intelligent level of defect detection and realize comprehensive monitoring and management of complex engineering structures.

The utility model relates to a kind of equipment for chip fixture defect detection, including bottom plate, the bottom plate upper end is equipped with chip fixture detection tooling platform, the left side of the bottom plate upper end is equipped with chip fixture detection tooling platform front end and locates the chip fixture detection tooling platform front end and locates the right side and is equipped with at least two placing box, the bottom plate upper end is located above chip fixture detection tooling platform and is respectively provided with front transverse transmission platform and rear transverse transmission platform from front to back, the front transverse transmission platform is equipped with the lifting transfer device that can be moved up and down, the rear transverse transmission platform is equipped with D laser detection device.The utility model realizes more efficient, more accurate defect identification and control, to comprehensively improve the intelligent level of production line and product quality stability.

The utility model discloses a glue brushing type asphalt damping plate production device. The glue brushing type asphalt damping plate production device comprises a calendering system, an embossing device, a glue coating system, a film covering device and a forming system which are arranged in sequence. Due to the arrangement of the calendaring scrapers, the damping plate sheets can smoothly enter the water-cooling conveying belt, and roll sticking is prevented; the gluing scraper which can be freely arranged and adjusted within the stroke range is adopted, the gluing requirements of damping plates with different glue layer thicknesses are met, meanwhile, a glue groove upper and lower proximity switch and a compression roller driven by an air cylinder are arranged, and continuous supply of glue and effective and rapid transfer of glue layers are guaranteed; a tension roller is arranged at the front section of the film laminating roller and is used for tension adjustment and constant-tension unwinding of the isolating film, the problems of edge collapse, folding marks, wrinkles and the like in the unwinding process are avoided, and effective attachment of the isolating film and an adhesive layer is guaranteed; due to the arrangement of the multiple sets of tensioning rollers, inspection in the production process can be reduced, linear speed matching can be met, and the problem that the damping plate is excessively loosened or tensioned in the continuous traction conveying process is solved.

The invention provides a nail-shaped lingual cyst positioning device. The nail-shaped lingual cyst positioning device is characterized by comprising a tailorable hose and a developing agent injection part, wherein the developing agent injection part and the tailorable hose are of a detachable structure; two end parts of the developer injection part are provided with limiting bulge structures; the diameter of the limiting protrusion structure is larger than that of the tailorable hose. The developer injection member is also provided with a developer injection part. The device is simple in structure, deformable, convenient to use and capable of being effectively applied to relation identification of lumps and thyroid tissues.

The invention belongs to the technical field of chip packaging, and particularly relates to a double-face BGA packaging structure which comprises an upper shell, a lower shell is welded to the bottom of the upper shell, a plurality of upper welding balls are evenly welded to the top of the upper shell at equal intervals, and a plurality of lower welding balls are evenly welded to the bottom of the lower shell at equal intervals. An anti-alignment device is arranged on the inner wall of the upper shell and comprises a plurality of vertical plates, and the vertical plates are all connected to the inner wall of the upper shell in a clamped mode. The problems that in the structure, during inspection after BGA welding, the upper and lower positions of the solder balls of the upper pin and the lower pin are aligned and overlapped, whether welding of the upper and lower pins has problems cannot be observed through X-ray inspection, welding quality and electrical faults cannot be detected, subsequent quality control is affected, and production efficiency is reduced are solved. Therefore, errors and complexity of repeated checking are reduced, and checking efficiency and accuracy are improved.

The utility model provides an asphalt damping plate leftover material conveying device which comprises a first conveying assembly and a second conveying assembly. The first conveying assembly comprises a first conveying belt arranged on a first driving roller and a first driven roller in a sleeving mode. The second conveying assembly comprises a second conveying belt arranged on a second driving roller and a second driven roller in a sleeving mode. The first conveying belt and the second conveying belt make contact with each other, the conveying directions and the conveying speeds of the contact parts are the same, and a plurality of direction adjusting rollers used for changing the angles of the conveying belts so as to enable the contact sections to be in a multi-angle bending shape are arranged on the contact sections of the first conveying belt and the second conveying belt. By means of the arrangement of the multi-point scrapers, leftover materials are prevented from being attached to the conveying belt in the online conveying process; and meanwhile, the direction adjusting roller set is used for changing the operation angle of the conveying belt, so that the conveying belt is S-shaped to generate clamping force, and effective conveying of leftover materials is guaranteed.

The invention discloses a control cabinet door opening and closing state recognition and control device, which comprises a servo motor, a metal shell, a curved bar, a strong magnet, a guide groove and an industrial camera, and is characterized in that the metal shell is fixed on the inner side of the side wall of a control cabinet; the servo motor is fixed in the metal shell; one end of the curved bar is hinged to the straight bar and then fixed in the metal shell, the other end of the curved bar magnetically attracts a strong magnet, and the servo motor drives the straight bar to drive the curved bar to rotate through external power supply; a guide groove for the strong magnet to move is fixed on the inner side of the cabinet door at the same height as the curved bar; the strong magnet is in sliding contact with the guide groove to drive the cabinet door to rotate; and the industrial camera is fixed on the inner side of the side wall of the control cabinet, is positioned above the curved bar and is responsible for collecting a sample of the curved bar. Opening and closing control of the cabinet door is achieved through simple mechanical components, the cabinet door opening and closing state is detected in real time through the mapping relation between the bent lever angle and the cabinet door opening and closing, and various emergency environments are dealt with.

This utility model discloses a drone-mounted photovoltaic panel cleaning device, comprising a drone, a drone hanger mounted on the bottom of the drone, and a cleaning device mounted on the bottom of the drone hanger. The cleaning device includes a main pipe and branch pipes, with the branch pipes distributed on both sides of the main pipe and fixedly connected to the bottom of the drone hanger. A ducted fan is installed at the front opening of the main pipe, and a liquid container is installed at the top front of the main pipe. A downward-spraying atomizing nozzle is installed at the end of the branch pipe furthest from the main pipe. This utility model, by using a drone mounted on a cleaning device for cleaning and maintaining photovoltaic equipment, can reduce the large amount of travel required for traditional manual inspections, thereby reducing carbon emissions. Simultaneously, the drone can quickly inspect and clean flexible photovoltaic power stations in mountainous areas, significantly shortening the inspection and maintenance cycle and improving work efficiency.

The invention belongs to the technical field of equipment mounting, and provides an anti-cracking method for a welding seam of a mounting base of a vertical speed reducer of a crane, which comprises the following steps of: welding a reinforcing block and an auxiliary block at an easily-cracked welding seam of a longitudinal rib plate of the mounting base of the vertical speed reducer and a steel plate of a trolley body; the reinforcing block is welded between the positioning plate of the mounting base and the trolley body steel plate and located at the top of the longitudinal rib plate; the auxiliary block is welded between the positioning plate of the mounting base and the trolley body plate and located on the side, away from the reinforcing block, of the foundation bolt. According to the mounting base, the positioning plate of the mounting base of the vertical speed reducer is reinforced, so that welding seams prone to frequent cracks are welded firmly and reliably, the spot inspection and maintenance workload of maintenance personnel is reduced, safe operation of the vertical speed reducer is guaranteed, and smooth production is guaranteed.