10924 results about "Fan blade" patented technology

The invention relates to the technical field of fan blade fatigue damage prediction. The invention provides a fan blade fatigue damage prediction method and system. The method comprises the following steps: constructing a coupling finite element model based on blade anisotropy parameters; blade surface three-dimensional strain field data, blade vibration acceleration signals, environment temperature and humidity and wind speed and direction data are obtained in real time, and a multi-dimensional monitoring data set is constructed; based on the multi-dimensional monitoring data set, nonlinear coupling features of all the load components are extracted, a multi-dimensional feature tensor is obtained, and a reference stress field matched with the current working condition is generated; inputting the multi-dimensional feature tensor and the reference stress field into a bidirectional long-short-term memory network, and establishing a data-physics combined driven damage evolution model; and positioning a damage area based on a damage probability distribution diagram output by the damage evolution model. The problems that in the prior art, prediction errors are obvious, sensitivity to early damage is insufficient, the false alarm rate is high, and accurate positioning of the damage position and quantitative prediction of the residual life are difficult to achieve are solved.

A high-speed wind-gathering booster fan is provided. The high-speed wind-gathering booster fan includes a housing. An air duct is arranged inside the housing. A motor base is arranged at an axis of the air duct. Part of a circumferential wall surface of the motor base extends radially outward to form guide vanes. The air guide vane includes a parallel part and a torsional wind cutting part. The parallel part is close to the side of an air outlet. The parallel part is in parallel with an axis of an air outlet. The torsional wind cutting part is close to the side of an air inlet. The torsional wind cutting part is deviated from a plane where the parallel part is. An extension surface of the torsional wind cutting part is axially intersected with a wind-deflecting fan blade set.

Disclosed is a multifunctional outdoor fan. The multifunctional outdoor fan includes a fan base, a fan support, and a fan head. The fan head is provided with a rotating shaft, fan blades mounted on the rotating shaft, and a fan grille mounted outside the fan blades. The fan grille is provided with a water tank, the water tank is provided with a water injection port, and the water injection port is connected to a water tank cover. The rotation shaft is provided with an atomization assembly, the atomization assembly is in communication with the water tank through a water tube, the water tank supplies water to the atomization assembly through the water tube, and the atomization assembly is provided with an atomization port.

The invention discloses a fan blade state monitoring method based on multi-sensor fusion, relates to the technical field of wind power, and is suitable for wind energy prime mover equipment manufacturing and blade state monitoring technologies of onshore and offshore wind generating sets. The method comprises the following steps: acquiring operation data, a vibration signal, an acoustic signal and a pulse signal of a fan; the current working condition state of the fan is recognized, common-mode fault verification, local damage positioning and transient stress damage analysis are carried out on the vibration signals and the acoustic signals, and a fault analysis result and a first damage analysis result are obtained; performing phase-locked amplification analysis on the vibration signal and the acoustic signal through active excitation to obtain a second damage analysis result; and finally, a comprehensive state monitoring report of the fan blade is generated, so that the problems of difficulty in identification of weak damage and high false alarm rate of blades of land and offshore wind generating sets in wind energy prime mover equipment manufacturing under a non-stable working condition are solved, and the equipment operation and maintenance intelligent level in the wind energy prime mover equipment manufacturing industry is effectively improved.

The invention relates to the technical field of fan defect detection, in particular to a fan blade inspection method based on an unmanned aerial vehicle, which comprises the following steps: acquiring static basic data of a fan; constructing a blade reference model based on the static basic data of the fan, and collecting dynamic vibration response data according to a preset short-time dynamic vibration excitation rule; identifying a blade high-risk area according to the dynamic vibration response data, and generating a layered surrounding route in combination with a blade reference model; the unmanned aerial vehicle is controlled to collect blade multi-angle images according to the layered surrounding route, the blade multi-angle images are processed to recognize surface defects, and visual confidence is generated; and mapping the dynamic vibration response data to a blade reference model by using a space-time alignment model, extracting power spectral density characteristics of corresponding positions, calculating a damage index by fusing visual confidence, and outputting an inspection report. The objective of the invention is to solve the technical problem that blade internal damage is difficult to identify in a static inspection mode.

A misting fan includes a fan assembly and a misting assembly. The fan assembly includes a fan housing and a fan blade assembly. The fan housing includes an air inlet guard and an air outlet guard. The air outlet guard includes a mist outlet portion and air outlet vanes, the mist outlet portion includes a mist outlet hole and air outlet holes. The misting assembly includes an atomizing member and a water tank. The water tank includes a main tank body, at least one water delivery pipeline, and an atomizing portion. Liquid in the main tank body is provided to the atomizing member through the at least one water delivery pipeline and the atomizing portion, thereby enabling the atomizing member to spray mist spray formed by atomizing the liquid from the mist outlet hole, and outlet airflow is arranged around the mist spray.

The invention relates to the technical field of fan monitoring, and discloses a fan blade icing monitoring method and system, computer equipment, a medium and a product, the method comprises the following steps: collecting multi-source data, the multi-source data comprising data of a plurality of sensors arranged at preset positions of a fan blade, environmental meteorological data and fan operation data; fusing the multi-source data, and performing feature extraction on the fused data to obtain a comprehensive feature vector; monitoring the icing condition of the current fan blade based on the comprehensive feature vector and a preset deep learning model to obtain icing condition information; and performing early warning on the icing state of the fan blade based on the size relationship between the icing condition information and a preset threshold value. Through organic combination of multiple advanced technical means such as multi-source data fusion, deep learning, icing condition information prediction and early warning of the icing state of the fan blade, the problem of low accuracy of icing monitoring of the fan blade in a complex environment in the prior art is effectively solved.

The invention relates to the technical field of fan blade deicing, and discloses an intelligent temperature control type fan blade electric heating deicing control system and method, and the system comprises a meteorological sensing module which is used for collecting the environment temperature, humidity, wind speed and rainfall type; the blade state monitoring module is used for acquiring blade surface temperature distribution and ice layer thickness data; the dynamic decision-making module is used for generating a partition heating instruction based on the data of the weather sensing module and the blade state monitoring module; the temperature control execution module is used for converting the instruction into a gradient signal; the heating array module is used for executing electric heating deicing operation in the blade surface subareas; and the energy coordination module is used for dynamically constraining the total power of the system. The meteorological sensing module and the blade state monitoring module are integrated through the system, real-time collection and fusion of multi-source data of blade surrounding environment parameters and the thickness of an ice layer are achieved through the design, comprehensiveness and accuracy of icing monitoring are improved, a reliable basis is provided for dynamic decision making, and therefore the response capacity and early warning precision of the system to icing risks are improved.

A fan light is provided, including: a central assembly, which includes a housing and a control mechanism mounted inside the housing, where the housing can be connected to an external mounting structure; a fan blade assembly, which is detachably in pivotal connection to the control mechanism; and a lamp frame assembly, which includes a connector connected to the housing, and a first lamp frame and a second lamp frame that are connected to the connector. The first lamp frame and the second lamp frame are configured to have a first state of being rotatably unfolded relative to the connector and surrounding the fan blade assembly, and a second state of being rotatably folded relative to the connector. The fan light can conveniently switch states and is convenient for storage and transportation, and damage is avoided. Meanwhile, difficulty of operations cannot be increased.

The invention provides a multi-airfoil combined axial flow fan blade design method and system based on CST parameterization, and relates to the technical field of axial flow fan blade optimizing.The multi-airfoil combined axial flow fan blade design method comprises the following steps that S1, a plurality of characteristic sections are arranged in the radial direction of a blade, and the airfoil corresponding to each characteristic section is determined; s2, geometric modeling is conducted on the airfoils of all the characteristic sections through a CST parameterization method, and description parameter sets corresponding to all the airfoils are obtained; s3, performing aerodynamic performance simulation on the airfoils through the description parameter group to determine the attack angle of each airfoil; s4, the airfoils are combined at the corresponding attack angles, smooth transition cambered surfaces are generated between the airfoils, and an initial blade model is obtained; and S5, optimizing the initial blade model to obtain a target blade model by adjusting the description parameter group of each airfoil by taking the maximization of the lift-drag ratio as a target. Compared with a traditional single arc thin plate blade profile design, the pneumatic performance of the blade is more optimized, and the problem that a single blade profile is difficult to cope with complex pneumatic conditions where different sections are located is effectively solved.

The invention relates to a capsule for a pneumatic rabbit system to produce medical isotopes, which comprises a capsule shell, a plurality of hemispherical limiting blocks, a heat dissipation hole channel, an isotope target fixing structure, an annular driving fan blade and a target cabin, the positioning device is used for being matched with a limiting groove in the end of a conveying pipeline in the pneumatic rabbit system for positioning. The heat dissipation hole channel penetrates through the capsule shell in the radial direction and is in a circular truncated cone shape, and the diameter of the front end of the heat dissipation hole channel is smaller than that of the rear end of the heat dissipation hole channel. The isotope target fixing structure is arranged inside or on the surface of the capsule shell; the annular driving fan blade is composed of a plurality of fan-shaped fan blades, and the fan-shaped fan blades are annularly distributed in the heat dissipation hole channel; the isotope target fixing structure and the annular driving fan blade are arranged in a staggered manner; the target cabin is fixedly connected to the isotope target fixing structure and is used for sealing the isotope target. The capsule can achieve posture balance and self-positioning in the pneumatic transmission process, and has efficient heat dissipation performance.

The invention belongs to the technical field of fan damage detection, and particularly discloses an unmanned aerial vehicle-based offshore fan blade damage detection system, which comprises a detection partition determination module, an unmanned aerial vehicle acquisition control module, a damage image acquisition module, a fan damage analysis module and a fan damage feedback terminal. According to the method, the damage point and the blade area are positioned through preliminary cruising of the unmanned aerial vehicle, and the fan array is divided, so that the dilemma that a traditional detection mode is easily interfered in an offshore high-wind-speed environment is changed, and the complicated offshore environment can be flexibly coped with; meanwhile, the shooting distance and the shooting time point of the unmanned aerial vehicle are adjusted by combining the space coordinates of the damage point, the real-time blade rotating speed and the real-time offshore wind condition to generate a shooting parameter instruction, so that the limitation and the monitoring dead angle limitation of traditional fixed-view-angle monitoring are broken through; and finally, crack analysis of different depth layers is carried out on the optical image and the ray image, so that the damage degree can be evaluated more comprehensively and accurately.

A gas turbine engine includes: a turbomachine comprising a drive turbine and defining a working gas flowpath and an inlet to the working gas flowpath; a fan having a fan blade formed of a composite material, the fan blade defining a leading edge fan radius RFan_LE and a trailing edge fan radius RFan_TE, and the fan defining a leading edge hub radius RHub_LE and a trailing edge hub radius RHub_TE, the gas turbine engine defining a bypass ratio during operation of the gas turbine engine in a cruise operating mode; and a reduction gearbox mechanically coupling the drive turbine of the turbomachine to the fan; wherein the gas turbine engine defines a Fan Leading Edge to Trailing Edge Compression Factor (FLTCF) greater than or equal to 1.05 and less than or equal to 1.8.

The invention discloses a fan blade clearance intelligent monitoring method based on multi-modal fusion. A laser radar and a visual sensor are adopted to collect point cloud data and image data of the fan blade; environment parameters are collected, validity judgment is conducted on the point cloud data and the image data of the fan blade according to the environment parameters, and radar monitoring data and visual monitoring data are obtained; modeling the fan blade according to the radar monitoring data to obtain a three-dimensional model of the fan blade, and further obtaining a radar measurement value of the blade clearance according to the three-dimensional model of the fan blade; performing image segmentation, edge extraction and depth estimation on the visual monitoring data in sequence to obtain a visual measurement value of the blade clearance; and the radar measurement value and the vision measurement value of the blade clearance are combined, and a multi-modal fusion algorithm is adopted for processing to obtain the fusion clearance distance of the fan blade. The accuracy and real-time performance of fan blade clearance monitoring are remarkably improved, blade collision accidents can be effectively prevented, and reliable guarantee is provided for safe operation of a wind turbine generator.

The invention provides an aerodynamic geometry co-evolution fan blade intelligent generation system, and relates to the field of fan blade design, and the system comprises an aerodynamic geometry co-evolution module which constructs a blade geometric model in a unified high-dimensional space, generates a coupling performance field in real time, responds to disturbance, updates the performance field, and feeds back index changes; establishing a performance target balance path by adjusting disturbance; a manufacturing constraint processing module identifies a non-adjustable area to construct a tension avoidance ring, limits the approach to a path and redirects the path; the precipitation feedback module monitors and recognizes lag signal storage, remaps the lag signal to a structural area in a static and stable state and applies a correction coefficient to intervene in subsequent evolution; the mutual exclusion coordination center module establishes a conflict detection mechanism, judges conflicts based on a label atlas and executes a dislocation locking scheduling feedback chain; the potential state coordination module constructs a graph based on historical data to pre-judge a future conflict path, pre-locks a conflict mechanism and guides construction of an alternative path to form a non-concurrent dislocation execution model.

The invention discloses a primary and secondary fusion ring main unit with an anti-condensation function, and relates to the technical field of outdoor ring main units, the primary and secondary fusion ring main unit comprises a ring main unit body, the left side of the ring main unit body is provided with a protective net, the inner side of the protective net is provided with a heat dissipation assembly and a dust removal assembly which are fixedly connected with the ring main unit body, and the rear side of the heat dissipation assembly is provided with a dehumidifier; the right side of the ring main unit body is provided with an air outlet, the rear side of the ring main unit body is provided with a drainage hole, the heat dissipation assembly comprises a fixed plate A, the front of the fixed plate A is rotatably connected with four fan blades, the four fan blades are divided into two groups, and the two groups of fixed plates A are distributed left and right, the dust removal assembly comprises a fixed plate B, and the fixed plate B is fixedly provided with a fixed plate. And baffle plates are arranged on the left and right sides of the fixed plate B. The interior of the ring main unit body is dehumidified through the dehumidifier, and when a relatively large temperature difference occurs between the interior and the exterior of the ring main unit body, the phenomenon that the interior of the ring main unit body is condensed and flashover and creepage accidents occur in the ring main unit body is prevented.

The invention discloses a fan blade inspection system and method based on an unmanned aerial vehicle, and relates to the technical field of fan blade inspection, and the method comprises the following steps: a priority analysis module constructs a health scoring model through collecting the historical inspection data and working data of each fan blade of a wind power plant, generates a health priority queue, and sends the health priority queue to an unmanned aerial vehicle; the inspection target determination module selects inspection fans to form a target set according to the initial endurance distance and the health priority queue of the unmanned aerial vehicle, the inspection route planning module plans an inspection route based on the target set in combination with fan space distribution, and the blade defect detection module controls the unmanned aerial vehicle to inspect according to the planned route, collects image data and identifies defects. And the real-time target adjustment module analyzes the fans with defects, determines an associated detection field, adds the fans which are not inspected to a target set, and regenerates an inspection path, so that all inspection tasks are completed, and the flexibility of the inspection tasks and the resource utilization efficiency are improved.

The invention relates to the technical field of air conditioner fan blade design optimization, and discloses an air conditioner fan blade optimization method and system based on a BP neural network and a GA algorithm. The method comprises the following steps: obtaining initial geometric parameters and performance data of a fan blade, and cleaning and standardizing the initial geometric parameters and the performance data to form a standard data set; a BP neural network is used for training to obtain a fan blade performance prediction model; a genetic algorithm is applied to optimize the prediction model, and a new design parameter population is generated through genetic operations such as selection, crossover and variation; the optimized parameters are input into a CAD system to generate a candidate fan blade model, numerical simulation is carried out, and performance indexes of the candidate fan blade model are calculated; and screening excellent individuals based on a multi-objective optimization method, iteratively executing optimization and simulation processes until convergence, and finally outputting an optimal fan blade design. According to the method, the fast prediction of the neural network and the global search capability of the genetic algorithm are combined, the dependence of traditional optimization on high-frequency numerical simulation is reduced, and the design efficiency and quality are improved.

The invention relates to the technical field of environmental air detection, in particular to an environmental air quality detection device and a detection method thereof.The environmental air quality detection device comprises a base, and a case is fixedly mounted at the top of the base. Through the dual protection mechanism of the air inlet mechanism and the cleaning module, the air quality detection accuracy can be effectively guaranteed, in the specific detection period, induced draft fan blades rotate forwards to form negative pressure to suck air, an exhaust window assists in exhausting air, it is ensured that airflow is stable, and after a detection task is completed, an automatic cleaning program of the air inlet mechanism is started; the cleaning frame and the front cleaning group cooperatively operate to scrape dust on the inner walls of the induced draft fan blades and the air inlet pipe and prevent residual dust from falling off and being mixed into air in subsequent detection, meanwhile, the cleaning module continuously sprays, and under the action of countercurrent air driven by reverse rotation of the induced draft fan blades, cleaning liquid fully covers the air inlet pipe and the induced draft fan blades and dissolves dust and oil stains, so that secondary pollution is avoided; and air entering the case is ensured to be clean, so that real and reliable detection data is ensured.

The invention relates to an electric duct driving system integrated with a heat dissipation function and an aircraft, the aircraft comprises the electric duct driving system, the electric duct driving system comprises a casing, an electric driving assembly and a heat dissipation pipeline, a fan is arranged in the casing, and the electric driving assembly is in transmission connection with the fan and used for driving fan blades of the fan to rotate; the heat dissipation pipeline is arranged on the outer surface of the casing and provided with a cooling liquid inlet and a cooling liquid outlet, one part of the heat dissipation pipeline is connected to the outer surface of the casing, one end of the heat dissipation pipeline is connected to the cooling liquid outlet, and the other end of the heat dissipation pipeline is connected to the cooling liquid inlet, so that the electric duct driving system can utilize structural parts (namely the casing and the fan) of the electric duct driving system as components for heat dissipation; therefore, a heat management system does not need to be installed, the structure of the electric duct driving system is greatly simplified, the risks of system weight increment and part failure caused by the adoption of a centralized liquid cooling system are effectively reduced, the energy consumption of the whole machine is also effectively reduced, and the cruising ability of the aircraft is improved.

The invention belongs to the technical field of single crystal growth equipment, and particularly relates to a seed crystal clamping assembly, in particular to a seed crystal pulling assembly, a silicon carbide single crystal growth device and a use method of the silicon carbide single crystal growth device. The seed crystal lifting assembly comprises a lifting rod and a lifting rod, a rotating head; wherein a cavity is formed in the wall body of the rotating head, and a groove is formed in the middle of the rotating head; and fan blades are fixedly arranged in the grooves. The fan blades are arranged in the rotating head, the unique airflow channel is designed, the lifting rod rotates to drive the fan blades to work, and forced airflow circulation is formed, so that the problem that the radial temperature difference of a crystal growth face is large is solved, back heat dissipation of seed crystals is remarkably improved, and the interface stability of crystal growth is improved. And meanwhile, the growth speed can be directly regulated and controlled in time by adjusting the rotating speed of the lifting rod, so that the growth efficiency and the crystal quality are synergistically improved.

The invention discloses a wind power generation device and system, and the device comprises a main bag body which extends in the front-back direction, and the peripheral surface of the main bag body is a rotary surface; the annular wing is arranged on the radial outer side of the main bag body in a sleeving mode, the annular wing and the main bag body are spaced, and an airflow channel is formed between the inner wall of the annular wing and the outer wall of the main bag body; the airflow channel is divided into a plurality of air channels through components, the air channels are arranged in the circumferential direction of the main bag body, and fan blades are arranged in at least part of the air channels. By means of the coaxial layout of the main bag body and the annular wing and the combination of division of an airflow channel by a component, efficient capture and energy conversion of wind energy are achieved. Compared with a traditional floating power generation device, the wind sweeping area of the fan blades can be remarkably reduced under the same power generation power, the economical efficiency of the wind power generation device is improved, and the technical feasibility of stepping towards a higher altitude and a higher wind energy density area is achieved.

A shooting target launcher, associated components and methods. The launcher spins one or more helicopter-like shooting targets to launch the targets. A target connector receives the targets. The target connector is rotated about an axis of rotation to rotate the targets about the axis of rotation. The targets have fan blades that, when rotated, propel the target through the air.

The invention relates to the field of artificial intelligence and automatic control, and discloses an AI dynamic planning method for a fan adaptive inspection path. The method comprises the following steps: establishing a fan digital twin model containing key points and training an AI model; the unmanned aerial vehicle calls an AI model to calculate the accurate pose of the blade in real time; constructing a multi-target dynamic planning model fusing flight safety, inspection quality and efficiency according to the pose; carrying out online solving by an airborne unit, and dynamically generating an optimal path for the current attitude of the blade; and the path is instantly issued to a flight controller to drive the unmanned aerial vehicle to autonomously fly to collect data so as to complete an intelligent closed-loop inspection task. By fusing AI visual perception, dynamic planning and closed-loop control technologies, full-automatic inspection of the fan blade in any shutdown state is realized, the problems that a preset route is not applicable and the quality of manual inspection is not uniform are solved, and the adaptability, reliability and safety of inspection are remarkably improved.

The invention provides a remote non-contact photo-thermal deicing method for the surface of a fan blade, and the method comprises the steps: carrying out the ice condition data collection of the surface of the fan blade, and obtaining multi-modal data; performing feature recognition on the multi-modal data to obtain ice condition features; constructing a three-dimensional thickness distribution model by combining natural illumination factors based on the ice condition characteristics, and generating a deicing strategy; laser deicing is carried out according to the deicing strategy, and a laser beam is adjusted and controlled through a bee colony focusing algorithm; monitoring the temperature change of the coating on the surface of the fan blade in real time so as to adjust the laser power; and carrying out deicing rate detection on the surface of the de-iced fan blade, and if the deicing rate does not reach the standard, carrying out deicing operation again until the deicing rate reaches the standard. According to the method, through fusion of multispectral imaging, millimeter wave radar, a double-flow neural network and a dynamic environment modeling technology, accurate identification of ice conditions and adaptive laser deicing control are realized, and dependence on natural illumination is removed while energy consumption is reduced.

The invention relates to the technical field of fan blade fault diagnosis, and discloses a fan blade fault diagnosis system and method based on HHT and DBSCAN. Synchronously acquiring vibration signals acquired by a three-axis acceleration sensor and wind speed and rotating speed working condition data acquired by an SCADA (Supervisory Control and Data Acquisition) system; eMD empirical mode decomposition is carried out on the collected vibration signals, the vibration signals are decomposed into a limited number of IMF signals, and effective IMF signals are screened; generating a Hilbert spectrum through HHT, extracting multi-scale frequency band energy features, and fusing SCADA data to carry out working condition adaptive normalization on the features; and then, processing the normalized features by adopting a self-adaptive DBSCAN clustering algorithm based on K-distance map parameters, and realizing fault diagnosis by identifying an abnormal cluster with a sample proportion of less than 5% and combining with a frequency band energy deviation threshold. According to the method, the problems that a traditional method is not thorough in decomposition of non-stationary signals, depends on labeled samples and is insufficient in clustering robustness are solved, and unsupervised and high-precision blade state monitoring is achieved.

The invention discloses a fan defect detection method and system based on machine vision, and belongs to the technical field of image data processing, and the method comprises the steps: obtaining a historical shot image of a fan blade, generating a training data set, building a deep learning network architecture based on a convolutional neural network, and building a fan blade motion recognition model. Carrying out calculation processing by using a dark channel prior algorithm, obtaining a dynamic adjustment weight, training an AOD-Net model based on the dynamic adjustment weight, establishing a fan blade fuzzy correction model, carrying out real-time shooting on the fan blade, and carrying out motion identification correction by using a fan blade motion identification model. The fan blade fuzzy correction model is used for dust fog removal, the defect detection model is established, and the defect detection model is used for defect detection, so that the fan blade moving at a high speed can be accurately identified, the outline details of the fan blade are clear, and the state of the fan blade can be timely and accurately analyzed during defect detection. And the working performance of the fan blade is improved.

The invention provides a gantry type numerical control cutting machine, and belongs to the technical field of laser cutting equipment, the gantry type numerical control cutting machine comprises a cutting base slidably connected with a cross beam frame, and further comprises a laser cutting assembly used for cutting a workpiece, the laser cutting assembly is connected with a water inlet pipe and a water outlet pipe, and one end of the laser cutting assembly is provided with a shell; the conversion assembly is used for adjusting the laser cutting assembly; the power assembly provides power for the conversion assembly; the laser cutting device has the beneficial effects that through linkage of the conversion assembly and the power assembly, automatic switching and idle cooling of the laser lens are achieved, it is ensured that cutting operation is conducted uninterruptedly, through cooperation of the cooling cavity and the heat conduction ring, heat generated by the laser assembly is efficiently taken away, aging of parts is delayed, and air flow is generated through fan blades; a conical air curtain is formed through cooperation of the inner shell and the outer shell so as to block smoke generated in the cutting process, pollution to the laser lens is reduced, and the cleaning frequency is reduced.

The invention discloses an axial-flow type anti-surge control valve, which relates to the technical field of industrial fluid control equipment, and adopts the technical scheme that the axial-flow type anti-surge control valve comprises a valve body, an anti-surge mechanism is arranged at one end in the valve body, the anti-surge mechanism comprises a rotating cylinder and a fan blade overturning assembly, the fan blade overturning assembly is arranged on the rotating cylinder in a sleeving manner, and the fan blade overturning assembly is arranged in the valve body; the fan blade overturning assembly comprises a plurality of fan blades, and the fan blade overturning assembly can adjust the overturning angles of the fan blades in a self-adaptive mode according to the wind pressure; a flow control inner ring is fixedly installed at the other end in the valve body and arranged at one end of the valve clack in a sleeving mode, a flow control outer ring is installed on the outer wall of the flow control inner ring in a sliding mode, a plurality of round holes are formed in the flow control inner ring and the flow control outer ring, and a connecting rod is installed between the flow control outer ring and the fan blade overturning assembly. The double mechanisms are driven to be linked by means of gas pressure change, timely response to sudden flow change is achieved, the stability of the valve is remarkably enhanced, and hysteresis and complexity of a traditional control system are avoided.