212results about How to "Achieve adaptive" patented technology

The invention provides a 5G network intelligent switching management method based on artificial intelligence, and the method comprises the following steps: collecting and processing network related data, and obtaining a network data set; constructing a switching demand prediction model used for predicting network switching time and a target and a switching effect prediction model used for predicting network performance after switching; optimizing the initial switching strategy in combination with reinforcement learning to obtain an optimal switching strategy; deploying a network switching engine model on the edge computing node, and adjusting an optimal switching strategy in real time according to the network environment change; a virtual simulation digital environment is constructed for network simulation, an optimal switching strategy is evaluated according to the simulated virtual network environment, and then a network switching engine model is optimized in real time according to an evaluation result. According to the invention, the intelligent switching decision is realized, the precision and efficiency of the switching decision can be improved, the network adaptability and diversified requirements are enhanced, and the user experience is improved.

The invention discloses a visual detection optimization method and system based on data set classification. The method comprises the steps of introducing a scene classification label and carrying out standardization processing on scene features in a data set labeling and preprocessing stage, and carrying out scene classification multi-task learning in a model selection and training stage, so that a model dynamically adjusts feature learning in different scenes, and the multi-scene adaptive capacity is improved. And in the model evaluation and verification stage, scene-based hierarchical evaluation is introduced and corresponding optimization is carried out. In the model deployment and reasoning stage, a dynamic scene is introduced to adapt to reasoning, and the reasoning path of the model is dynamically adjusted to adapt to the characteristics of the scene, so that the reasoning accuracy is improved. In the later optimization, scene feature clustering and transfer learning are used, and the multi-scene performance of the model is optimized. According to the method, under the condition that the model is not jointly trained through multiple data sets, the multi-scene adaptive capacity of the visual detection model is improved through data set classification.

The invention provides an assembly line fault identification method and system, and belongs to the technical field of assembly line fault identification, and the method comprises the steps: obtaining the multi-mode monitoring data of an assembly line; for the obtained multi-modal monitoring data, fusing the multi-modal monitoring data through a preset data fusion strategy to obtain fused data; wherein the data fusion weights corresponding to different dimensions of data in the data fusion strategy are dynamically adjusted based on the distance between the sensor data; based on the fusion data, a pre-trained space-time adaptive multi-modal analysis network model is utilized to obtain a fault identification result; wherein the space-time adaptive multi-modal analysis network model specifically executes the following processing processes: based on the fusion data, respectively extracting features of the fusion data on different time scales and distribution and relation of the fusion data on a spatial dimension, and obtaining time features and spatial features; and performing dynamic fusion on the time features and the space features to obtain fusion features.

The invention relates to the technical field of time synchronization, and provides a parameter-adaptive multi-sensor network time synchronization method and related equipment, and the method comprises the steps: building a clock model based on the deviation and offset of the local time of each sensor relative to the current moment; constructing an updating formula for updating the drift and offset of the local time of each sensor; constructing a time synchronization parameter adaptive model based on the update formula and all the clock models, and solving the time synchronization parameter adaptive model by using an optimization algorithm to obtain an optimal parameter set; updating the drift and the offset of each sensor by using the optimal parameter set and an updating formula to obtain the final drift and the final offset of each sensor at the current moment; and for each sensor, adjusting the local time of the sensor according to the final drift and the final offset of the sensor, so that the local time of all the sensors is synchronized. According to the method, the accuracy of time synchronization can be improved.

The invention discloses a complex flow force mechanism quantitative analysis method oriented to body-fitted grid CFD calculation, and belongs to the technical field of fluid dynamics analys.The method comprises the steps that firstly, a complex flow aerodynamic load quantitative analysis expression based on Navier-Stokes equation weight function mapping is deduced; a vortex identification method based on threshold value self-adaption, a vortex segmentation method based on a local grid spacing self-adaption-variable density clustering algorithm and a vortex tracking method based on vortex structure position prediction matching are combined, and finally aerodynamic loads generated by induction of all vortex structures are obtained; and carrying out quantitative analysis on the stress mechanism of each local vortex structure oriented to the body-fitted grid CFD calculation result. According to the method, the defects that the vorticity moment theory and other existing complex flow lethal mechanism quantitative analysis methods are difficult to quantitatively analyze the lethal mechanism of a local vortex structure and cannot consider the object surface motion effect, the viscous effect in the pressure boundary, the friction effect and other factor lethal mechanisms are effectively overcome.

The invention discloses a special-shaped trunk self-adaptive whitewashing method, whitewashing system and whitewashing device, and belongs to the technical field of special-shaped trunk whitewashing, and the method comprises the following steps: S1, obtaining a to-be-brushed special-shaped trunk point cloud and a trunk reference model point cloud; s2, the mass center of each point cloud block of the to-be-brushed special-shaped trunk is calculated; s3, determining whitewashing attitude parameters; S31, obtaining a total rotation matrix; s32, the calculated quaternion is converted into a whitewashing posture parameter; s4, a whitewashing path is planned; S41, a discretized segmented B spline curve is constructed, and reachable path point pairs are constructed; and S42, interpolating the reachable path point pairs by using a Bresenham algorithm, and generating a whitewashing path. By adopting the special-shaped trunk self-adaptive whitewashing method, the whitewashing system and the whitewashing device, the self-adaptive whitewashing operation of the special-shaped trunk is realized by determining the whitewashing attitude parameter and planning the path, and the efficiency of the whitewashing operation of the special-shaped trunk is improved.

The invention discloses a CFD calculation method and system based on a neural network and adaptive parameter optimization, and belongs to the technical field of computational fluid dynamics. Initializing a flow field by reading calculation parameters and a grid file; solving the N-S equation, recording solving parameters and outputting an intermediate flow field; inputting the intermediate flow field into a pre-trained physical constraint neural network, sequentially applying boundary condition hard constraint and soft constraint based on control equation residual error, and outputting a corrected flow field; based on the convergence dynamic characteristics and the solving parameters, outputting a parameter adjustment amount through a strategy network of reinforcement learning training, and dynamically optimizing the solving parameters; and taking the corrected flow field as an initial flow field of the next iteration step, updating solving parameters, and circularly executing until convergence. According to the method, the physical prior is embedded into the neural network, intelligent self-adaptive regulation and control of solving parameters are realized through reinforcement learning, and the prediction precision and convergence efficiency of complex flow simulation are remarkably improved.

The invention discloses an adaptive depth prior compressed sensing spectrum reconstruction method and system, and the method comprises the steps: generating a compressed observation image through a forward process of a CASSI system, carrying out the modeling of a compressed observation problem of the CASSI system, and decomposing a to-be-solved optimization problem into two sub-problems: data fidelity and noise reduction; euclidean linear projection is carried out on a two-dimensional compressed observation image generated by a CASSI system, and a pre-training adaptive noise level estimation network is used to carry out dynamic estimation on the noise level of a data item in each iteration process; noise reduction is carried out on a projection result by using a pre-training adaptive noise reduction network, and sliding calculation is carried out on the spatial dimension and the channel dimension of the dimension-raised data by using three-dimensional convolution; and detecting whether the output result is optimal or not by using a self-adaptive iteration stop detector until the self-adaptive iteration stop detector judges that the current reconstruction result is smaller than the tolerance, exiting the loop, and outputting an optimal reconstruction result.

The invention discloses an IGBT module temperature anomaly identification method and device, and the method comprises the steps: obtaining a temperature time sequence, and carrying out the normalization of the temperature time sequence, and forming an original data set; performing time sequence prediction based on the original data set to obtain a prediction value of each moment, and calculating a residual term of the prediction value and an original value in the original data set to form a residual data set; determining a weighted average distance of each residual item according to the K-nearest neighbor point set of each residual item and a preset weighting function; according to a preset value range of the minimum point number, determining an optimal minimum point number by calculating the minimum value of the clustering evaluation index; and performing clustering analysis on the residual data set based on the weighted average distance and the optimal minimum point number, and identifying the abnormal temperature according to a clustering analysis result. The embodiment of the invention does not need to manually set a fixed threshold value, can adapt to temperature changes in different environments and working conditions, and has better flexibility.

The invention discloses a self-adaptive range query filtering method, system and device and a storage medium. The method comprises the steps that each key in an input data set is segmented into a prefix and a suffix, the keys with the same prefix are divided into the same partition, and each partition comprises the number of the prefixes, the number of the suffixes and suffix arrays arranged in an ascending order; a self-adaptive range filter is constructed, in the construction process, coding is carried out with partitions as units, prefixes are inserted into a cuckoo filter, suffixes are inserted into a bridge structure, suffix arrays are continuously and compactly stored according to the sparse degree, and compression processing is carried out; according to the query range, the left boundary and the right boundary are segmented into two prefix-suffix pairs, the corresponding partition is rapidly positioned according to the prefix, range query is executed in the suffix array of the partition, and the suffix meeting the condition is returned. According to the invention, the self-adaptive range query filter based on fingerprints is realized through key segmentation and a specific coding mode, the inclined workload can be adaptively coped, and the query performance is improved.

The invention discloses a deep voice digital watermark streaming embedding and detection method for privacy protection, which effectively isolates user sensitive information and watermark information in voice content based on an end-cloud cooperative processing environment, and simultaneously realizes the beneficial effects of streaming embedding, interval labeling, watermarking counterfeiting prevention, channel robustness and the like. According to the technical scheme, scenes such as voice content copyright declaration and forged sample identification are supported, third-party watermark embedding and detection application is served, and in the whole watermark embedding stage, a server side generates universal watermark data only according to watermark information, so that the leakage risk of user privacy information is avoided. In a detection link, a receiving end user side adopts a third deep neural network to perform desensitization processing on audio content, so that a server side can only deduce existence of watermarks through processed desensitization data, direct contact between original voice data of a user and the server side is isolated, the user privacy protection level is remarkably improved, and the user experience is improved. And the sense of trust between the user and the third-party detection platform is improved.

The invention discloses a curved surface self-adaptive gluing device and a use method, and belongs to the technical field of gluing. In the device, a glue barrel penetrates through a fixed base plate in an up-down moving mode, the lower end of the glue barrel is provided with a glue opening enabling high-viscosity glue liquid to flow out smoothly, and a piston capable of moving up and down is arranged in the glue barrel; the guide wheels are arranged at the lower end of the glue barrel, distributed on the left and right sides of the glue opening and used for being in contact with a coated surface; the floating mechanism is fixed with the rubber sleeve and can be connected with the fixed substrate in an up-and-down floating manner; the glue scraping mechanism is fixed to the fixed base plate, located right behind the glue opening and used for scraping glue in constant-force fit contact with the coated surface. The gluing device is good in gluing quality, high in efficiency, free of damage to the coated surface of a coated component, convenient to use and particularly suitable for curved surface coating and plane coating.

A telescopic control device of an airing rod assembly is characterized by comprising a main airing rod, a movable airing rod, a controller, a clothes detection unit, a driving device and a limiting device connected with the controller; the movable airing rod is telescopically mounted on the main airing rod; the movable airing rod is connected with the driving device and is driven by the driving device to do telescopic movement relative to the main airing rod; the clothes detection unit is arranged on the movable airing rod, is connected with the controller and is used for detecting information of clothes on the movable airing rod; the controller is connected with the driving device and is used for sending a driving instruction to the driving device according to the information of the clothes on the movable airing rod; the limiting device detects whether the movable airing rod is completely stretched or retracted or not and feeds back the result to the controller.

The invention provides a method and a system for regulating and controlling welding current of an inverter resistance welding machine in real time. The method comprises the following steps: welding and acquiring a primary side current signal of a transformer; carrying out segment processing on the current signal of the current cyclic wave; processing and calculating a fast rising section; judging a starting point of a slope section; calculating the target peak current of the slope section; calculating a current cyclic current statistical value; and adjusting the target peak current of the next cycle. Primary side current signals of the inverter type welding machine are collected in real time, segmentation processing and characteristic quantity extraction are conducted on the current signals, the starting point of the slope section is judged, and the target peak current of the slope section is calculated according to a current target value; when the current of the slope section reaches the target peak current, the welding current is cut off; calculating a current statistical value in the current cycle, comparing the current statistical value with a current target value, and adjusting the target peak current of the next cycle; and the steps are repeated until the welding power-on time reaches the preset value, and therefore real-time fine control over the welding current is achieved.

The invention discloses an inverter access method and device, a storage medium and an acquisition and monitoring terminal, which are applied to the acquisition and monitoring terminal, and an inverter is connected with the acquisition and monitoring terminal through a preset interface. The method comprises the following steps: reading first real-time communication configuration information from a characteristic register of an inverter according to original communication configuration information corresponding to a preset interface in an inverter file; if the first real-time communication configuration information is successfully read, replacing original communication configuration information corresponding to the preset interface with the first real-time communication configuration information; if the reading of the first real-time communication configuration information fails, reading second real-time communication configuration information from a feature register of the inverter according to the candidate communication configuration information; and if the second real-time communication configuration information is successfully read, replacing the original communication configuration information corresponding to the preset interface with the second real-time communication configuration information. According to the invention, the protocol self-adaption of the inverter accessed from the preset interface is realized, and the convenience of replacing the inverter is improved.

The invention belongs to the field of three-dimensional reconstruction, and particularly relates to a three-dimensional scene representation model construction method based on scene adaptive local voxel multi-plane images, which comprises the following steps: dividing a three-dimensional scene to be represented into voxel grids, and constructing a global multi-plane image MPI of each voxel; determining intersection points of different light rays and each voxel MPI under each known view angle, encoding the three-dimensional position coordinates of each intersection point corresponding to each light ray into a multi-dimensional position vector, and encoding the direction of each intersection point corresponding to each light ray into a multi-dimensional direction vector; a multi-dimensional position vector set and a multi-dimensional direction vector set corresponding to the light and a color label of a pixel corresponding to the light in the collected scene image form a training sample; constructing a three-dimensional scene representation network, wherein the three-dimensional scene representation network comprises a position multi-layer MLP network, a direction multi-layer MLP network and a color calculation unit of each voxel; and training by adopting the training sample to obtain a three-dimensional scene representation model. The detail features of the local area can be effectively captured.

The invention discloses a computer data intelligent identification system and method, and relates to the technical field of data intelligent identification. Equipment state parameters are obtained by carrying out real-time monitoring and state evaluation on equipment in a large-scale factory, comprehensive analysis is carried out according to the equipment state parameters to obtain the latest acquisition frequency of the equipment, the data acquisition frequency can be dynamically adjusted according to the equipment state, self-adaption of computer data acquisition of the large-scale factory is achieved, and the data acquisition efficiency is improved. The change of the equipment state is better reflected, and the validity and timeliness of data acquisition are ensured; through comprehensive analysis of equipment operation values, vibration abnormal values, important scores and the like of all equipment in the large-scale factory, the production state of the large-scale factory is judged, corresponding decisions are output, changes of the production state can be quickly responded, the risk of equipment faults to production is reduced, and the safety and stability of the production process are ensured; and meanwhile, an automatic decision output module can reduce errors and delay of manual judgment and improve the decision speed and accuracy.

The utility model discloses a novel wiped film cracker, which belongs to the technical field of oligomer processing and comprises a main machine body and a variable frequency motor fixed at the top end of the main machine body, the variable frequency motor is in transmission connection with a mechanical seal through a coupler, and the mechanical seal is movably connected to the top of the outer side of the main machine body. A stirring paddle with a scraping plate is arranged in the main machine body, a feed liquid distributor is fixedly arranged at the middle upper part of the inner side of the main machine body, the top end of the stirring paddle with the scraping plate is in interference fit connection with the top end of the mechanical seal, and a wear-resistant bearing is arranged at the bottom end of the stirring paddle with the scraping plate. The wiped film cracker with the structure can realize uniform dispersion of feed liquid, adjust the distance between the scraper and the inner wall of equipment, control the film forming thickness of the feed liquid, effectively prevent coking and carbon deposition of the feed liquid, avoid frequent disassembly and assembly of the equipment, ensure continuous operation of a process system, and realize full-automatic and continuous production of cracking cyclization reaction.

The invention discloses a parameter adaptive optical frequency comb repetition frequency phase locking system and method, and belongs to the field of optical frequency combs. The system comprises an optical fiber optical frequency comb, a repetition frequency detection module, a phase discriminator module, a parameter adaptive phase lock control module, a PZT frequency actuator and a frequency reference source module, the repetition frequency detection module is used for detecting a repetition frequency signal of the optical fiber optical frequency comb, and the frequency reference source module generates a target repetition frequency signal; the two paths of signals generate repetition frequency phase errors through the phase discriminator module, the repetition frequency phase errors enter the parameter self-adaptive phase lock control module, the parameter self-adaptive phase lock control module generates phase lock signals through a parameter self-adaptive phase lock controller, and control over repetition frequency of the optical fiber optical frequency comb is achieved through a PZT frequency actuator. The phase-locked controller is based on a single-neuron network PID controller, and can optimize PID control parameters in real time according to the current phase-locked condition so as to improve the phase-locked precision and the autonomous locking capability of the repetition frequency of the optical frequency comb in a complex dynamic environment.

The invention discloses a voice interaction method, a user terminal, a server side, equipment, a medium and a product. The method comprises the steps that the user terminal acquires voice input of a user; the voice input is compressed and coded, first voice input is obtained, and the mode of compressed coding is dynamically selected according to the content of the voice input; performing voice recognition, text reasoning and voice synthesis on the first voice input to obtain a target synthesized voice; or, the first voice input is transmitted to the server side, the target synthetic voice obtained by the server side is received, in the transmission process, the first voice input is divided into a voice segment and a silent segment, and transmission of the voice segment is completed preferentially; and locally playing the target synthesized voice. Through the dynamic environment perception and self-adaptive noise reduction method, transmission delay is reduced, context understanding is enhanced through text reasoning, low-delay and high-naturalness real-time voice interaction is achieved, and user experience is improved.

The invention discloses an automatic plate punching machine, which relates to the technical field of punching processing, and comprises a transfer device, a metamorphic storage rack, a grabbing device, a mark processing device and a recovery processing table. According to the metamorphic storage frame, four metamorphic steering engines synchronously rotate to drive the metamorphic right-angle frame to deform and adjust, and then the metamorphic storage frame adapts to plates of different sizes through magnetic attraction locking of metamorphic electromagnets. According to the mark machining device, accurate marking of the machining position is achieved through an ink marking head on a marking mechanism, and then position errors are reduced through alignment calibration of an alignment laser pen on a punching mechanism and marks. According to the recycling machining table, through movement adjustment of the machining hollowed-out table, waste materials after punching can smoothly fall into a waste material recycling box, and the function of recycling the machining waste materials is achieved.

The invention discloses an intelligent closed dust falling device for a transfer point of a mining scraper conveyor and a belt conveyor. The intelligent closed dust falling device comprises a closed box body, and a dust suppressant atomizing assembly, a self-moving spraying assembly, a dry dust remover and a dust concentration sensing assembly which are arranged in the closed box body, the closed box body is erected at a transfer point of the scraper conveyor and the belt conveyor; and the dry dust remover is provided with a first guide rail type suction opening and a second guide rail type suction opening corresponding to the scraper conveyor and the belt conveyor respectively. Dust falling treatment is carried out on a transfer point of a scraper conveyor and a belt conveyor in a closed environment, fixed-point dust falling is carried out by detecting dust concentration, dust suppression measures are taken in multiple aspects along with coal briquette transportation, and dust suppressant, water mist and the comprehensive effect of suction openings corresponding to the two conveyors are cooperatively sprayed. And closed dust falling treatment is carried out at a transfer point of the scraper conveyer and the belt conveyer, so that pollution of coal dust to an operation environment and ambient air is reduced.

The invention relates to the technical field of building shock insulation, in particular to a tensile friction pendulum support of a shaft body type swivel structure, which comprises an upper support plate and a lower support plate which are symmetrically arranged up and down, and a sliding block arranged between the upper support plate and the lower support plate in a sliding manner, the upper mounting groove is formed in the lower end of the upper support plate; the upper rotating seat is rotationally arranged in the upper mounting groove; the upper sliding groove is formed in the lower end of the upper rotating seat; the lower mounting groove is formed in the upper end of the lower support plate; the shaft hole is formed in the center of the sliding block; the middle shaft is arranged in the shaft hole; the upper installation groove and the lower installation groove are both of a necking-down type circular groove structure, and the upper sliding groove and the lower sliding groove are both of a necking-down type long groove structure. By means of the design, the tensile property can be greatly improved, and it is guaranteed that the friction pendulum support can provide a stable shock insulation effect.

The AGV comprises a chassis, a traction assembly and a driving assembly, the chassis comprises a frame, a cavity for mounting a driving mounting plate is formed in the frame, the driving mounting plate is in swing connection with the frame through a connecting assembly, the traction assembly is arranged on one side of the driving mounting plate, and the driving assembly is arranged on the other side of the driving mounting plate. The driving assembly comprises a pair of driving wheels, a plurality of first limiting pieces are arranged at the bottom of the frame, and the multiple first limiting pieces are distributed in the circumferential direction of the driving mounting plate. When the AGV passes through a bumpy road section, the driving mounting plate is connected with the frame in a swinging mode, so that the driving wheels are prevented from being separated from the ground and being suspended on the ground, the driving wheels are self-adaptive to the ground, meanwhile, the first limiting piece is arranged at the bottom of the frame, the swinging angle of the driving mounting plate can be limited, and the driving wheels are prevented from being damaged. Therefore, the goods are prevented from falling off due to excessive forward inclination or backward falling, and the safety and reliability of operation of the AGV unmanned vehicle are further improved.

The invention relates to an industrial application multi-protocol transceiver circuit and industrial control equipment, designs a transceiver circuit composed of an RS232 interface chip, an RS485 / RS422 sending chip, an RS485 / RS422 receiving chip, a monostable trigger unit, a bistable trigger unit and two alternating current coupling units, provides a four-wire interface to the outside, realizes two paths of RS232 communication and one path of half-duplex or full-duplex RS485 communication, and provides a four-wire interface to the outside. According to the multi-protocol type adaptive transceiver for RS422 communication, which interface protocol mode the transceiver circuit works in can be controlled through a mode switching level, automatic data transmission direction control is carried out through a monostable trigger unit, and reconstruction of data receiving is realized through a bistable trigger unit. The self-adaption of RS232, RS485 and RS422 protocol types is effectively realized, and the system resources of the main controller are saved.

The invention discloses a substance identification method based on self-adaptive quantitative decomposition, which comprises the following steps of: establishing a polynomial relationship among coefficients, energy and effective atomic numbers participating in substance identification in the interaction of rays and substances, and scanning and reconstructing by using various known materials as calibration substances; based on the linear attenuation coefficients of different energy regions of the calibration object, the real effective atomic number and density of the calibration object and the polynomial relation obtained before, effective energy of the corresponding energy region is determined; in actual operation, after scanning reconstruction is carried out on a to-be-decomposed substance, due to the fact that effective energy is determined through calibration and linear attenuation coefficients reconstructed in different energy regions are only related to effective atomic numbers and densities, two ray and substance interaction formulas containing variable parameters are simultaneously established, and solving is carried out; and the effective atomic number and density of the scanned substance can be accurately obtained. According to the invention, correlation coefficients can be automatically adjusted according to different substances, so that the decomposition precision is improved.

The invention provides an embedded Linux system hardware self-adaption method based on an extended memory and an electronic terminal. The method comprises the following steps: acquiring hardware configuration information of an embedded Linux system; according to the hardware configuration information, storing a boot0 program, a device user-defined initialization program and a kernel device tree in a preset storage area of the extended memory; when the system is powered on and started, the microprocessor is set to be started from the extended memory through hardware circuit management; the bootloader program loads a kernel device tree to a preset address of a memory from the extended memory; and the kernel adapts to the current hardware configuration according to the transmitted memory address of the kernel device tree to complete starting. According to the adaptive method provided by the invention, the boot program and the configuration information are stored by the extended memory, so that the hardware configuration diversification of the embedded Linux system is realized.

The invention discloses a variable-range ultrasonic flow testing system and a variable-range ultrasonic flow testing method. The system comprises an underground ultrasonic signal receiving and transmitting device and a ground control terminal, the ultrasonic signal receiving and transmitting device comprises a first flow guide pipe and a second flow guide pipe which are movably connected in a sealed mode, a first ultrasonic transducer and a second ultrasonic transducer which are arranged on the first flow guide pipe and the second flow guide pipe respectively, a screw rod and a transmission mechanism. A first protrusion and a second protrusion are arranged on the outer side of the first flow guide pipe and the outer side of the second flow guide pipe respectively, the first protrusion is provided with a first through hole allowing the screw to penetrate through, and the second through hole of the second protrusion is provided with internal threads matched with threads of the screw. The control terminal is used for determining the flow according to the echo signals collected by the ultrasonic signal receiving and transmitting device, and if the flow is not within the predicted flow interval, the transmission mechanism is informed to drive the screw to rotate correspondingly. The system can adapt to different flow tests by automatically changing the axial distance between the two ultrasonic transducers under the condition that the diameter of the flow passage is not changed.

This invention relates to a rocker arm nozzle for irregularly shaped spray areas, comprising a mounting assembly. The mounting assembly has an elevation adjustment component on its surface, and a nozzle assembly is mounted on top of the elevation adjustment component. The mounting assembly includes a lower tube, with a mounting base fixedly mounted at its bottom. The elevation adjustment component includes an angle adjustment ball fixedly mounted on the surface of the lower tube, and a sliding block movably mounted on the outer surface of the angle adjustment ball. In this rocker arm nozzle for irregularly shaped spray areas, a sliding track is fitted onto the track balls. Furthermore, an upper tube is rotatably connected via a connecting shaft and a docking rod, allowing the upper tube to change its elevation angle based on the lower tube via the connecting shaft. Utilizing the striking force of the rocker arm, the sliding track slides laterally across several track balls. By pre-setting the positions of each slider, the elevation angle of the nozzle assembly can be changed, thus achieving self-adaptation to irregular spray areas.

The invention discloses an automatic motor assembling system which comprises an assembling table, a heating assembly, a grabbing mechanism and a positioning mechanism. The grabbing mechanism is mounted on one side of the assembly table, and the grabbing mechanism is suitable for grabbing a shell and a stator for motor assembly to the assembly table in sequence; the positioning mechanism is mounted in the middle of the assembly table and is suitable for positioning and clamping the shell from the inner side of the shell; when the stator is placed in the shell, the positioning mechanism is suitable for lifting the shell to be separated from positioning, so that the stator is mounted at a set position of the shell under the action of gravity; the heating assembly is suitable for heating the shell. The motor assembly system has the beneficial effects that the positioning mechanism can position and clamp shells of a special-shaped motor and a common motor from the interior of the shell, and therefore the application range of the whole assembly system can be effectively widened. And in the assembling process, the shell is lifted up to realize complete adaptation of the shell and the stator, so that the assembling quality can be effectively improved.