1098results about How to "High output" patented technology

The invention provides an automatic walking and positioning method and system for a signal positioning and measuring robot in a complex environment, and relates to the field of technical positioning and measuring robots, and the method comprises the steps: obtaining an indoor three-dimensional map and multi-mode perception data, carrying out the semantic segmentation through a graph neural network, and achieving the environment matching through the combination of a point cloud registration technology; and generating robot motion track planning data. Multi-dimensional signal features are collected through a phased-array antenna system, and a signal feature distribution diagram is constructed in combination with a robot pose and an environment electromagnetic propagation model. A partitioning strategy and a multi-constraint optimization algorithm are adopted to calculate three-dimensional coordinates of a signal source, and finally, the signal source is accurately positioned through a depth calibration network.

The invention provides a new energy station operation intelligent management method and system, and relates to the technical field of new energy station operation, and the method comprises the steps: collecting various data in real time through a sensor and monitoring equipment in a new energy station; transmitting the collected data to a central data center, carrying out iterative optimization processing, and determining final data classification, cleaning and compression parameter combination so as to construct a new energy station big data platform; and according to the constructed big data platform of the new energy station, constructing a digital twinborn model of the new energy station so as to reflect the operation state, the equipment health condition and the environment change of the station in real time. Through real-time data acquisition, digital twinborn model construction and simulation analysis, automatic generation and closed-loop management of an operation optimization scheme are realized, and the operation efficiency, prediction accuracy and fault handling capacity of the new energy station are effectively improved.

The invention provides a wavelength adjustment method, device and equipment for an LED detection light source and a storage medium, and the method comprises the steps: transmitting multiband incident light through an LED light source array, and receiving reflected light or transmission light of a detection object through a photoelectric detector array, thereby obtaining the spectral feature data of the detection object. And according to the spectral feature data, calculating a signal-to-noise ratio value and a feature response difference value of each wavelength interval, and performing multi-target parameter optimization in combination with a background noise coefficient of the detection object to obtain an optimal detection wavelength parameter group. And then, through linkage control of the driving current and the chip temperature of the LED light source array, matching output signals of multiple groups of wavelengths are obtained. And adjusting the wavelength of the LED light source array according to the compensated optimal detection wavelength parameter group. According to the method, adaptive wavelength adjustment can be carried out according to the spectral characteristics of the detected object, light source output is optimized, the signal-to-noise ratio is improved, the detection precision is further improved, and the method has remarkable advantages in optical detection application in a complex environment.

The invention relates to the technical field of lithium battery temperature regulation and control, in particular to a temperature regulation method and system based on an embedded lithium battery. According to the invention, accurate real-time monitoring and dynamic regulation and control of the temperature of the lithium battery are realized by constructing the temperature regulation and control sensing model and the self-adaptive power management system. And a temperature propagation model, a dynamic battery model and a compensation factor are introduced, so that the temperature prediction precision and the system response capability are improved. A comprehensive thermal state evaluation function and an innovative temperature adjusting method are adopted, and comprehensive thermal state evaluation and flexible temperature control are achieved. And the multi-level temperature risk management ensures the safety of the system. The multi-layer and multi-angle temperature control strategy obviously prolongs the service life, safety and performance of the battery, and provides a reliable and efficient energy solution for equipment such as electric automobiles.

The invention relates to the technical field of audio control, and provides an audio control method and device, electronic equipment and a storage medium. The audio control method comprises the steps that a sound effect test is carried out on a target space based on a specified measurement signal to obtain environment response information, and the environment response information comprises pulse response information and information obtained after pulse response is separated; analyzing the environmental response information to obtain acoustic characteristic information of the target space; performing compensation processing on the to-be-processed audio based on the acoustic characteristic information to obtain a regulated audio; regulating and controlling the gains of the multiple sound channels corresponding to the regulated and controlled audio to obtain audio regulated and controlled again; and carrying out multi-channel collaborative optimization processing on the audio after being regulated and controlled again to obtain the audio with a target effect. According to the method, accurate compensation of the acoustic defect of the target space is realized, the problem of crosstalk between sound channels is effectively solved, the positioning and space sense of the sound image is remarkably improved, the overall hearing sense of the audio is greatly improved, and the audio output is continuously optimized.

The invention discloses a remote sensing image ground object segmentation method based on hierarchical feature extraction and decoding, which relates to the technical field of remote sensing image processing, and comprises the following steps: step 1, collecting and preprocessing a remote sensing image, and constructing a training sample set; 2, constructing an image segmentation network, wherein the image segmentation network comprises a hierarchical encoder, a receptive field module unit and a network decoder which are connected in sequence; 3, training and optimizing the image segmentation network by adopting the training sample set to obtain a remote sensing image ground object segmentation model; and 4, collecting a remote sensing image to be segmented, and inputting the remote sensing image to the remote sensing image ground object segmentation model to obtain a ground object segmentation result. According to the method, the advantages of the advanced visual basic model and the U-shaped network architecture are combined, so that rapid and accurate segmentation of the ground target is realized.

The invention discloses a floating type photovoltaic platform device capable of actively adjusting the angle of a photovoltaic module, which comprises floating bodies, a photovoltaic mechanism, a central control system, connecting floating bodies and gravity anchors, and is characterized in that the photovoltaic mechanism is mounted on the floating bodies, the floating bodies are connected with the gravity anchors, the gravity anchors are placed in a water area, the plurality of floating bodies are connected through the connecting floating bodies, and the central control system is connected with the central control system. The central control system is installed on the connecting floating body, the central control system is respectively connected with the floating body and the photovoltaic mechanism, the floating body comprises an adjusting air cushion and a supporting floating body, the adjusting air cushion is arranged on the supporting floating body, the photovoltaic mechanism is arranged on the adjusting air cushion, and the supporting floating body is respectively connected with the connecting floating body and the gravity anchor. The sun position and the illumination intensity are monitored in real time through the central control system, the angle of the photovoltaic mechanism is actively adjusted through the adjusting air cushion, it is ensured that the photovoltaic assembly can receive sunlight at the optimal angle all the time, and therefore the photoelectric conversion efficiency is remarkably improved.

The invention discloses a digital twin-driven photovoltaic module monitoring and self-purification system, belongs to the technical field of photovoltaic module cleaning, and realizes intelligent management and maintenance of a photovoltaic system through mutual cooperation of a sensing layer, an information capturing layer, an information transfer layer, an intelligent analysis layer, a decision support layer and an interactive experience layer. The sensing layer deploys various sensors to collect key data of the photovoltaic module; the information capturing layer transmits the data to a back-end processing system in real time; the information transfer layer ensures efficient transmission of data in the system; the intelligent analysis layer predicts a maintenance demand by using a machine learning algorithm, realizes predictive maintenance, and maintains the optimal working state of the component through an intelligent cleaning mechanism; the decision support layer provides decision support based on data analysis for an operator of the photovoltaic power station, and optimizes a maintenance plan and a productivity plan; and the interactive experience layer provides a visual management interface, so that the component state can be remotely monitored conveniently.

The invention discloses an animal behavior recognition method and system based on deep learning. The method comprises the steps of data collection, data reconstruction, individual behavior classification, group correlation analysis and animal behavior recognition. The invention relates to the technical field of animal behavior recognition, in particular to an animal behavior recognition method and system based on deep learning, and adopts a comprehensive animal behavior recognition method combining individual analysis and group analysis to recognize a specific behavior type through individual behavior analysis. Comprehensive analysis and clustering are carried out by combining group correlation analysis with a plurality of animals, so that the recognition depth and comprehensive availability of animal behavior recognition are improved; performing individual behavior classification by adopting a residual convolutional recurrent neural network combined with structure and attention improvement; and performing group correlation analysis by adopting a dynamic and static graph neural integration network combined with reinforcement learning.

The invention discloses a coordinated optimization multi-step prediction method based on target correlation space-time coding-task decoding, and the method comprises the steps: constructing a space-time encoder formed by stacking a plurality of space attention enhanced time sequence convolution modules, and carrying out the complete adaptive noise set empirical mode decomposition of a target value historical sequence; constructing a parameter sharing mechanism, and training a multi-step prediction model formed by a space-time encoder and a task specific decoder by using a multi-task learning normal form; training input is preprocessed historical industrial process production data, and gradient conflicts among multiple tasks are reduced by using a gradient adjustment mechanism and a dynamic weight distribution method; and preprocessing real-time industrial process production data, and inputting the data into the trained prediction model to obtain a prediction result. According to the method, the relationship among different prediction tasks can be effectively coordinated, the overall model performance is optimized, and challenges encountered in long-term prediction are more effectively processed by dynamically adjusting weight distribution and gradient flow among multiple tasks.

The invention relates to the technical field of lighting, in particular to a driving power supply control circuit, a control method and a lighting application method. Comprising the steps that an acquisition module acquires spectral data and temperature data of a current environment; the receiving module receives the target color rendering index, the target color temperature and the target illumination; the control module is connected with the acquisition module and the receiving module, and is used for calculating a PWM duty ratio needing to be compensated according to the temperature data, obtaining a target PWM duty ratio based on the current color rendering index Ra, the current correlated color temperature CCT, the current illumination and the control parameters, and outputting a PWM signal based on the target PWM duty ratio and the PWM duty ratio needing to be compensated; and independent and stable constant-current signals are finally output by using the voltage balancing circuit and the driving module. The problems that an existing LED driving power source is single in function and lacks self-adaptive control capacity and monochromatic light trailing are solved. The LED powder-free lamp can continuously and stably operate, and meanwhile, high color rendering index and dynamic light color balance are achieved.

The invention belongs to the field of biotechnology and medicine, and discloses mRNA (messenger Ribonucleic Acid) for coding luciferase and application thereof. The mRNA for coding the luciferase comprises an ORF sequence for coding the luciferase, and the ORF sequence for coding the luciferase is a nucleotide sequence as shown in one of SEQ ID NO: 10 to SEQ ID NO: 13. The invention provides a brand-new mRNA for coding luciferase, and the mRNA is stable in structure, not easy to degrade, high in translation efficiency, relatively high in protein yield, relatively high in biological availability and safety by reasonably optimizing a nucleic acid sequence of a functional region, can be applied as a reporter gene, and has good potential.

The invention discloses a method and equipment for pre-printing calibration of different spray heads and a storage medium. The method comprises the following steps: S1, obtaining a printer spray head distance and a color register calibration pattern; s2, setting resolutions matched with different nozzles in the calibration pattern; s3, the calibration pattern is imported into a printer, and the calibration pattern is printed; s4, performing visual identification on the printed calibration pattern, and respectively identifying a frame and a color block of the calibration pattern; s5, after the recognition result is obtained, the nozzle is calibrated through coarse adjustment scales on the right side and the lower portion of the calibration pattern; s6, after calibration, the calibration pattern is printed again; s7, the step S3 is repeated until the color blocks of the calibration pattern are completely overlapped in the square frame, the problems that in the prior art, the calibration difficulty is large, and lines and color spraying cannot be calibrated at the same time are solved, through the specific calibration pattern and visual recognition equipment, the nozzle distance and the color register condition can be accurately analyzed, the accurate offset can be obtained, and the purpose of fine calibration is achieved.

The invention relates to the technical field of laying hen breeding, and discloses an automatic acquisition and analysis system for laying hen breeding data. The information acquisition unit is used for collecting physiological parameters, behavior data, environmental parameters and health indexes of laying hens in real time; the disease monitoring unit is used for analyzing the collected data and identifying physiological abnormality and behavior change before the disease occurs; the antibody level monitoring unit is used for evaluating the immune response capability of the laying hens to specific pathogens; the environment adaptability evaluation unit is used for evaluating the adaptability of the laying hens to the extreme environment according to the environment parameter change and the physiological response of the laying hens; the breeding decision support unit is used for integrating all data and analyzing the production performance, disease resistance and environmental adaptability of laying hens; an optimal feeding scheme is recommended, medicine use is reduced, and resource allocation is optimized.

The invention belongs to the technical field of micro-reaction, and particularly relates to a micro-mixer and a method for continuously preparing nano cooling liquid. Comprising a reaction cavity in which a plurality of reaction flow channels are arranged, all the reaction flow channels are used for preparing nano cooling liquid and are vertically arranged in the reaction cavity in a three-dimensional spiral shape, and each reaction flow channel is internally provided with a plurality of disturbance structures and a plurality of distributors which are arranged in the reaction cavity and located above all the reaction flow channels, each distributor is connected with the inlets of all the reaction flow channels, the collectors are arranged at the outlets of all the reaction flow channels, and pressure regulating structures are arranged in the collectors. According to the invention, the distributor is adopted to enable the reaction fluid to flow into the corresponding reaction flow channel, the three-dimensional spiral flow channel design in the reaction cavity is folded in space, so that the overall size of the microreactor is not too large, and a disturbance structure is arranged in each reaction flow channel, so that the mixing efficiency can be further improved; the production rate of the microreactor is improved, and blockage in a flow channel is avoided.

The invention relates to the technical field of oil and gas field development, in particular to a method for realizing CO2 storage and H2 injection and production by utilizing a shale gas well, which comprises the following steps: acquiring geological and development data of a target shale gas well reservoir, and selecting the shale gas well suitable for CO2 storage and H2 storage as a pre-selected well; cO2 is injected into the pre-selected well to conduct fracturing transformation in the mode that the pressure is higher than the reservoir fracture pressure, and the shale gas well is soaked; shale gas production is conducted, and after shale gas production is stopped, CO2 is injected again for geological storage; h2 is injected into the pre-selected well in the mode that the pressure is not higher than the reservoir fracture pressure, and when the hydrogen storage amount reaches the preset hydrogen storage amount or the internal pressure value of the gas reservoir reaches the safety upper limit, H2 injection is stopped; and when H2 needs to be used, hydrogen is extracted for the same shale gas well, and high-purity hydrogen is obtained. According to the method, the shale gas recovery efficiency is improved by injecting CO2 into the shale gas well, and CO2 storage is achieved to the maximum extent while conversion from the shale gas reservoir to the hydrogen reservoir is achieved.

The invention relates to the technical field of piezoelectric pumps, in particular to a piezoelectric fluid pump which comprises a fluid excitation unit and at least one opposed plate. The fluid excitation unit is provided with a piezoelectric plate, a substrate, a spacing part and a diaphragm, and the piezoelectric plate and the substrate form an actuator; a pump cavity is formed between the opposed plate and the diaphragm; at least two hole parts communicated with the pump cavity penetrate through the area, opposite to the diaphragm, of the opposite plate, the hole parts are inlets or outlets, at least one hole part is an inlet, the other hole part is an outlet, and at least one hole part is provided with a one-way valve; according to the piezoelectric fluid pump, the diaphragm serves as an excitation source for exciting the fluid in the pump cavity to generate pressure variation, the diaphragm is fixedly connected with the actuator through the spacing part, under the structure, the diaphragm can generate vibration displacement which is several times or even dozens of times that of the actuator due to extremely small vibration displacement of the actuator, and therefore the vibration displacement of the diaphragm is greatly reduced. And the volume variation of the pump cavity during working can be greatly improved, so that the output flow is greatly improved.

The invention relates to the technical field of process management, in particular to a sealing integrated collaborative process optimization method and system. The method comprises the following steps: obtaining sealing process data; performing sensor data acquisition according to the sealing process data to obtain a multi-modal sensor acquisition data set; performing data preprocessing on the multi-modal sensor acquisition data set to generate a standard multi-modal sensor acquisition data set; performing process flow analysis on the sealing process data to generate sealing process flow data, the sealing process flow data including a sealing flow, a cover closing flow and a cover pressing flow; and performing intelligent process modeling on the sealing process, the cover closing process and the cover pressing process to generate a process procedure mathematical model. According to the invention, through multi-modal data acquisition, detailed process flow analysis, real-time monitoring and dynamic adjustment strategies, the flexibility and adaptability of sealing process production process management are improved.

The invention relates to the technical field of wind power generation control, in particular to a generator device and a control method thereof. The method comprises the following steps of performing real-time monitoring on noise frequency, amplitude and phase when a generator device operates, and generating a noise characteristic data set; extracting the main frequency and phase characteristics of a noise source from the noise characteristic data set, and performing reverse analysis on the data to generate reverse sound wave signal data opposite to the phase of the noise source; and the reverse sound wave generating device transmits the reverse sound wave signal data to the generator device, outputs reverse sound waves through a broadband loudspeaker, superposes the reverse sound waves and original noise in the space, and monitors the noise after noise reduction in real time to obtain noise reduction effect feedback data. According to the invention, noise characteristics are monitored in real time, matched reverse sound wave signals are extracted and reversely generated, reverse sound wave characteristics are dynamically adjusted, closed-loop adaptive control is formed, and efficient and stable noise reduction of a generator device is realized.

The invention provides an automatic spraying cooling method for an air cooling island, and solves the problems that an existing air cooling island auxiliary cooling spraying device is complex in structure, and a spraying cooling control and adjustment method is complex, and according to the technical scheme, the cooling method comprises the following steps that an air cooling island automatic spraying cooling system is arranged on the air cooling island; checking equipment and a control system; opening water supply and opening a water inlet valve of a water supply system; adjusting pressure to start spraying; cooling is controlled, and a PLC of the master control cabinet judges according to a preset temperature threshold value; monitoring parameters; and observing the spraying effect. The system can automatically perform spray cooling according to the real-time temperature of the air cooling island, strengthen the cooling effect of the air cooling island, increase the air humidity, prevent corrosion and dust accumulation, cope with the environment temperature change, reduce the operation of cooling auxiliary equipment, relieve the thermal stress of the air cooling island, assist in improving the cooling efficiency of the air cooling island, improve the output of a generator set and save energy.

The invention discloses a temperature-controllable preparation method for tissue temperature dissociation into single cells and application, the temperature-controllable preparation method for tissue temperature dissociation into single cells comprises the following steps: S1, providing a tissue sample, and pre-treating the tissue sample to obtain a sample block; s2, mixing the sample blocks with a compound digestive enzyme, and filtering to obtain a single-cell suspension after digestion treatment is completed; wherein the compound digestive enzyme is prepared from collagenase, hyaluronidase and papain; and selectively, S3, carrying out red removing treatment. The invention not only provides an improved preparation method of the single-cell suspension, but also has higher efficiency on the premise of ensuring the yield and activity of single cells, and provides a new strategy and tool for cancer research and treatment by particularly enriching CSCs.

The invention belongs to the field of solar cells, and particularly relates to a hole transport layer, a perovskite solar cell and a preparation method. The hole transport layer comprises a NiOx layer and a self-assembly molecular layer, wherein the self-assembly molecular layer comprises a self-assembly molecular material and a surfactant. The perovskite solar cell comprising the hole transport layer has the advantages of high efficiency, high stability, low production cost and simple preparation process.

The invention relates to the field of mechanical engineering, and discloses a tentering setting production speed intelligent adjusting method and system, and the method comprises the steps: analyzing the thermal sensitivity, melting point, elastic coefficient and elastic modulus of a to-be-tentered textile; a heat setting curve of the to-be-tentered textile is constructed, the optimal setting temperature of the to-be-tentered textile is determined, and a heat setting control mechanism of the tentering setting machine is constructed; the stretching tension and the tentering tension of the to-be-tentered textile are calculated, the distance between spreading rollers and the speed of the spreading rollers of the tentering setting machine are analyzed, the cooling efficiency of the tentered textile is calculated, and a cooling control mechanism of the tentering setting machine is constructed; constructing a double-air-duct frequency conversion control module of the tentering setting machine; the tentering parameters of the tentering technological process are analyzed, the tentering state of the to-be-tentered textile in the tentering technological process is analyzed, the production speed parameters of the tentering setting machine are determined, and the production speed of the tentering setting machine is executed for intelligent adjustment. According to the invention, the production efficiency of tentering and shaping can be improved.

The utility model discloses a clearance measurement vernier feeler gauge which comprises a base body and a gauge body arranged on the base body, the gauge body is in a wedge shape, a vernier sliding block is arranged on the inclined face of the gauge body, a distance measuring module and a display module are arranged on the base body, the distance measuring module is arranged at the tail end of the inclined face of the gauge body and right faces the vernier sliding block, and the display module is arranged on the base body. And the display module is used for displaying the measurement result. The method has the advantages that the gap width is conveniently and rapidly detected, and the detection efficiency is improved. The utility model further provides a gap measuring device which comprises the two gap measuring vernier feeler gauges and the connecting piece, and the bottoms of the two gap measuring vernier feeler gauges are connected with each other.

The invention discloses an imaging method of a fundus camera and a portable fundus camera, and relates to the field of ophthalmology detection, and the method comprises the steps: collecting an eye image of a target object, and determining the identity information of the target object according to the eye image; acquiring historical detection data of the target object according to the identity information; when it is determined that the eyes of the target object are in a preset detection action according to the eye image, obtaining an infrared preview image; determining a first focal length of the target object under the infrared light irradiation condition according to the infrared preview image; determining a second focal length of the target object under the condition of white light irradiation according to the first focal length and historical detection data; and acquiring an eye fundus image of the target object by taking the second focal length as focusing setting information. By implementing the method, the focusing and image acquisition efficiency of the fundus camera can be improved.

The invention belongs to but is not limited to the technical field of PCBA defect detection, and discloses a PCBA AI defect detection item demand response method and system, which adopts multi-scale long-range fusion, context information, super-resolution and block detection to improve a target detection algorithm, and performs detection and identification of a tiny target. Identifying the fine granularity of the target by adopting a contextual information and depth feature matching method; 3D point cloud and X-ray perspective are adopted, a multi-sensor fusion detection frame is used, and invisible defect detection is carried out. According to the method, AI technologies such as deep learning are utilized, the detection precision of small defects on the PCBA board is effectively improved, and missing detection and false detection are reduced. The AI technology can automatically identify and learn defect features, and efficiency and accuracy are significantly improved. The AI model can optimize the self algorithm through continuous learning, so that the detection system can adapt to different PCBA boards and production environments, and the universality and flexibility of the detection system are enhanced.

The present invention discloses a filter for dusty oil and gas, comprising a cylinder, the top of which is connected to a top cover, the bottom of which is connected to a cone, a first bypass port and a second bypass port are provided on the top cover and the cylinder, the two are connected through a pipeline to form an external passage, and a bypass valve is provided on the pipeline; a plurality of filter elements are provided in the cylinder; a first heating component and a second heating component are provided on the outer wall of the cylinder and the cone. The filter of the present invention, under the joint action of the heating component and the external passage, can not only ensure that the interior of the cylinder and the cone always maintains a relatively high temperature, but also can timely dredge the filter element during operation, thereby achieving effective separation of dust and oil and gas, and effectively avoiding abnormal phenomena such as negative pressure inside the filter, having the advantages of high processing efficiency, good filtering effect, low maintenance cost, high safety, long service life, etc., can effectively remove dust in the oil and gas when used for filtering dusty oil and gas, has high use value, and good application prospects.

The invention relates to the technical field of feed processing, and provides a grain grinding device for feed production, the grain grinding device comprises a shell, a feed inlet and a discharge outlet, the feed inlet is fixedly communicated with the top of the shell, the discharge outlet is fixedly communicated with the bottom of the side wall of the shell, a grinding assembly is arranged at the top of the inner wall of the shell, and a screen is arranged at the bottom of the grinding assembly; the screen is obliquely and fixedly connected to the inner side wall of the shell, an ejection mechanism is arranged at the bottom of the inner wall of the shell, a circulating inlet and a circulating outlet are formed in the side wall of the shell, and a circulating conveying assembly is arranged on the outer wall of the shell. The ejection mechanism is arranged and comprises a plurality of ejection rods in one-to-one correspondence with the holes of the screen, the ejection rods penetrate through the holes to eject large particles clamped in the holes, the screen is prevented from being blocked, qualified particles can be conveniently output out of the grinding device through the holes of the screen, and the qualified particles are prevented from being conveyed back to the grinding assembly to be ground again; the probability that unqualified particles make contact with the grinding groove and the grinding pestle is increased, and the grinding efficiency is improved.

The servo automatic sawing and milling equipment comprises a rack; a clamping and fixing mechanism is fixedly mounted on the rack; the three clamping and fixing mechanisms are located at the two ends and the middle of the rack correspondingly. The clamping and fixing mechanism comprises a clamping and fixing frame; the two sides of the clamping fixing frame are each fixedly provided with a clamping push cylinder, and each clamping fixing frame is provided with a clamping block in a sliding mode. The output ends of the two clamping push cylinders are fixedly connected with the corresponding clamping blocks correspondingly. The two ends of the rack are each fixedly provided with a two-axis servo moving mechanism, and the output end of each two-axis servo moving mechanism is fixedly provided with a milling cutter motor. A milling cutter is fixedly mounted on an output shaft of each milling cutter motor; according to the utility model, the processing speed is greatly increased, so that the output in unit time is higher; and the sawing function is achieved, sawing machining and milling cutter machining are integrated, and space is saved.

The invention discloses an MYH9-RD auxiliary screening system and an MYH9-RD auxiliary screening method based on blood cell morphology. Comprising an image acquisition module, an image detection module and an image analysis module, wherein the image acquisition module is responsible for acquiring a Wright stained peripheral blood image of a case to be screened; the image detection module is responsible for acquiring an independent image of each blood cell; the image analysis module is responsible for acquiring blood cell category information, leukocyte form information and platelet size information; the counting and processing module is responsible for generating an analysis result of a case to be screened; the related disease judgment module is responsible for generating an MYH9-RD screening result; and the result output module is responsible for outputting the screening result. According to the method, the morphology of the special cells of the peripheral blood is accurately identified and the number of the cells is accurately calculated through an artificial intelligence algorithm, so that the defects of incomplete visual capture and easy fatigue of human beings are overcome, misdiagnosis and missed diagnosis caused by personal errors or subjective differences are reduced, accurate identification of the cell morphology is realized, and the working efficiency is greatly improved; and early, rapid and efficient screening of the MYH9-RD is facilitated.