1456results about How to "High speed" patented technology

The invention discloses a dynamic space-time diagram flow prediction method and system based on course learning, and relates to the technical field of supply chain logistics data analysis, and the method comprises the steps: building a space-time matrix based on historical multi-source data, generating a dynamic adjacent matrix through learning, and carrying out the smooth fusion through combining a static diagram, and forming a dynamic diagram structure. And then space and time features are respectively extracted by using a graph convolutional network and a gating loop unit, and deep interaction and fusion are realized through a bidirectional cross attention mechanism. A multi-dimensional difficulty estimator is innovatively introduced, the prediction difficulty of each training sample is quantified from three dimensions of space, time and time-space coupling, the selection sequence of the training samples is dynamically adjusted based on an adaptive course scheduler, and progressive learning is realized. And finally, feature representation is obtained through global pooling, and multi-step traffic prediction is realized by adopting a parallel independent decoder, so that error accumulation is avoided. According to the invention, prediction precision and model training efficiency in a complex supply chain logistics scene are effectively improved.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to sheep fecundity and application of the SNP molecular marker. The SNP molecular marker comprises an SNP1 (Single Nucleotide Polymorphism) and / or an SNP2; the SNP1 is located at a base at the 115747587 site of a chromosome 6 of a sheep reference genome AR-UIRamV2.0 version, and the polymorphism of the SNP1 is T / G; the SNP2 is located at a basic group at the 41419566th site of a chromosome 22 of a sheep reference genome AR-UIRamV2.0 version, and the polymorphism of the SNP2 is A / G. According to the scheme, the SNP molecular marker related to sheep fecundity is provided, sheep with the high fecundity character can be efficiently and accurately identified and screened out, and the marker is high in typing quality, single in copy and high in polymorphism and can be used for sheep fecundity molecular marker assisted breeding.

The invention provides a control method and a control device of an underwater robot. The control method of the underwater robot comprises the following steps: establishing an underwater robot system model; performing obstacle avoidance path planning by using a sampling algorithm to obtain a discrete geometric path point set connecting the starting point and the ending point; a full-state reference sequence matched with the control method underwater robot system model is generated based on the control method discrete geometric path point set; constructing a cost function for trajectory optimization based on the control method underwater robot system model and the control method full-state reference sequence; generating an initial control sequence and an initial state sequence according to the deviation between the current state of the underwater robot in the control method and the full-state reference sequence in the control method; and performing iterative optimization by taking the control method cost function as an optimization target and taking the initial control sequence and the initial state sequence of the control method as hot start initial values to obtain a control instruction sequence of the underwater robot of the control method.

The invention relates to a structured light illumination confocal super-resolution measurement system and method, and relates to the technical field of optical measurement. The system comprises a digital micromirror device (DMD), a sample platform, an electric displacement platform, a microscopic imaging assembly, a complementary metal oxide semiconductor (CMOS) imaging assembly and computer equipment, and the DMD is used for adjusting the point light source array and the structured light field. According to the DMD-based confocal super-resolution measurement method, a structured light field and a signal-noise separation technology are combined, and high-precision and high-resolution three-dimensional surface reconstruction can be realized. By using the flexibility of the DMD and the advantages of the super-resolution technology, the spatial resolution and speed of confocal imaging are effectively improved, so that the measurement process is more accurate. In addition, low-rank decomposition and self-supervised deep learning methods are fused, the image reconstruction process is optimized, noise interference is suppressed, and the overall performance of the system is further improved.

The invention discloses a multi-mode defect automatic classification method, device and equipment and a storage medium. The method comprises the following steps: acquiring a microscope image, an X-ray image and defect feature information data of a to-be-detected product; first classification processing is preferentially carried out based on the microscope image, when the first classification processing result meets a first preset reliability condition, the first classification processing result is taken as a final classification result, and when the first classification processing result does not meet the first preset reliability condition, the final classification result is taken as a final classification result. Performing feature fusion based on the X-ray image and the defect feature information data, and executing second classification processing; when the second classification processing result meets a second preset reliability condition, the second classification processing result serves as a final classification result, and when the second classification processing result does not meet the second preset reliability condition, defect type judgment is conducted based on key parameters in the defect feature information data, and the final classification result is output; the classification accuracy and efficiency can be improved, and the error recognition rate is reduced.

The invention discloses an arch bridge tensioning method and system based on a physical constraint space-time diagram attention network, and the method comprises the steps: constructing a dynamic topological graph of an arch bridge cantilever construction structure, taking a structure initial state parameter, a control force system parameter and a real-time environment parameter as node input features, and taking a structure state response parameter as an output label, generating a training data set based on finite element model simulation; designing a deep learning network model combined with space diagram attention and time sequence causal convolution, and modeling a space-time dependency relationship; defining a mixed loss function of the data fidelity item and the physical residual loss item of the structural mechanical control equation; and training the model through a back propagation algorithm and deploying the model to a field decision control system. According to the method, through graph structure abstraction, spatio-temporal joint modeling and physical constraint embedding, multi-source monitoring data driven structure state online prediction and tension control strategy intelligent optimization are achieved.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention provides an error amplifier for peak current mode control and a converter system. The error amplifier comprises a transconductance amplifier, a voltage clamping module, a voltage-current converter, a slope compensation module, a current clamping module and a mirror image tube, the negative end of the transconductance amplifier is used for loading feedback voltage, and the positive end is used for loading reference voltage; the output end of the transconductance amplifier, the output end of the voltage clamping module and the input end of the voltage-current converter are electrically connected; the voltage-current converter generates error current; the slope compensation module is used for performing slope compensation on the error current to generate a compensated current; the output end of the slope compensation module, the output end of the current clamping module and the positive end of the high-side comparator are electrically connected with a second reference node; and the mirror image tube is used for loading the comparison voltage to the positive end of the high-side comparator. The error amplifier provided by the invention can realize more stable mode switching and more accurate current limiting control.

The invention discloses a power distribution network power demand prediction method and device based on big data analysis and a medium, and belongs to the technical field of power demand prediction, and the method comprises the steps: dividing a power distribution network into a plurality of power nodes, collecting the power data of the power nodes, and carrying out the screening to obtain power abnormal nodes; demand information of the power abnormal node is collected, and a power consumption demand event is extracted according to the demand information; acquiring event information of the power consumption demand event, and evaluating according to the event information to obtain a propagation effect condition of the power consumption demand event; acquiring a real-time prediction demand value of a power abnormal node, and determining power change values of other power nodes in combination with a propagation effect condition; and collecting real-time environment data of the power node, predicting according to the real-time environment data to obtain a basic power demand value, and superposing the power change value to obtain a real-time power demand value. The accuracy of power distribution network power demand prediction based on big data analysis is improved.

The invention discloses a credit business management method and device, electronic equipment and a program product, and relates to the technical field of blockchains, and the method comprises the steps: matching a target credit template from a template library according to business parameters in a credit request, carrying out the parameterization filling, and obtaining an intelligent contract draft, broadcasting the smart contract draft to a plurality of role nodes with authority in the alliance chain network, receiving operation results and signature results fed back by the plurality of role nodes, aggregating the multi-party signature results into a threshold signature under the condition that the operation results indicate that the smart contract draft meets a multi-party threshold signature condition, and sending the threshold signature to the alliance chain network. Writing the signed smart contract into a block chain account book, and updating the state of the smart contract to be an effective state; and in response to the credit request, executing a credit business operation associated with the smart contract. According to the invention, the technical problems of time and labor consumption and easy delay in the credit approval process in the prior art are solved.

The utility model relates to the technical field of valve maintenance equipment, in particular to a portable anti-explosion valve cleaning device, which is characterized in that the polarities of the opposite surfaces of two fixed magnetic field sources are the same, and a movable electromagnetic coil is arranged between the two fixed magnetic field sources; the control unit is used for periodically changing the polarity of current supplied to the movable electromagnetic coil and driving the movable electromagnetic coil to reciprocate, the plunger pump is provided with a grease inlet and a grease outlet, the grease outlet is used for being communicated with a valve to be cleaned, and the grease inlet is used for being communicated with a grease body box; according to the utility model, the electromagnetic driving mechanism is adopted to replace the existing manual driving, so that the pumping-out speed and the working efficiency of cleaning fluid or lubricating grease are improved, the maintenance operation time of a single valve is shortened, and operators are liberated from heavy repeated physical labor.

The utility model relates to the technical field of mechanical engineering, and discloses an anti-stretching auxiliary device for replacing pipeline components, which comprises two rigid supports, upper screw rods are slidably mounted on two sides of the interiors of the two rigid supports, and two ends of each upper screw rod penetrate through the interiors of the two rigid supports. A part penetrates through the upper hoop and the lower hoop on the two sides, the lower hoop is attached to the part, the nut is rotated to achieve reverse self-locking, the fixing mode is quite reliable, the part can be prevented from loosening, the upper hoop and the lower hoop surround and clamp a pipeline, the expansion amount caused by thermal expansion and cold contraction can be effectively reduced, the stability of a pipeline system is guaranteed, and the pipeline is prevented from being damaged. And finally, the whole replacement process is convenient, efficient, time-saving and labor-saving, the working efficiency can be improved, the labor cost can be reduced, the labor intensity can be reduced, the quality and speed of pipeline maintenance work can be improved, and the service life of the pipeline can be prolonged.

This invention relates to the field of infusion rate control technology, specifically to an adaptive adjustment method for intraoperative anesthetic drug infusion rate based on reinforcement learning. The method includes the following steps: monitoring tubing pressure waveforms to extract hysteresis response features; constructing a multidimensional fluid environment state vector by splicing anesthesia depth errors; inputting the vector into a neural network to map and output a composite command containing a base flow rate and resistance torque; establishing a corrected drive signal by superimposing acceleration pulses based on tubing stiffness and compensating for flow leakage; and completing closed-loop verification based on pressure change rate deviation. In this invention, by analyzing the establishment and attenuation features of the pressure waveform to reconstruct the hysteresis response state of the physical environment, tubing compliance is incorporated into the network input space and mapped to generate a composite command containing a base flow rate and resistance torque. This eliminates drug delivery delays caused by tubing expansion and energy absorption, ensuring that motor actions are instantly converted into effective drug injection, thereby improving the real-time response speed and drug delivery control accuracy of anesthesia depth regulation.

The utility model relates to the technical field of wind shield processing, and disclose a kind of injection mold for wind shield processing, including base and fixed plate, model cavity is set up in base, the middle part of base is provided with through slot, the bottom end of fixed plate is provided with mould core, the top of fixed plate is provided with injection assembly, the inside of mould core is fixedly connected with several exhaust pipes, the middle part of mould core is provided with cavity, injection assembly includes four injection channels fixedly connected in the middle part of fixed plate, the top of four injection channels is fixedly connected with feeding pipe, the inner cavity middle part of feeding pipe is provided with conical flow guide block, injection material is injected into model cavity inner cavity from multiple positions by four injection channels simultaneously, effectively improve injection speed, ensure that material can be more evenly distributed in model cavity inner cavity simultaneously, gas generated in high temperature during mould use is discharged through multiple evenly arranged exhaust pipes, avoid that gas influences the product quality of wind shield.

The invention relates to the technical field of elevators, and discloses an elevator car interior protection structure based on multi-dimensional buffering, which comprises four groups of first splicing devices, two groups of second splicing plates and eight groups of third splicing plates, the first splicing devices comprise a plurality of groups of first splicing plates, and connecting grooves are formed in the front and rear sides of the plurality of groups of first splicing plates; a first hinge is arranged in a connecting groove of the first splicing plate, a plurality of sets of first connecting devices are connected between the second splicing plates and the third splicing plates, the first splicing devices, the two sets of second splicing plates, the eight sets of third splicing plates and the first connecting devices are matched with screw blocks, so that the device can be quickly assembled; and meanwhile, field processing is not needed, the upper side of the second splicing plate on the front side is movably connected with a turning plate, the device does not need to be fixed to the inner wall of an elevator car after being installed, therefore, rigid connection with an elevator is not needed, and the installation speed and efficiency of the device are improved through the method.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

This utility model discloses a cream whipping device for cake processing, including a whipping bucket. The whipping bucket comprises an outer bucket with an opening at the top and an inner bucket. The inner bucket is detachably embedded in the outer bucket, and a cavity exists between the outer and inner buckets. The top of the inner bucket has a flange, and symmetrical insertion rods are arranged at the bottom of the flange. A connecting block is provided at the upper end of the outer bucket corresponding to the position of the insertion rods, and the connecting block has a slot for inserting the insertion rods. A retaining block is also elastically provided at the bottom of the insertion rods. This utility model, through the cavity formed by the gap between the outer and inner buckets, and with an inlet and outlet, allows for the introduction of cooling or heating media, thereby indirectly exchanging heat with the cream in the inner bucket. This effectively avoids temperature rise caused by changes in ambient temperature and heat generated by mechanical friction, ensuring that the cream is always within the optimal whipping temperature range.

The invention provides an anti-interference control method for the concentration of a main reactant in a continuous stirring reaction kettle process, belongs to the technical field of chemical process control, and solves the problem that in the chemical process of producing cyclopentanol by catalyzing electrophilic water with cyclopentadienoic acid, the concentration of the main reactant is not influenced. The technical problem that the concentration of a main reactant is difficult to track a set value without steady-state errors under the conditions of fluctuation of feeding concentration, uncertainty and external disturbance of the continuous stirring reaction kettle is solved. According to the technical scheme, the method comprises the steps of constructing a model pre-estimation compensator and an anti-interference control structure, designing a four-dimensional decision model, carrying out parameter collaborative optimization by adopting a multi-target genetic optimization algorithm, and carrying out optimal solution selection based on a TOPSIS method. Under the condition of feed concentration fluctuation, the dynamic response speed and the anti-interference capability of the system can be remarkably improved, and faster adjustment time, smaller overshoot and stronger robustness can be realized in linear and nonlinear models.

The application discloses a large and medium-sized water and electricity engineering emergency resource assessment and prediction method and device, relates to the safety emergency technical field of water conservancy and hydropower engineering, and specifically discloses the following technical scheme: multi-source heterogeneous data such as engineering basic information, emergency resource account books and expert knowledge rules are collected, a standardized data base is constructed through cleaning and checking and semantic mapping, an evaluation index system is constructed based on the data base, the emergency resource guarantee capacity is quantitatively evaluated and the short board is identified through a comprehensive evaluation algorithm, the evaluation result is combined with an emergency scene, a task chain is deduced, resource demand is calculated and compared with inventory, the optimal storage quota is determined through multi-scenario weighted optimization, finally, a multi-target model is constructed in combination with a budget and material priority, a phased scheme is intelligently optimized and generated, visualized interaction is output, and the optimal allocation and efficient scheduling of emergency resources are completed. Through multi-target intelligent optimization and visualized interaction, the phased scheme output is realized, and the problems of slow emergency response and unscientific decision-making are solved.

The utility model discloses a kind of fixed toolings for biomass fiber fabric ironing, including fixed base, the upper portion of the fixed base is equipped with fabric ironing mechanism, fixed slide column is installed between the fabric ironing mechanism and fixed base, the surface of the fixed slide column is fixedly connected with lifting slide by sliding sleeve, the upper end surface of the fixed base is equipped with fixed track, the upper end surface of the fixed track is slidably provided with fabric transfer station, the upper end of the fabric transfer station is equipped with fabric fixing mechanism.The utility model is equipped with the fabric transfer station of convenient drive control by installation, by being provided with fabric fixing mechanism, biomass fiber fabric placed on the surface of fabric transfer station can be quickly positioned and fixed, then under the drive of pusher air cylinder, fabric transfer station can be controlled to move fixed fabric to the below of ironing panel to carry out further ironing operation, with the advantages of high degree of automation, high ironing operation efficiency, high speed.

The present application relates to the technical field of plunger pump, in particular to a variable stroke double cavity plunger pump, which comprises a shell and a driving motor, two delivery pipes are arranged in the shell, two groups of crankshaft assemblies are arranged on the output shaft of the driving motor, the shell is connected with the corresponding delivery pipe through the crankshaft assembly, and a first one-way valve and a second one-way valve are symmetrically arranged in the delivery pipe along the axis of the crankshaft assembly; the one-way valve comprises a reset assembly, a sealing assembly and a clamping assembly arranged in sequence from top to bottom, the sealing of the sealing assembly is realized by the elastic extension of the reset assembly and the adhesion of the clamping assembly; the sealing assembly on the first one-way valve is provided with a first negative pressure assembly, the sealing assembly on the second one-way valve is provided with a second negative pressure assembly, and the first negative pressure assembly and the second negative pressure assembly are oppositely arranged; by arranging the negative pressure disc and the connecting pipe, the stress area of the sealing ball under the negative pressure condition is increased, the opening speed is accelerated, and the fluid passing efficiency is improved.

The invention relates to the technical field of molecular detection, in particular to a method, a system, a kit and a probe for detecting BRCA2 gene mutation. The detection method comprises the following steps: carrying out pretreatment and PCR amplification on a blood sample, carrying out a hybridization reaction with a probe to obtain a sample, detecting the sample based on an SERS technology, and collecting an SERS spectrum. Whether BRCA2 gene mutation exists or not is judged by identifying characteristic double peaks of a cy3 fluorophore at 1188 cm <-1 > and 1393 cm <-1 >, and the whole detection process can be completed within 2 hours. According to the scheme, the region, carrying the BRCA2 gene, on the DNA can be amplified through the specific primer pair, then the DNA is specifically combined through the improved oligonucleotide probe, and detection is achieved through the reporter molecule on the oligonucleotide probe; therefore, the detection method provided by the scheme has the advantages of high detection speed, high sensitivity and high detection result accuracy, and the problems of long time consumption and high cost of the traditional PCR or NGS technology are effectively solved.

The angle-adjustable fixing tool is characterized in that a cylinder and an upper stand column form a two-step cylinder, the diameter of the cylinder is smaller than that of the upper stand column, the cylinder is inserted into an inner hole of a lower stand column and is in clearance fit with the inner hole, and the lower end of the upper stand column is pressed at the upper end of the lower stand column; the lower supporting plate is fixed to the upper stand column, the bolt penetrates through a through hole formed in the lower supporting plate and a through hole formed in the upper supporting plate correspondingly, and the nut is arranged on the bolt in a screwed mode to fixedly connect the lower supporting plate with the upper supporting plate. The upper supporting plate is fixedly connected with the V-shaped iron; the drill bit is placed in a V-shaped groove of the V-shaped iron; the drill bit is pressed and fixed in the V-shaped groove by the pressing plate positioned above the V-shaped groove of the V-shaped iron; the round nut is welded at the tail end of the V-shaped iron; the tool bolt penetrates through the round nut in a screwed mode, and the tail end of the tool bolt makes contact with the tail end of the drill bit. The drill bit supporting block is fixed to the V-shaped iron, and the head of the drill bit supporting block is inserted into the spiral groove of the drill bit. The drill bit polishing and fixing tool is low in cost and high in universality.

The utility model discloses a carbon fiber winding device, including cross -motion mechanism, winding mechanism, yarn spreading mechanism etc. The spacing roller of yarn spreading mechanism, deflection roller, flat roll cross -setting, cooperate cross -motion mechanism servo drive screw rod subassembly, realize different K number carbon silk multi -angle tension regulation and accurate flattening, evenly cover 100-500mm bobbin, and winding mechanism passes through the slidable upper slide and the winding shaft recess snap, and adapts to multi -specification bobbin, and yarn spreading roller subassembly matches different carbon silk technology. Servo motor drive, bearing low friction rotation and sensor stroke protection promote the stability of operation, and the clamping of silk piece subassembly, button board etc. Enhance the operation convenience and equipment rigidity. The device solves the problem of traditional equipment tension instability, poor versatility etc., reduces the scrap rate, and improves the winding efficiency, and is suitable for the precision production of high -end equipment manufacturing field high -performance carbon fiber.

This utility model relates to an automatic flaring and boxing structure for lithium battery top-side sealing machines. The machine body is equipped with a sealing platform, a conveying component, and a material collection box. A flaring component is installed between the sealing platform and the material collection box. The flaring component includes a flaring platform, a flaring cutter, a drive motor, and a fixed base. The flaring platform and the drive motor are installed above the fixed base. The blade of the flaring cutter is connected to the drive motor, and the tip of the flaring cutter faces the flipping platform. The surface of the fixed base is equipped with a push-pull cylinder, a guide rail, and a movable platform. The movable platform is slidably connected to the surface of the guide rail. The drive motor is installed on the surface of the movable platform. The push-pull cylinder is installed on the edge of the fixed base. The extension rod of the push-pull cylinder is connected to the movable platform. The drive motor drives the flaring cutter to rotate. The rotation of the cutter stably and reliably opens the opening of the aluminum-plastic film, forming a channel that meets the requirements.

The utility model relates to waste gas treatment technical field, and disclose a kind of oil refining VOCs waste gas treatment device, including activated carbon adsorption box body, further include several drawer assemblies, several locking assemblies, several L-type rods, several drawer assemblies are slidably installed in activated carbon adsorption box body, and locking assembly is arranged in drawer assembly;The utility model, by setting drawer assembly and locking assembly, when needing to place or replace activated carbon, staff only needs to hold handle and then rotates handle, can unlock square plate and storage drawer, then pull handle, can pull out storage drawer, then place or replace activated carbon, after the completion of activated carbon placement or replacement, rotate handle again and push handle, drive square plate and storage drawer reset, then release handle can relock storage drawer, improve the speed of unlocking and locking storage drawer, to improve the speed of placing or replacing activated carbon.

This invention discloses an image processing method, apparatus, storage medium, and electronic device. The image processing method includes: acquiring an image to be processed containing shadow regions; inputting the image to be processed into a trained neural network to obtain a shadow-removed image; wherein the neural network comprises a first-level network and a second-level network cascaded together, the first-level network receiving the image to be processed and outputting a shadow region mask image, and the second-level network simultaneously receiving the image to be processed and the shadow region mask image and outputting the shadow-removed image. This invention solves the technical problems of existing technologies that easily produce side effects on the image background layer while eliminating shadow regions and have high hardware platform requirements.

The invention relates to the technical field of medical robots, and particularly discloses a multi-degree-of-freedom ankle training mechanism and a simulation and movement assisting robot. The multi-degree-of-freedom ankle training mechanism comprises a base, a moving part and a telescopic driving mechanism, the moving part comprises a moving base plate, a pedal plate and a rotary driving mechanism, and the moving base plate is connected with the base through a first universal hinge; the telescopic driving mechanism is arranged on the base, and a telescopic rod of the telescopic driving mechanism is connected with the moving base plate through a second universal hinge. According to the scheme, the telescopic driving mechanism is arranged on the base, and the movement base plate and the pedal plate are driven by a simpler mechanism to rotate at multiple degrees of freedom, so that the size and movement inertia of movement parts are greatly reduced, and the overall structure is more compact and light. The motion response speed and the dynamic performance of the multi-degree-of-freedom ankle training mechanism can be improved, the multi-degree-of-freedom ankle training mechanism can be integrated into a simulation and motion assisting robot platform more easily, and the system integration degree is improved.

The present application relates to the field of optical interferometry, and aims at the phase distortion problem in off-axis interferometric quantitative phase imaging, and provides an interferometric microscopic phase distortion elimination method based on PACUNeXt3+ network. The method comprises the following steps: 1. using Zernike polynomials and test target pictures to simulate and generate a data set; 2. establishing and training a PACUNeXt3+ neural network model; 3. inputting the interference graph I or of the sample to be measured into the trained neural network, and outputting the background interference graph I' r corresponding to the sample without sample information; 4. using the two interference graphs I or and I' r to reconstruct the sample phase distribution φ o (x, y) without phase distortion. The present application has high precision and speed, can eliminate the secondary or high-order phase distortion in interferometric quantitative phase imaging, and has great application prospect in the field of phase imaging.

The utility model discloses a saddle beam punch forming tool, including support platform and left and right movable saddle beam shaping seat, a press head, the saddle beam shaping seat contains bottom plate and saddle beam front support part, saddle beam middle part support part and saddle beam tail stopper, the front side of bottom plate still with the movable end fixed connection of a horizontal straight line drive, the front part pointed part structure and the middle part straight line section structure of saddle beam are matched with the recess that is equipped with on the saddle beam front support part and saddle beam middle part support part correspondingly, the press head includes press block and the bottom plane is the front part of plane and middle part and beats flat punch head, and the setting position and bottom end structure of front part beat flat punch head and middle part beat flat punch head are adapted with the position and top structure of saddle beam front support part and saddle beam middle part support part on the saddle beam shaping seat respectively. The utility model has good beat flat punch forming effect to the saddle beam, and the degree of automation is good, and the safety is high, and the shaping mould replacement of corresponding different saddle beam is simple, and the equipment cost is low.