38results about How to "Easy to observe intuitively" patented technology

The invention relates to the technical field of fermentation devices, in particular to a puffed food processing and fermentation device, which includes a placing basin, an overlapping groove is provided on the top surface of the placing basin, a bag body is arranged inside the placing basin, and a card is provided on the surface of the overlapping groove slot, the inside of the card slot is inserted with a pressure rod, the pressure rod is fixed on the bottom surface of the sealing plate, the surface of the sealing plate is provided with a locking screw, the surface of the sealing plate is inserted with a pulling rod, and the bottom end of the pulling rod is fixed on the The top surface of the lifting plate, a rubber cover is arranged between the top surface of the lifting plate and the bottom surface of the sealing plate; the beneficial effect is: the puffed food processing and fermentation device proposed by the present invention is provided with a bag body inside the placement basin, and the bag body is sealed by the sealing plate Clamped on the lap joint groove, and the pressing rod on the bottom of the sealing plate presses the top of the bag body into a part of the card groove, so as to prevent the mouth of the bag body from falling off downwards. The cumbersome cleaning problem caused by the adhesion of fabrics on the inner wall of the basin.

The invention discloses a method for manufacturing a transparent rock-like toppling model sample, comprising the following steps: customizing a mold according to the size of the transparent rock-like toppling model sample; inserting a thin plate into the inner cavity of the mold and fixing it, the The thin plate divides the inner cavity of the mold into several chambers, and the first casting solution is poured in the chamber; after the first casting solution is solidified, the second casting solution is poured in the gap left after the thin plate is drawn out. solution; after the second casting solution is solidified, remove the mold and polish the corners of the model sample; the first casting solution and the second casting solution respectively simulate the rock mass and joint surface of the rock structure. The invention can be used for real simulation and observation of the whole process of rock mass toppling, deformation and destruction after the rock slope is disturbed by stress.

The invention discloses a method for establishing a simulated three-dimensional blood vessel stenosis analysis model. The method comprises the following steps: acquiring a bright blood image group and an enhanced black blood image group of a blood vessel part; performing image registration on each bright blood image by using a registration method based on mutual information and an image pyramid by taking the corresponding enhanced black blood image as a reference to obtain a registered bright blood image group; establishing a blood vessel simulation three-dimensional model by using the registered bright blood image group; aiming at each section of blood vessel in the blood vessel simulation three-dimensional model, segmenting from three preset orientations to obtain a two-dimensional section diagram of each orientation; performing corrosion operation on the blood vessel in the two-dimensional section diagram of each orientation, and recording target corrosion times when the blood vessel is corroded to a single pixel; according to the target corrosion times corresponding to the section of blood vessel in the three directions, obtaining a numerical value of a target parameter representing the stenosis degree of the section of blood vessel; and marking the blood vessel simulation three-dimensional model by using the numerical value of the target parameter of each section of blood vessel to obtain a simulated three-dimensional blood vessel stenosis analysis model.

The invention relates to the field of civil engineering test equipment, in particular to a lever loading system and an assembling method. The ground anchor beam of the lever loading system provided by the present invention is connected with the floor anchorage, the main beam is arranged at a position parallel to the ground anchor beam and higher than the ground anchor beam; Lever, a plurality of levers are parallel to each other, and each lever is perpendicular to the main beam; one end of the lever is flexibly connected to the ground anchor beam through a steel wire, the other end is hung with a hanging basket, and the hanging basket is equipped with weights; the invention also provides The assembly method of the lever loading system is described. The lever loading system and assembling method have the advantages of simple loading, occupying less structural loading space, and adapting to the simulation of large uniform loads, etc., safe, reliable, and high stability, and can realize multi-point arrangement loading for the main beam, and realize fine and graded loading. , more accurately simulate the force pattern of the main beam, and it is convenient to observe the displacement of the main beam and the cracks on the side during the test process.

The invention discloses a transfer learning-based method for establishing an intracranial blood vessel enhanced three-dimensional model. The method comprises the following steps of: acquiring a bright blood image group, a black blood image group and an enhanced black blood image group of an intracranial blood vessel part; performing registration on each bright blood image by using a registration method based on mutual information and an image pyramid by taking the corresponding enhanced black blood image as a reference to obtain a registered bright blood image group; performing empty flow artifact elimination operation on the enhanced black blood images in the enhanced black blood image group by using the registered bright blood image group to obtain an artifact-eliminated enhanced black blood image group; subtracting corresponding images in the artifact elimination enhanced black blood image group and the black blood image group to obtain K contrast enhanced images; establishing a blood three-dimensional model by using the registered bright blood image group and a transfer learning method; establishing a blood vessel three-dimensional model for blood boundary expansion by using the registered bright blood image group; according to the method, the overall state of the intracranial blood vessel is clinically, conveniently, rapidly and visually obtained so as to carry out intracranial vascular lesion analysis.

The invention relates to a test loading device for a cable-stayed bridge spanning cables and an assembly method thereof. The test loading device of the span cable-stayed bridge includes a force transmission frame, a loading beam, a steel beam, a main beam and a support; the force transmission frame is connected to the loading beam and is located above the loading beam, and the loading beam is connected to the loading beam The steel beam is connected, the main beam is located below the loading beam and arranged on the steel beam, and the support is clamped between the main beam and the loading beam. The test loading device of the span cable-stayed bridge is convenient for the observation of the side crack of the main girder and the visual observation of the displacement. The present invention also proposes the above-mentioned assembly method of the test loading device of the span cable-stayed bridge, comprising the following steps: S1, erecting the main girder; S2, erecting the steel girder at a designated position below the main girder, and erecting the loading girder on the main girder Specify the position above, and clamp the support between the main beam and the loading beam; S3, connect the loading beam with the steel beam; S4, connect the force transmission frame with the top of the loading beam.

The invention provides a method for acquiring a vocal organ profile in a medical image. The method comprises the following steps of: for the medical image, performing binaryzation on the lip and a background area in the medical image by using an automatic segmentation threshold of the lip and the background so as to acquire a lip profile; extracting an upper tooth profile, a lower tooth profile, an upper jaw profile and a lower jaw profile in a face range included in the lip profile; for an image area between the upper jaw profile and the lower jaw profile, acquiring a reliable edge point of a tongue profile; and fitting a tongue edge profile by the reliable edge point of the tongue profile. By the method, the vocal head part and the organ area can be automatically segmented from the image background, and the whole process is automatically completed without manual interaction.

The invention discloses a method for establishing a simulated three-dimensional intracranial vascular stenosis analysis model. The method comprises the following steps: acquiring a bright blood image group and an enhanced black blood image group of an intracranial vascular part; taking each bright blood image and the corresponding enhanced black blood image as an image pair, and preprocessing each image pair to obtain a first bright blood image and a first black blood image of the image pair; aiming at each first bright blood image, taking the corresponding first black blood image as a reference, and carrying out image registration by utilizing a registration method of mutual information and an image pyramid based on Gaussian distribution sampling to obtain a registered bright blood image group; establishing an intracranial blood vessel simulation three-dimensional model by using the registered bright blood image group; for each section of blood vessel in the intracranial blood vessel simulation three-dimensional model, obtaining a numerical value of a target parameter representing the stenosis degree of the section of blood vessel; and marking the intracranial blood vessel simulation three-dimensional model by using the numerical value of the target parameter of each section of blood vessel to obtain a simulated three-dimensional intracranial blood vessel stenosis analysis model.