57results about How to "Preserve integrity" patented technology

The invention discloses a nondestructive testing method for pipe cutting decision of an austenitic steel pipe. The nondestructive testing method comprises the following steps: pretreating the surface of a to-be-tested 18Cr-8Ni series austenitic steel pipe to specified roughness; calibrating and detecting relative permeability values of a plurality of positions of the pretreated steel pipe under set parameters by using a permeability meter; comparing each measured relative permeability value with a pre-established corresponding steel grade aging rating threshold database; and according to the proportion of the detection points exceeding the threshold value, whether the 18Cr-8Ni series austenite steel pipes need to be subjected to pipe cutting sampling or not is decided. According to the method, the quantitative relation between the relative permeability and the aging degree of the material is established through nondestructive testing of the relative permeability of the 18Cr-8Ni series austenite steel pipe in service, so that the aging level of the metallographic structure is evaluated, and a basis is provided for on-site pipe cutting decision.

The invention provides a fault root cause determination method and device, electronic equipment, a storage medium and a product, and belongs to the technical field of cloud computing. The method comprises the steps that after a target service requested by a target service request fails, tracking data, log data and index data corresponding to each node are acquired based on node information of at least one node on a service path corresponding to the target service request, and the nodes provide a service interface called in the process for the target service; performing feature extraction on the tracking data, the log data and the index data corresponding to each node to obtain a tracking feature vector, a log feature vector and an index feature vector corresponding to each node; fusing the tracking feature vector, the log feature vector and the index feature vector corresponding to at least one node to obtain a total fusion feature vector; and determining a fault root cause of the target service based on the total fusion feature vector. The fault root cause determination efficiency can be improved, and the determination cost can be reduced.

The invention relates to the technical field of Korla bergamot pear detection, and discloses a Korla bergamot pear organic acid content nondestructive detection method, which comprises: collecting a bergamot pear sample with consistent maturity, no damage and complete surface layer; the surface is wiped with absolute ethyl alcohol and then naturally air-dried, only the surface layer is subjected to vacuum freeze drying and smashing, and the integrity of a main body is reserved; according to the method, ICP-MS, HT-IRMS and GC-MS / EMIS are combined with an HS-HPME extraction technology, multi-dimensional detection of mineral elements, isotope contents and ratios and volatile components is carried out, and an isotope and element characteristic database and a regional characteristic volatile substance fingerprint spectrum are constructed; analyzing and screening characteristic indexes through orthogonal partial least squares, and eliminating interference factors; and establishing a linear discrimination model, forming an organic acid content detection and origin identification integrated technical system, and optimizing detection parameters. According to the method, rapid and nondestructive testing and source area traceability are realized, and reliable technical support is provided for quality evaluation of the Korla bergamot pears.

The utility model relates to the technical field of vegetable washing, in particular to a bubble vegetable washing machine which comprises a vegetable washing machine body, the vegetable washing machine body comprises a machine box, a material groove is formed in the machine box, a conveying net belt is arranged in cooperation with the material groove, a first mounting frame is arranged at the top of the material groove, and a spraying pipe is arranged on the first mounting frame through a bearing; a supporting frame matched with the conveying mesh belt is arranged on the material tank, a second mounting frame is arranged on the supporting frame, a plurality of flushing pipes are arranged on the second mounting frame through bearings, flushing heads are arranged on the flushing pipes, one end of each of the spraying pipe and the flushing pipes is sealed, and the other end of each of the spraying pipe and the flushing pipes is provided with a water inlet pipe through a sealing bearing; a rotation adjusting structure is arranged between the spraying pipe and the washing pipe, a high-low frequency bubble generating structure matched with the material groove is arranged in the machine box, the washing angle of vegetables during washing can be flexibly adjusted, the washing sufficiency is improved, and the erosion effect on the vegetables in the washing process is reduced.

This invention discloses a machining process for tortuous parts made of fiber-reinforced composite materials, comprising the following steps: tooling design, part clamping and positioning, rough machining of area AB, failure handling, finish machining of area AB, rough machining of area C, finish machining of area C, removal of end faces, and finished product inspection. This invention provides a machining process for tortuous parts made of fiber-reinforced composite materials. By designing specialized tooling according to the part's shape and introducing failure handling, it reduces the waste of plywood raw materials compared to traditional machining processes. It also solves the problems of stress deformation and datum misalignment during the machining of tortuous parts made of fiber-reinforced composite materials, possessing significant economic and social value.

The utility model discloses an amanita spore collecting device which comprises a supporting rod, a gravity base is installed at the lower end of the supporting rod, a connecting base is fixedly installed at the upper end of the supporting rod, an installing base is fixedly installed at the upper end of the connecting base, a petal base is rotationally connected to the surface of the installing base, and a collecting paper bowl is installed on the inner side of the petal base. An elastic sleeve is integrally connected to the middle of the interior of the collection paper bowl; an air blower in the middle of a mounting seat is used for blowing air from the bottom of an amanita strain, spores in a gill are blown into a collection paper bowl, collection of the amanita spores is completed, an opening structure on one side of a valve seat is combined with a rotating structure arranged between the supporting rod and a gravity base, so that the supporting rod is inclined, the valve seat is made to be close to the strain, and the spores in the amanita strain are collected. Therefore, the whole strain does not need to be collected for spore collection, the integrity of the strain is reserved, and the actual culture quantity and the overall medicinal value of the amanita are not influenced.

The application discloses a strawberry sugar content efficient nondestructive detection method based on an intelligent algorithm, and comprises the following steps: acquiring a plurality of strawberry spectrum data and sugar content reference values, and dividing the strawberry spectrum data into a training set, a verification set and a test set; performing wavelet denoising and polynomial baseline correction on the spectrum data to obtain preprocessed data; extracting key characteristic wavelengths from the preprocessed data, and constructing an initial SVM model based on the key characteristic wavelengths; optimizing the initial SVM model by using the training set to obtain an optimized SVM model; acquiring target strawberry spectrum data, and inputting the optimized SVM model to obtain a detection result. The application realizes rapid, nondestructive and accurate detection of the sugar content of strawberries, and provides technical support for intelligent development of the strawberry industry.

The utility model relates to a rice drying and dust removing device, including main box body and the drying cylinder of rotation connection in main box body, be equipped with a plurality of through -hole on the drying cylinder, the main box body upper end is connected with the air supply spare, the main box body bottom is connected with the collection spare, the technical scheme of the present application has the beneficial technical effect: through the rotation design and through -hole structure of drying cylinder, cooperate air supply spare and form dynamic air circulation, realize the fast and even drying of rice, utilize the dust and moisture that the collection spare's negative pressure adsorption effect synchronously removes the dust and moisture that rice surface adheres, significantly improve processing efficiency and rice cleanness. Moreover, the rotation design of drying cylinder makes rice in the drying process present the tumbling state, avoids the partial overheating or extrusion breakage and uneven drying problem caused by the long time stationary of rice in the traditional drying mode. Cooperate the even air supply of through -hole, maximum limit keeps the integrity and nutrient component of rice, has improved the evenness of drying. The problem that the prior art is prone to drying incompletely is solved.

The invention discloses cation modified nano graphene oxide and a preparation method thereof, the transverse size of the cation modified nano graphene oxide is 10-100 nm, the surface of the cation modified nano graphene oxide is non-covalently bound with organic quaternary ammonium salt cations through electrostatic interaction, and the organic quaternary ammonium salt cations are provided by a cationic surfactant. According to the invention, electrostatic interaction is combined with a quaternary ammonium salt cationic surfactant, and a hydrophobic long alkyl chain of the quaternary ammonium salt cationic surfactant is exposed outwards, so that the product can be stably dispersed in various organic solvents such as methanol, ethanol, acetone, ethyl acetate, N-methyl pyrrolidone (NMP), N, N-dimethylformamide (DMF), dichloromethane and the like; the limitation that traditional nano graphene oxide is only limited to a water phase is avoided, and the compatibility and application potential in the fields of polymer composite materials, oil paint, high-performance resin and the like are improved.

The invention relates to the technical field of data processing of multi-source data fusion, and discloses an investigation data integration analysis method and system based on multi-source data fusion. According to the scheme, a multi-source sensor is deployed, original voltage is collected, and standardization is carried out in each physical quantity range; constructing temperature, pressure and vibration three-dimensional observation and states based on a unified time index, and setting initial values; recursive prediction is carried out by using a constant preserving model; counting a multi-measuring-point variance in a static window, determining observation noise in combination with the minimum quantization step size, and calculating fusion gain; linearly updating and correcting covariance, and then carrying out dimension-by-dimension amplitude limiting according to an abnormal upper limit; carrying out space averaging on the three-dimensional results of the multiple measuring points at each sampling moment, and carrying out rollback if necessary; and a fusion sequence and a statistical report are formed in the whole cycle. According to the method, the data scale is unified, subjective parameters and computing power burden are reduced, adaptive noise modeling along with the environment is achieved, stable noise suppression and fault resistance are achieved, and continuous output and comparable analysis are guaranteed.

The invention relates to the technical field of document merging, in particular to a document merging system and method, equipment and a medium, the system comprises an interaction and configuration module, a document analysis and routing module, a document merging module and a verification and repair module, and the verification and repair module is integrated in the system to be in communication connection with the document merging module. And the verification and repair module is used for verifying and repairing the page header and the page footer of the output document, so that the segments, the page header and the page footer of all the documents in the output document are kept in the original format before merging. By means of the mode, the multi-format documents can be intelligently, automatically and losslessly combined in batches, and it is ensured that the format and header and footer completeness of each document are reserved.

The application provides a kind of based on feature enhancement and composite model's ultra-short-term wind power prediction method, belongs to ultra-short-term wind power prediction technical field, this method includes: by calculating the mutual information of multiple meteorological characteristics and wind power output and normalizing, screening to obtain key features, and constructing wind power prediction fitness function, by minimizing wind power prediction fitness function, obtain enhanced input features;By introducing one-dimensional convolutional neural network and bidirectional long short gate recurrent unit, construct the residual network of bidirectional long short gate recurrent unit and convolutional neural network fusion, and introduce space-time attention mechanism, construct to obtain composite residual network ultra-short-term wind power prediction model;And use multiple meteorological characteristics and enhanced input features to predict to obtain ultra-short-term wind power prediction result;The application solves the problem that the influence of meteorological multi-scale fluctuation on output cannot be accurately grasped, prediction is disconnected, disturbance is not considered and prediction accuracy continues to decline with step increase.

The invention relates to the technical field of semiconductor equipment cleaning, and particularly discloses a shield component cleaning method which comprises the following steps of pre-protection, acid leaching, water leaching, gravity sand blasting, high-pressure water washing, ultrasonic cleaning, drying and packaging. In the pre-protection step, the bottom of the shield part is protected by using an acid and alkali resistant adhesive tape, and the four layers of PE bags are pressed by using a cover matched with the shield part and are pressed on the inner edge of the cover; the volume ratio of nitric acid to hydrofluoric acid in the acid leaching step is (5-7): 1; and in the gravity sand blasting step, aluminum oxide sand is adopted for carrying out surface sand blasting on the shield component, and the sand blasting pressure is 3-4 kg / cm < 2 >. The method for cleaning the shield component has the advantages of being short in film removing period, high in cleaning efficiency, safe, reliable and the like, the basic functions of the shield component can be effectively recovered, and repeatability and reliability of the PVD technology are guaranteed.

The invention discloses a radar HRRP deformation target recognition method based on feature correction, and the method comprises the steps: carrying out the preprocessing of the radar one-dimensional HRRP echo data of a to-be-recognized target, and obtaining the HRRP original target data; superposing block sparse signals with different sparseness and Gaussian white noise on the HRRP original target data to obtain HRRP deformation target data; constructing a lightweight feature extraction network, and performing pre-training by using HRRP original target data; a feature correction network comprising a multi-dimensional parallel feature correction module, a feature fusion module and a de-noising post-processing module is constructed, and training is carried out after the feature correction network is cascaded with the feature extraction network; and combining the feature extraction network with the feature correction network to obtain a deformation target identification model so as to realize identification and classification of a deformation target. According to the method, the intrinsic feature distribution of the deformed target can be effectively recovered, and the recognition accuracy and generalization ability of the non-cooperative target in a low signal-to-noise ratio environment are remarkably improved.

The invention relates to a video processing method based on audio and picture synchronization, and the method comprises the steps: screening candidate segments from a video material library according to the content inputted by a user, determining a target segment from the candidate segments based on a deep interaction algorithm and semantic entity correlation analysis, determining the video time length of the target segment, and outputting the video time length of the target segment. Determining the line number of the target segment based on the large language model, calculating a target playing duration according to the line number and a preset dubbing speed, judging whether the target segment has a duration deviation based on the target playing duration and the video duration, and if the target segment has the duration deviation, playing the target segment based on the target playing duration and the video duration. And performing adaptive speed change processing on the target clip to generate a final video clip. According to the method and the device, the problem that the audio and the picture of the video are asynchronous is solved, the speed change algorithm is dynamically optimized based on the deviation degree of the target playing duration and the video duration, and the integrity of the picture and the audio is kept while the audio and picture synchronization is ensured.

The invention discloses a lithium battery positive plate stripping and recycling method, and belongs to the technical field of battery recycling. The recycling method comprises the following steps: shearing the waste ternary positive plate to obtain first positive plate fragments; immersing the first positive plate fragments into a solution containing a monomer and an initiator, and enabling the solution to completely permeate into the first positive plate fragments to obtain second positive plate fragments; after in-situ polymerization, carrying out mechanical crushing and sorting to respectively obtain positive electrode black powder and a positive electrode current collector; wherein the waste ternary positive plate comprises a positive current collector and a positive material layer arranged on at least one surface of the positive current collector. According to the invention, the separation of the positive electrode active material layer and the positive electrode current collector is realized through the combination of interface in-situ embrittlement and mechanical crushing, and the problem that the recovery of the positive electrode material cannot meet the requirements of high yield, high purity and low damage at the same time is solved.

The application provides a high-temperature early warning probability calculation method and system based on dynamic updating and whole point scanning. The high-temperature early warning probability calculation method based on dynamic updating and whole point scanning comprises the following steps: S1, historical data acquisition and sequence construction; S2, whole point alarm interval calculation; S3, alarm threshold input and real-time monitoring; S4, real-time early warning probability judgment and display; S5, dynamic updating mechanism. The high-temperature early warning probability calculation method and system based on dynamic updating and whole point scanning provided by the application has the advantages that scientific probability output can be provided, and early warning prompts can be given at an earlier time of the day.

The invention relates to the technical field of big data analysis, in particular to a space-time big data acquisition and analysis system and method based on the Internet of Things, and the method comprises the following steps: inserting a drift compensation tag at the tail part of each time grid block, and outputting the time grid block with the drift compensation tag; combining the associated data items into a logic data unit; performing semantic isomorphic compression on the logic data unit and the data items with the same spatial hash codes at an edge node to generate a compression block with a spatial-temporal index; and the cloud server receives the compressed block, performs time conflict disambiguation and event-level causal reasoning on the spatio-temporal index by using a causal chain engine, and directly outputs drifting-free and redundancy-free spatio-temporal knowledge which is used for driving high-order application. According to the method, cross-space causal path matching and standard time sequence verification of the uploaded data are realized, and a plurality of actually occurring event-level causal chains can be automatically identified.

The utility model relates to aviation equipment technical field, concretely relates to a support for adding the support for adding the security communication equipment to the helicopter: including airborne antenna subassembly, pod subassembly and rack subassembly, airborne antenna subassembly utilizes the existing structure of fuselage, and the fixed point position is used to the line cutter support, foot rest support, door frame support and front block support, and the installation frame is directly connected with the original hole position of helicopter through bolt, does not need the additional trepanning or structural modification, and the fuselage integrity is completely reserved, the pod subassembly is inlaid with the original landing gear foot rest structure through the hoop, and the rack subassembly is then multiplex seat connecting piece mounting point, all connecting points adopt the bolt hole or hinge structure of helicopter in the prior art, do not need the additional trepanning or modification, under the premise of guaranteeing the structural strength, make the security communication equipment installation efficiency improve, and the fuselage has no any permanent change after dismantling, and the overall structural strength of helicopter will not be influenced.

The invention discloses a preparation process of a shoe mold forming mold, which is characterized by comprising the following steps: S1, generating a preparation three-dimensional model; s2, the prepared three-dimensional model is sliced, and a printing control code containing a scanning path is generated; s3, the material is put into a printer to be printed and formed, and an initial mold is obtained; s4, the primary mold is taken out of the printer and subjected to primary treatment, and a shoe mold semi-finished product is obtained; and S5, secondary treatment is conducted on the shoe mold semi-finished product, so that the surface shape of the shoe mold semi-finished product reaches a preset threshold value, and a final finished product is obtained.According to the method, it can be guaranteed that the mold has the stable supporting effect while optimal weight reduction is achieved, and the printing success rate is high.

The application discloses an environment-friendly anti-static bubble bag and belongs to the technical field of bubble bags. The bubble bag comprises an upper bag body, a lower bag body and a bag sealing assembly which are matched with each other. The upper bag body and the lower bag body are both made of degradable materials. Bubble film layers are compounded on the outer walls of the upper bag body and the lower bag body. Anti-static coating layers are arranged on the outer surfaces of the upper bag body and the lower bag body. The bag sealing assembly is detachably connected to the butt joint positions of the upper bag body and the lower bag body. The upper bag body and the lower bag body are detachably separated through the detachable bag sealing assembly. The upper bag body and the lower bag body are made of degradable materials. The outer walls of the upper bag body and the lower bag body are compounded with bubble film layers, so that the cushioning and protection performance is considered. The bag body can be disassembled when the articles are taken out through the detachable design of the bag sealing assembly, so that the inner wall of the bubble bag without the anti-static coating layer is fully exposed. The degradable base material can be greatly accelerated in the degradation rate. The packaging protection practicability, the anti-static safety and the whole-cycle environment-friendly adaptability are considered.

The utility model relates to the technical field of liquid tumor suction, and discloses a liquid tumor suction device which comprises a negative pressure pump, a filter assembly and a suction head, the negative pressure pump is communicated with the suction head through the filter assembly, and one end, close to the filter assembly, of the suction head is fixedly connected with a corrugated pipe. The end, close to the filtering assembly, of the corrugated pipe is fixedly connected with a second connecting pipe. According to the device for sucking the liquid tumor, when the liquid tumor is pumped, tissues in the liquid tumor are filtered and separated through the filtering main body on the filtering assembly, finally, the clean tumor is reserved in the storage bottle, the liquid tumor does not need to be filtered for the second time due to the arrangement of the filtering device, the operation process is simplified, and the working efficiency is improved. Meanwhile, filtering and pumping are achieved at the same time, the extra pollution risk is avoided when the liquid tumor is filtered, and the integrity and safety of the liquid tumor sample are kept.

The application discloses a self-anchoring structure for integral lifting of a steel box girder, comprising a bridge tower and a constructed steel box girder, wherein the bridge tower is provided with a ring-shaped self-anchoring support body, the bottom of the bridge tower is provided with a support bottom embedded steel plate, the ring-shaped self-anchoring support body is connected with the support bottom embedded steel plate and the constructed steel box girder, the top of the constructed steel box girder is provided with a self-anchoring truss, and the end of the self-anchoring truss towards a mounting surface is provided with lifting equipment. The application further discloses a self-anchoring method for integral lifting of a steel box girder, and the steps are as follows: 1, fixing the support bottom embedded steel plate at the bottom of the bridge tower; 2, installing the ring-shaped self-anchoring support body; 3, hoisting the prefabricated steel box girder in situ, and welding adjacent prefabricated steel box girders to make them into the constructed steel box girder; 4, installing the steel box girder inner support circular pipe and the self-anchoring truss on the constructed steel box girder; and 5, installing the steel box girder to be hoisted. The application can economically and rationally lift the steel box girder to a specified position, and can be widely applied in the field of building construction steel structure installation.

The utility model provides a construction waste crushing device which comprises a shell, a crushing device, a crushing device and a crushing device, wherein the shell is provided with a crushing cavity in the vertical direction; the extrusion plate is matched with the shell to extrude and crush the construction waste in the crushing cavity so as to separate concrete wrapping the outer wall of the reinforcing steel bar; the output end of the extrusion plate is connected with the shell, the output end of the driving part is connected with the extrusion plate, and the driving part is used for driving the extrusion plate to move in a reciprocating mode. The extrusion plate is matched with the shell to primarily extrude concrete and reinforcing steel bars which are connected together, and the impact block is matched with the shell to extrude and crush the concrete and the reinforcing steel bars again; the concrete block is continuously impacted by the impact block, the concrete block is broken, then the steel bars wrapped in the concrete block are separated from the concrete, recycling of the steel bars is facilitated, the steel bars are prevented from being doped in the concrete aggregate, and reproduction of the concrete aggregate is facilitated.

This invention proposes a large baseline light field video depth estimation method, belonging to the field of visual image processing. Specifically, it involves: First, acquiring images using a light field camera, sequentially reading in the original single-viewpoint video and splitting it into frames, grouping sub-aperture video frames from different viewpoints at the same time. For each group of images, horizontal and vertical EPI images are generated using the row and column pixels of each frame. Then, gradient map template detection and graph-based image segmentation are performed on the center row / column to obtain macro-pixel block segmentation reference results for each EPI frame. Next, the target pixel position is located in each EPI frame as a preliminary depth estimation result, and the preliminary estimation result is mapped using triangular coordinates to determine the depth information of the target pixel, i.e., the depth information of the original pixels contained in the horizontal / vertical EPI images. This invention improves the coordinate matching accuracy of macro-pixel blocks and also enhances the accuracy of the depth estimation results.

The application discloses a wide-angle delivery multi-modal AI quantum dot outdoor digital display device. The device comprises a camera, a multi-array microphone, a processor and a UHD large screen. The processor comprises speech recognition on an audio signal to obtain an initial text and a speech confidence level; the speech confidence level is compared with a preset threshold interval, if the speech confidence level is higher than the threshold interval, the initial text is taken as a recognition result; if the speech confidence level is within the threshold interval, characters of the initial text lower than a first threshold are replaced with corresponding characters of a lip recognition text and taken as the recognition result; if the speech confidence level is lower than the threshold interval, the lip recognition text higher than a third threshold is taken as the recognition result, otherwise, a recognition failure is taken as the recognition result; and the recognition result generates a corresponding interaction strategy. The application introduces a multi-modal recognition mechanism, so that a user can still realize stable man-machine interaction function without wearing any device.

This application provides a method for preparing decellularized pericardium, employing a combination of specific pretreatment, sterilization, defatting, decellularization, and freeze-drying processes. This method effectively removes antigenic substances from animal tissues while maximally preserving the integrity of bioactive components and structures in the material. Simultaneously, the preparation process effectively incorporates inorganic metal ions, polysaccharides, and drugs to prevent adhesions. The resulting decellularized pericardium possesses both natural rough and smooth surfaces. The smooth surface has a dense fibrous structure, effectively blocking the invasion of adhesion tissues without affecting tendon function. The rough surface allows tissue ingrowth, facilitating rapid vascularization and tendon repair. Furthermore, the decellularized pericardium is loaded with functional components, further promoting tendon healing and preventing adhesions.

The application relates to the field of molecular sieve preparation, and discloses a FAU structure molecular sieve and a preparation method thereof. The preparation method comprises the following steps: performing first ion exchange on Na-FAU molecular sieve and an ammonium salt, and then performing filtration, washing and first calcination to obtain a first calcined molecular sieve; performing second ion exchange on the first calcined molecular sieve and the ammonium salt, and then performing filtration, washing and second calcination to obtain a second calcined molecular sieve; performing acid treatment on the second calcined molecular sieve by using fluosilicic acid and an organic acid, and then performing filtration and washing; performing sodium hydroxide solution treatment on the obtained molecular sieve, and then performing filtration and washing; performing ammonium salt solution treatment on the obtained molecular sieve, and then performing filtration and washing to obtain a FAU structure molecular sieve product. The preparation method can obtain the FAU structure molecular sieve which simultaneously has a high silicon-aluminum ratio, high crystallinity, a high specific surface area and a high mesopore volume.

The application discloses a kind of heterojunction photoelectric detectors and preparation method thereof.The detector includes: substrate;Semiconductor epitaxial structure, at least including channel layer being arranged on the substrate and being located on the barrier layer of channel layer;Wherein, the thickness and component of the barrier layer are configured so that no two-dimensional electron gas is generated at the heterojunction interface between the channel layer and the barrier layer;First electrode and second electrode, set in the semiconductor epitaxial structure and electrically connected with the two-dimensional electron gas, constitute the electrical input end and output end of the heterojunction photoelectric detector.By configuring the thickness and component of the barrier layer so that no two-dimensional electron gas is generated in the channel, the damage of etching process to the channel is avoided, and the ultraviolet detector with extremely low dark current, high photocurrent density and no need to rely on etching process to deplete the channel is realized.

The present application belongs to the technical field of crop-oriented conveying, and particularly relates to an adjustable bulk material-oriented conveying device, which comprises a step feeding table with a top flat-drying box, a slag receiving groove, a slag conveying belt, a dustproof box, a double-track ring-shaped guide rail circulating conveying structure, a servo motor, a supporting rod, a first telescopic spring rod symmetrically arranged on the supporting rod, and an electromagnetic vibration structure, the electromagnetic vibration structure is connected with a screening basket with a lifting lug through a steel rope, the bottom of the screening basket is provided with a flexible cloth with a sieve hole, the servo motor is connected with a material pushing structure, the material pushing structure comprises a second chain wheel set, a driving rod, a belt pulley, a crank, a rocker, a pushing block and a pushing piece, the double-track ring-shaped guide rail circulating conveying structure comprises a chain wheel and a dustproof shell, the present application realizes integrated operation of material flat-drying, conveying, screening and slag removal, reduces grain breakage and dust raising, improves conveying efficiency and material quality, and has good adjustability, stability and long service life.