877results about How to "Improve accessibility" patented technology

The invention relates to the technical field of skin disease diagnosis, and discloses an AI auxiliary decision support system for skin disease diagnosis, which integrates an image acquisition module, an image analysis module and a comprehensive analysis and diagnosis decision module. A high-definition image of the skin of a patient is obtained through high-precision skin photographing equipment, and a training data set is formed by combining basic information of the patient. A deep learning algorithm is utilized to train a skin disease recognition model and an illness state evaluation model, and accurate recognition of skin disease types and objective evaluation of severity are realized. And the comprehensive analysis module fuses output of the two models, constructs a fusion decision model and provides comprehensive diagnosis suggestions. And the diagnosis decision module is used for generating a disease type judgment and illness state evaluation report based on the trained model in combination with real-time image data so as to effectively assist doctors in making decisions. The accuracy, the efficiency and the popularization degree of skin disease diagnosis are improved, and complex and changeable diagnosis requirements in clinical practice are met.

The invention provides a semantic element-based knowledge question and answer accuracy improving method, which comprises the following steps of: extracting information from text data, and constructing semantic nodes; word segmentation processing is performed on a question text input by a user, a word sequence is obtained, and semantic element representation of a question is formed; in the knowledge recall stage, a golden investment algorithm is applied to achieve knowledge retrieval; matching the candidate answers with semantic elements of the user question, and scoring and sorting according to keywords; and according to the query intention of the user question and the sorted candidate answers, constructing cue words of the large model, calling the large model to generate a final answer, and presenting the output answer according to a specified format. By integrating semantic analysis, knowledge recall, natural language processing and other technologies, the intellectualization level and response accuracy of the knowledge question-answering system are remarkably improved, and higher-quality service is provided for users.

The invention relates to the field of construction planning visualization, in particular to a construction planning visualization method and system for a refuse transfer station. The method comprises the following steps: acquiring a satellite positioning map and a refuse transfer station design drawing of a to-be-developed area; image detail reconstruction is carried out on the satellite positioning map, road space distribution fitting is carried out, and a regional road distribution network is constructed; performing surrounding building positioning calculation on the detail optimization reconstruction satellite image based on a regional road distribution network, performing an optimal site selection decision, and extracting an optimal address region image; carrying out transfer station key feature point identification on the refuse transfer station design drawing, then carrying out three-dimensional point cloud modeling, and constructing a transfer station three-dimensional structure model; and according to the optimal address area image, carrying out corresponding foundation accurate matching on the transfer station three-dimensional structure model, carrying out spatial positioning mapping, and constructing a transfer station address twinborn model. According to the method, the operation efficiency of the transfer station is improved, and the rationality of building planning is enhanced.

The invention relates to the technical field of bolt mounting equipment, in particular to an angle steel tower bolt perforation mounting method. By means of autonomous navigation of the installation robot and flexible operation of the mechanical arm, rapid positioning and taking-out of bolts and nuts are achieved, and the risk of manual climbing and operation is reduced. Accurate insertion and preliminary positioning of the bolt are ensured through accurate control of the mechanical arm, then the fastening effect is enhanced by combining impact tightening with the intermittent hammering technology, the fit clearance between the angle steel is effectively eliminated, and the bolt is prevented from loosening. The whole process is highly automatic, personal errors are reduced, and the mounting quality and the working safety are improved.

The invention discloses an intelligent data information rapid checking and question-answering system, which relates to the technical field of intelligent data information and comprises a document import module, a vectorization analysis module, an NLP processing module, a question-answering matching module and a result output module. The document import module is used for receiving and importing documents including but not limited to PDF, DOC, TXT and PPT, analyzing the documents in different formats by adopting corresponding libraries and tools, identifying and classifying the files by identifying title formats and question number formats when processing the files in test questions and test paper formats, and performing preliminary analysis on the contents of the documents by utilizing a machine learning algorithm; according to the invention, the system not only can realize the rapid checking and question-answering functions of documents, but also can be applied to the field of educational training, realizes the online editing, management and test paper formation of test questions, reduces the manpower consumption in basic training business, and integrally improves the working quality and efficiency; meanwhile, the system can help enterprises to carry out internal training and examination, and improves the practicability and application range of the system.

The invention discloses a processing method and system based on a Telechat large model, and belongs to the technical field of language models. Comprising the following steps: collecting and preprocessing text knowledge; constructing a knowledge base according to the preprocessed text knowledge, decomposing the text knowledge of the knowledge base, converting the text knowledge into numeric vectors by using a text vectorization tool, and storing the numeric vectors; constructing an integrated retriever, retrieving a knowledge base, and fusing and sequencing retrieval results; and on the basis of the retrieval result after fusion sorting, a cue word is constructed, and the Telecat large model is driven to output the result. Compared with the prior art, the method has the advantages that on the basis of the basic RAG technology, three different levels of retrieval strategies are used for fusion retrieval, a more accurate and credible retrieval result is obtained, specialized questions and answers of the general large model in all fields are achieved, the auxiliary effect of the RAG technology on the general large model is enhanced, and the retrieval efficiency is improved. And landing use of large models in various fields is accelerated.

The invention relates to the technical field of current measurement, and discloses an open-close type current transformer which comprises a lower shell, one side of the top of the lower shell is rotatably connected with an upper shell, semicircular iron cores are embedded in the lower shell and the upper shell, a copper wire is wound on the iron core located in the lower shell, two ends of the copper wire are fixedly connected with butt joints, and the butt joints are fixedly connected with the upper shell. The butt joint is embedded in the outer wall of one side of the lower shell, the side, close to the butt joint, of the lower shell is rotationally connected with a mounting plate, butt joint rods are fixedly connected to the sides, close to the butt joint, of the two ends of the mounting plate, two limiting holes are formed in the mounting plate, and two limiting seats are fixedly connected to the side, close to the mounting plate, of the lower shell. Each limiting seat is aligned with the corresponding limiting hole in the same side, mounting grooves are formed in the tops and the bottoms of the limiting seats, limiting blocks are slidably connected into the mounting grooves, and the problem that due to the fact that the positive electrode and the negative electrode are reversely connected, wiring copper wires need to be detached, and then winding work needs to be conducted by replacing the positions, and operation is troublesome can be solved.

The invention relates to the technical field of piano playing, and provides a digital piano playing auxiliary system optimized by using a machine learning algorithm, the system can configure a piano music score of a to-be-played music of a player in a digital piano in advance, and determine demonstration playing information and accompaniment information for each pronunciation of the piano music score; carrying out accompaniment coupling on each pronunciation time of the accompaniment information and the pronunciation time of the demonstration playing information, and constructing an accompaniment coupling configuration model; performing playing coupling on the demonstration playing information and the pronunciation controllable parameters of the digital piano, and constructing a playing pronunciation coupling configuration model; setting playing auxiliary constraint conditions of the digital piano, determining playing auxiliary optimization data based on the accompaniment coupling configuration model and the playing pronunciation coupling configuration model, taking the playing auxiliary optimization data as sample parameters of a preset machine learning model for training, and generating a target machine learning model; the purpose of the present invention is to optimize playing music when a player performs playing.

The invention discloses a motor insulation breakdown voltage prediction method based on a continuous hidden Markov model, and the method comprises the steps: taking a plurality of groups of obtained experimental data of an insulating material of a motor in different motor operation time periods as a training set, and enabling the experimental data to comprise capacitance, insulation resistance, dielectric loss, maximum discharge capacity and breakdown voltage; constructing a continuous hidden Markov model by taking the test parameters as an observation sequence and taking the discretized breakdown voltage as a hidden state; performing iterative calculation on parameters of the continuous hidden Markov model through a Baum-Welch algorithm based on the training set, and determining optimal parameters of the continuous hidden Markov model; and based on the continuous hidden Markov model of the optimal parameters, determining a hidden state sequence with the maximum probability under the observation sequence at the current moment through a Viterbi algorithm, and determining the breakdown voltage at the current moment based on the hidden state sequence with the maximum probability. According to the invention, the breakdown voltage of the motor insulating material in the motor operation process can be effectively predicted.

The invention discloses a data processing method and device based on a visual database and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a data processing request of a user; analyzing the data processing request to obtain a corresponding key field and a logic conjunction; according to the key field, performing semantic matching in a preset data model library to obtain a corresponding target data table and a target field; synthesizing the logic conjunction, the target data table and the target field to generate a corresponding database processing statement; executing the database processing statement, and obtaining a result data set generated after the database processing statement is executed; and transmitting the result data set to a visual database terminal, and displaying the result data set on the visual database terminal according to a preset visual template. By implementing the technical scheme provided by the invention, the data query efficiency is improved.

The invention discloses a satellite networking constellation-based space-ground cooperative remote sensing agent system, which comprises a ground station and a satellite networking constellation, and is characterized in that the satellite networking constellation is divided into link establishment satellites and non-link establishment satellites according to link establishment conditions with the ground station; in the system, in response to a user input or sudden disaster event, a ground station generates an instruction file by using a ground large model and uploads the instruction file to a link establishment satellite; the link building satellite analyzes the instruction file and judges whether the link building satellite itself is a main responsibility satellite or not, if not, the link building satellite transmits the instruction file to the main responsibility satellite, and the main responsibility satellite generates a corresponding task plan through a satellite-borne large model; the main responsibility satellite generates a corresponding calculation request and / or shooting request based on the actual conditions of the main responsibility satellite and the other satellites, sends the calculation request and / or shooting request to the corresponding other satellites, receives returned calculation results and / or shooting results, generates a result file based on all the calculation results and / or shooting results, and downloads the result file to the ground station through the link building satellite; and the ground station analyzes and visualizes the result file.

The invention relates to the technical field of image transmission, in particular to a remote ultrasonic image transmission system. The remote ultrasonic image transmission system comprises an ultrasonic image feature extraction module, a bandwidth dynamic adaptation module, a real-time annotation information coding module, an HDR image processing module, a network condition monitoring module, an image and annotation synchronous transmission module and a client decoding display module. According to the method, the ultrasonic image is analyzed through a deep learning algorithm, the network bandwidth is dynamically adapted, annotation information transmission is optimized through a differential coding algorithm, the visual effect of the image is improved through local contrast enhancement and HDR processing, synchronous transmission of the image and the annotation is guaranteed, and the quality and efficiency of remote medical image transmission are improved; accurate display of important details is guaranteed through accurate processing of diagnosis-related key areas, diagnosis accuracy is improved, network fluctuation is effectively coped with through a dynamic adjustment strategy of network bandwidth, transmission stability is guaranteed, and accessibility and quality of medical services are remarkably improved.

The invention relates to the technical field of medical rehabilitation, in particular to a remote rehabilitation intelligent evaluation system. The system comprises a rehabilitation monitoring module, a remote service module, an interaction feedback module and an intelligent evaluation module. The rehabilitation monitoring module comprises an emotional signal monitoring module, a physiological signal monitoring module and a gamification performance monitoring module and is used for monitoring the emotional condition, the physiological condition and the response condition of a patient; the remote service module is connected with the rehabilitation monitoring module, the interactive feedback module and the intelligent evaluation module; the interactive feedback module is used for information interactive feedback among the patient, the rehabilitatrist and the remote service module; and the intelligent evaluation module is used for analyzing and evaluating the rehabilitation index data and the optimized rehabilitation information which are processed by the remote service module. By comprehensively monitoring the emotional condition, the physiological condition and the reaction condition of the patient, remote, comprehensive and refined intelligent assessment of the rehabilitation condition of the patient is achieved.

The invention relates to the technical field of data processing, in particular to an intelligent feature exploration system and method for structured data, and the system comprises a preprocessing module which obtains a structured data set; the feature acquisition module analyzes the structured data set and acquires structural features and type features; the algorithm determination module calculates an actual evaluation value based on the data structure features and the data type features, compares the actual evaluation value with a preset evaluation value, and determines an execution algorithm unit; the generation module generates an initial execution workflow according to a preset operation rule; the distribution module divides an initial execution workflow, calculates task complexity, distributes a plurality of processing nodes, and monitors a real-time load condition to perform calculation power distribution; the monitoring module executes a computing power distribution result, collects operation data and calculates an actual health score; and the adjustment module compares the actual health score with a preset health score, and adjusts the initial execution workflow to obtain a target execution workflow. According to the invention, the efficiency of the data analysis processing process is improved.

The invention relates to a construction method of a sectional type universal potential sliding surface model, and belongs to the field of traffic slope engineering. According to the method, different shear failure mechanisms and different shear failure characteristics of rock-soil bodies at different parts due to different stress states of all parts of the slope are considered, a three-section type universal potential sliding surface is adopted to simulate the complex failure form of the slope, and the constructed sectional type universal potential sliding surface comprises the possible type of the existing sliding surface and the possible type of the existing sliding surface; the reasonability of the shape of the sliding surface can be ensured under the condition that the concave characteristic of the curve of the sliding surface and the consistency of the motion directions of the connecting points of the adjacent sections of sliding surfaces are required, and the shape of the sectional type universal potential sliding surface can be controlled by a plurality of easily determined parameters simply and conveniently and is generated in a discrete mode; therefore, multiple advantages of universality, accuracy, usability and the like of potential sliding surface determination in actual slope engineering under complex conditions are taken into consideration, and the accuracy of slope stability evaluation is further improved.

The invention relates to a train anti-snaking shock absorber installation loosening identification method, in particular to the field of railway traffic engineering, a camera is installed to obtain train anti-snaking shock absorber image data, and the overall and contrast of the train anti-snaking shock absorber image data are changed by enhancing the brightness difference, scaling the brightness range and stretching the gray level, so that train anti-snaking shock absorber installation loosening identification is achieved. The method comprises the following steps: positioning an object boundary through a gradient violent change region of a pixel gray value in train anti-snaking damper image data, carrying out edge detection, corner detection and spot detection, carrying out classification on each candidate frame through a random forest algorithm, judging detection features, and carrying out feature tracking; a Z-score algorithm is utilized to realize conversion of train anti-snaking damper image data and judgment condition data into standard normal distribution with a zero mean value and a unit standard deviation, the standard normal distribution is selectively stored in a cloud and a local database, and an alarm is sent to a train management worker according to the degree of loosening and abnormal conditions.

The invention discloses a high-specific-surface-area high-nitrogen-oxygen-doped lignin porous carbon material as well as a preparation method and application thereof. The method comprises the following steps: firstly, preparing a supramolecular compound from lignin, magnesium hydroxide, cyanuric acid and melamine through solvothermal reaction, then directly carbonizing to obtain a nitrogen-doped lignin carbon / magnesium oxide compound, and activating the nitrogen-doped lignin carbon / magnesium oxide compound by using weakly corrosive sylvite to increase a micro-mesoporous structure. Therefore, the nitrogen and oxygen doped lignin porous carbon material with ultrahigh specific surface area and rich micro-mesopores is prepared. According to the obtained lignin porous carbon material with the high specific surface area and high nitrogen and oxygen doping, a large number of active sites can be provided due to the high specific surface area, wettability of the carbon material can be improved due to high nitrogen and oxygen doping, the utilization rate of the active sites is increased, and the problem that the pore diameter of the carbon material is not matched with a current carrier is solved due to the rich micro-mesoporous structure; and the specific capacitance of the zinc ion hybrid capacitor is obviously 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 capacitor shell production, and discloses a cylindrical capacitor shell forming device and a forming technology.The cylindrical capacitor shell forming device comprises a workbench, a male die is arranged at the top of a fixing frame, the output end of an electric push rod penetrates through a bearing frame and is fixedly connected with a female die, and the top end of the female die is fixedly connected with an oil storage box; according to the cylindrical capacitor shell forming device, when extrusion forming work is carried out, the extrusion plate drives the oil conveying pipes to stretch into the oil storage box, and at the moment, lubricating oil in the oil storage box can flow to the inner wall of the female die through the oil conveying pipes; the friction force between the female die and the metal plate is reduced, and meanwhile, due to the fact that the operation of adding lubricating oil is completed in the extrusion process, the problem that floating and sinking particles are prone to being attached to the capacitor shell can be avoided, and protectiveness of the device to the capacitor shell is effectively improved.

The invention discloses a lightweight crack penetration degree detection method based on ground penetrating radar and Swin Transform optimization, and the method comprises the following steps: 1, collecting ground penetrating radar data, and carrying out the preprocessing and feature extraction; step 2, constructing a multi-feature fusion data set; step 3, designing a two-stage through crack detection model based on Swin Transform optimization; 4, a first-stage through crack detection model optimized on the basis of Swin Transformer-YOLOv8 is designed, and a second-stage through crack detection model is designed on the basis of Swin Transformer-YOLOv8 optimization; and step 5, training and predicting the data of the training set and the test set according to the model architecture in the step 3 and the step 4. According to the invention, the accuracy of crack penetration degree detection is improved, and a scientific basis is provided for road maintenance; the detection speed is greatly improved, and the requirement of large-area rapid detection is met; the calculation complexity is reduced, the equipment performance pressure is reduced, and the detection efficiency is improved; the generalization ability of the model is enhanced, and the method can adapt to different road conditions; and the development of an intelligent road detection technology is promoted.

The invention provides an intelligent computing center multi-agent sharing method and device oriented to common computing power, and relates to the technical field of computing power infrastructure, and the method comprises the steps: S1, receiving an execution instruction sent by a first terminal; s2, creating an execution task based on the execution instruction, and making an execution plan of the execution task; s3, the execution task is distributed to at least one agent, the execution plan is sent to the at least one agent, and the at least one agent comprises at least one of an agent created based on the computing power of the intelligent computing center and an agent created based on the computing power of a second terminal; and S4, receiving an execution result of the at least one agent, and sending the execution result to the first terminal, the execution result being a result obtained by the at least one agent executing the execution task based on the execution plan. The method can improve the utilization rate of the computing power resource corresponding to the intelligent agent.

The invention relates to the technical field of bolt mounting equipment, in particular to an angle steel tower bolt perforation mounting tool, fastening equipment and a mounting robot. The hammering part is responsible for hammering the head of the bolt in the nut tightening process so that the head of the bolt can be attached to angle steel more tightly; and then the nut is gradually fastened on the bolt in an impact tightening manner by matching with the tightening part. The tightening part continuously rotates the nut to apply pre-tightening force, the hammering part hammers the head of the bolt in time, the tightening part and the hammering part jointly act to gradually reduce the fit clearance between the angle steel, so that the effect of fastening the angle steel through the bolt is achieved, and the stability of bolt connection is effectively improved.

The invention discloses a natural polysaccharide assisted MXene porous membrane electrode and a preparation method thereof, and relates to the technical field of electrodes. According to the technical scheme, hydrochloric acid and lithium fluoride are used for carrying out etching and intercalation on an MAX raw material, and MXene dispersion liquid is obtained; mixing the MXene dispersion liquid with a metal ion solution to obtain a metal ion doped MXene solution; mixing the metal ion doped MXene solution with a natural polysaccharide dispersion liquid to obtain a natural polysaccharide modified MXene dispersion liquid; mixing the natural polysaccharide modified MXene dispersion liquid with a template substance, performing vacuum filtration, and performing vacuum drying to obtain a flexible MXene film; and carrying out template substance removal treatment on the flexible MXene film to obtain the natural polysaccharide-assisted MXene porous film electrode. According to the invention, the stacking problem of the MXene material is solved, and the electrochemical performance of the natural polysaccharide-assisted MXene porous membrane electrode is obviously improved.

The invention discloses a Sm-doped modified Ni / de-USY catalyst for ammonia hydrogen production. The Sm-doped modified Ni / de-USY catalyst is prepared from the following raw materials in percentage by mass: 97.82%-98.85% of a USY molecular sieve, 0.5%-1.4% of a nickel compound and 0.22%-0.79% of a samarium oxide. The invention also discloses a preparation method of the Sm-doped modified Ni / de-USY catalyst for hydrogen production from ammonia, which comprises the following steps: performing hydrothermal pretreatment on the USY molecular sieve, performing acid treatment, and preparing the catalyst for hydrogen production from ammonia by utilizing an ultrasonic-assisted equivalent-volume impregnation method. The catalyst for hydrogen production from ammonia can efficiently decompose ammonia gas and is high in hydrogen production efficiency, and due to the fact that active metal is highly dispersed on the de-USY surface, high relative crystallinity is kept, and the pore channel structure of the complete Y molecular sieve is kept, the catalyst for hydrogen production from ammonia has high stability, and the catalytic effect can be prevented from being affected.

The invention discloses a safe storage method for flight data of an unmanned aerial vehicle. The safe storage method comprises the following steps of 1, performing data collection and primary processing; 2, selecting storage equipment, wherein the storage equipment comprises an internal storage, an external storage and a cloud storage; 3, data storage and backup are carried out, the data after primary processing are stored in a selected storage device, and backup is carried out according to requirements; 4, implementing data security measures, and performing data security protection; and 5, performing data management and maintenance, including data classification, data updating and classification and storage equipment maintenance. According to the invention, the integrity, accuracy and safety of the data can be ensured, the management efficiency of the data is improved, the storage cost is reduced, and powerful support is provided for flight data management and application of the unmanned aerial vehicle.

The invention discloses a numerical control machine tool maintenance robot which comprises a bearing mechanism, an adjusting mechanism and a maintenance mechanism, the adjusting mechanism is movably connected to the surface of the bearing mechanism, and the maintenance mechanism is movably connected to the bottom of the adjusting mechanism. The bearing mechanism is composed of a bottom frame, a supporting frame, a locking adjusting block, rolling wheels, a top frame, a lower sliding rod, an upper sliding rod and a transmission rack rod. According to the robot, through the design of the multiple mechanical arms, each mechanical arm has the multi-degree-of-freedom movement capacity and the independent adjusting capacity, each mechanical arm can independently execute different tasks, waiting time and invalid actions are reduced, and therefore the overall working efficiency is improved, different tools can be installed at the tail end of each mechanical arm, and the mechanical arms are convenient to use. The numerical control machine tool can adapt to different working environments and task types, and can enter the numerical control machine tool more flexibly in cooperation with the mechanical arm which is designed in an inclined stretching mode to repair and maintain areas which are difficult to reach, so that the accessibility and the maintenance efficiency are greatly improved.

The invention discloses a contract and law consistency review method based on fine-grained semantic multi-task learning. The contract and law consistency review method can be used for legal contract review. According to the method, a legal provision matching task serves as a main task, a BERT model is used for learning coarse-grained representation of a legal text, deeper fine-grained semantics contained in the legal text are extracted by constructing a fine-grained legal semantic enhancement module, and cosine similarity is used for matching legal provisions with high relevancy with input contract terms. According to the method, a legal text classification task is used as an auxiliary task, and the learning ability of legal text features is improved by sharing rich representations learned by legal texts in different tasks. Experiments on a CLSAD data set prove the effectiveness of the method.

The invention relates to an intelligent vending machine and a remote management system. The intelligent vending machine and the remote management system comprise the intelligent vending machine and a remote management platform. The intelligent vending machine is provided with a movable goods shelf or a mechanical arm used for storing and dynamically adjusting the positions of commodities. The sensor is used for monitoring commodity inventory, mechanical part states and environmental parameters, and is in bidirectional communication with the remote management platform through the communication module. The remote management platform comprises a commodity configuration module, generates a commodity position adjustment instruction based on real-time sales data, sales promotion activities or customer behavior analysis, and sends the instruction to the intelligent vending machine to realize real-time commodity layout adjustment. The system further comprises a fault prevention and self-repair module which analyzes sensor data through machine learning, predicts potential faults of the mechanical part and executes self-diagnosis. And the customer service module provides a video call function and realizes purchase suggestion, fault processing and refunding and changing services. According to the invention, intelligentization and adaptive optimization of commodity management are realized, and the operation efficiency and user experience of the vending machine are improved.

The invention relates to the technical field of insulin needle processing devices, in particular to an insulin needle assembling device. Compared with the prior art, the automatic assembling machine has the advantages that the automatic assembling machine is high in automation and modular design, the complete process from needle head supply to precise combination of needle heads and needle bases is achieved through close fit of the needle supply part, the needle taking part, the needle inserting part and the base supply part, the assembling efficiency and accuracy are improved, and sanitation and safety of the whole process are guaranteed.

The invention provides a slope cropland fertilizing device and method, belongs to the technical field of fertilizing, and aims to solve the problem that a fertilizing device special for slope cropland is lacked in the prior art. Comprising a vehicle body, a chemical fertilizer box, a fertilizer distributor, a mixer, a fertilization angle adjusting assembly and a fertilization gun, a power device is arranged on the vehicle body, the vehicle body is driven by the power device to advance, and a handrail is fixedly arranged on the back of the vehicle body; the chemical fertilizer boxes are symmetrically and fixedly arranged on the two sides of the vehicle body, through holes are formed in the bottoms of the chemical fertilizer boxes, the through holes in the bottoms of the chemical fertilizer boxes are communicated with the fertilizer distributors, and the fertilizer distributors are used for quantitatively measuring chemical fertilizers; the bottom of the fertilizer distributor is communicated with the mixer; the fertilization angle adjusting assembly is arranged at the bottom of the vehicle body; the fertilization angle adjusting assembly is used for adjusting the fertilization angle; the fertilizing gun is mounted on the fertilizing angle adjusting assembly.