361results about How to "Improve storage efficiency" patented technology

The invention relates to the technical field of big data storage, in particular to a storage control method and device based on big data. The method comprises the following steps: acquiring an original data stream and application demand information; performing data dynamic correlation analysis on the original data flow according to the application demand information to obtain a dynamic update data correlation graph; performing feature vector generation on the dynamic update data association graph to obtain a data feature vector; performing intelligent quality evaluation on the data feature vector to obtain a data quality label; performing timeliness evaluation according to the data feature vector, and performing access popularity evaluation to obtain a timeliness score and an access popularity score; and acquiring system resource load condition information. The storage resource utilization rate, the data access performance and the overall efficiency of the system are improved by solving the limitation of a traditional method in the aspects of static data management and resource allocation.

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention discloses a large model knowledge base construction method based on multi-granularity retrieval. The method comprises the steps of obtaining a target text and analyzing a document structure, splitting and reorganizing text data according to three levels of titles, fragments and sentences, and constructing three levels of knowledge of the titles, the fragments and the sentences; using a large language model to construct a generative index as question-level knowledge according to the sentence-level knowledge; using a vector model to generate a first vector representing index keys of fragment-level knowledge and / or sentence-level knowledge, and a second vector representing index keys of title-level knowledge and / or question-level knowledge; and respectively storing the first vector and the second vector into a vector database, and storing the index values and the index types corresponding to the first vector and the second vector into a relational database. According to the method, multi-granularity document knowledge base construction is achieved, the expression modes of knowledge under different granularities are expanded, the accuracy of user query and knowledge matching is improved, and the problem that information is lost or incomplete in an existing method is solved.

The invention discloses a surveying and mapping geographic information data management method and system based on cloud computing, and relates to the field of geographic information, and the method comprises the steps: constructing a semantic segmentation model based on a convolutional neural network Deep Lab, and carrying out the feature extraction and semantic annotation of a surveying and mapping geographic data set through the semantic segmentation model, and obtaining a geographic element set; performing spatial division and indexing on the geographic element set by adopting an R tree spatial indexing method to obtain a hierarchically organized geographic element tree; constructing a graph neural network model based on a graph convolutional network GCN, and performing topological relation modeling on the geographic element tree by using the graph neural network model to obtain a time-space attribute graph containing geographic semantics and topological relations; and constructing a space-time prediction sequence model based on the space-time diagram neural network STGCN, and performing evolution trend prediction on the space-time attribute diagram by adopting the space-time prediction sequence model. Aiming at the problem that dynamic prediction of geographic elements is difficult to realize in the prior art, the spatial-temporal evolution trend of the geographic elements is predicted, and dynamic prediction is realized.

The invention discloses a personalized digital human image creation and generation system based on deep learning, which relates to the technical field of digital human generation and comprises a multivariate data acquisition module, an image creation module, a model storage module, a matching module and a rendering interaction module. The multivariate data acquisition module collects facial images and whole body photos through a camera, and records voice samples through a microphone. According to the invention, by constructing the multivariate data acquisition module, the image creation module, the model storage module, the matching module and the rendering interaction module, full-process automatic processing from data acquisition to digital human image generation is realized; the multivariate data acquisition module can comprehensively capture the appearance and voice features of a user, and the image creation module extracts feature vectors by using a deep learning technology and generates a personalized digital human image by using a generative adversarial network technology.

The invention relates to the technical field of hierarchical storage, in particular to a photo-electromagnetic storage method and system based on hierarchical management, and the method comprises the following steps: collecting read-write speed, error rate, durability and cost data of optical storage and electromagnetic storage media, carrying out the sorting and grading processing of the data according to the read-write speed and the error rate, and carrying out the sorting and grading processing of the data; and performing score calculation on each storage medium to obtain a medium performance score. According to the method and the device, the data is effectively distributed to the most suitable storage medium by accurately scoring the performance of the storage medium and combining specific requirements of the to-be-stored data, so that the data access speed and efficiency are improved, the total storage cost is reduced, and particularly, when a large amount of data is processed, the data compression level and the encoding format are dynamically adjusted, and the data compression efficiency is improved. The storage efficiency of the data is further optimized, data redundancy is reduced, the overall performance of data storage and access is remarkably improved through optimization measures, and meanwhile long-term safety and integrity of the data are ensured.

The invention discloses a customs intelligent specimen cabinet monitoring system, relates to the technical field of specimen cabinet monitoring, and aims to solve the problems that the monitoring strength of an existing specimen cabinet is reduced, and abnormality checking cannot be carried out in time. According to the invention, the most suitable transmission channel is flexibly selected through different transmission requirements and environmental conditions, the adaptability and flexibility of the system are enhanced, the feature extraction of the environmental monitoring data covers the monitoring parameters of each sensor, and the comprehensive monitoring of environmental factors is ensured. The monitoring of real-time video data provides intuitive visual information, so that workers can intuitively know the real-time condition in the specimen cabinet, manual intervention is reduced through automatic detection, recognition and alarming, the automation and intelligence level of the monitoring system is improved, and the monitoring efficiency is improved through automatic data classification, visual display and anomaly analysis. And the intelligent level of the customs intelligent specimen cabinet monitoring system is improved.

The invention relates to the technical field of material storage management, in particular to a BIM-based construction site material monitoring management method and system. The method comprises the following steps: obtaining a construction project drawing; performing drawing information extraction on the construction project drawing to obtain construction project material information data and construction project structure data; performing construction project three-dimensional modeling on the construction project material information data and the construction project structure data to generate construction project three-dimensional modeling data; obtaining total construction material data; and carrying out material information modeling on the total construction material data by using a BIM technology to generate total construction material modeling data. According to the invention, accurate three-dimensional modeling, intelligent marking, regionalized storage and real-time allocation of the construction site materials are realized through the BIM technology, and the accuracy of construction site material monitoring management and the emergency response real-time performance are improved.

The invention provides a silicon-carbon negative electrode material, a preparation method thereof and a lithium ion battery. The silicon-carbon negative electrode material comprises a porous carbon substrate, nano silicon deposited on the surface and in pores of the porous carbon substrate, and a conductive polymer layer coated on the surface of the nano silicon, the porous carbon matrix is formed by taking zinc gluconate as a carbon source through high-temperature pyrolysis and carbonization. According to the silicon-carbon negative electrode material, the preparation method thereof and the lithium ion battery provided by the invention, the silicon-carbon negative electrode material has high specific surface area, excellent conductivity and stable cycle performance, and shows excellent cycle stability and relatively high reversible capacity in the charge-discharge process when being used for the lithium ion battery; the energy density and the cycle life of the lithium ion battery are effectively improved, a new technical approach is provided for preparation of the silicon negative electrode material of the lithium ion battery, and the preparation method has a wide application prospect.

The embodiment of the invention discloses a real-time warehouse management method and equipment based on digital twinning, relates to the technical field of Internet of Things, and is used for solving the problems of low efficiency and high cost of existing warehouse management. The method comprises the following steps: constructing a digital twin storage model according to building data and Internet of Things data corresponding to a current storage scene; clustering and grouping the current goods according to the arrival scanning information of the current goods and the historical storage information to obtain key storage information of the current goods in each group; querying the digital twin storage model according to the key storage information to obtain storage area information corresponding to each group of current goods; according to the warehousing starting point position corresponding to each group of current goods, the position information of each warehousing area and the key storage information, a logistics warehousing path of each group of current goods is planned, an initial logistics warehousing path is obtained, scheduling optimization is performed on the initial logistics warehousing path based on a data twin warehousing model, and the logistics warehousing path of each group of current goods is obtained. And warehousing and storing the current goods of each group.

The utility model discloses a squat silo multipoint discharging device, which relates to the technical field of bin discharging and comprises a distributing bin arranged at a feeding port above a squat silo, a central blanking pipe is arranged at the bottom of the distributing bin and communicated with a cavity of the distributing bin, and the distributing bin is provided with a discharging port. A discharging port of the center discharging pipe right faces the middle position in the squat silo, the center discharging pipe is used for laying the bottom of the squat silo, a plurality of side elephants are further arranged on the side wall of the material distribution bin in a downward inclined mode around a shaft and communicated with a cavity of the material distribution bin, the free ends of the side elephants extend towards the side wall of the squat silo, and the center discharging pipe is arranged on the side wall of the material distribution bin. A plurality of blanking openings are formed in the side articulated chutes in the length direction, a first pneumatic valve and a second pneumatic valve are arranged at the positions where the center blanking pipe and the side articulated chutes communicate with the distributing bins correspondingly, and the center blanking pipe and the side articulated chutes are used for blanking in a matched mode, so that materials are evenly stacked; and the problems of serious material grading and unbalance loading of the silo wall existing in the original single blanking point are reduced.

The invention discloses a key value storage system indexing method oriented to an NVM-NVMe SSD (Non-Volatile Memory-Non-Volatile Memory Express Solid State Disk) hybrid architecture, which comprises the following steps of: constructing a heterogeneous storage architecture taking cold and hot data perception as a core driving mechanism, coordinating and managing two types of storage media, namely a non-volatile memory NVM and a solid state disk NVMe SSD, and realizing efficient identification, layered writing and dynamic migration of cold and hot data. According to the method, the characteristics of low delay, durability and byte addressing of the NVM are utilized, the frequency and I / O overhead of Flush and Compaction operations are reduced in a data write-in path, meanwhile, the problem of mixed storage of cold and hot data is avoided, and therefore the overall performance and storage efficiency of a system are remarkably improved. In addition, by introducing an asynchronous migration module, the method can dynamically adapt to the change of data popularity along with time evolution, and effectively support high performance and high availability of the key value system in long-term operation.

The straw recycling, transferring and storing equipment comprises a primary crushing box, two saw pressing rollers corresponding to material pressing rollers are arranged in the primary crushing box, and servo motors for driving the saw pressing rollers to rotate are arranged at the ends of the two saw pressing rollers correspondingly; the side, away from the servo motor, of the primary crushing box is fixedly connected with two reciprocating push rods moving in the opposite directions through a support, and the telescopic ends of the two reciprocating push rods are rotationally connected to the rotating ends of the two saw pressing rollers through connecting bearings correspondingly. The two servo motors work to drive the two saw pressing rollers to move in an engaged mode so that straw can be crushed, the two saw pressing rollers can be driven to move in a reciprocating mode in cooperation with the two reciprocating push rods in the reverse direction so that the straw not prone to breakage can be sawed off, and compared with the prior art, the straw crushing device is good in straw crushing effect and high in practicability. The efficiency is high, and blockage in the subsequent straw treatment process is effectively avoided.

The invention relates to the technical field of data encryption, in particular to an intelligent medical information data encryption method and system and a medium. The method comprises the following steps: acquiring medical information data by using an electronic health recording system; initial AES-256 encryption is conducted on the collected medical information data, the encrypted medical information data are stored in a database, a medical information encryption database is obtained, and the medical information encryption database comprises at least one medical information record; and carrying out expiration timestamp distribution on each medical information record to obtain a medical information encryption expiration timestamp. According to the method, efficient and safe management of medical information data is realized through dynamic management of encryption strength, expiration time check and intelligent contract optimization, so that the security of the data is improved, the burden of the system is reduced, the compliance and flexibility of medical data storage and access are enhanced, and the overall performance of users and the system is improved.

The invention discloses a lightweight processing method and system for PDMS three-dimensional design data, and relates to the related field of data processing, and the method comprises the steps: receiving PDMS three-dimensional design data to be processed, and carrying out the preprocessing of attribute data; extracting a three-dimensional geometric model, performing geometric fidelity weight analysis, and establishing geometric fidelity weight distribution; determining a lightweight display scene; carrying out degradation processing through a polygon degradation module, and loading a visual distortion analyzer to carry out global visual distortion constraint; after the attribute information is rendered, target lightweight PDMS three-dimensional design data is generated; and transmitting the data to a three-dimensional display terminal for calling and displaying after hierarchical storage. The technical problem that it is difficult to guarantee the model precision, details and visual quality while improving the storage and transmission efficiency in existing lightweight processing is solved, and the technical effect of effectively guaranteeing the model precision, details and visual quality while improving the storage and transmission efficiency is achieved.

The invention relates to the technical field of carbon burying and utilization, and particularly discloses a method for increasing the carbon dioxide burying amount by using a gas-soluble foaming agent. The gas-soluble foaming agent is adopted, in-situ foaming can be achieved through formation water, the carbon storage space is increased, and the dynamic stability effect can be achieved after foam is broken; in-situ foaming is realized around a shaft through segmented alternate injection of a front gas-soluble foaming agent slug and a rear CO2 slug; by setting a real-time injection pressure feedback mechanism and dynamically adjusting the injection mode, early breakthrough and loss of carbon dioxide are reduced, the sealing efficiency is remarkably improved, and the burying effect of carbon dioxide is effectively improved.

The invention relates to a micro-grid multi-objective optimization scheduling method and device, and belongs to the technical field of micro-grid optimization scheduling, and the method comprises the following steps: determining the structure of a micro-grid system, and collecting the equipment parameters of each distributed power supply; establishing a micro-grid optimization scheduling model according to the characteristics of the micro-grid and the collected equipment parameters, wherein the micro-grid optimization scheduling model takes minimization of user operation cost and environment cost as an objective function; generating an initial population of the MOPSO algorithm by using a chaotic equation, and improving the value of a learning factor by using a dynamic adjustment parameter to obtain an improved MOPSO algorithm; and performing optimization solution on the micro-grid optimization scheduling model by using an improved MOPSO algorithm to obtain the output power of each distributed power supply. According to the invention, the cost and environmental factors of the micro-grid are considered at the same time, and effective scheduling and management of the micro-grid are realized.

The invention relates to a memory allocation method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving a memory allocation request of to-be-stored data to a memory database, wherein the memory allocation request comprises a data storage amount of the to-be-stored data; determining a target memory block from a virtual process space of the memory database according to the data storage amount; the virtual process space is a storage space mapped to a disk file based on a memory mapping mechanism, and data stored in the virtual process space is synchronously stored in the disk file; the size of the target memory block is greater than or equal to the data storage amount; and distributing the target memory block for the to-be-stored data, wherein the target memory block is used for storing the to-be-stored data. By adopting the method, the storage capacity and the storage efficiency of the memory database can be improved.

The invention provides a power transmission project GIM model analysis loading method and device, equipment and a medium, and belongs to the technical field of power transmission engineering. A power transmission project GIM model is obtained, and tower group graph data in the power transmission project GIM model is extracted and analyzed; performing simplification processing on the tower group graphic data according to different levels, and outputting a simplification result as a three-dimensional model; slicing the three-dimensional model to form a model file; extracting state information of tower equipment in the model file; analyzing the attribute information of the tower equipment in the power transmission project GIM model; carrying out three-dimensional space arrangement on tower equipment to form a form of a power transmission line; analyzing the positions of the grounding wire and the hanging grounding wire, and storing the key point data of the grounding wire; and based on the space range control model, setting a three-dimensional model, a loading range of a grounding wire and a hanging grounding wire and a visible height of the three-dimensional model. By setting the loading range and the visible height, the loading and rendering efficiency of the model can be optimized, and the interaction experience of the user is improved.

The invention discloses an intelligent sorting method and system applied to a conveyor belt, a medium and a program product, and the method comprises the steps: calculating the stacking density of articles, and determining the stacking density as an article compression ratio; determining the discharge port as an abnormal discharge port; reading weight parameters, volume parameters and target discharge ports of the to-be-sorted articles on the conveyor belt; marking the to-be-sorted articles corresponding to the target discharge port which is the abnormal discharge port as to-be-adjusted articles, and calculating a density value; calculating a linear distance according to the physical space coordinates of other discharge ports, and generating an initial standby discharge port grade table according to the linear distance; calculating corresponding residual capacity and residual bearing capacity; calculating a matching coefficient; reordering to obtain a final standby discharge port grade table; the discharging port with the first sequence in the final standby discharging port grade table serves as a temporary target discharging port; and the sorting execution device is controlled to transfer the to-be-adjusted articles to the temporary target discharging opening. The sorting efficiency of the conveying belt when the material opening breaks down is improved, and then the yield of objects sorted by the conveying belt is improved.

The invention relates to the technical field of environmental monitoring, and discloses an exclusive encrypted file format of a universal water-gas-sound-residue pollutant data acquisition instrument. File structures including a file header setting section, a data storage format definition section, a self-checking section and an encryption algorithm section are sequentially stored in a file to form an exclusive encryption file format of the universal water, gas, sound and residue pollutant data acquisition instrument, various encryption and checking measures are adopted, and the safety and integrity of data in the transmission and storage process are ensured. The method has the advantages that data are stored in the database and prevented from being tampered and stolen, data storage efficiency and retrieval speed are increased due to reasonable data storage formats and index designs, data management and analysis are facilitated, file damage or data tampering can be timely discovered through CRC32 check and data integrity check codes, data reliability is guaranteed, and data storage efficiency and retrieval speed are increased. And on the basis of an XML structured storage mode and an open file format design, subsequent addition of new pollutant parameters or function extension is facilitated, and good expandability is achieved.

The embodiment of the invention provides an archive management method and system based on big data analysis, and belongs to the technical field of data processing. The method comprises the steps of obtaining initial text data and initial image data corresponding to an initial user; performing deduplication processing on the initial text data to obtain target text data, and performing deduplication processing on the initial image data to obtain target image data; performing association relationship analysis on the target text data and the target image data to obtain a target relationship corresponding to the target text data and the target image data; performing text classification on the target text data to obtain a target type corresponding to the target text data; and performing data storage on the target text data and the target image data according to the target type and the target relationship to obtain a target storage result. The problems that in the prior art, the occupied storage space is increased and the data access and retrieval efficiency is reduced due to the fact that texts and images are often used as independent information units to be processed and an effective integration mechanism is lacked are solved.

The invention discloses a data storage method and system for a storage chip, and the method comprises the steps: selecting reference data and sample data from target storage data, and carrying out the analysis, and obtaining a data similarity value; the data similarity value is compared with a data similarity threshold value, and if the data similarity value is larger than or equal to the data similarity threshold value, the reference data and the sample data are classified into the same classification data set; obtaining a residual storage space, judging whether the residual storage space is smaller than a residual storage space threshold value or not, and if yes, analyzing data in the classified data set to obtain a data set key value; identifying the non-key data group to generate a compression optimization signal; based on the compression optimization signal, judging whether the residual storage space of the system is smaller than a residual storage space threshold after compression processing, and if yes, analyzing the non-high access frequency data to obtain a compression priority value; and performing optimization compression on the non-high access frequency data according to the compression priority value.

The invention discloses a method for improving the solving speed of a rotating sphere non-singularity electromagnetic scattering field, and belongs to the field of electromagnetic engineering. Aiming at the electromagnetic scattering problem of a rotating structural body in the field of practical engineering, the invention provides a method for improving the non-singularity electromagnetic scattering field solving speed of a rotating body, and effective analysis of the rotating body is realized based on a moment method. A rotating structure body has important application value in electromagnetic radiation and scattering research due to geometric symmetry, but under the condition of long wavelength, a traditional surface integration method often has the problem of singularity, and numerical stability and precision are affected. Therefore, a method for effectively eliminating singular integrality and converting a dense matrix needing to be solved into a sparse matrix is designed, the calculation efficiency is remarkably improved, and the memory consumption is reduced. A non-singularity surface integral equation is obtained through derivation, simulation and numerical simulation are carried out through a specific electromagnetic rotating body device model, an efficient numerical solution is provided for the electromagnetic scattering problem, and the method has wide engineering application prospects.

The invention relates to the technical field of detection sample sealing, in particular to an instant-drying type slide sample sealing protection device which comprises a slide tray provided with a slide placing groove used for placing a slide; the linear driving module is connected with the slide tray and is used for driving the slide tray to linearly act; the glue adding module comprises a glue dripping head located above the moving path of the slide tray and is used for adding glue to the sample area of the slide; the glue scraping module comprises a scraping blade, and the scraping blade is located above the moving path of the slide tray and used for scraping glue on the slide; and the glue drying module is positioned on one side of the glue scraping module and is used for drying glue on the slide. According to the method, a brand new process is adopted, cover glass does not need to be placed on the slide, the problem of cover glass fragmentation and the problem of mounting medium pasting are avoided, the problem of mutual intersection of smear lamination storage is solved, the storage efficiency of a smear cabinet is improved, and rapid smear sealing can be achieved.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention discloses a workbin type robot carrying system using a 3D visual system and a mechanical arm for automatic sorting, and particularly relates to the field of machine vision and artificial intelligence, the workbin type robot carrying system comprises an order recognition module, a warehouse-in order processing module, a warehouse-out order processing module and a standby module, and all the modules are connected through signals; the order identification module is used for identifying order information, generating an identification signal and sending the identification signal to the warehouse-in order processing module or the warehouse-out order processing module; the warehouse-in order processing module is used for processing the warehouse-in order and sending a processing completion signal to the standby module after processing is completed; the warehouse-out order processing module is used for processing the warehouse-out order and sending a processing completion signal to the standby module after processing is completed. Sorting operation can be directly carried out at the designated goods shelf position, the problem that a multi-layer shuttle vehicle or a mobile robot moves back and forth to the material position and the sorting point is solved, and the automatic storing and taking speed in storage is increased.

The invention relates to the technical field of archive management, and discloses an archive management method and system.The method comprises the steps that archive basic data are obtained, and the archive basic data comprise archive forming time, archive content and archive confidentiality deadline; performing classification score calculation according to the archive basic data to obtain archive classification scores; based on the archive classification score and a preset classification scoring standard, obtaining an archive archiving category; calculating an importance rating factor according to the archive basic data and the archive archiving category; performing importance score calculation based on the importance rating factor to obtain an archive importance score; and according to the archive importance score and a preset storage period standard, selecting a storage period for archiving. According to the method, the file storage efficiency can be improved, and the retrieval speed is increased.

The invention relates to the technical field of medical data processing, in particular to a tumor nursing data processing system based on cloud computing, and the system comprises a multi-scale feature analysis module which obtains tumor nursing data, splits the tumor nursing data into a plurality of time dimensions, extracts multi-scale features of the tumor nursing data, and sends the multi-scale features to a cloud computing module; and carrying out importance sorting on the multi-scale features of the tumor nursing data to obtain a preliminary tumor nursing data feature alignment result. According to the method, feature decomposition and analysis of multiple time scales are carried out on the tumor nursing data, feature changes in different time dimensions are effectively captured, and the comprehensiveness of feature recognition is enhanced. According to the method, important features are sorted, the matching relation is dynamically adjusted, feature combinations with high relevance are subjected to weighted fusion, meanwhile, the large-scale data processing efficiency is improved through distributed optimization, and the accuracy and adaptability of data integration are remarkably improved.

The utility model discloses a constructional engineering drainage device in the technical field of building construction. The constructional engineering drainage device comprises a bottom plate, a working cabinet is fixedly connected to the top of one end of the bottom plate, a working inner cavity is formed in the inner wall of one side of the working cabinet, a drainage pump is fixedly connected to the inner wall of the working inner cavity, and fixing columns are fixedly connected to the tops of the two sides of the end, away from the working cabinet, of the bottom plate. The self-locking universal wheels at the bottom of the bottom plate are matched with the handle to drive the whole device to move, when the device is used at different positions, the storage battery supplies power to the drainage pump, then water in an area needing drainage is separated out through the drainage pump and the water suction pipe and discharged through the drainage pipe, and after drainage operation is completed, the device is convenient to use. The manual rotating disc drives the storage roller to rotate to recycle the drainage pipe, during recycling, the distance between the two extrusion wheels is adjusted according to the size of the drainage pipe, the drainage pipe is extruded through the extrusion wheels, and therefore residual water in the drainage pipe is removed, and the storage efficiency of the drainage pipe is improved.