203results about How to "Reduce storage pressure" patented technology

The invention relates to the technical field of data processing, in particular to a real estate surveying and mapping data processing method and system based on intelligent data. The method comprises the following steps: acquiring multi-source real estate surveying and mapping data; performing space-time synchronization on the multi-source real estate surveying and mapping data to generate multi-source real estate surveying and mapping space alignment data; real estate space feature extraction is carried out on the multi-source real estate surveying and mapping space alignment data to obtain real estate space feature data; performing cross-domain feature fusion on the multi-source real estate surveying and mapping data based on the real estate spatial feature data to generate real estate surveying and mapping fusion spatial feature data; public surveying and mapping point confirmation is carried out on the multi-source real estate surveying and mapping data through the real estate surveying and mapping fusion spatial feature data, and real estate surveying and mapping public surveying and mapping point data are obtained. Through multi-source data space-time synchronization, feature fusion, distortion correction, high-dimensional space reconstruction, semantic tag association and chain storage, the efficiency and accuracy of real estate surveying and mapping data processing are improved.

The invention provides a decentralized cross-chain user identity authentication method based on a password accumulator. The method comprises the steps that a representative node registers a cross-chain system identity for a user; the plurality of representative nodes jointly run a threshold signature protocol to generate an access voucher for the user; the relay chain verifies signature information and member certification information in the user cross-chain request based on the on-chain identity of the user and an accumulator, and if verification is passed, cross-chain transaction is allowed; and the representative node verifies the signature information and the member proof information in the user identity revocation request, if the verification is passed, the representative node and other representative nodes operate a threshold signature protocol together, and the proxy chain management node issues revocation elements and updates the accumulator. By utilizing the scheme of the invention, the user identity can be quickly verified in a decentralized cross-chain transaction scene, and credible access and identity revocation of the user are supported.

The invention discloses a coal mine carbon emission prediction method and system based on digital twinning and LSTM, and the method comprises the steps: building a carbon emission source information coding standard based on a business demand and a digital twinning model of a mining area in combination with a production link and an auxiliary production link of the mining area; performing carbon emission edge calculation on the carbon emission energy consumption data of the carbon emission source by using a coal mine carbon emission accounting method to obtain carbon emission data; establishing a corresponding mapping relation between the coal mine digital twinborn model and a database of carbon edge computing equipment by utilizing a carbon emission source information coding standard; according to the mapping relation, mapping the carbon emission data of each link to a coal mine digital twinborn model one by one; and establishing a carbon emission prediction model by using an LSTM algorithm, inputting historical actual carbon emission data into the model, and predicting carbon emission data of the current day. According to the method, the current carbon emission situation of each link of coal mine production and auxiliary production can be known, the carbon emission trend of each emission point is mastered in real time, and the emission reduction strength of enterprise energy-saving measures is quantified.

The invention belongs to the technical field of road disease detection, and particularly relates to a visual image and radar image fused road disease detection method, which comprises the following steps: S1, a camera and a laser radar collect road data; s2, preprocessing the collected data of the laser radar; s3, fusing the image information and the radar information; s4, redundant results are removed; and S5, uploading the road disease information. Redundant data in a radar image are effectively reduced by optimizing a laser radar data processing flow, so that the storage pressure of mobile equipment is relieved, and by means of an innovative mode of deep fusion of visual image data and laser radar point cloud data, not only can the road disease type be accurately identified, but also the depth information of the disease can be acquired, and the accuracy of the road disease is improved. And the accuracy and efficiency of road disease detection are greatly improved.

The invention discloses a client information management method and system based on real estate transaction, relates to the technical field of client information management, and solves the technical problem that client information management cannot be evaluated according to a real-time product demand trend, so that client types cannot be distinguished according to different demand trend stages in the prior art. Specifically, a demand trend evaluation unit evaluates the demand trend of a real-time sales product, collects demand trend information, substitutes the demand trend information into a formula to obtain a demand trend evaluation coefficient in a real-time circulation stage, and deduces that the current circulation stage is in a purchaser market or a supplier market according to coefficient comparison; a customer stage analysis unit performs customer stage analysis according to the real-time circulation stage, obtains the speed-to-time ratio information of a supplier and the speed-to-time ratio information of a purchaser, deduces whether a current customer is a customer in a knowing stage or a customer in an intention stage according to information comparison, and correspondingly sends the customer to a customer information management platform; the label classification setting unit performs label classification setting on clients.

The invention relates to the technical field of data storage management, in particular to a data management method and system for an automobile transaction platform. The method comprises the following steps: obtaining a to-be-stored data sequence corresponding to an automobile transaction platform, and carrying out index pair classification extraction and storage space limit quantification calculation to obtain a storage release memory space limit degree corresponding to each type of index field; performing sequence storage division on the corresponding to-be-stored data sequence to obtain a storage data sequence segment corresponding to each type of index field; obtaining a query access rate and a storage interval approach access degree of the corresponding sequence segment, and carrying out storage activity evaluation analysis and index storage priority measurement analysis to obtain an index storage priority measurement of each type of index fields for each sequence segment; and carrying out priority storage management on the corresponding storage data sequence segments. According to the invention, mass data in the automobile transaction platform can be managed efficiently and accurately, so that the storage process of the data is optimized.

A communication method and system of a DPTP protocol, a product and a medium relate to the field of data transmission, and the method comprises the following steps: under the condition that a dot matrix pen establishes a connection with an upper end application, the dot matrix pen receives a protocol level and a data standard number sent by the upper end application to the dot matrix pen; the dot matrix pen returns a confirmation message to the upper end application, wherein the confirmation message comprises an equipment authentication strategy number; if the authentication strategy number indicates that authentication is needed, the dot matrix pen carries out authentication operation on an authentication instruction sent by the upper end application; under the condition that the authentication operation result is that authentication succeeds or the authentication strategy number indicates that authentication is not needed, the dot matrix pen packages the collected writing track data into message data in a data format according to the data format corresponding to the data standard number; and the dot matrix pen sends the message data to the upper end application. By implementing the method, the stability of data transmission between the dot matrix pen and the upper application can be improved.

The invention provides an NFC chip intelligent data loading method and system, and the method comprises the steps: effectively extracting and modeling historical use data, so as to predict a future use scene; generating a priority list of the loaded data according to the scene prediction result; the loading strategy is adjusted according to the real-time signal intensity, and the loading reliability of the high-priority data is ensured; the loaded data is quickly analyzed, and it is ensured that the data can be used by a user in time; and optimizing the scene prediction model and the loading strategy based on feedback data in the loading process to form closed-loop optimization. According to the method, intelligent scene prediction, signal intensity perception and hierarchical loading strategies are introduced, so that the data loading efficiency and reliability are comprehensively improved.

The invention relates to an intelligent path planning method based on Unity3D, which simulates a working environment by means of Unity3D, converts the working environment into a two-dimensional grid map, and guides and controls an AGV in combination with a corresponding path algorithm to ensure the stability and safety of the AGV delivery process. In addition, the invention also provides a warehouse management system which uses the above intelligent path planning method to realize planning of AGV distribution routes in a complex warehouse environment, optimize resource allocation in warehouse logistics links, reduce accidental loss in a material transportation process, improve safety and accuracy of logistics services, and improve the efficiency of the warehouse management system. Therefore, the management cost is reduced and the operation efficiency of the whole production system is continuously improved.

The invention provides a memristor neural network cloud edge collaboration method and a memristor neural network cloud edge collaboration system based on multi-mode sensing. The method belongs to the field of artificial intelligence multi-modal data processing. The method mainly comprises the following steps: distributing multi-modal data subjected to synchronous acquisition and time-space alignment to an FPGA (Field Programmable Gate Array) and a memristor array for parallel processing; splicing the processed multi-modal data in a channel dimension to generate a multi-channel fusion feature tensor; a memristor array is used for carrying out storage and calculation integrated calculation on the multi-channel fusion feature tensor, and an advanced feature map is output; receiving a differential update packet issued by the cloud, and selectively updating the weight in the memristor array according to the update packet; and carrying out in-situ fine tuning on partial weights in the memristor array based on locally acquired data. According to the method and the constructed system, the memristor array can be effectively compensated, the calculation precision is improved, and rapid self-adaption of a local scene and continuous and efficient iteration of global knowledge are achieved.

The invention discloses an image super-resolution method and device based on a multi-cascade single look-up table and a storage medium, and relates to the field of image processing, the image super-resolution method comprises an N-cascade look-up table LUT structure and an inference model, and the LUT structure stores a spatial mapping relation of searching a high-resolution HR image by using a low-resolution LR image; in the previous N-1 layers of cascaded LUT structures, the previous layer of LUT structure stores an index value for querying a mapping relation in the next layer of LUT structure, and the Nth layer of LUT structure stores a pixel value of an HR image; when an LR image is input into the reasoning model for reasoning query, the reasoning model performs step-by-step index query based on the N-layer LUT structure, and a corresponding HR pixel value is obtained from the Nth-layer LUT structure. According to the scheme, layer-by-layer searching is carried out in a multi-layer index mode, so that the LUT storage pressure is relieved, the weight of the channel is dynamically adjusted by using the RCAB, the network identification capability is improved, and the SR method indexing efficiency is improved.

The invention discloses a picture display method for a display module in a DSC compression mode, and the method comprises the following steps: 1, compressing a DSC picture; step 2, DSC picture storage; and step 3, reading the DSC picture, in the step 1, compressing the manufactured DSC picture by corresponding platform compression Slice, and preparing for storage work after the compression is completed, in the step 2, storing the compressed DSC picture in a memory card or Flash of the test fixture, and in the step 3, calling a decompression code, and reading the corresponding Nth DSC compressed picture in the memory card or Flash. By reducing the size of the DSC compressed picture, one picture can be filled with 300 pure colors or flicker pictures, in this way, only 3-4 256-order gamma for storing WRGB can be stored, original 256 * 4 is not needed, the effect of reducing the use amount of a storage memory of the jig is achieved, the storage pressure of the jig is reduced, and meanwhile it can be guaranteed that the display effect is consistent with the normal effect.

The invention provides a block chain up-chain and down-chain storage method and system based on file fragments, and relates to the technical field of block chain storage, and the method comprises the steps: obtaining transaction encryption file data to be subjected to up-chain storage and a block chain node; fragmenting the transaction encrypted file data, classifying block chain nodes, and determining a main node for each class of block chain nodes; storing the fragmented transaction encryption file in the divided different types of block chain nodes, and confirming that contents sent by each type of block chain node are consistent through a consensus algorithm; calculating a hash value for each group of fragmented data for positioning, collecting storage fragments among different types of blockchain nodes by using an intelligent contract in a blockchain broadcast form, and determining correct fragmented file contents through a consensus mechanism so as to realize on-chain information verification; and completely splicing the storage fragments passing the on-chain information verification to obtain an initial transaction encrypted file data complete file, thereby realizing the on-chain distributed storage of the block chain.

The invention relates to the technical field of ship track area retrieval, in particular to a ship historical track area retrieval method which comprises the following steps: S1, constructing an index; s2, searching a historical track area; the method comprises the following steps: (1) a user gives a geographic space area and a time range as query conditions; (2) adjusting a coding mode of the Google S2; (3) decomposing a geographic space region input by a user by adopting a region coverage algorithm of Google S2 to obtain a group of geographic coding values containing the region; and (4) converting the obtained geocoding value, carrying out quick retrieval by utilizing a MySql database leftmost prefix matching principle and fuzzy query, and giving track data meeting conditions by the database. According to the method, the required query times are reduced, the response speed of the database is accelerated in combination with concurrent query, and the storage pressure of the index is relieved.

The embodiment of the invention is suitable for the technical field of block chains, and provides a block chain data migration method and equipment, the method comprises the steps that a state tree is generated based on state data of an account in a block chain, the state tree is a B + tree based on a copy-on-write technology, and each leaf node of the state tree is used for storing the state data; under the condition that data migration is triggered, determining a to-be-migrated target state tree; sending the state data of the target state tree to an expansion node of the main node; if migration completion information returned by the extension node is received, a data mapping table stored in the main node is updated, and the data mapping table is used for representing the mapping relation between the state data stored in the extension node and the extension node; and deleting the target state tree in the main node. Through the method, migration of the state data can be realized, so that the storage pressure of the block chain main node equipment is reduced, and meanwhile, high consistency of the data can be kept in the data migration process.

The utility model provides a medical bed for lumbar vertebra nursing. The medical bed comprises a bed frame; the mattress is laid on the bed frame, and a hole is formed in the waist of the patient; the supporting assembly is arranged in the hole of the mattress; the supporting assembly comprises a mounting groove which is clamped in the cavity of the mattress and lapped on the bed frame; the cushion block has elasticity, and the shape of the cushion block is the same as that of a notch of the mounting groove; and the outer protection pad covers the outer side of the cushion block and is embedded into the notch of the mounting groove along with the cushion block. The device overcomes the defect that a medical bed in the prior art is inconvenient to use due to the fact that a whole bed pad or mattress is adopted to support and nurse the waist of a patient.

The invention provides an image processing method and device, and the method comprises the steps: calling a Hash algorithm to process a first plaintext image corresponding to a first user, and carrying out the calculation to obtain a first designated initial value; inputting the first specified initial value into the chaotic system for iteration to obtain a first pseudo-random sequence; performing time-varying scrambling and compression on the first plaintext image by using the first pseudo-random sequence and the current first timestamp to obtain a first encrypted compressed image; quantizing the first encrypted compressed image; embedding the specified associated information of the first user into the quantized first encrypted compressed image to obtain a second encrypted compressed image; and performing nonlinear replacement on the second encrypted compressed image to obtain a final third encrypted compressed image. According to the scheme, the plaintext image is subjected to time-varying scrambling, compression, quantization, non-linear replacement and other processing to obtain the final encrypted and compressed image, and the storage pressure of the image can be reduced on the premise of ensuring the image transmission security.

The application discloses a kind of relative radiation calibration methods and systems of remote sensing image based on quantile, it is related to remote sensing image processing technical field, the method includes: collecting satellite historical image data and separating according to spectral band;The value of each column of single-band image detector is sequentially arranged in ascending order, and quantile value is uniformly extracted to generate the quantile feature sequence of each column;The arithmetic mean value of all columns under the same quantile level is calculated, and the global reference quantile distribution is constructed;Based on least square method, the linear mapping relationship between each column quantile sequence and reference distribution is constructed, and the radiation correction gain and bias coefficient of each detector column are obtained;The original image is corrected column by column using the coefficient;The present application effectively eliminates the vertical strip noise caused by the non-uniformity of sensor response, overcomes the limitations of traditional calibration under the meteorological conditions and platform maneuvering, significantly improves the timeliness and image radiation quality of high-frequency and high-precision calibration.

The invention relates to the technical field of solid waste recycling, and provides an anti-dispersion grouting material based on coal-based solid waste and a preparation method and application thereof.The anti-dispersion grouting material is prepared from coal gangue, fly ash, silica fume, cellulose, a water reducing agent and an alkali activator, and the alkali activator is prepared from deionized water, sodium hydroxide and water glass. The anti-dispersion grouting material based on the coal-based solid waste is prepared according to the following steps: mixing coal gangue, fly ash, silica fume, cellulose and a water reducing agent, and stirring to prepare a powder precursor; an alkali activator is added into the prepared powder precursor, the alkali activator is prepared from deionized water, sodium hydroxide and water glass, stirring continues to be conducted, and the anti-dispersion grouting material based on the coal-based solid waste is prepared. The anti-dispersion grouting material with excellent fluidity, stability and mechanical properties can be prepared, an innovative path is provided for recycling of coal-based solid waste, the material cost is remarkably reduced, and the environmental protection benefit and the engineering application value are improved.

The invention provides a reservoir monitoring data storage method and device. The method comprises the following steps: according to equipment identifiers of monitoring equipment for monitoring the same target area of a reservoir, acquiring alternative data corresponding to one of the equipment identifiers from monitoring data stored in a cache of a target terminal; according to the payload data and the timestamp of each piece of alternative data, performing duplicate removal on each piece of alternative data to obtain each piece of target monitoring data; storing the target monitoring data to a disk memory of a target terminal; wherein the payload data or timestamps between the target monitoring data are different. According to the reservoir monitoring data storage method provided by the embodiment of the invention, the storage pressure of the disk memory of the terminal can be reduced.

The present application relates to solid waste recycling technical field, provide a kind of based on coal-based solid waste's anti-dispersion grouting material and its preparation method and application, the material is made of coal gangue, fly ash, silica ash, cellulose, water reducing agent and alkali activator, wherein, alkali activator is made of deionized water, sodium hydroxide and water glass.The based on coal-based solid waste's anti-dispersion grouting material is prepared according to following steps: after mixing coal gangue, fly ash, silica ash, cellulose and water reducing agent, stirring treatment is carried out, and powder precursor is prepared;Alkali activator is added to the prepared powder precursor, and alkali activator is made of deionized water, sodium hydroxide and water glass, continue to stir to prepare the based on coal-based solid waste's anti-dispersion grouting material.The present application can prepare the anti-dispersion grouting material of excellent fluidity, stability and mechanical property, provides innovative path for the resource of coal-based solid waste, significantly reduces material cost, improves environmental benefits and engineering application value.

The present invention discloses a method and system for identifying flooding in distribution stations with a dual-attention mechanism, wherein the identification method collects flooding scene picture sets, constructs a detection network with a dual-attention mechanism based on Yolov4‑tiny, trains the detection network using the flooding scene picture sets, obtains a detection network with high detection accuracy and flooding recognition capability, and finally deploys the detection network to an edge agent; at the same time, the edge agent obtains the surrounding environment image and uploads it to the cloud platform, updates the flooding scene picture set, and optimizes the detection network, so that the edge agent can adapt to complex scenes. The present invention aims to solve the technical problems that the existing distribution station edge end cannot meet the real-time response under the flooding environment, and the detection accuracy is poor and cannot adapt to complex scenes.

The present application provides a method and device for storing monitoring data of a reservoir. The method comprises: according to the equipment identification of each monitoring device that monitors the same target area of ​​the reservoir, obtaining each candidate data corresponding to one of the equipment identifications from each monitoring data stored in the cache of the target terminal; deduplicating each candidate data according to the net load data and timestamp of each candidate data to obtain each target monitoring data; storing each target monitoring data in the disk storage of the target terminal; wherein the net load data or timestamps between each target monitoring data are different. A method for storing monitoring data of a reservoir provided in an embodiment of the present application can reduce the storage pressure of the disk storage of the terminal.

The utility model discloses an electric saucepan, which comprises a base, a steaming drawer assembly and a water tank, the steaming drawer assembly and the water tank are arranged on the base, a mounting groove for mounting the water tank is arranged on one side of the steaming drawer assembly on the base, a water retaining rib is further arranged on the upper surface of the base, and the water retaining rib comprises a first water retaining section positioned between the water tank and the steaming drawer assembly, and a second water retaining section positioned between the water tank and the steaming drawer assembly. A first water receiving groove is formed between the first water retaining section and the side, facing the steaming drawer assembly, of the water tank, and the first water receiving groove is used for collecting water dripping from the surface of the side, facing the steaming drawer assembly, of the water tank. According to the electric steamer, the condensate water dripping from the surface of the side, facing the steaming drawer assembly, of the water tank can be collected, the condensate water is prevented from scattering and flowing all around and flowing to the control panel, and therefore the use experience is improved, and potential safety hazards are reduced.

The application relates to the technical field of automatic control of unmanned aerial vehicles, in particular to a control system of an unmanned aerial vehicle, which comprises a bus, a self-pilot, a plurality of rudder controllers and a plurality of rudder surface driving mechanisms, the self-pilot and each rudder controller are connected to the bus, each rudder controller is electrically connected with the corresponding rudder surface driving mechanism; each rudder controller is provided with a control distribution table mapped with a flight configuration; during the flight of the unmanned aerial vehicle, each rudder controller determines the corresponding control distribution table according to the flight configuration broadcast by the self-pilot; according to the control distribution table, the weight of each control signal participating in control is determined, and the total control signal is obtained by weighted summation of each control signal participating in control; each rudder controller outputs the total control signal to the corresponding rudder surface driving mechanism to realize the control of the rudder surface driving mechanism. That is, the application scheme can relieve the operation and storage pressure of the self-pilot, simplify the configuration of the self-pilot and improve the universality of the self-pilot.

This invention discloses a device type identification method, terminal device, and storage medium based on traffic sampling. It eliminates the need to collect complete device traffic data; device identification is achieved simply by sampling traffic at the gateway. To address the issue of missing traffic features, traditional tensor imputation algorithms learn the embeddings corresponding to tensor rows, columns, and depths, but cannot generalize to unknown rows, columns, or depths. This results in repeated retraining, time-consuming and costly feature imputation. This invention proposes an inductive tensor imputation method that utilizes historical information to learn and generate embedding functions, enabling fast and effective device traffic feature imputation.

The application discloses a kind of alliance chain slice construction and consensus method based on dynamic clustering, comprising, the real-time computing power of alliance chain node, transaction frequency and transmission rate are collected;By verifiable random function, node is divided into Full_node of storing complete data and Slice_node of only storing slice data;DQN algorithm is used to determine the number of slices K, and the final consensus group is formed by selecting consensus representative nodes from Full_node based on dynamic performance threshold;The correlation matrix between the remaining nodes is constructed, and the nodes are evenly distributed to K slices by means of improved clustering algorithm;In each slice and consensus group, the Leader node is elected;When a new transaction arrives, execute the corresponding consensus process according to whether the transaction parties belong to the same slice, and write into the blockchain after verification, collect consensus performance data by Leader, and determine whether to trigger slice reconstruction according to performance data: if triggered, re-slice, otherwise continue to process transactions until completion;The application can improve the throughput of the overall system, relieve the data storage pressure, and improve the system response efficiency.

The application relates to the field of robot control, in particular to a multi-modal perception pipeline inspection robot control method and an inspection robot. The method comprises the following steps: based on the inspection robot, pipeline detection perception is carried out, and a real-time three-dimensional structure map is generated; the real-time three-dimensional structure map is compressed and uploaded to a cloud monitoring platform; when the cloud monitoring platform receives the real-time three-dimensional structure map, spatial topology analysis is carried out, an inspection instruction is generated, and the inspection instruction is sent to the pipeline internal inspection robot; the internal inspection robot receives the inspection instruction, carries out adaptive path planning, and generates a path execution sequence; the inspection robot carries out dynamic inspection operation based on the path execution sequence, synchronously collects data and returns the data to the cloud monitoring platform, and completes the inspection control operation. The application realizes high-precision and automatic buried oil pipeline inspection operation, and improves the detection efficiency and safety of the buried oil pipeline.

The invention relates to the technical field of data processing, in particular to a multi-dimensional automobile accessory big data processing method and system based on a vertical class model, and the method comprises the steps: obtaining multi-dimensional data information of automobile accessories at regular time; according to key text information in the multi-dimensional data information, constructing a text feature vector of the automobile accessory; determining a first similarity between each attribute of each automobile accessory and the automobile accessory with the same name; obtaining the attribute importance degree of each attribute of each automobile accessory; based on a vertical class model, evaluating the similarity degree of the text feature vectors between any two automobile accessories obtained in a single time, and classifying the automobile accessories; and determining a first similarity between each attribute of any automobile accessory in the same kind of automobile accessories and the remaining automobile accessories, and calculating the automobile accessory similarity between the any automobile accessory and the remaining automobile accessories by combining the attribute importance of each attribute of the any automobile accessory so as to perform duplicate removal processing on the same kind of automobile accessories. Therefore, the duplicate removal effect of the automobile accessory data is improved.

The utility model relates to a liquid carbon monoxide vacuum storage tank. According to the scheme, a heat insulation material is attached to the inner wall of an inner container, and a liquid inlet / outlet connector is formed in the top and extends to the outside through the top of an outer container. The inner container and the outer container form a vacuum interlayer, and a vacuum isolating valve M1 and a vacuumizing valve N1 are arranged to keep the vacuum degree of the interlayer. The double safety valves are connected with the recovery pipeline through a first safety valve pipeline and a second safety valve pipeline respectively and used for discharging in the overpressure state. In addition, an overpressure automatic release pipeline is particularly arranged, an automatic pressure release valve is arranged to be communicated with a recovery pipeline, and it is ensured that gas is safely released when the inner container is overpressure. In addition, a pressure maintaining pipeline is arranged and is combined with an automatic pressure increasing valve I1 and a self-pressure increasing vaporizer L1 to carry out precise pressure increasing control on the inner container. The inner container and the outer container are both integrated with pressure and temperature monitoring points, the inner container further has a liquid level monitoring function, and all-directional safety monitoring and efficient operation are achieved.