503results about How to "Easy to update" patented technology

The invention provides an innovative deep concealed ore deposit detection method, which comprehensively utilizes geology, geophysics, geochemistry and remote sensing technologies, and realizes effective integration of multi-source geological data by developing an advanced data fusion algorithm. According to the method, data collected by geological survey, wide-area electromagnetic method exploration, hydrocarbon-mercury superposition halo analysis and aviation hyperspectral remote sensing are subjected to standardized preprocessing, so that the consistency and accuracy of the data are ensured; and then, deep analysis is carried out on the fused data by utilizing machine learning and statistical analysis technologies so as to identify and predict mineralization modes and abnormal regions. Finally, a three-dimensional geologic model is constructed, the form and distribution of an ore deposit are visually displayed, and a scientific basis is provided for geological exploration. The method is characterized in that a multi-source data fusion technology and mineralization mode identification automation and precision are realized, so that the efficiency and the accuracy of deep hidden ore deposit detection are remarkably improved.

The invention discloses an audit domain knowledge graph ontology framework construction method based on a large language model, which comprises the following steps: collecting audit domain related data, and preprocessing the collected data; pre-training the large language model by using the preprocessed audit field related data; based on an existing general entity extraction and relation extraction data set, performing fine adjustment on the pre-trained large language model; performing knowledge extraction on the audit field text data preprocessed in the first step by using a large language model to obtain a knowledge extraction result of the audit field; performing standardization processing on a knowledge extraction result; and based on the knowledge extraction result after standardization processing, constructing a knowledge graph ontology framework in the audit field. According to the method, the knowledge of the auditing field can be automatically extracted, summarized and sorted, and a set of complete auditing field knowledge graph ontology framework is formed.

The invention discloses a power generation equipment fault diagnosis method based on a large language model. According to the method, firstly, an expert knowledge base is converted into a fault knowledge base composed of criterion nodes and edges, and fault retrieval is completed through the knowledge base; synthesis of natural language texts is completed by using input based on text function segmentation, cue word templates are constructed based on calculation types of different criteria, and a large model is promoted to complete calculation reasoning tasks of the criteria; multi-dimensional equipment state monitoring time sequence data are input, a cue word set at the current time is automatically generated in combination with the cue word template, the cue word set is input into a large language model for computational reasoning, and a current state set of equipment is generated; using a knowledge base to retrieve the state set to obtain a fault diagnosis result; and then a visualization system is designed to collect and visualize a large model output result and a fault diagnosis result, and input and interaction interfaces are provided for cue word template construction. The fault diagnosis completed by the method has good practicability and expansibility.

The invention relates to the technical field of safe starting, in particular to a safe starting method and device for embedded equipment. The method comprises the following steps: dividing a processor in a target system architecture into a non-secure world and a secure world; establishing a trust chain guided by the Arm trusted firmware, and verifying the trust chain step by step by taking a BootROM read-only memory as a trust root of a starting process; in the secure world, verifying the Kernel kernel mirror image, and after the verification of the Kernel kernel mirror image is passed, creating a vroot virtual device through an auxiliary system mirror image in the Kernel kernel mirror image; and mounting the vroot virtual device to the virtual rootfs partition, switching to the actual rootfs partition after mounting is completed, and executing the initialization process of the operating system. According to the scheme, it is ensured that the embedded device is started in a safe and verified environment, and the starting reliability is enhanced.

The invention discloses a mobile game scene interaction intelligent optimization method based on a generative adversarial network, and aims to improve the game experience of players. Comprising the following steps: S1, collecting behavior data and interaction information of a player in a mobile game, and generating a preliminary behavior feature model; s2, constructing a generative adversarial network model; s3, generating diversified game scene interaction examples according to the trained generator; s4, evaluating and optimizing the generated scene interaction example by using a discriminator; s5, real-time feedback of the player is received, and the behavior feature model of the player is updated; s6, dynamically adjusting a generation strategy based on the updated behavior feature model, and optimizing a scene interaction effect; s7, environment data are integrated, scene interaction is optimized in real time, and the immersion of players is enhanced; and S8, providing user-defined scene interaction options for the players, and allowing the players to adjust according to personal preferences. The interactive experience and game fun of players can be effectively improved.

The invention relates to a pollutant concentration diffusion simulation method based on grid optimization and self-regulation. The method comprises the following steps: carrying out basic grid division on a simulation area to obtain a basic grid; calculating a pollutant concentration field of the simulation area according to the spatial position and the pollutant concentration value of the monitoring station; generating a concentration distribution matrix according to the pollutant concentration field of the simulation area, and then dynamically adjusting the grid density of the basic grid; calculating the calculation complexity of each grid region by using the grid density of the adjusted basic grid, carrying out pollutant concentration calculation task allocation according to a cloud platform and a weighted polling algorithm, and forming a pollutant concentration distribution prediction result of the simulation region by a pollutant concentration prediction result of each grid; and dynamically adjusting a pollutant concentration distribution prediction result according to the Kalman filtering and the obtained real-time environment data to obtain a final pollutant concentration prediction value. By adopting the method, the precision and the real-time performance of pollution diffusion simulation can be improved.

The invention belongs to the technical field of carbon sequestration, and particularly relates to a fluidization reaction device and method for efficiently mineralizing carbon dioxide by solid waste, and the method comprises the following steps: pretreating the solid waste to obtain solid waste powder; the method comprises the following steps: atomizing an alkaline solvent into water mist, inputting CO2 gas and the water mist into a fluidized bed reactor by utilizing a fan, and adding solid waste powder into the fluidized bed reactor; the mass ratio of the water mist and the solid waste powder entering the fluidized bed reactor and the gas flow speed of the CO2 gas and the water mist are adjusted, gas-liquid-solid three-phase fluidization is conducted on the solid waste powder in the fluidized bed reactor under driving of the gas phase of the CO2 gas, and mineralization reaction is conducted; after full reaction, discharging solid waste powder by using a rotary discharging device, and drying the solid waste powder to constant weight by using a constant-temperature drying box to obtain an auxiliary cementing material; according to the method, the contact efficiency and the mass transfer rate of the solid waste and CO2 can be improved, the solid waste can quickly react with CO2 gas in the fluidized bed reactor, the reaction time is remarkably shortened, and the low cost and the high efficiency of the CO2 mineralization reaction of the solid waste powder are realized.

The invention belongs to the technical field of computer application, and relates to an operation inspection equipment fault detection method and system based on an improved deep learning model, and the method comprises the steps: obtaining original data, employing EEMD to decompose the original data for feature enhancement, obtaining a decomposition signal, carrying out the noise reduction of the decomposition signal, and obtaining a feature signal after noise reduction; according to the feature signals after noise reduction, a deep learning model is constructed based on Resnet and a dynamic Transform encoder, and the prediction probability of each fault category is output; a ZOA optimization algorithm is used to optimize hyper-parameters of a deep learning model, an optimization model is obtained, the performance of the optimization model is evaluated, an optimal model is obtained, and the prediction probability of each fault category is output, so that false report and missing report of faults can be effectively reduced in a fault detection task, potential safety hazards caused by the fact that the faults are not found in time are reduced, and the fault detection efficiency is improved. Therefore, the stability and reliability of the power system are improved.

The invention relates to the technical field of database establishment, in particular to an establishment method and system based on an aircraft aerodynamic model database. The method comprises the following steps: obtaining an aircraft pneumatic data storage demand and an aircraft pneumatic data query demand, and carrying out multi-level storage architecture design to obtain a basic data layer, a processing data layer and a high-level model data layer; the method comprises the following steps: collecting aircraft original aerodynamic data sets of wind tunnel experiments, flight tests and CFD numerical simulation, and transmitting and storing the aircraft original aerodynamic data sets to a basic data layer; carrying out aerodynamic load, flow field parameter and aerodynamic pressure distribution analysis on the original aerodynamic data set of the aircraft in the basic data layer, and transmitting and storing the aerodynamic load, flow field parameter and aerodynamic pressure distribution to the processing data layer; and carrying out aircraft aerodynamic model construction on the data in the processing data layer, transmitting and storing the data to a high-level model data layer, and carrying out R-tree multi-dimensional index connection to obtain an aircraft aerodynamic model multi-level storage database. According to the invention, an efficient and intelligent aerodynamic model database can be established.

The invention discloses a city appearance environment early warning method and system based on AI intelligent garbage identification, and relates to the technical field of artificial intelligence and garbage classification technologies. The method comprises the steps that firstly, garbage classification throwing stations are set; step 2, acquiring and processing image data; step 3, carrying out image frame selection and tracking; 4, setting a threshold value and generating prompt information; 5, scheduling the garbage trucks, connecting the garbage trucks in series according to the uploaded alarm stations, and designing a route; by monitoring the state of the garbage throwing station in real time, the system can timely find the situation that the number of the garbage cans reaches the standard, and automatically generate early warning information, so that an environmental sanitation management department can timely dispatch garbage trucks to carry out clearing and transportation, and environmental pollution and resource waste caused by long-time garbage accumulation are avoided; the dynamic adjustment function of the system ensures that the driving route of the garbage truck can be rapidly updated when the actual situation changes, for example, early warning is newly added, and the garbage treatment efficiency and the response speed are further improved.

The invention relates to the technical field of daily chemical products, in particular to a scalp care composition and application thereof. From the perspective of scalp care, selenium disulfide and piroctone olamine salt are taken as bactericides and compounded with bactericidal and anti-dandruff components to form the organic and integrated anti-dandruff and scalp conditioning composition, and the composition has the effects of removing dandruff, relieving itching, soothing and controlling oil and can effectively relieve the problems of dry dandruff and fungal dandruff. The scalp care composition is added into the shampoo, serves as a main component of the multi-effect repairing and dandruff removing shampoo, can effectively solve the problems of oily dandruff, dry dandruff, scalp itching, scalp hair greasy, scalp sub-health and the like, and has the effects of reducing scalp inflammatory response, promoting updating of scalp cutin, inhibiting generation of scalp redundant sebum and the like; the nursing dimension is more comprehensive, and the application range is wider.

The invention discloses a digital twin point cloud editing asynchronous updating method, which comprises the following steps that: a rear end selects a proper point cloud processing algorithm for each mapping stage in sequence, and generates a corresponding mapping task so as to generate a primitive of a three-dimensional model, and uploads the primitive to MinIO as a primitive file; selecting the point cloud data needing to be edited through the front-end interface, and performing editing operation on the point cloud data so as to generate new point cloud data; the front end sends editing operation to the rear end regularly, if it is judged that the editing operation can affect the primitives, corresponding change records are generated, and otherwise, the scene case database is directly updated; the back end reads the change record regularly, and once the editing operation of the point cloud data is not applied yet, a proper point cloud processing algorithm is called to carry out editing operation and primitive segmentation on the related point cloud data, so that new primitives are generated and uploaded to MinIO, and a primitive file is updated, so that the operation threshold is reduced, the accuracy of an editing result is improved, and the editing efficiency of the point cloud data is improved. And the data maintenance work is simplified.

The invention provides an end-to-end automatic driving system and method. The system comprises an environment sensing module, a feature extraction module, a data fusion module, a decision generation model module and a decision analysis module. The environment sensing module comprises a plurality of types of sensors, and each sensor collects environment information data of different modes. The feature extraction module extracts features of each modal environment information data. And the data fusion module fuses the features of the modal environment information data to obtain fused features. The decision generation model module determines a driving decision by using a trained decision generation model based on the fusion features. And the decision analysis module converts the driving decision output by the decision generation model module into a specific vehicle control instruction. The method has higher adaptability to complex and dynamic driving scenes, reduces the cost of data annotation during training, and improves the generalization ability of the model in various driving scenes.

The invention provides a skin care composition with an anti-aging effect and a preparation method and application thereof, and belongs to the technical field of beauty and skincare, the composition is characterized in that retinol, a polypeptide compound, ceramide, astaxanthin and resveratrol have a synergistic effect on component combination, so that all-around anti-aging is realized, and the skin care effect is good. According to the present invention, the raw materials are respectively adopted to provide effects of collagen generation promotion, muscle contraction wrinkle solving, barrier function enhancing, free radical scavenging, melanin formation inhibition and the like, the preparation method comprises the following steps: precise temperature control, suitable stirring mode, high-precision stirrer and other advanced technologies ensure uniform mixing of the components, inert gas protection and PID temperature controller retention of the activity and the effects of the components, in the aspect of application, the composition is reasonably added into face cream, emulsion, essence and facial mask, diversified requirements are met, deep nourishing, refreshing care, efficient permeation and instant effects are respectively provided, in a word, an efficient, safe and comprehensive anti-aging scheme is provided for consumers, aging signs are improved, and the composition is wide in prospect and high in value.

The invention relates to the technical field of computers, and discloses a computer security protection management system which comprises a firewall module, an intrusion detection and defense module, an anti-virus and anti-malicious software module, a user identity and access management module, a security information and event management module, a vulnerability management module and a data encryption module. And the firewall module controls access of network traffic. An advanced machine learning and behavior analysis algorithm is adopted, false alarm and missing alarm are effectively reduced, high accuracy of threat detection is ensured, novel and unknown attacks can be rapidly recognized, the overall protection capability can be improved, in the aspect of system performance optimization, efficient flow analysis and threat response are achieved through a distributed architecture and a hardware acceleration technology, and the system performance is optimized. The system load is reduced, the scanning and monitoring strategy and the efficient encryption algorithm are optimized, the occupation of system resources is remarkably reduced, and the response speed and stability of the system are improved.

The invention discloses a high-frequency ground wave radar formation target tracking method and system, and particularly relates to the technical field of target tracking. Comprising the following steps: constructing a position feature vector and an appearance feature vector of a formation target based on high-frequency ground wave radar echoes; constructing nodes by using the position feature vectors and the appearance feature vectors of the formation targets; screening adjacent nodes of the known node Node based on the position feature vector, and calculating a likelihood function; constructing a prototype network model based on the formation target appearance feature vector, and calculating the Euclidean distance between the appearance feature vector of a known node Node and the appearance feature vector of an adjacent node Adjacent; on the basis of a likelihood function Lsiran and an Euclidean distance Euddis, the correlation similarity between a known node Node and an adjacent node AdJacent is calculated, so that a connection edge is constructed; and training based on a graph neural network loss function to realize formation target matching tracking. By adopting the technical scheme of the invention, the problem that the formation target cannot be tracked in the prior art is solved, and accurate tracking of special targets such as formation is realized.

The invention relates to the technical field of data mining, in particular to a method and a system for generating a printed circuit board design drawing. The method comprises the following steps: obtaining customer demands, structuring the customer demands into circuit board design demand data, and then carrying out mode clustering to obtain design demand mode data; acquiring a historical design log, performing circuit board hierarchical design clustering based on the historical design log to obtain historical hierarchical design data, and performing wiring structure topology analysis to form a wiring structure model set; quantifying a wiring demand, obtaining wiring demand data based on demand mode data, and matching the hierarchical wiring structure model set to form a matching model; the layout component is used for carrying out component layout on the matched wiring structure model, generating component layout data and planning the direction of a signal line to form a hierarchical structure model; and performing electromagnetic interference simulation, optimizing the hierarchical structure model based on simulation data to balance heat flow, and finally generating a circuit board design drawing. The design efficiency of the circuit board can be improved.

The invention provides an indoor map generation method based on BIM (Building Information Modeling) and real-time data and electronic equipment. The indoor map generation method comprises the following steps: S1, constructing a first indoor grid map based on BIM model data of a building; s2, resetting the first indoor grid map based on indoor static elements to obtain a second indoor grid map; s3, automatically generating a static key node and a static key path in a passable area of the second indoor grid map; s4, obtaining more than one dynamic grid region; s5, generating dynamic key nodes and dynamic key paths in each dynamic grid region by using a triangulation algorithm; and S6, integrating the static key nodes, the static key paths, the dynamic key nodes and the dynamic key paths to obtain an indoor topological map. According to the method, a large amount of manual workload is avoided, the generation efficiency and accuracy of the indoor topological map are improved, and the environment change can be quickly responded. The invention further provides an indoor navigation method and electronic equipment, and the navigation reliability is improved.

The invention discloses a bionic fetal fat skin care composition for children as well as a preparation method and application thereof, and belongs to the technical field of skin care products. The bionic fetal fat skin care composition comprises a plant extract, a bionic fetal fat composition, a protein mixture, a regulating agent and bionic liquid. The plant extract and the bionic body fat composition are used for simulating lipid composition of body fat, the formed skin care composition has the effects of resisting oxidation, moistening and preserving moisture, promoting cell renewal and the like, and a protective layer can be formed on the surface of skin, so that the defense capacity of the skin is improved. The protein composition is added into the bionic fetal fat skin care composition, so that the skin state can be improved, the absorption of other components in the skin composition can be promoted, and the overall effect of the skin care composition is improved. The skin care composition disclosed by the invention does not contain irritating components, does not cause irritation and burden to the skin, and can be used for preparing skin care products for children.

The invention discloses a real estate registration-oriented business data integration method and system, and relates to the technical field of real estate registration data integration processing. The real estate registration-oriented business data integration method comprises the following steps of: obtaining identification information, property proving information, land use information and transaction record information of a real estate to be registered, and establishing a real estate initial registration data table; acquiring current state information of the real estate to be registered, analyzing a terrain development index, a land area development index, an environment quality index, an infrastructure convenience index, a regional market economic index and a comprehensive development index, and fusing and storing the indexes into a real estate initial registration data table; according to the method, the comprehensive development index is constructed by calculating multiple indexes such as the terrain development index, the land area development index, the environment quality index, the infrastructure convenience index and the regional market economic index, the development potential of the real estate is systematically quantified, and the comprehensive value and the development potential of the real estate can be reflected.

The invention discloses a method, a system, a medium and equipment for generating a test case based on a demand document, and the method comprises the following steps: a document preprocessing step: preprocessing the demand document to obtain an initial data set; a test data set generation step: traversing the initial data set, and performing division processing on the initial data set to obtain a test data set; a test data set filtering step: filtering stop words in the test data set to obtain a new test data set; a demand relation tree construction step: traversing the new test data set, and generating a demand relation tree according to the logic relation; and a test case generation step: splitting the demand relation tree into a plurality of sub-trees only containing secondary nodes, and generating corresponding test cases by each sub-tree according to the test case data model.According to the method, natural language processing and large model analysis processing methods are utilized, the corresponding test cases are directly and automatically generated according to the demand document, and the test efficiency is improved. And the writing time of the test case is shortened.

The invention discloses an integrated device for coupling in-situ remediation and membrane filtration water purification of a reservoir water body, which realizes effective removal of pollutants such as ammonia nitrogen, iron, manganese and the like by fusing the advantages of a gravitational flow ultrafiltration (GDM) technology and a water-lifting aeration technology and utilizing the biochemical action of a biological filter cake layer of the GDM technology and an ultrafiltration membrane interception mechanism, so that the water body in-situ remediation and membrane filtration water purification of the reservoir can be realized. Meanwhile, by utilizing the in-situ remediation capability of a water lifting aeration technology, the ecological environment of a water body is improved, and the release of endogenous pollution is reduced; the device continuously runs for a long time under the designed flux, and the membrane pollution is controlled without adopting hydraulic backwashing and chemical agent cleaning, so that the use of chemicals is reduced from the source, pipelines, water pumps and valve accessories for backwashing and chemical cleaning are not needed, the cost can be effectively saved, and the workload of operation, operation and maintenance is greatly reduced; in addition, solar energy is adopted as a power source, green power supply is achieved, energy consumption is reduced, and negative effects on the environment are effectively relieved.

The invention discloses an acne-removing essence and a preparation method thereof, and particularly relates to the technical field of skin care products, the acne-removing essence comprises the following components by mass: 0.5-5% of salicylic acid; 1%-5% of tartaric acid; 2%-6% of nicotinamide; 0.5%-2% of colloidal sulfur; 1.5%-3% of tea tree essential oil; 1%-2% of hyaluronic acid; 0.5%-1% of ceramide; 1%-3% of glycerol; 1%-2% of trehalose; the salicylic acid is used for penetrating into skin, helping to relieve dead skin cells, reducing inflammation and accelerating skin renewal; the tartaric acid is used for realizing a stripping effect, can remove aged cuticles on the surface of the skin and promote the generation of new cells, so that the problem of acnes is helped to be improved. The acne-removing essence prepared by the invention has a relatively good moisturizing effect, so that skin barrier can be well maintained, keratin metabolism is promoted, grease secretion is inhibited, acne is effectively prevented, inflammatory response of the acne is relieved, and the actual use effect of the acne-removing essence is relatively good.

The invention belongs to the field of personal care, and particularly relates to a glycoside derivative flexible liposome and a preparation method and application thereof, the glycoside derivative flexible liposome comprises a main shell material, a humectant, a wrapped raw material, an auxiliary shell material, a preservative and a solvent; the main shell material is phosphatidylcholine, and the auxiliary shell material is polyquaternium-51; the preservative is any one or more of 1, 2-hexanediol, p-hydroxyacetophenone, methylparaben, phenoxyethanol and caprylyl glycol; the moisturizing agent is butanediol; the wrapped raw material is hydroxypropyl tetrahydrofurantriol; the solvent is deionized water. According to the invention, the permeability and penetration depth of the glassine and the concentration of the glassine at a target position are improved by utilizing a flexible liposome wrapping technology, the bioavailability of the glassine is improved, and the addition amount is reduced under the condition of realizing the same tightening and anti-wrinkle effects, so that the cost is reduced.

The utility model provides a modularization coffee machine which comprises a frame, a bean grinding module, a brewing module and a boiler module, the bean grinding module, the brewing module and the boiler module are detachably installed on the frame, an installation area is arranged on the frame, and the bean grinding module and / or the brewing module and / or the boiler module are / is detachably installed on the installation area. Therefore, a bean grinding coffee machine, a brewing coffee machine or a full-automatic coffee machine is formed. Specifically, the bean grinding module, the brewing module and the boiler module are respectively modularized and embedded on the frame; therefore, only the corresponding module combination needs to be selected according to the actual demand; when beans need to be ground, only the bean grinding module needs to be installed on the installation area of the frame, and the independent bean grinder is formed. When coffee needs to be brewed, the brewing module and the boiler module are installed on the installation area of the frame in a combined mode to form the coffee brewing machine. When beans need to be ground and coffee needs to be brewed, the bean grinding module, the brewing module and the boiler module are all installed on the installation area of the frame, and the complete full-automatic coffee machine is formed.

The invention discloses an AI teaching experiment environment management method based on container arrangement. The AI teaching experiment environment management method comprises the steps that an AI lesson preparation environment is published into an AI teaching experiment course to form a version control module in container arrangement; under the condition of the version control module, creating and automatically selecting an optimal AI host based on an AI environment, and forming an optimal AI host module in container arrangement; creating and operating an AI lesson preparation experiment environment or an AI teaching experiment environment on the optimal AI host; judging whether all AI environments have usability or not; if yes, continuing to retain; and if the AI environment has no usability, constructing a destroying module based on a container arrangement technology to destroy the AI environment. By controlling the version of the AI teaching experiment course, a teacher can conveniently update and switch the experiment content and configuration at any time; the AI environment is created by selecting the optimal AI host, and the non-usability AI environment is released in time, so that more efficient, flexible and reliable AI environment management and utilization are realized.

The invention provides an intelligent security archive management method and system based on big data analysis in the technical field of security archive management, and the method comprises the steps: S1, creating a plurality of data templates, and setting collection parameters; s2, acquiring security data based on the acquisition parameters and preprocessing the security data; s3, analyzing each piece of security data to obtain a classification label, and classifying each piece of security data based on the classification label; s4, matching corresponding data templates for the security data of each category based on the classification labels, and mapping and filling the corresponding data templates with the security data to obtain corresponding security archives; s5, encrypting each security file into a corresponding encrypted file, and storing each encrypted file in a cloud server; and S6, the cloud server decrypts the encrypted archive based on the archive management instruction to obtain the security archive, and adds, deletes, repairs or checks the security archive. The method has the advantages that the reliability, the efficiency and the quality of security file management are greatly improved.

The invention discloses an article label identification method based on fuzzy logic control. The method comprises the following steps: S1, data acquisition; s2, preprocessing the image data and the environment data; s3, performing classification according to an improved clustering algorithm to generate an initial fuzzy rule base; s4, using an improved genetic algorithm to optimize the initial fuzzy rule base, adopting adaptive variation and crossover operation, introducing an elitist retention mechanism, designing a multi-objective optimized fitness function, and generating an optimized fuzzy rule base; s5, constructing a three-layer fuzzy system; s6, fusing three layers of reasoning results through a fuzzy operator to obtain a final label identification result, and if the reasoning confidence is relatively low, performing reasoning again; and S7, storing related data, and if the user corrects the identification result, automatically triggering the improved genetic algorithm to update the fuzzy rule base and the reasoning parameters. Article label identification is optimized through multi-level fuzzy reasoning and the improved genetic algorithm, and the method has the advantages of high adaptability, high precision and the like.

The present invention discloses a method for collecting data and generating transaction serial numbers for a liquid crystal screen of a gas station, comprising the following steps: completing data collection of a liquid crystal screen of a gas station by an embedded data collection device; determining the start and end of a data signal in the collected data and completing the reading of the data signal; decoding the data signal and converting it into a number displayed on a recognizable display screen; generating a transaction serial number; packaging the converted data signal and the transaction serial number information and transmitting them to a network through a serial port. The present invention has the advantages of high information processing efficiency and convenient and flexible updating and maintenance.

The invention discloses a surveying and mapping system and method for dynamic remote sensing monitoring, and relates to the technical field of remote sensing surveying and mapping. The specific implementation process comprises the steps that firstly, a region segmentation model is provided, region coarse segmentation is carried out according to the same-object same-spectrum principle, fine segmentation is assisted through a multispectral image, meanwhile, a self-adaptive loss function supervision model is introduced, and therefore the accuracy of region segmentation is improved; secondly, designing an edge refinement model, obtaining an edge mask in combination with Fourier transform and depth separable convolution, further updating the pixel value of the region edge, and generating an accurate region distribution map; finally, a region change monitoring model is provided, the change region and the change degree of the target region are analyzed through feature extraction, space registration and space-time fusion technologies, and the precision, timeliness and reliability of surveying and mapping are improved.