618 results about "Background data" patented technology

The invention provides a manifold constraint-based sonar imaging reverberation elimination method and system, and is applied to the field of imaging data processing. According to the method, the time domain waveform of the echo signal is collected in real time, whether the irregular reflection peak value is detected or not is judged, potential interference and reflection in the underwater environment can be rapidly recognized, and particularly, in the complex underwater environment, non-target objects (such as seabed obstacles or sundries) possibly cause irregular reflection signals, so that the interference and reflection in the underwater environment can be rapidly recognized. Meanwhile, the underwater propagation characteristics of sound waves can be accurately modeled by collecting the reflection path of the echo signal and predicting the propagation parameters of the reverberation signal. And accurate background data can be provided for the propagation modeling of the reverberation signal through the pre-recorded information of submarine topography, geological characteristics, sound wave propagation characteristics and the like.

The invention relates to the technical field of e-commerce data processing, in particular to an e-commerce sales platform background data management method and system. The method comprises the following steps: S1, collecting a commodity dynamic data stream, a user behavior event stream and a promotion strategy stream in real time, and generating a standardized data stream through time sequence alignment; s2, constructing a dynamic coupling data cube; s3, executing a real-time decision: in response to the payment request, selecting an inventory distribution or replacement commodity pushing strategy based on a commodity-user coupling matrix value; in response to the resource overload state, triggering a resource scheduling strategy; and S4, dynamically adjusting calculation parameters of the coupling matrix according to decision execution feedback. By solving the problems of real-time standardization processing of multi-source heterogeneous data and real-time coupling of dynamic inventory and user behaviors, the data processing capacity, inventory distribution efficiency and recommendation accuracy of the platform are remarkably improved.

The invention relates to the technical field of semantic processing, in particular to a context-aware SQL (structured query language) generation method based on table field semantic enhancement, which comprises the following steps of: acquiring financial management and investment combination data of a user and mode information of a background database, constructing a mixed semantic index database, receiving natural language query input by the user, and generating a query result. Performing intention judgment on the query by utilizing the lightweight intention classification model, and if the intention is judged to be matched, calling a parameterized SQL template bound with the query intention and filling parameters to generate a final SQL query; if it is judged that the query intention is an exploration type intention, executing a two-stage SQL generation process, including generating an SQL skeleton according to the query intention, performing target type field recall based on the SQL skeleton, and filling the recalled field into the SQL skeleton to generate a final SQL query; and monitoring the execution performance of the final SQL query, and updating the query popularity metadata and the calculation cost metadata. According to the method, the SQL generation efficiency is improved through intelligent shunting and self-optimization.

The invention relates to the field of medical image processing, and discloses a coronary artery stenosis detection method and system based on an angiography image. The method comprises the following implementation steps: collecting a coronary sequence video, sampling and labeling blood vessel frames in the coronary sequence video under the guidance of a professional doctor, and obtaining a coronary angiography image set and a coronary angiography background data set; using a fine-tuned diffusion model DDPM to extract a potential feature map of the blood vessel, and performing channel remodeling on the potential feature map and an original coronary artery image; performing dimension feature extraction on the coronary angiography image, and extracting features of a corresponding layer in the backbone network; then, narrow feature enhancement and multi-scale Transform operation are carried out on the extracted feature mapping; and finally carrying out feature fusion on the feature mapping of different layers and then sending to a detection head module for prediction. According to the method, the detection effect of coronary artery stenosis can be improved, a foundation is established for subsequent quantitative detection of vascular stenosis, and the method has a great application prospect.

The invention relates to the technical field of electric power risk control, and discloses an anti-bidding risk control system platform based on a large model technology, and the system platform comprises the steps: collecting bidding data, splitting the bidding data into bidding text data, behavior data and enterprise background data, carrying out the semantic extraction of the bidding text data, obtaining a core data set, and carrying out the calculation of the core data set; performing similarity score calculation on the core data set to obtain a similarity score; constructing a bidding relationship network by utilizing the behavior data and the enterprise background data; performing data synthesis by using the bidding relationship network, the similarity score and the core data set to obtain contrast data; and performing comparative analysis on the comparison data and the bidding data to obtain an abnormal behavior, and performing risk control scoring on the abnormal behavior to obtain an anti-bidding risk control result. According to the invention, the problems of low efficiency and poor adaptability of an existing anti-flipping risk control system platform based on a large model technology can be solved.

The invention relates to the technical field of carbon emission accounting, and particularly discloses a carbon emission calculation method and system for railway infrastructure construction, and the method comprises the steps: firstly, calling basic data of a railway infrastructure from a background database and corresponding carbon emission which is verified to be real to construct a reference sample set; and carrying out embedded coding and dynamic semantic search on the basic data of the to-be-verified railway infrastructure uploaded by the user and each reference sample by adopting a data processing technology based on deep learning, so as to query response information based on the semantic query between the to-be-verified basic data and each reference sample. And the reasonable carbon emission amount of the railway infrastructure to be verified is intelligently estimated, and whether the total carbon emission amount of the railway infrastructure to be verified uploaded by the user is true or not is judged based on the reasonable carbon emission amount of the railway infrastructure to be verified. According to the method, rapid and accurate calculation and verification of the carbon emission in the railway infrastructure construction process can be realized, false declaration is avoided, and the authenticity and reliability of the carbon emission data are improved.

The invention relates to the technical field of soil remediation management, in particular to a method and system for soil remediation and digital management, and the method comprises the steps: data construction: fusing multi-source monitoring soil environment parameters with space-time background data such as a GIS layer and a meteorological time sequence to form a data set; state quantification: outputting a comprehensive state index for quantifying restoration urgency and complexity through the soil health assessment model; scheme generation: matching the restoration target library and the resource library, and generating a digital restoration scheme containing an expected state trajectory through an optimization algorithm; closed-loop control is carried out, feedback data comparison tracks are continuously collected, if the deviation exceeds a threshold value, the index is recalculated, the scheme is dynamically adjusted, and the system comprises a data construction module, a state quantification module, a scheme generation module and a closed-loop control module and executes the method. According to the method, the data reliability and evaluation scientificity are improved, the scheme adaptability is guaranteed, dynamic and controllable remediation is realized, and digital and efficient management of soil remediation is promoted.

The invention relates to the field of intelligent control, and provides an automatic control system and method for a hot water boiler, and the method comprises the steps: firstly collecting water temperature data in real time to construct a time step data set of the water temperature data, extracting current water temperature information from the time step data set, and obtaining target water temperature data set by a user from a background database; then, the real-time deviation value between the current water temperature and the target water temperature is calculated, the deviation value is input into a PID controller to generate a control instruction comprising a burner firepower adjusting value, the proportionality coefficient, the differential coefficient and the integral coefficient of the controller are dynamically determined according to the time step data set of the water temperature data, and finally, the control instruction comprising the burner firepower adjusting value is generated. And the burner is accurately controlled according to the control instruction, so that the real-time adjustment of the water temperature is realized. Therefore, the water temperature of the hot water boiler can be automatically and intelligently adjusted and controlled.

The invention relates to the technical field of image data processing, and discloses an AI target change detection method fusing a time sequence remote sensing image, which comprises the following steps of: calculating a difference information entropy value of a remote sensing image on a satellite-borne edge calculation unit, and comparing the difference information entropy value with a trigger threshold value; only when the information entropy value is higher than the threshold value, the change area is extracted to form an incremental information packet to be transmitted to the ground; and after analyzing the incremental information packet, the ground station generates an instruction according to the identified environmental interference characteristics and regional stability, feeds back the instruction to the satellite-borne unit, and bidirectionally adjusts a trigger threshold value. According to the invention, an information screening decision is preposed to a data generation source, so that invalid transmission of massive invariable background data is avoided; therefore, the acquisition delay of the key change information is obviously reduced; the established satellite-ground closed-loop feedback mechanism enables the whole monitoring method to continuously optimize the judgment standard during use, and the applicability and reliability of the method are improved.

The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.

The invention discloses a barrier-free intelligent service scheme based on multi-modal fusion, and belongs to the technical field of intelligent equipment, and the method comprises the steps: determining a service type selected by a user according to the first input of the user, and switching to a corresponding service interface; determining a target service request selected by the user in the service interface according to second input of the user; searching target information in a background database according to the target service request; generating first text information and a first braille dot matrix of voice broadcast according to the target information; and calling a visual display module to visually display the target information, calling a voice broadcast module to broadcast the first text information by voice, and displaying the first braille dot matrix on a touch display module. According to the scheme provided by the invention, comprehensive and intelligent information query and in-station navigation service can be provided for special crowds.

The invention relates to the technical field of data processing, in particular to an operation and maintenance object information query and work order automatic generation system based on NFC (Near Field Communication) equipment, which comprises an NFC identity recognition module, an equipment parameter summarization module, a work order information verification module, a work order structure generation module, a work order push confirmation module and a work order submission terminal based on NFC, and reading the NDEF data of the NFC tag of the equipment through the NFC reader-writer. According to the invention, automatic acquisition of equipment identity is realized through near field communication, multi-dimensional data consistency verification is carried out in combination with a chip sequence, all equipment information is automatically linked with a background data set, multiple parameters acquired on site are subjected to system logic screening, and work order key information is automatically distributed to a standard structure field. A data packaging link is controlled by a unified standard template, multiple safety verification and full-process state monitoring are executed in a submission stage, error risks are reduced in each link by means of systematic processing, a data tracing link is continuously improved, and field response and overall circulation efficiency are remarkably improved.

Methods and apparatuses are described herein for configuration of background data transfers (BDTs) between local area data networks (LADNs). An apparatus may receive a message indicating a request from a user equipment (UE) for a data transfer of data originating from the UE. The apparatus may send, to a database, a request for subscription information associated with the UE and a policy profile associated with the UE to determine whether there is an existing BDT policy. The apparatus may receive, from the database, a response indicating whether there is an existing BDT policy that can be re-used. The apparatus may determine, based on the received response, a BDT policy for the data transfer and a LADN to service the data transfer. The apparatus may send, to the LADN via a radio access network (RAN) node, a notification message of an arrival time and data rate for the data transfer.

The invention discloses a public opinion report generation method based on a large language model. The public opinion report generation method comprises the following steps: S1, extracting description information of a public opinion event from user input by adopting a pattern matching method; s2, performing keyword extraction and semantic expansion on the description information by utilizing a large language model (LLM); s3, using the processed keywords to retrieve information related to the public opinion event, and sorting the retrieved information; s4, performing multi-dimensional feature quantification processing on the public opinion information, reordering the public opinion information, and screening a specified number of information from the reordered public opinion information by adopting a down-sampling function to serve as background data of the public opinion report; s5, inputting the screened background data into a large language model, and generating a final public opinion report through iterative analysis; according to the method, the public opinion report is automatically generated, and a multi-dimensional feature quantification processing and information reordering mechanism is adopted, so that the selected public opinion information is highly related to the event and is important, and the public opinion report is more accurate and comprehensive.

The invention discloses an intelligent cargo inspection method, system and device for aviation departure, and a storage medium. The method comprises the following steps: receiving cargo information acquired from a preorder link of an aviation departure service, flight information corresponding to cargos and container information acquired from a departure link; according to the cargo information and the container information corresponding to each flight, obtaining an optimal cargo stacking scheme corresponding to each flight by using a hybrid heuristic algorithm; the optimal stacking scheme is loaded to stacking and film winding equipment, a mechanical arm of the stacking and film winding equipment is guided to accurately stack goods, and the film winding procedure is automatically completed; a grating and profiling door dual verification mechanism is adopted to detect the container which completes the film winding process and is loaded with goods, net covering processing is conducted on the container which completes the film winding process and is loaded with the goods after detection is correct, and meanwhile data of a departure service background database are updated. The automatic level of aviation departure cargo detection can be improved, the requirement for manual intervention is reduced, and the working efficiency is improved.

The invention discloses a milling cutter service life management and control system based on a two-dimensional code, and relates to the technical field of machining. The cutter service life management and control center is in communication connection with a cutter service life management database, a binding end, an acquisition end, an unbinding end, a background data acquisition and analysis module, a cutter service life early warning module and a wear detection and service life correction module, and all the modules are in electric signal connection; and the tool life management database is used for storing related data of tools, including unique identification codes, initial residual life, use time, manufacturers, quantity and model data. According to the tool management system and method, the tools are managed in the whole life cycle, detailed data records are recorded in each link from warehousing, ex-warehouse, use to scrapping of the tools, enterprises can better master the use conditions of the tools, data support can be provided for purchasing, storage and the like of the tools, and the tool management process is further optimized.

The invention relates to an air-space-based infrared imaging simulation platform based on CUDA (Compute Unified Device Architecture). The air-space-based infrared imaging simulation platform comprises a global calculation class, a three-dimensional position calculation module, a camera generation module, a sun calculation module, a background data extraction module, a target calculation module and an imaging effect calculation module. The platform meets the requirement of high-precision signal-level space-space-based infrared detection imaging simulation, the simulation image data generation efficiency is greatly improved under the condition that the signal-level imaging simulation precision in a space scene is guaranteed, and rapid generation of imaging simulation data of a space platform joint observation target in a multi-observation track scene is achieved. And the universality of the platform is improved by using modular data and development.

The invention belongs to the technical field of data and graph conversion, and discloses a data information and graph conversion management system applied to a design drawing, and the system comprises a data collection module which collects design data from a device end, a main system end and a background database, and guarantees the stability and accuracy of data collection through a built-in verification mechanism; after receiving the data of the acquisition module, the data preprocessing module unifies the data in different formats into a system standard format, removes redundant records and corrects logic errors, so that the data structure is unified and the formats are compatible; the unit conversion module receives the preprocessed data, and performs unit conversion on flow and pressure parameters by utilizing a rule base according to a factory standard and an equipment source unit, so that the data units are unified; and after the rule operation module obtains data with unified units, a merging calculation model is called to carry out data classification, traffic sum calculation and traffic load verification.

The invention relates to an underwater visible light signal recovery method based on transfer learning, and aims to solve the problems of signal noise, distortion and communication performance reduction caused by disturbance of water turbidity, flow velocity, ambient light intensity and the like on an underwater visible light communication (UVLC) system. In combination with transfer learning and a generative adversarial network (GAN), data are acquired through a self-developed hardware platform, background data are generated through MATLAB simulation, simulation and real image features are fused by using a conditional generative adversarial network (cGAN) to generate simulation data, signal recovery capability is trained by using a U-NetGAN model, and finally the system is deployed at a receiving end. Compared with the prior art, the scheme overcomes the problems that traditional modulation is poor in adaptability under disturbance of water turbidity, flow velocity and the like and is difficult to deal with a complex underwater environment; the defects that a deep learning method depends on large-scale data and cross-scene generalization is weak are overcome. Through the combination of transfer learning and GAN, the UVLC system communication performance is significantly optimized, the delay is low, the complexity is low, and actual deployment requirements are better met.

The invention provides an avalanche disaster risk method, system and device and a medium, and relates to the technical field of avalanche disaster response and prevention. The method comprises the following steps: acquiring avalanche occurrence data and disaster-pregnancy background data of a target area, and determining avalanche disaster-pregnancy factors according to the disaster-pregnancy background data; based on the avalanche occurrence data of the target area, taking an avalanche point as a positive sample, collecting a non-avalanche point as a negative sample, constructing training data, constructing a random forest model, and training the random forest model by using the training data to obtain an avalanche dynamic evaluation model; and based on the avalanche dynamic evaluation model, evaluating the avalanche disaster risk of the target area. The problem of how to obtain a dynamic avalanche risk assessment model by focusing on the change of meteorological factors in the snow season avalanche high-incidence period and provide key factors needing to be monitored for avalanche early warning in different months of the snow season is solved.

The invention provides a safety risk control method for geological storage of carbon dioxide and electronic equipment. A distributed optical fiber sensing system is arranged in at least one injection well of the target sealing and storage area in the axial direction of a shaft and penetrates through a main cover layer and a reservoir; the method comprises the following steps: acquiring background data through a distributed optical fiber sensing system, and establishing a multi-parameter baseline model including a temperature field, a strain field and background noise; temperature, strain and sound wave vibration signals are collected in real time, and key features are extracted; the key features extracted in real time are compared with a preset risk feature library, the types of risk events are identified, and the identified risk events are graded according to the spatial range and intensity of the abnormal signals; and according to the type and the grade of the risk event, generating and executing a corresponding control instruction. According to the embodiment of the invention, the optical fibers are distributed in the whole area along the shaft and the target stratum, a three-dimensional monitoring network covering the sealing body is constructed, and the hysteresis quality of traditional point type measurement and periodic exploration is overcome.

The invention provides a safe power utilization management cloud server, and relates to the field of intelligent power utilization management, and the cloud server firstly receives real-time leakage current values of power utilization equipment in real time to obtain a time queue of the real-time leakage current values, and then extracts a leakage current safety threshold value from a background database; separating the current leakage current value in the time queue from the historical data, verifying the current leakage current value based on the historical data to evaluate whether the confidence coefficient of the current leakage current value meets a preset requirement, if so, calculating a difference value between the current leakage current value and a leakage current safety threshold value to obtain a leakage current offset value, and finally, judging whether the current leakage current value meets the preset requirement. And whether an early warning signal is sent to a factory administrator or not is determined by comparing the leakage current deviation value with a preset threshold value. Therefore, by improving the accuracy of electric leakage detection, electrical safety accidents can be better prevented.

A computing system and associated methodology of evaluating and matching colored sparkle appearance of coatings containing at least one effect pigment type are disclosed. The methodology processes a digital image of a coating sample obtain pixel-specific sparkle point data and pixel-specific background data, both of which are formatted in accordance with an advanced color appearance model that corresponds to human color perception. A colored sparkle visual scaling value is calculated from the pixel-specific data, wherein the visual scaling value indicates colored sparkle characteristics of the coating sample. The visual scaling value of the coating sample is compared against the visual scaling value of a previously-characterized candidate coating specimen. The results of the comparison are used to determine how well the candidate coating specimen matches (in colored sparkle characteristics) the coating sample.

The invention provides an operation data tracking method which can be applied to the technical field of data processing and financial science and technology. The method comprises the following steps: generating a unique strategy identifier of a target operation strategy; in response to a strategy acquisition request of the client, sending rendering data of the target operation strategy to the client, so that the client renders at least one marketing column applying the target operation strategy based on the rendering data, and binds the unique strategy identifier with the marketing column; in response to the situation that the user clicks the marketing column, column data of the marketing column are obtained, the column data are bound with the unique strategy identification, the column data are collected based on the client side, and the column data comprise background data generated after the user clicks the marketing column to enter the target marketing page; and extracting a target data set based on all the field data bound with the unique policy identifier. The invention further provides an operation data tracking device, equipment, a storage medium and a program product.

The invention relates to the technical field of communication, and discloses a measurement and control communication parameter transmission state monitoring system, which comprises a data acquisition and adaptation module which is responsible for acquiring an original parameter data stream by measurement and control equipment, performing unified formatting processing on the original parameter data stream and then sending the original parameter data stream to a state optimal estimation module. A technical scheme of constructing a state space model at an edge end, performing optimal state estimation on original measurement and control parameters in combination with a Kalman filter, and performing statistical distribution deviation quantification on a filtered residual sequence by using KL divergence is adopted, a system high-fidelity operation state is extracted from strong noise background data, and progressive weak abnormity is early warned in advance and accurately. Compared with a scheme of carrying out fixed or simple statistical threshold alarm on an original measurement value, the problems that state misjudgment is caused by measurement noise interference, progressive performance degradation cannot be effectively sensed, fault discovery is lagged and the early warning capability is insufficient are solved.

The embodiment of the invention provides a transparent rendering method and device based on weight mixing order independent transparent rendering, equipment and a computer readable storage medium. The method comprises the following steps: acquiring three-dimensional scene data to be rendered; calculating the total opacity of the transparent objects in the three-dimensional scene data in the constructed auxiliary buffer area in a weighted accumulation mode; calculating background data of opaque objects in the three-dimensional scene data in the constructed main frame buffer area; and combining the total opacity and the background data to form an output image to finish rendering, so that the rendering efficiency and the visual effect can be remarkably improved in a complex scene.

The invention provides an interactive exchange chip debugging graphical interface construction method, device and equipment, and the method comprises the steps: obtaining a basic chip flow chart drawn based on an automatic flow chart drawing tool, and generating a visual SVG format file according to the basic chip flow chart, the SVG format file comprises a logic function module and a register of the chip; based on the SVG format file and the background data of the register, dynamically rendering each logic function module of the chip, binding the corresponding background data in real time, and realizing display and updating; and displaying detailed information of a specific logic function module or a register on an application interface according to a click operation of a user, and displaying an abnormal point of an assembly line in the chip in real time. According to the method, the development cycle and the labor cost of developing the graphical interface can be remarkably reduced.

The invention discloses a Beidou-based field personnel positioning and communication method and apparatus, and a storage medium. The method comprises the steps of obtaining position data information of a user through a Beidou short message satellite to obtain a current position of the user, and displaying the current position on a background data large screen in combination with a GIS map; judging whether the user is in a dangerous area or not according to the position data information, and sending a corresponding early warning notification to a first terminal positioning device of the user when the user is in the dangerous area; meanwhile, a motion trail can be generated according to the position data information, and an area through which the user passes in the future is predicted, so that early warning and prediction are realized; meanwhile, rescue information can be provided during rescue, the rescue efficiency and the success rate are improved, positioning and monitoring of field personnel are achieved, danger early warning is provided for the field personnel, and more data support is provided for rescue assistance.

The invention relates to the technical field of data reasoning, in particular to an intelligent dispute analysis system based on big data, and the system comprises an event collection module, a dispute analysis module, a scheme generation module, an emergency scheme module and an auxiliary decision generation module. Generating an original data set; extracting event key elements of the original data set to obtain a preliminary analysis report; in combination with the attribution feature data and the party background data, carrying out attribution secondary analysis on the preliminary analysis report to generate a personalized mediation scheme; when an emergency triggering condition is identified, rescue resource data are integrated based on an event geographic position, and an emergency disposal plan is automatically generated; and generating an auxiliary decision report based on the personalized mediation scheme and the emergency disposal plan. The dispute solving efficiency can be improved.

The invention relates to the technical field of emergency management, and particularly discloses a visual emergency management intelligent response system based on GIS and multi-terminal collaboration, which comprises a mobile terminal APP, a PC management terminal and an application layer, and is characterized in that the mobile terminal APP and the PC management terminal perform data interaction with a background database through a data communication interface; the application layer comprises an emergency management service module which is used for rapid reporting, positioning, multi-stage confirmation and disposal flow closed loop of emergencies; the emergency plan management service module is used for uploading, editing, querying and sharing plans; the emergency resource management service module is used for visual management and intelligent query of emergency materials; and the address book and duty table management service module is used for contact management and automatic and dynamic management of a duty table. According to the visual emergency management intelligent response system based on GIS and multi-terminal cooperation, the emergency response efficiency can be improved, the management cost can be reduced, and meanwhile, the information integrity is guaranteed.