257 results about "Datafication" patented technology

The embodiment of the invention provides a novel data architecture knowledge intelligent retrieval method and system for electric power system construction, and belongs to the technical field of data processing. The retrieval method comprises the following steps: collecting various data types of enterprise digital architecture related assets; carrying out tagging processing on the collected data; performing data fusion and knowledge extraction on the data by applying an RAG model and a graph database so as to construct a knowledge graph; semantic modeling is carried out based on a deep learning model, and accurate retrieval based on semantic understanding is constructed; building generative retrieval by combining RAG and GPT so as to meet the requirement of enterprise architecture knowledge retrieval; a precise retrieval technology and a generative retrieval technology are modularized. According to the retrieval method, intelligent retrieval service and monitoring analysis and strategy recommendation based on a scene rule engine can be realized through data acquisition, fusion, knowledge extraction and knowledge graph construction of enterprise digital architecture related assets, so that the problems in the prior art are solved.

The invention relates to the technical field of electric power management and control, and discloses an electric power BIM type data GIS discount classification method and system, and the method comprises the following steps: 1, constructing an electric power industry exclusive classification system and semantic mapping, and building a three-stage classification frame based on a GIS and an electric power industry standard; 2, unifying a space coordinate reference and a topological relation, and verifying topological consistency between components and between the components and topography and roads through a GIS (Geographic Information System) tool; 3, multi-scale classification and dynamic LOD model generation are carried out, and LOD model details are automatically switched according to a GIS scale; 4, performing data format conversion and intelligent lightweight processing, performing lossless compression on key components, and performing simplified compression on secondary components; and step 5, performing classification verification and dynamic updating mechanism, and comparing whether BIM and GIS base map position classification is correct or not, thereby realizing data synchronization. According to a dynamic classification framework and an intelligent lightweight strategy in the power industry, the BIM model efficiently adapts to the spatial analysis requirement of the GIS, and the data fusion and application efficiency is improved.

The invention discloses a part process generation method and system based on a process knowledge base, and the method comprises the steps: S1, connecting a process knowledge base through system software of a terminal, and carrying out the identification and screening of related process data in the process knowledge base; s2, according to the related process data screened and identified in the process knowledge base in the step S1, performing multi-domain similarity calculation and matching to obtain a processing feature process chain of the features of the to-be-processed part, and generating a step sequence set; and S3, according to the work step sequence set obtained in the step S2, optimizing the work step sequence set through an optimization algorithm, and generating a process route of the to-be-processed part. According to the invention, automatic generation of parts from characteristics to processes is realized, and intelligent and datamation automatic process generation is realized, so that the production efficiency of products is improved to a great extent.

The invention belongs to the technical field of BIM (Building Information Modeling), and particularly relates to a curved surface composite truss design and construction integrated method and device based on the BIM technology. The method comprises the following steps: considering four structural schemes for a building facade, generating a corresponding parameterized structural topology and a three-dimensional structural line model, adding a load, calculating, analyzing and optimizing a cross section, and generating four structural calculation models and building scheme models; the building space effects and the structure force transmission efficiency of the four structure schemes are compared, and the optimal one is selected as an implementation scheme; and forming a full-professional BIM model according to the selected implementation scheme. Building datamation is achieved through the BIM technology, digital delivery of design results is achieved, the link of two-dimensional plotting is reduced, steel structure deepening is further conducted through the BIM model in the construction stage, visual deduction is conducted on key procedures such as steel structure machining, assembling and hoisting, and digital construction is achieved.

The present application provides a method and system for determining regulation-violating behaviors underground. The method comprises: acquiring historical personnel behavior hidden danger data within a target area underground, and performing text mining and data processing on the historical personnel behavior hidden danger data to obtain spatial-temporal patterns of hidden dangers and prediction and early-warning results; performing association analysis on the basis of personnel regulation-violating data, the spatial-temporal patterns of the hidden dangers and the prediction and early-warning results, and carrying out knowledge modeling to determine an ontology model; using a knowledge extraction method to extract knowledge elements of a knowledge graph from the ontology model; performing knowledge fusion processing on the knowledge elements to determine knowledge fusion data; on the basis of the knowledge fusion data, using a top-down and bottom-up hybrid construction method to construct the knowledge graph; and determining regulation-violating behaviors of personnel underground on the basis of the knowledge graph. The present application can dynamically diagnose safety production risks and regulation-violating behaviors in mines, and can discover and predict related accident signs and provide early warnings to ensure safety production.

The invention is suitable for the field of data processing, and discloses a data treatment method, terminal equipment and a storage medium. The method is applied to a data facility, the data facility comprises a data platform, a data system and a data tool, and the method comprises the steps of accessing or collecting to-be-governed data; executing a preset operation corresponding to the full life cycle stage on the to-be-treated data, wherein the full life cycle stage comprises a data production stage, a data processing stage, a data circulation stage, a data application stage, a data maintenance stage, a data display stage and a data destruction stage; multi-dimensional data assessment corresponding to the full life cycle stage is executed on the to-be-governed data, assessment results are obtained, and the assessment results comprise a data value assessment report, a data quality assessment report, a data standardization assessment report and a data safety assessment report; and constructing a matrix type responsibility system according to an evaluation result, wherein the responsibility system maps a data engineer, a data analyst, a data manager, a data security teacher and a data quality evaluator to a corresponding life cycle stage in the full life cycle stage. According to the method, the problems of full-flow fault, evaluation subjectivity, role fuzzification and facility islanding in datamation treatment are solved.

The invention provides a machined part logistics transportation path planning management system, and relates to the technical field of data processing, and the system is used for reconstructing the spatial relationship of path nodes, splitting and combining the arrangement sequence and time sequence characteristics of the path nodes, and storing the path nodes in a database; calculating a dynamic quantitative index of a preset transportation path between a time dimension and a resource occupation dimension to obtain a time sequence tensor factor, identifying an offset track of a machined part between the preset transportation path and an actual transportation path, extracting transportation behavior characteristics between path nodes, calculating a time sequence disturbance degree of transportation path offset to a scheduling plan, and obtaining a scheduling result; the method comprises the steps of obtaining a scheduling influence coefficient, correcting a preset transportation path, adjusting the passing sequence and priority of path nodes, synchronously updating scheduling information, and carrying out linkage matching on path change information and a workshop plan to obtain linkage scheduling data. According to the invention, the whole-course data modeling and dynamic scheduling management of the transportation process of the workpieces are realized.

The invention discloses an automatic optimization method for a digital twin model, and the method specifically comprises the following steps: S1, a data collection module is used for collecting the related construction data of each scene, and a model construction module is used for constructing the digital twin model according to the collected scene data; and S2, parameters in an actual application system are collected through a target parameter collection module, and a classification module is used for classifying the collected target parameters. According to the automatic optimization method for the digital twinborn model, data of actual system application parameters are stored in a database, the actual parameters are drawn into a data table diagram and stored, and a test unit substitutes test data into the digital twinborn model for running test. Various data in a test state and various data in practical application are compared and analyzed, and then parameters of the digital twin model are optimized and corrected according to comparison errors, so that the accuracy of the digital twin model is continuously improved.

The invention is suitable for the technical field of crossing of material science and computer science, and provides a method and device for predicting the thermal conductivity of a composite material, and the method comprises the steps: obtaining the datamation structure characteristics of a to-be-predicted composite material microstructure; inputting the datamation structure feature into a pre-trained machine learning prediction model, and outputting a predicted macroscopic physical performance value by the machine learning prediction model; wherein the machine learning prediction model is obtained through training by utilizing a structure-performance database, the structure-performance database comprises a plurality of data pairs, and each data pair comprises a datamation structure feature representing the microstructure of the composite material; and a predetermined macroscopic physical performance value corresponding to the digitized structural feature. Therefore, when the performance of the composite material is predicted, the calculation efficiency and the prediction accuracy can be considered.

The invention discloses an environmental protection information datamation management monitoring method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, the system comprises a management center, and the management center is connected with an intelligent acquisition module, an information processing module, a data analysis module and a comprehensive monitoring module; constructing a monitoring domain space, extracting multi-dimensional environmental protection information, obtaining a statistical multi-dimensional coefficient, setting a dynamic amplitude function to perform dimension expansion, and obtaining an expanded amplitude function; carrying out local acquisition on the extended amplitude function to obtain a local amplitude function, carrying out equipartition extraction on the multi-dimensional environmental protection signal through the local amplitude function to obtain an environmental protection environmental protection local wave coefficient, and constructing an environmental protection feature representation graph; carrying out segmented extraction on the environmental protection characteristic representation graph to obtain a peak domain characteristic value, and setting an analysis threshold to carry out trace judgment on the peak domain characteristic value to obtain a pollution flow direction trace; the data management efficiency is improved, the pollution source is accurately positioned, and the monitoring effect is improved.

The invention discloses a hierarchical double-model fused wind power prediction data model, and relates to a digital intelligent technology in a wind power scenario, and the data model firstly constructs a data layer based on a Transform architecture and a convolutional neural network, then carries out the pre-training of the data layer through a pre-constructed annotation data set, and finally carries out the pre-training of the data layer. Obtaining a double-model fused wind power prediction data model, and recording the model as a model A; and an independent data layer is further constructed on the basis of the model A and is recorded as a model B, so that a hierarchical data model architecture is formed. The hierarchical model architecture provided by the invention is pioneering in the technical field, and the efficiency of data intelligent modeling of the wind power can be remarkably improved.

The invention relates to the technical field of geographic information, in particular to a territorial transaction dynamic monitoring and analysis system based on multi-source data fusion, which comprises a data integration and storage unit, a knowledge graph construction unit, a real-time verification unit, a trusted transaction verification unit and a dynamic monitoring and decision support unit. According to the method, heterogeneous data are integrated through a multi-modal data lake architecture, space-time reference unification is carried out, a transaction element association network is constructed by utilizing a knowledge graph technology to generate a dynamic verification rule, and real-time compliance filtering of a transaction process is realized in combination with an Flink flow processing engine; and transaction price rationality verification and subject correlation analysis are completed by means of an improved isolated forest algorithm and a graph convolutional network, and evidence storage is performed based on a block chain technology, so that full-process intelligent management of land transaction data, accurate identification and prevention and control of risks, and efficient and datamation support of supervision decision are realized.

The invention discloses an advertisement pushing method and device based on artificial intelligence and a medium, and relates to the technical field of advertisement pushing, and the method comprises the steps: collecting data information of a user, carrying out the preprocessing operation, and dividing the data into a scene data set and a user interest data set; constructing a scene recognition model, and training the scene recognition model through the scene data set; constructing a user interest model, and training the user interest model through the user interest data set; analyzing the advertisement content, extracting an advertisement keyword, defining a scene keyword for the scene according to the current scene of the user, and matching and pushing the scene keyword; and carrying out effect evaluation and optimization on the pushed advertisement. According to the method, advertisements related to the current scene can be pushed to the user through scene perception advertisement pushing, so that the click rate and the conversion rate of the advertisements are improved, the satisfaction degree of the user is improved, and the loyalty of the user to the brand is enhanced.

The invention relates to the field of strong wine detection, and discloses a strong wine visual non-target metabonomics origin traceability method, which comprises the following steps: firstly, collecting strong wine original data, digitizing and outputting the collected strong wine original data to obtain strong wine output data; performing preliminary analysis by using a clustering analysis method to obtain first analysis data; performing secondary analysis on the first analysis data by using a principal component analysis mode to obtain second analysis data; and finally analyzing the second analysis data by partial least square discriminant analysis or orthogonal partial least square discriminant analysis, and screening, comparing and identifying the characteristic compounds to obtain the non-target metabonomics origin traceability place of the strong wine. According to the method, the problems that a non-target metabonomics traceability technology easy to visually display does not exist in the prior art, and a standardized operation instruction integrating efficient pretreatment, non-target screening, rapid traceability, accurate confirmation and visual display does not exist are solved.

The invention discloses a deformation detection system and a deformation detection method for a main beam of an overhead and portal crane, and belongs to the technical field of detection equipment, the deformation detection system comprises a laser position sensor, data analysis equipment and a wheel type walking vehicle, the laser position sensor comprises a laser transmitter and a laser receiver, the laser transmitter is mounted at one end of a main beam of the gantry crane, the laser receiver comprises a laser receiving target and a photoelectric converter, the laser receiving target is kept in a vertical state through a balancing weight, and the data analysis equipment is in communication connection with the photoelectric converter. The deformation detection method comprises the steps that the laser position sensor and the wheel type walking vehicle are started, the wheel type walking vehicle moves, a laser beam is received, the photoelectric converter converts the vertical position of laser on the target into an electric signal, the data analysis equipment obtains the instantaneous position according to the horizontal distance, and the vertical deformation degree of the instantaneous position is calculated. Reliable data support is provided for daily safety maintenance of the crane, and the problems that human eye detection is poor in accuracy and cannot be digitized are solved.

The invention belongs to the technical field of constructional engineering, and particularly relates to an intelligent special construction scheme recommendation terminal based on an information network, and the recommendation terminal comprises a scheme compiling and review module which is used for carrying out the retrieval and matching of a related standardized technical scheme template through inputting a keyword, and intelligently assisting a scheme compiling worker to compile a construction scheme online; the technology online disclosure module is used for generating and approving second-level and third-level technical disclosure and implementing management and control; and the scheme implementation module is used for performing key process management and risk point monitoring through an intelligent construction site and a BIM technology, and ensuring datamation and visual management in a scheme implementation process. According to the intelligent special construction scheme recommendation terminal based on the information network, management and control are carried out around the whole chain of the technical scheme, the whole process management and control of the whole technical scheme are associated for management, the process can be traced, data can be archived, a global technology whole process management supporting platform is built, and the informatization and digitization level of the whole process of technology management is improved.

The invention relates to the technical field of intelligent traffic, and discloses a highway toll station traffic efficiency evaluation system and method based on multi-source time sequence data, and the system comprises a data analysis module, a preprocessing module, a feature processing module, a dual-model evaluation module and a grading evaluation module. The method is applied to the system. The method focuses on expressway toll station passing efficiency evaluation to form a multi-source time sequence data driven dual-index evaluation system, realizes real-time accurate evaluation of the toll station operation state, provides scientific and datamation decision basis for operation management, and effectively solves the problems of insufficient data fusion, monotonous evaluation standard and the like of traditional manual monitoring.

The invention relates to the technical field of space planning analysis, in particular to a land space planning analysis system based on big data, which comprises a boundary discrimination module, a purpose offset module, a coordination analysis module, a change identification module and an ownership selection module. According to the method, an efficient spatial information circulation and feedback chain is constructed by combining boundary space structure extraction, use weight distribution mapping, population use collaborative feature analysis, resource configuration change trend tracking and an ownership affiliation unit optimization mechanism; global linkage judgment of core elements such as spatial forms, purposes, population and resources in a complex territorial structure is achieved, the whole-course quantitative perception ability of planning and management is enhanced, land purpose optimization, resource allocation dynamic balance and accurate orientation of ownership relations are promoted, data transparency of a space governance link and continuity of a decision closed loop are improved, and the space governance efficiency is improved. Flexible adjustment and fine management of a spatial pattern in a multi-dimensional scene are supported, and the datamation and intelligence level of a territorial space treatment system is enhanced.

The invention provides a three-dimensional sedimentary facies modeling method and device based on planar graph constraint, and the method comprises the steps: loading a sedimentary facies graph and a thickness graph to a three-dimensional space, projecting a planar graph to an oil reservoir grid through space coordinate transformation, and coarsening the planar graph into an oil reservoir grid surface attribute; establishing a rapid sedimentary facies model by utilizing the plane sedimentary facies diagram, and establishing lithologic probability volume data by utilizing the plane thickness diagram and through coKriging interpolation; and the logging sedimentary facies data serve as hard data, the rapid sedimentary facies model serves as spatial constraint, the probability body serves as trend constraint, and a sequential indication simulation algorithm is utilized to generate the sedimentary facies model. According to the three-dimensional sedimentary facies modeling scheme based on the planar graph constraint provided by the invention, information such as the logging facies, the planar facies and the thickness graph is comprehensively utilized, the understanding of geologists can be introduced between wells, the problems of mathematics and datamation of a conventional method are solved, and the precision of a sedimentary facies model is improved.

The invention provides an efficient electric power data classification and grading protection method, particularly provides an automatic electric power data classification and grading protection method and system, and aims to solve the problems of insufficient classification precision, poor dynamic adaptability, high privacy leakage risk, low protection efficiency and the like in intelligent and datamation transformation of electric power data. The working process of the protection method comprises the steps of data input, feature extraction, hierarchical convolution processing, dynamic optimization and result encryption and output. The method improves the classification precision, dynamically adapts to the data distribution change, reduces the privacy leakage risk, reduces the encryption and decryption time delay, and improves the model iteration efficiency.

The invention discloses a real-time acupuncture point mapping method based on a bone degree deflection method and a human body posture key point model, and relates to the technical field of traditional Chinese medicine digitization. According to the real-time acupuncture point mapping method based on the bone degree discount method and the human body posture key point model, acupuncture point coordinates are calculated by combining the standard bone degree discount proportion with the objective distance between the human body posture key points, traditional empirical positioning is converted into datamation and standardization calculation, personal errors are reduced, BMI parameters are introduced to formulate a BMI interval correction table, and the real-time acupuncture point mapping accuracy is improved. The three-dimensional coordinates of the acupoints are accurately corrected through the coordinate correction coefficient, it is ensured that acupoint mapping of users of different body types is highly matched with the actual subcutaneous position, the purpose of improving the acupoint positioning effect is achieved, a corresponding acupoint mapping template is selected according to the judgment result of the human body orientation, a real-time AR picture is generated in an AR superposition rendering mode, and the user experience is improved. And real-time mapping of human body acupuncture points is realized.

The invention discloses an old building reconstruction design method and system based on BIM and real-time monitoring, and relates to the field of old building reconstruction design, and the technical scheme is that the method comprises the steps: constructing a three-dimensional observation environment, carrying out the multi-stage three-dimensional collection of a to-be-reconstructed building, and obtaining observation data with unified coordinates and time stamps; performing stage comparative analysis on the observation data, and performing space matching and data integration under BIM constraint to form three-dimensional time sequence information oriented to each building component; based on the three-dimensional time sequence information, establishing a historical memory model under component identifiers of the BIM model, and extracting a time sequence evolution rule of deviation and defects of each component; and according to a time sequence evolution rule, establishing a transformation evaluation model, comprehensively analyzing the safety, durability and use functions of each component of the building, and generating a transformation design scheme. The method has the beneficial effects that through multi-period three-dimensional acquisition and BIM fusion analysis, the whole-process datamation and intelligent management of old buildings from state monitoring to reconstruction design is realized.

The invention relates to the technical field of enterprise management, and particularly provides an intelligent standard operation and sale visiting management method and device, and the method comprises the following steps: S1, a salesman logs in an APP; s2, a client visiting plan; s3, intelligent route planning; s4, performing visiting; s5, synchronizing the data in real time; s6, performing background management; s7, efficiency optimization is carried out; and S8, completing the steps, and ending the visiting process of the salesman. Compared with the prior art, the system can help salesmen to complete customer visiting tasks more efficiently through intelligent and datamation means, provides rich data support for companies, and helps the companies to make decisions and manage better.

The invention discloses a chemical product yield statistics device and method and a computer readable storage medium. The device comprises a real-time database system used for collecting and recording real-time data of a chemical product production line, a plurality of nodes of the chemical product production line comprise a device side line, a storage tank, a loading and unloading platform and a mutual supply unit, and the real-time data comprise input data of the device side line, gauge data of the storage tank, temperature data, test analysis data and quality state data; receiving and paying data among a plurality of nodes; the tank quantity calculation model is used for performing calculation based on the tank capacity table and the real-time data to obtain the capacity information of the storage tank; and the data integration platform is used for integrating at least part of data in the capacity information and the real-time data according to the physical topology models corresponding to the plurality of nodes, and generating a production-sales-stock data report of the chemical production line. The technical problems of low accuracy and low efficiency of a chemical product yield statistical scheme in related technologies are solved.

The invention discloses a drilling rescue ultra wide band radar life detection imaging system and method. The system comprises a life information detection unit, a scroll wireless communication unit and a life information display unit. The life information detection unit is used for collecting life information inside and around a drill hole, the reel wireless communication unit is responsible for lowering and lifting the life information detection unit and transmitting data obtained by the life information detection unit to the life information display unit, and the life information display unit transmits the received data to the control unit. Information is projected into the air by using an aerial imaging technology, a clear three-dimensional life information image is displayed in the air, a rescue worker controls the detection direction of the life information detection unit by rotating eyeballs, and life information detection in different directions is realized. According to the method, the multi-dimensional information of the interior of the drill hole and the surrounding environment of the drill hole can be rapidly and comprehensively obtained, real-time, datamation and visualization of life information are achieved, a reliable auxiliary decision-making basis is provided for drill hole rescue, and the rescue efficiency and accuracy are improved.

The present invention relates to the field of data processing technology, and discloses a method for profiling employee learning ability and related devices, including: obtaining employees' historical assessment data, historical training data, job resource knowledge graphs and question bank data; digitizing the historical assessment data to obtain a historical assessment matrix; performing knowledge point annotation processing on each test question in the question bank data to obtain a knowledge point matrix; calculating the employee's knowledge mastery based on the historical assessment data and historical training data; establishing a knowledge point scoring matrix based on the historical assessment matrix, the knowledge point matrix and the employee's knowledge mastery; applying a latent semantic model based on the employee's knowledge point scoring matrix and the job resource knowledge graph to evaluate the employee's learning ability and obtain target portrait data. By implementing the method provided by this application, the analysis and evaluation of the employee's learning ability can be accurately realized, which helps to improve the employee's professional learning ability so that they can be better qualified for their job.

The invention discloses an Internet-based intelligent human resource management method and system, and relates to the technical field of intelligent human resource management, and the system comprises an automatic recruitment subsystem, a performance management subsystem, an employee service management platform, an intelligent optimization adjustment module, and a personnel data management module. The automatic recruitment subsystem is used for selecting and collecting data information of applicants meeting company post requirements, screening the data information and then automatically arranging interviews, inputting the applicants according to interview results, and arranging corresponding skill training according to personal skill information of the applicants. According to the intelligent human resource management system, datamation and intelligentization of various businesses of human resource management are realized, the operation process is simplified, and the management efficiency is improved; through real-time management of employee information, the employee condition can be mastered more accurately, human resources are reasonably allocated, the overall competitiveness of an enterprise is improved, the diversified requirements of modern enterprises in the aspect of human resource management are met, and the management efficiency and the decision quality are improved.

The invention relates to the technical field of mold design, in particular to an injection molding gear mold structural strength calculation method based on datamation design. The method comprises the following steps: firstly, acquiring fixed parameter data, injection molding real-time data and historical data; meanwhile, performing finite element analysis on the fixed parameter data to obtain first stress distribution data; then, fixed parameter data and injection molding real-time data are input into the trained multi-task local stress distribution prediction model, and local area masks and local stress distribution prediction data are obtained; then, obtaining a stress distribution influence coefficient according to a real-time stress distribution influence weight output by the stress distribution influence prediction model; obtaining second stress distribution data according to the stress distribution influence coefficient and the first stress distribution data; combining the local stress distribution prediction data, the local area mask and the second stress distribution data to obtain final stress distribution data; and obtaining the structural strength of the injection gear mold according to the final stress distribution data.

The invention belongs to the technical field of balance ability training, and particularly relates to a balance ability evaluation training method and system based on COP real-time visual feedback. The method comprises the steps of static balance capability evaluation, dynamic balance capability evaluation and balance capability training. The system comprises a COP data acquisition module and a COP visual feedback module. The COP data acquisition module comprises a plantar pressure sensor module and a COP data processing module; the COP visual feedback module comprises a static balance capability evaluation module, a dynamic balance capability evaluation module, a balance capability training module and a result display module; according to the invention, a datamation and standardization balance ability assessment training process is provided, the influence of individual difference actions on balance ability assessment and training is avoided, and the balance ability can be trained in an intensified manner; the integrated evaluation training service provided by the invention ensures good use experience and efficient test operation and maintenance, and has a wide application prospect.

The invention provides a modeling simulation method suitable for a diversified hydrogen fuel cell system. Comprising the following steps: designing an overall structure of a framework, digitizing and symbolizing a simulation model of the hydrogen fuel cell system at a human-computer interaction end, formatting and storing data at a database end, and realizing the structure performance simulation of the diversified fuel cell system at a simulation model end. The implementation method can effectively solve the problems that an autonomously established hydrogen fuel cell system simulation model is not suitable for diversified system structures and is poor in universality and practicability, modeling and simulation of the hydrogen fuel cell diversified structure are achieved, and technical support is provided for diversified research and design of a fuel cell system.