605results about How to "Convenient query" patented technology

The invention discloses a mirror image type industry linkage engine system and method based on a knowledge graph, and relates to the technical field of industry linkage engines, and the system comprises a data collection module which collects multi-industry data in multiple modes, and the cleaning accuracy is 90% or above; the knowledge graph construction module is combined from bottom to top and from top to bottom, and is used for distributed storage and block chain evidence storage; the industry mirror image model generation module is used for generating a model through machine learning, and the association accuracy is 95% or above; the linkage analysis and decision module is used for finding a linkage strategy through an intelligent algorithm; and the user interaction module has a graphical interface, is fast in response, can feed back optimization, and supports multi-language and VR / AR display. The system is accurate and efficient in data processing, integrates multi-source data to construct the knowledge graph, is deep and comprehensive in industry analysis, simulates industry relations to assist decision making, is intelligent and reliable in decision making support, provides strategies and evaluation, is convenient and friendly in user experience, improves interactivity through multiple technologies, promotes accurate decision making of enterprises, and promotes collaborative development and innovation of the industry.

The invention discloses an air conditioner energy-saving control method and system based on multi-objective optimization, a medium and a product, and relates to the field of data processing. The method comprises the steps that optimization targets for conducting energy-saving control on the air conditioner and corresponding constraint conditions are determined, and the optimization targets comprise target air conditioner energy consumption and target comfort degree; acquiring current environment data of the air conditioner; the equipment operation parameter combination of the air conditioner is used as particles in the multi-target particle swarm algorithm; determining an optimal solution through a multi-target particle swarm algorithm; the air conditioner is controlled according to the parameter combination corresponding to the optimal solution; the actual air conditioner energy consumption and the actual comfort degree are obtained; based on the target air conditioner energy consumption, the target comfort level, the actual air conditioner energy consumption and the actual comfort level, the equipment operation parameters of the air conditioner are adjusted through a PID control algorithm, and final equipment operation parameters are obtained; and controlling the air conditioner to work according to the final equipment operation parameters. According to the method, both the energy-saving effect and the comfort level of the air conditioner are balanced.

The invention discloses an evaluation method based on water ecological environment monitoring, and relates to the technical field of water ecological environment evaluation. Comprising the steps of data collection: obtaining a river basic information data set, a monitoring equipment information data set and a historical monitoring information data set, and building a cloud server to store the river basic information data set, the monitoring equipment information data set and the historical monitoring information data set. According to the method, each region is accurately monitored through region division of river landforms and a targeted monitoring method, the timeliness of monitoring data is ensured, the water quality condition can be evaluated in real time and the water quality of the corresponding region under unique weather can be evaluated by acquiring a region monitoring data set and a weather information data set in real time to cooperate with an evaluation model, and the water quality evaluation accuracy is improved. In addition, weather changes can be monitored and early warned, timely support is provided for dealing with emergencies, and by summarizing the method, related departments can formulate more reasonable treatment schemes, the water quality management efficiency and effect are improved, and the water quality problem is found and solved in time.

The invention belongs to the technical field of front-end development, and particularly relates to a React framework-based tree component optimization method fusing virtualization rendering and increment rendering. Comprising the steps of S1, data preprocessing; S2, dynamic virtualization rendering: dynamically calculating a node index range in a visible area according to a real-time scrolling position of a user viewport, only rendering nodes in the range, and realizing seamless lazy loading of data through scrolling event monitoring; s3, intelligent incremental updating: identifying changed nodes through a state change comparison algorithm, and executing local re-rendering only for the changed nodes based on a component life cycle control mechanism of a React framework; and S4, lazy loading cooperative control. The method aims at solving the problems in the aspects of performance, memory management, user experience and the like when a tree component in a React ecological system processes large-scale data, and is widely applied to various Web application program development scenes needing to display and operate a large-scale tree data structure.

The invention discloses a tongue picture characteristic change rule analysis method based on the rehabilitation process of a chronic disease patient, and relates to the technical field of health big data analysis, and the method comprises the steps of tongue picture data standardized collection, tongue picture data recording system establishment, tongue picture characteristic data analysis, result visualization and report generation. According to the invention, through a standardized tongue picture data acquisition mechanism, the quality and consistency of the tongue picture data are ensured, and through controlling illumination conditions, background colors, diet restrictions and posture requirements, the influence of external factors on the tongue picture data is reduced, and the accuracy and reliability of the data are improved. By comprehensively evaluating definition, noisy points, contrast ratio and color accuracy verification parameters, it is ensured that collected tongue picture data reaches a preset quality standard, and a high-quality data basis is provided for subsequent analysis; meanwhile, a comprehensive tongue picture data recording system is established, and tongue picture data are effectively stored and managed.

The invention discloses an automatic processing method and device and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring an invoice image; performing feature extraction on the invoice image to obtain layout features corresponding to the invoice image; matching a corresponding target invoice template according to the layout characteristics; determining region segmentation parameters for the invoice image, and performing key information extraction on the invoice image according to the region segmentation parameters to obtain a plurality of key information regions; performing OCR (Optical Character Recognition) on each key information area to obtain an invoice information text corresponding to each key information area; if it is determined that the invoice information text is correct, key field extraction is conducted on the invoice information text, invoice keywords are obtained, and structured invoice information data are constructed according to the invoice keywords; and associating the invoice image with the invoice information data, and generating an invoice identification code. By implementing the technical scheme provided by the invention, the workload of manual input and verification is reduced, and the efficiency is improved.

The invention discloses a water conservancy project dam detection method and device based on an unmanned aerial vehicle and a medium, belongs to the technical field of water conservancy project dams, and aims to solve the problems that an existing water conservancy project dam often depends on manual inspection, the detection efficiency is low, the labor cost is high, missing detection and misjudgment are likely to occur, and the detection efficiency is high. And intelligent monitoring and early warning of dam risks are not facilitated. The method comprises the steps of collecting a real-time detection image of a dam based on a preset unmanned aerial vehicle flight plan; performing risk identification processing related to dam main body characteristics on the real-time detection image to obtain dam main body characteristic information; through preset dam laser radar data, carrying out calculation processing related to dam appearance characteristics on the real-time detection image to obtain dam appearance characteristic information; and according to the reflectivity data of the preset multispectral image, carrying out index judgment processing on dam environment characteristics on the real-time detection image to obtain dam environment characteristic information.

The invention discloses a knowledge archiving method, device and equipment, a storage medium and a computer program product, and relates to the technical field of data processing, the disclosed knowledge archiving method comprises the following steps: performing service type classification on an unstructured target demand document by adopting a vector machine algorithm to obtain a first classification result; a basic large model is adopted to generate a document abstract of the target demand document, service type classification is conducted on the target demand document according to the document abstract, a second classification result is obtained, and the basic large model is a large language model obtained through training of historical demand documents and historical document abstracts; determining a target classification result of the target demand document based on the first classification result and the second classification result; and filing the target demand document, the document abstract and the target classification result into a preset knowledge base in a structured form. According to the method and the device, the unstructured business requirement document can be efficiently archived into the structured document knowledge.

The invention discloses a compiling, checking and reviewing method and system for a three-dimensional model of a three-dimensional factory. The method comprises the steps that a three-dimensional factory design cooperative working platform conducts checking before checking and reviewing on the three-dimensional model and generates a checking report; in response to an operation instruction of a compiling and checking person, the platform submits a model checking requirement and a connection relationship between an item bottom layer and a database in the three-dimensional model to the checking person for checking, and meanwhile, the model checking requirement and the connection relationship can be returned to the modeling person for modification, and operation is repeated until checking is passed; and finally, the platform locks the checked, edited and revised three-dimensional model and stores the three-dimensional model in a platform database. According to the method, the workload of modeling personnel can be reduced, the quality of the three-dimensional model can be controlled through a platform tool, the quality of the model can be controlled step by step in detail, meanwhile, the three-dimensional model is locked all the time in the verification process, the three-dimensional model can be modified only at the modeling personnel, and the verification efficiency is improved. And the consistency of the three-dimensional model and the drawing is further ensured.

The invention relates to the related technical field of digital data processing, in particular to an intelligent ancient book information processing method and device based on artificial intelligence, and the method comprises the steps: scanning an ancient book, constructing a knowledge graph, dividing a domain database, and training a vertical processing model; introducing a multi-form historical carrier to form a multi-mode sensing set, establishing a multi-information network, and embedding a processing model; the method comprises the following steps: establishing a dialog box, realizing multi-round interaction and combining threshold optimization output, solving the technical problems of digitization and fragmentation limitation in ancient book information processing and incapability of effectively integrating and utilizing ancient book information due to diversity and complexity of ancient books and literatures, and realizing construction of a knowledge graph and division of a domain database. A knowledge system with a hierarchical structure and logic association is formed, deep learning and optimization are performed according to specific requirements in the field of ancient books by training a vertical processing model, a dialog box is established, multi-round interactive feedback with the user is performed, and the user is assisted to quickly and deeply explore the ancient books.

The invention discloses a three-dimensional environment coverage method for on-line sub-region updating and hierarchical planning, which remarkably improves the exploration efficiency and reduces the calculation consumption through on-line sub-region updating and hierarchical planning. Firstly, a fast environment preprocessing method is used, only updated boundary extraction leading edge points are checked, and therefore the calculation burden is reduced. Secondly, constructing a sparse topological graph, discretizing the space, and storing topological nodes by using a KD tree, so that time-consuming path search on a three-dimensional voxel map is avoided; in addition, hierarchical structure division of sub-regions is provided, the environment is divided into a plurality of adaptive sub-regions, environment information is updated in real time, and subsequent exploration planning is supported. A hierarchical planning strategy is adopted, environment coverage is modeled as a traveling salesman problem, a global coverage path is solved, and the total path length of subarea access is considered. Compared with a greedy strategy, the method provides a long-term perspective and improves the exploration efficiency. Finally, the efficiency and feasibility of the method are proved through simulation and actual measurement verification.

The invention discloses an intelligent monitoring system for the running state of a water turbine. The intelligent monitoring system comprises a data acquisition module, a real-time data pushing module, a data storage module, a state evaluation module and a man-machine interaction module. The data acquisition module is used for acquiring vibration, throw, pressure pulsation and key phase information by using various sensors; the real-time data pushing module is used for distinguishing data types and pushing the data through WebSocket and HTTP protocols; the data storage module adopts a Redis and MySQL double-layer framework; the state evaluation module constructs an evaluation index system, determines a weight by using an entropy weight method and an improved analytic hierarchy process, and determines an operation state through deterioration degree analysis and fuzzy comprehensive evaluation; the man-machine interaction module displays monitoring data and evaluation results, provides a real-time monitoring, data query and state evaluation interface, has the advantages of being fast in data updating, convenient to query, visual in display and the like, can comprehensively monitor the operation state of the water turbine, and provides powerful guarantee for safe and efficient operation of a hydropower station.

The invention discloses a method and equipment for realizing advertisement effect analysis based on standardized data processing, and a medium. The method comprises the following steps: creating a unified media cost table, a burying point data table, a media ID dimension table and a media service relation table; collecting data and recording the data in a corresponding table; storing the media cost table, the burying point data table, the media ID dimension table and the media service relation table in a Mysql database; obtaining user access log data, and storing the user access log data in a local file; obtaining service log data, and storing the service log data on a server program; writing the data on the Mysql database, the local file and the server program into a real-time streaming kafka message queue; the data in the kafka message queue is stored in the ClickHouse in real time; calling data in the ClickHouse to generate a BI report and carrying out statistics; and analyzing an advertisement putting effect according to a statistical result of the BI report. The advertisement putting effect can be tracked in real time.

The invention discloses a visual database system supporting real-time collaboration and computer equipment, and the system comprises a space management module which is used for managing a database space and dividing a database into a plurality of spaces, and the use permissions of different users are restrained to be in the corresponding spaces; the user system module is used for managing user attributes and user permissions of the users in each space based on configuration operation of an administrator on the visual page; the database management module is used for performing data storage in each space based on preset database configuration data, and querying the data stored in the corresponding space based on a data query instruction input by a user on the visual page; the operation auditing module is used for querying and auditing the data modification information of all the spaces based on the user permissions of different users and recording the data modification information; and the API management module is used for accessing a RESTful interface to query and modify the data in the database management module.

The invention provides a data classification and grading system based on a big data AI technology. A data acquisition module acquires data from various data sources such as a database, a file system, an API, a real-time data stream and a web crawler; the data preprocessing module is responsible for data cleaning, format conversion and duplicate removal; the feature extraction module extracts key features through principal component analysis and other feature engineering technologies; the classification model training module uses a deep learning algorithm to train a model, and improves the model performance through SVM optimization and cross validation; and the classification and grading module is used for classifying and grading the new data by using the trained model to generate a classification and grading result. Finally, the result storage and display module stores the result in a database and provides a user interface for query, the system improves the efficiency, accuracy and adaptability of data classification and grading by integrating multiple data processing technologies, and can process complex high-dimensional and unstructured data.

The invention provides a PLC-based dosing control system for sewage treatment. The system comprises a power supply module, a data acquisition module, an Internet of Things communication module, a processor module, a dosing control module and a central control system module which are connected in sequence, wherein the data acquisition module is used for acquiring the water inflow of sewage and various water quality parameters in the sewage treatment process and the sewage discharge process; the Internet of Things communication module is used for realizing communication interaction of the dosing control system; the processor module is used for analyzing the water inflow and various water quality parameters based on the PLC, and calculating the dosing amount and adjusting the dosing control parameters in cooperation with the dosing control module according to the analysis result; and the central control system module is used for dynamically displaying sewage treatment related data and interacting with workers. According to the system, the overall operation efficiency of the dosing system is improved, the operation difficulty of operators is reduced, and the dosing accuracy and convenience during sewage treatment are improved.

The invention discloses an operation data management and maintenance method and device of energy storage equipment and a medium, and relates to the field of new energy power systems, and the method comprises the steps: obtaining the operation data of the energy storage equipment on that day; carrying out structured storage on the operation data of the day; generating a day freezing file of the day according to the running data of the day, and uploading the day freezing file to the cloud platform server; and when abnormal operation data occurs in the operation data of the current day, generating an abnormal data recording file, and uploading the abnormal data recording file to the cloud platform server. According to the method, the operation data of the energy storage equipment is periodically stored, the data is divided according to the date, and the daily frozen data file is generated, so that later calling is facilitated; according to the method and the system, the operation data is stored in real time, the abnormality of the operation data is judged in real time, the occurrence moment of an abnormal point is conveniently inquired by recording half of normal operation data and half of abnormal operation data, and the fault is compared and analyzed according to the operation data before and after the fault at the moment, so that the fault analysis efficiency of the energy storage equipment is improved.

The invention relates to the field of power system operation and maintenance, in particular to a three-dimensional visualization method applied to a substation operation and maintenance system, which comprises the following steps of: acquiring a three-dimensional model and position information of substation equipment, constructing an integral three-dimensional model of a substation by utilizing technologies such as laser scanning and photogrammetry and combining positioning technologies such as GPS (Global Positioning System) and RTK (Real-Time Kinematic); a sensor is installed on equipment, operation parameters such as voltage, current, temperature and vibration are collected in real time and transmitted to a three-dimensional visualization system through a wireless or wired communication network, association display of real-time data and a three-dimensional model is achieved, and the system provides a three-dimensional view capable of rotating, zooming and translating. The operation state and fault alarm information of the equipment are displayed in real time, and historical data query and alarm log functions are supported. By analyzing real-time and historical data, the system can identify and predict potential faults of the equipment, generate maintenance plans and optimization suggestions, and support remote collaboration and fault handling.

The invention discloses a welding robot system based on visual guidance, which comprises an artificial potential field welding robot path planning algorithm, the artificial potential field welding robot path planning algorithm is combined with an ant colony algorithm, and the artificial potential field welding robot path planning algorithm and the ant colony algorithm comprise artificial potential field function simulation, ant colony algorithm simulation and path search, pruning strategy and path optimization mechanism. And the step operation system (GBOS) comprises three-dimensional model importing and welding seam positioning. According to the method, the welding path planning technology of the ant colony algorithm of the artificial potential field function is fused, the welding robot is guided to avoid obstacles by simulating attraction force and repulsive force, the optimal path can be accurately recognized, the coverage rate of the searched path to the environment can reach 74.63%, a good convergence curve can be obtained, and after the pruning strategy is introduced, the optimal path can be obtained. According to the method, the path can be optimized, redundant broken lines or path sections are removed, and optimization of the path length and complexity is achieved, so that the welding time and cost are reduced, and the welding efficiency is improved.

The invention belongs to the technical field of informatization security and secrecy, and particularly relates to an encrypted optical disc illegal external connection alarm tool which comprises a recording and printing tool recorded in an optical disc in an encrypted mode and an internet detection module. And automatically associating a specific website after the recording and printing tool is opened, and judging that the compact disc is used illegally if the association is successful. According to the invention, information security management can be enhanced, the management efficiency is improved, the information security cost is reduced, comprehensive monitoring and timely alarm of the secret-related optical disk are realized, and the security and confidentiality of the secret-related information are greatly improved.

The invention discloses a CTC station autonomous machine configuration data automatic testing method suitable for multiple simulation interfaces. Aiming at the operation problem of multiple simulation interfaces in the test process of CTC station autonomous machine configuration data, the test method realizes automatic operation of simulation software by performing image recognition and judgment on operation interfaces of simulation station association and simulation train control software; therefore, a receiving and departure indication lamp, an auxiliary lamp, an allowed departure lamp, a supervision interval lamp and a repeating annunciator of related ports in a station yard display interface and a specific approaching / leaving section outside an annunciator in an interlocking upper computer interface can automatically simulate conditions required by a test in a test process, and the test efficiency is greatly improved.

The invention discloses a nutrition monitoring system for an esophageal cancer patient, and aims to improve the nutritional status of the patient through real-time monitoring and personalized evaluation. The system comprises a data acquisition module, a nutrition analysis module, a personalized recommendation module and a data management module. The data acquisition module collects physiological data and diet information of a patient through the intelligent wearable device and the nutrition intake recording device. And the nutrition analysis module evaluates whether the nutrition intake of the patient reaches the standard or not by utilizing a nutrition database and a data processing analysis technology, and predicts the future nutrition demand. And the personalized recommendation module provides customized diet suggestions for the patient according to the evaluation result and the expert nutrition guide. The data management module is responsible for storing and managing the nutrition information of the patient and generating a nutrition monitoring report. The system can provide comprehensive and real-time nutrition monitoring and management for esophagus cancer patients, and is beneficial to improving the treatment effect and life quality.

The invention relates to the technical field of electronic component data processing, in particular to a database construction method and system based on electronic components. The method comprises the following steps: carrying out component information acquisition through an electronic component transaction platform to obtain an original component data set; performing component relation mapping construction according to the original component data set to obtain a component association graph; performing multi-dimensional attribute extraction on the component association map to obtain component attribute vectors; performing component similarity calculation and clustering analysis according to the component attribute vector to obtain a component cluster; and extracting pin information according to the component cluster to obtain a cluster pin data set. According to the method, multi-dimensional condition screening, sorting and result explanation are realized, an accurate, reliable and easily understood component replacement recommendation scheme is provided for a user, the user is helped to quickly find a proper component, and the electronic design efficiency is improved.

The invention provides an earth-moon space double-star link establishment planning system and method, relates to the technical field of satellite task planning, and can be used for establishing a multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target multi-target The calculation process is visually deduced through layer-by-layer association, dimension perspective and multi-time-sequence link table layer-by-layer association, process and result query and analysis are facilitated, the method is suitable for various link application scenes from the angle of benefit maximization of application links, and optimal and alternative link time sequence schemes are provided for reasonable application of links by related personnel.

The invention discloses a pilot plan report trend deconstruction method and device, and the method comprises the steps: building data used during trend deconstruction, standardizing the trend format, intercepting and recognizing the trend, deconstructing the trend, and matching a data source to which the trend belongs, thereby being capable of deconstructing the trends of domestic flights and international flights in combination with airspace resource information, and improving the navigation plan report trend deconstruction efficiency. The method comprises the following steps of: acquiring a point route character description, a point string and route section information which can be quickly identified, and matching a data source to which the point route character description, the point string and the route section information belong, so that multi-source data query and statistics are facilitated, data support is provided for quantizing and objectively evaluating the utilization rate of airspace resources, the flight quantity is increased, and the potential of an airspace environment is mined.

The invention discloses a gas station optical storage, charging and switching level supervision system, and belongs to the field of gas station optical storage, charging and switching level supervision. The problems that in an existing optical storage, charging and switching station, all devices are mutually independent, data are not shared, integrated management or data analysis cannot be carried out, and energy-saving benefits cannot be visually inquired are solved. The gas station light storage, charging and switching station comprises photovoltaic equipment, energy storage equipment, photovoltaic residual electricity networking equipment, electric equipment and operational equipment. And the operating equipment comprises charging equipment and battery replacement equipment. The system is suitable for managing the light storage, charging and station switching of the gas station.

The invention discloses an intelligent building engineering management system based on a BIM platform, and relates to the technical field of building engineering management, and the system comprises a BIM model database, a participant interface module, a real-time synchronization module, an automatic notification module, an authority management module and a block chain recording module. According to the intelligent building engineering management system based on the BIM platform, computing resources and storage capacity are flexibly adjusted according to project requirements, and the requirements of projects of different scales are met; the block chain recording module supports a multi-chain synchronization function, and different participants can record on independent chains; therefore, the security of the data is ensured, the expandability of the building engineering management system is improved, and the individual requirements of different participants are met; the automatic notification module adopts a plurality of channel notification modes, and supports a user-defined reminding mode and priority setting of a participant; therefore, information transmission is more flexible and diversified, and working habits and requirements of different participants are met.

The invention discloses a performance monitoring method, device and equipment of a photovoltaic power station and a storage medium, and relates to the technical field of solar energy industry, and the method comprises the steps: automatically obtaining the electrical data of each electrical device at a certain time interval, and carrying out the collection and unified management of all electrical data, thereby forming a traceable database; according to the photovoltaic power station electrical data management system and method based on the linear regression analysis, direct access of various subsequent analysis software and analysis algorithms through a data interface is facilitated, and subsequent access operations such as query and traceability are also facilitated, so that electrical data of a photovoltaic power station are comprehensively and effectively managed; the performance of each electrical device of the photovoltaic power station can be known through the linear regression model obtained through solving, and finally, the performance of the device can be known to be abnormal by screening out future generating capacity abnormal data through query operation. Advanced monitoring of electrical equipment of a photovoltaic power station is realized.

A transparent visual power grid operation and maintenance system comprises a data acquisition and preprocessing module which is composed of a sensor network and SCADA system docking unit and a data preprocessing unit; the data processing and analysis module is composed of a fault prediction and diagnosis unit, an operation and maintenance strategy optimization unit and a three-dimensional modeling and dynamic simulation unit; the visual display and user interaction module is composed of an AR / VR interface development unit and a user-defined interface and report generation unit; and the system integration and communication module is composed of a standardized API interface and cloud platform unit and a remote access and cooperation unit, and the scheme of the invention solves the problem that the complexity of power grid operation and maintenance system data causes that detection information is difficult to provide visually, thereby affecting the operation and maintenance work quality and efficiency.

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