98results about How to "Convenient query" patented technology

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 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 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 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 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 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.

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.

The invention discloses a digital twinning long-span bridge earthquake wind vibration and vibration reduction and isolation system and method, the system takes a high-fidelity digital model for constructing a long-span bridge as a basis, comprises full life cycle monitoring and management of the bridge under earthquake, wind vibration and vibration reduction and isolation conditions, and is based on a sky-air-ground-water integrated ubiquitous sensing module. In combination with artificial intelligence algorithms such as deep learning and a pulse neural network, real-time state evaluation of a bridge structure, material nonlinear analysis, geometric nonlinear analysis, multi-point excitation and pile-soil-structure interaction simulation, wind-induced fatigue damage prediction, earthquake vulnerability evaluation and closed-loop control scientific decision based on an artificial intelligence body are realized. According to the invention, system support and method guidance can be provided for large-span bridge anti-seismic and anti-wind design, intelligent monitoring, operation and maintenance management and vibration reduction and isolation system optimization.

The invention discloses a logistics block chain data storage method and system. The method comprises the following steps: (1) data collection; (2) data encryption; (3) block construction; (4) a consensus mechanism; (5) data storage; and (6) data access and query. According to the method, a data index and retrieval mechanism and a query algorithm and logic are optimized, and an efficient query interface is provided, so that the data access efficiency and speed can be remarkably improved. According to the technical scheme, a user can obtain needed data more quickly, the response speed and efficiency of the whole service process are improved, measures such as data encryption, access control and identity verification are enhanced, and the safety of the data in the storage, transmission and access processes can be ensured; therefore, data leakage, tampering and unauthorized access can be prevented, benefits of enterprises and users are protected, occupation of storage space can be reduced through technical means of data compression, duplicate removal, redundancy elimination and the like, and storage cost is reduced.

The invention discloses an environment abnormity alarm method, device and equipment and a storage medium, and relates to the technical field of cloud computing, and the environment abnormity alarm method comprises the steps: building an operation and maintenance knowledge graph for a system environment based on a system configuration management database; generating an abnormal node in the operation and maintenance knowledge graph based on an anomaly detection result of the system environment, associating the abnormal node with an anomaly occurrence node, and updating the operation and maintenance knowledge graph; and traversing the updated operation and maintenance knowledge graph to obtain path information of the abnormal node in the operation and maintenance knowledge graph, and carrying out abnormity alarm according to the path information. Through the above technical scheme, aggregation query of abnormal information according to various node dimensions is realized, and information overload and alarm fatigue caused by frequent alarm are avoided.

The invention relates to the field of precision measurement and calibration, and discloses a control method for reference voltage divider calibration, which comprises the following steps: carrying out environment calibration on a current calibration environment based on correction data in a historical correction database, carrying out pre-detection on a to-be-referenced voltage divider to obtain pre-detection characteristics, and carrying out pre-detection on the to-be-referenced voltage divider according to the historical correction data. The reference voltage divider is subjected to thermal stabilization according to the current calibration environment, the reference voltage divider is calibrated after thermal stabilization is completed, the calibration module is controlled to calibrate the reference voltage divider according to data output by the reference voltage divider in the calibration process, and the reference voltage divider is calibrated after calibration is completed. Obtaining the output uncertainty of the calibrated reference voltage divider; and if the output uncertainty of the calibrated reference voltage divider is not greater than the standard output uncertainty of the reference voltage divider, the reference voltage divider is stable, and the calibration of the reference voltage divider is completed. According to the invention, through the automatic and intelligent calibration process, the calibration precision and efficiency are significantly improved.

The invention provides a steel mill production data management method and system, and relates to the technical field of data management. The system comprises a data receiving module, a data preprocessing module, a data analysis module, a data storage module, a data transmission management module and a model training module. According to the method, possible problems and trends in the production process are predicted, so that a decision maker can make a more accurate decision based on a data analysis result, guarantee is provided for the safety and integrity of data, the requirements of steel mill production management and decision are met, the transmission requirements of steel mill production data in different scenes are met, and the production efficiency is improved. And the reliability of data transmission is improved.

The invention discloses a decision-making system and method based on a Dores database, and the system comprises a data access layer which is used for accessing multi-source heterogeneous financial data in real time, a Dores storage calculation layer, and achieves the data storage, column-type bucket separation and materialized view pre-calculation based on the Dores database; the visual application layer is used for providing bidirectional interactive financial data visualization and decision support; wherein the data access layer acquires data in real time through a streaming computing engine and transmits the data to the Dores storage computing layer, and the visual application layer performs real-time data interaction with the Dores storage computing layer through a two-way communication protocol. According to the method, the synchronous delay of financial data is shortened from 6 hours to 1 second, second-level real-time integration is realized, the aggregation query response time of billion-level data is reduced to be within 1 second based on a Dores column type storage and materialized view technology, the user interaction response delay is lower than 500 milliseconds through WebSocket two-way communication, and real-time adjustment of parameters and dynamic refreshing of a billboard are supported.

The invention belongs to the technical field of internet big data, and particularly relates to a method for screening same-name and same-party drug control drugs, which comprises the following steps: S1, acquiring basic information of listed drugs, performing data processing and standardization processing, and storing the basic information into a database A; s2, acquiring and processing admission-related data of drugs, and storing the data into a database B; s3, taking medicine names as keywords, and respectively matching basic data and access related data of each medicine from the database A and the database B; establishing a medicine entry of each medicine in the database C, and integrating the matched basic information of the medicine and the admission related data into the corresponding medicine entry; s4, according to research and development requirements of the same-name and same-prescription medicines, establishing screening conditions of the same-name and same-prescription control medicines; screening the data in the database C according to the screening conditions to obtain the same-name and same-prescription control drug data meeting the use requirements; the method can be used for rapidly and accurately screening out the same-name and same-prescription control drugs meeting various conditions.

The application relates to the technical field of circuit breaker detection, and specifically discloses a circuit breaker action characteristic detection system based on artificial intelligence, which comprises a data acquisition layer, a data preprocessing layer, a data analysis layer, a decision warning layer and a system management layer; the data acquisition layer is responsible for collecting the action characteristic parameters of the circuit breaker. Through filtering, normalization and feature extraction, the data quality and availability are improved, laying a foundation for subsequent analysis; the data analysis layer uses comprehensive calculation and analysis to evaluate multidimensional parameters in mechanical action, obtains a mechanical action state evaluation coefficient, and accurately grasps the operation state of the circuit breaker; the decision warning layer accurately determines the operation state and timely warns according to the evaluation result and a threshold value, helping operation and maintenance personnel to quickly respond; and the system management layer is used for dynamically optimizing a feedback determination threshold value, so that the overall scheme effectively improves the accuracy, reliability and intelligent level of circuit breaker detection, reduces fault risks, and guarantees the safe and stable operation of a power system.

The invention provides a campus personnel access management system, which is characterized by comprising an intelligent access control module, a time recording and analyzing module, a display module, a display module and a display module, wherein the intelligent access control module is used for installing intelligent access control equipment at the entrance of a dormitory, and the time recording and analyzing module adopts various recognition modes such as face recognition and campus card recognition; comprising date, specific time point and other information; the data management and processing module is used for carrying out unified management on access records of the students, and managers can inquire information such as access history and the number of times that the students do not go to the boarding at night of the specific students through a system interface; the early warning module is used for automatically sending an early warning notification to a dormitory administrator, a tutor and other related personnel when the system detects that the student does not go to the dormitory at night or goes back at night; and the mobile terminal application module develops a mobile phone application program, so that the students can check own access records through mobile phones, and managers such as dormitory administrators and counselers can also inquire the access conditions of the students anytime and anywhere through the mobile terminal, and deal with abnormal conditions in time.

The invention discloses a data query method and a related device, which can be used in the field of big data, and the method comprises the following steps: firstly, obtaining a query condition pool selected by a user; then, the query condition pool is assembled to a statistical machine account SQL statement, and a query statement is generated; the query condition pool comprises selectable data items and selectable matching conditions; then, in response to a target query condition selected by a user from the query condition pool, generating a query condition group; and finally, based on the query condition group and a first matching field input by the user, obtaining a first query result through the query statement. The matching field is a field included in the data item. Therefore, a user can flexibly select the target data item and the target matching condition according to the query requirement and provide the first matching field, so that the personalized query requirement is realized, the data query efficiency is improved, and the user can conveniently, quickly and accurately query to obtain the required query result.

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

The application discloses a log analysis method, device and equipment and a readable storage medium. The method comprises the following steps: collecting logs; extracting feature words from each log to obtain feature words in each log; corresponding feature words in each log form a feature word set of each log; according to the feature word set of each log and a seed set containing multiple seeds, determining a corresponding seed of each log, and classifying each log into a class where the corresponding seed of each log is located. The technical scheme disclosed by the application extracts feature words from logs to extract key information from the logs, classifies the collected logs according to the feature word set of each log, obtains key information and important information such as the category of the logs from the collected logs, so that the operation and maintenance personnel can query and use the logs faster and better, and the result obtained by analyzing the logs can also be used as a corpus for machine learning related to automatic operation and maintenance.

The invention relates to the technical field of computational lithography, in particular to a job visualization management platform and a job execution method. A job scheduling module, a template management module and a job management module of the platform can be displayed on a display module; the template management module comprises a classification unit, and the classification unit is used for creating a job template; the operation management module comprises an operation generation unit and an operation monitoring unit, and the operation generation unit is used for receiving external operation data and importing the operation data into a corresponding operation template to generate one or more corresponding operations; the job scheduling module is used for receiving and executing jobs; the operation monitoring unit is used for monitoring the operation state of the operation on the operation scheduling module. Through visual display of the display module and classified management and operation monitoring of the operation, a user can efficiently manage the calculation photoetching operation and calculation resources, the overall efficiency of the calculation photoetching operation is improved, and a visual calculation photoetching operation visual management platform which is visual, easy to understand and excellent in experience feeling is provided for the user.

The utility model discloses a two-dimensional code anti-counterfeiting mark with grating analysis verification, which comprises a base material layer, a grating layer, a two-dimensional code layer and a protective layer, a grating structure is embedded in a two-dimensional code area, and a specific analysis sheet is matched, so that the two-dimensional code can be scanned, and grating information can be verified, thereby effectively preventing counterfeiting and improving the anti-counterfeiting level. The anti-fake label has the advantages of being high in anti-fake performance, easy to identify, good in compatibility, good in concealment and the like, and has wide market application prospects.

The present invention provides a business support and control platform based on Web framework technology, including the following parts: access layer, rule management layer, service layer, support and guarantee layer and operation and control layer. It can access the original system to obtain data, set multiple rules, automatically determine the business process according to the rules, and display it according to user operations to maximize the use of data. The support and guarantee layer includes a business collection component, a data verification component, a demand analysis component, a process design component, a business association component, a data storage component and a timed update component. The operation and control layer constructs an operation plan and performs relevant configurations based on the data processing results of the support and guarantee layer, proposes operation specifications, and displays the business process to the user. The operation and control layer includes a business data intelligent search component, a process configuration component, a business process control component and a business process display component.

The invention relates to the field of hearing aids, in particular to a hearing aid noise anti-howling method, which comprises the following steps of: firstly, starting a self-fitting function of a hearing aid, outputting a digital signal inside the hearing aid, converting the digital signal into an electric signal through a digital-to-analog converter, outputting the electric signal through a loudspeaker, and enabling the loudspeaker to output sound for detection, the detected sound is received by the microphone after being emitted, a digital signal is output from the hearing aid, the digital signal is converted into an electric signal through the digital-to-analog converter, and then the electric signal is output through the loudspeaker, so that the loudspeaker outputs the sound for detection, and the detected sound is received by the microphone after being emitted. The microphone inputs the received sound into the digital-to-analog converter to be converted into a digital signal, the digital signal is input into the detection chip to be detected, and the detection chip is used for detecting the difference between the digital signal and the digital signal, so that whether the loudspeaker of the hearing aid can make a sound correctly or not can be detected.

The invention provides a blast furnace condition diagnosis method based on a multi-time granularity dynamic reasoning mechanism, which comprises the following steps: S1, setting a plurality of time granularities, and establishing a furnace condition diagnosis rule base according to a preset rule; s2, collecting data in real time, storing the data in a dynamic database, extracting the data of the dynamic database every first time granularity, performing furnace condition diagnosis of the first time granularity according to rules of a furnace condition diagnosis rule base, and storing a diagnosis result in a process database; s3, calling data of the process database and the dynamic database every Nth time granularity, performing furnace condition diagnosis of the Nth time granularity according to rules of the furnace condition diagnosis rule base, and storing a diagnosis result in the process database; and S4, calling diagnosis results of different time granularities. According to the blast furnace condition diagnosis method with multiple time granularities, a dynamic reasoning mechanism can reduce a large amount of database read-write burden, and the calculation performance of a furnace condition diagnosis model is improved.

The invention provides a loan interest bearing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining at least one piece of interest bearing detail information of a target loan in response to an interest settlement request or a repayment request of the target loan, the interest bearing detail information comprising an interest bearing principal, an interest bearing rate, a starting date, an ending date, interest to be considered and a state, the states comprise a normal state, an interest settlement state, a to-be-settled state and a settlement state; the interest bearing detail information is updated according to the interest bearing frequency; and based on one or more of the state, the interest bearing principal, the interest bearing and the interest bearing rate in the at least one piece of interest bearing detail information of the target loan, performing interest bearing processing in the interest settlement processing process of the target loan or interest bearing processing in the repayment processing process of the target loan. A detailed interest-bearing model is provided, detailed interest-bearing of loans is realized, and the problem that interest-bearing principal splitting cannot be carried out in a balance interest-bearing mode in related technologies is solved.

The embodiment of the present application discloses a precise resource configuration method, which is applied to a client, including: obtaining a first resource file of a first version and a second resource file of a second version of a target application; the first and second resource files include at least one of resource files such as a blueprint file, a configuration table, and a texture / material file; calling a preset precise resource configuration plug-in to parse the resource file to obtain a first and a second parsed file, the first and the second parsed file being of the same type of comparable text format; comparing the first and the second parsed files to obtain a precise result of the resource file configuration of the target application. Based on the fact that the prior art is unable to compare blueprint files, configuration table files, and texture / material files, the present application provides a precise resource configuration plug-in, which can be used to parse and compare resource files of different versions, and obtain precise resource file configuration results of the differences in resource files of different versions, which is convenient for users to query.

The application provides an operator knowledge transfer database establishment method and device and electronic equipment, applied to the field of artificial intelligence technology, using the powerful code understanding ability of the large language model, combining the general operator library source code and the specialized operator library source code of the completed chip, analyzing the core logic and code difference of each pair of operators to be analyzed, which can represent the differences existing in the source code of the same operator pair from the core logic and code difference, thereby further using the large language model to obtain knowledge points representing operator knowledge transfer, and structurally processing the knowledge points to obtain an operator knowledge transfer database convenient for querying. The operator knowledge transfer database can be automatically generated, and compared with the manual analysis in the prior art, the automation degree and construction efficiency of the operator knowledge transfer database construction are significantly improved.

The invention relates to a land division optimization method and system for a network platform, a terminal and a storage medium, and relates to the technical field of big data, and the method comprises the steps: carrying out the statistics of land information of a target block in response to the input operation of query information; according to the land information and the query information of the target block, extracting a division basis of the target block; performing feature extraction operation on the land information to obtain land features; according to the division basis, performing weighting operation on the land features to obtain input features; in response to the parameter input operation, obtaining model parameters of the division optimization model; calling a division optimization model, and optimizing the division range of the target block according to the input features to obtain a division optimization result of the target block; and performing visualization processing on the division optimization result to obtain a land division chart, and displaying the land division chart. The method and the device have the effects of improving the land division quality and providing convenient land division result query.

The application relates to the technical field of building construction formwork monitoring, in particular to a high-formwork displacement monitoring system and a monitoring method, which comprise a collection controller, a laser emitter and a CCD sensor connected with the collection controller; a positioning sheet is installed on a monitored point; the laser emitter emits laser to the monitored point; light is projected to the positioning sheet to form a light spot; the light spot is projected to the CCD sensor; the CCD sensor transmits a signal to the collection controller and then transmits the signal to a main server of a smart construction site management platform through a total station communication module; the main server is connected with a database, a display large screen and an alarm module; the application adopts a laser triangulation imaging principle, laser emitting angles can be adjusted by construction personnel, the problem that a CCD device is not convenient to install and debug due to a small light receiving area is solved, laser lines emitted by the laser emitter are formed into light spots through the positioning sheet, and then the light spots are projected to the CCD sensor, so that the service life of the CCD sensor is prolonged.