106 results about "Library management" patented technology

The invention discloses a dynamic library management method and system based on artificial intelligence, and relates to the technical field of library management, and the method comprises the following five steps: firstly, constructing a reader portrait through collecting basic information, borrowing history and other data of a reader by using TF-IDF analysis and a machine learning algorithm; secondly, a positioning tag and a sensor are deployed to be combined with a book RFID tag, a path is optimized according to reader behavior data, and the book retrieval efficiency is improved; monitoring and analyzing borrowing behavior data and reader portraits, establishing a borrowing risk assessment model, assessing risks by adopting a logistic regression algorithm, providing decision suggestions for workers, quantitatively adjusting the borrowing quantity, and reducing the risk of overdue or damaged books; through application of the artificial intelligence technology, automation, intellectualization and individuation of library management are realized, the management efficiency and the service quality are remarkably improved, and the operation effect of the library is enhanced.

The invention belongs to the technical field of project management, and particularly relates to a scientific research project full-process management platform. Comprising a scientific research project management cockpit module, a scientific research project library management module, a scientific research project execution management module, a scientific research project document management module, a scientific research project budget management module, an intellectual property library management module, a scientific and technological achievement library management module, a scientific research project report management module and a scientific research project billboard module. The beneficial effects of the invention are that the system achieves the higher refined management requirements of scientific and technological innovation through an informatization means, and solves the problems of project dispersion, repeated research and development, and project and talent cultivation. And the obvious defects of thin base, late starting and insufficient professional degree in scientific and technological innovation management of production enterprises and research and development institutions for energy power generation are overcome.

The invention discloses an information security management and monitoring system based on big data, and relates to the technical field of information processing, the system is mainly embodied in efficient desensitization processing of sensitive data, a big data acquisition module automatically acquires and uniformly converts a plurality of data sources into editable first texts, and the editable first texts are stored in a storage module; and related sensitive features of the first text are extracted to construct the text sensitivity index MGbh, so that a solid data support is provided for a subsequent desensitization strategy, and the manual intervention cost is reduced. And the data desensitization module generates corresponding desensitization strategies according to different security levels, so that automatic processing is realized, manual auditing is reduced, the desensitization efficiency is improved, and legal and economic risks caused by data leakage are reduced. And the sub-library management module divides the desensitized data set into a plurality of word libraries and distributedly stores the word libraries on different physical nodes, so that the risk of a single library is reduced, the use of storage resources is optimized, and the elasticity and expandability of the system are enhanced.

The invention discloses an industrial design component library management and automatic matching method and system, and relates to the technical field of XXX industrial design, and the method comprises the following steps: obtaining the dimension attribute of a component, and carrying out the fusion modeling of the dimension attribute of the component; obtaining design requirements, extracting keywords according to the design requirements, matching the keywords with semantic tags in the component library, and obtaining semantic similarity based on a cosine similarity algorithm; constructing a matching model according to the semantic similarity in combination with the dimension attributes of the components, and comprehensively evaluating the dimension attributes of the components by using a weighted multi-dimensional data fusion technology to obtain matching degree scores of the components and the design requirements; and comparing the matching degree score with a preset matching threshold value, evaluating an automatic matching effect according to a comparison result, and dynamically updating the attribute weight of the component according to the automatic matching effect. According to the method, the problem of separation of semantic understanding and attribute matching is solved, rapid matching of components and design requirements is realized, the design period is remarkably shortened, and the design efficiency is improved.

The invention relates to the technical field of unmanned aerial vehicle library management, in particular to an intelligent unmanned aerial vehicle library management method and system based on face recognition, and the method comprises the steps: inputting a biological feature and an identity certificate file of a user during registration of the user, and generating an initial authority template according to the attribute of the user; when the user gets close to the hangar, living body detection is carried out through the 3D structured light camera, and face features are extracted for feature comparison after the living body detection is passed, so that the identity of the user is recognized; then, according to the user identity and the current task scene, adjusting an initial permission template of the user, and generating a dynamic permission; and recording an authority operation log, analyzing the abnormal behavior of the user, and generating a report. The safety, the response efficiency and the resource utilization rate of the unmanned aerial vehicle garage are improved, and the high-reliability requirement in a multi-field complex scene is met.

The invention provides an enterprise employee training and development management system based on an online cloud platform. The enterprise employee training and development management system comprises a user management module used for obtaining user information of employee users; the curriculum library management module is used for establishing a curriculum library to store different classes of training curriculums and managing the stored training curriculums; the course recommendation module is used for calculating a recommendation degree factor of each course in a course library to the employee user in real time according to the user information of the employee user, and generating training course recommendation information for the employee user; and the learning evaluation module is used for evaluating the training effect of the employee user for the training course in the process that the employee user completes the training course, and updating the user information according to the training effect evaluation information. According to the invention, on the basis of a proposed training effect feedback mechanism, the recommended course is adjusted in real time, and the personalized adaptation effect and the intelligent level of employee training are helped to be improved.

The invention provides a library management system based on big data, and relates to the technical field of library management, and the system comprises a data collection and preprocessing module which is used for obtaining multi-dimensional information, and the multi-dimensional information comprises library collection data, user borrowing behavior data and book resource data; and the data acquisition and preprocessing module performs standardization processing on the multi-dimensional information to generate a structured data set. According to the library management system based on the big data, accurate prediction and efficient management of library resources are realized. The system obtains multi-dimensional information through a data acquisition and preprocessing module, and adopts a cross-modal deep fusion technology of deep learning to fuse text features, user behavior features and book resource features to generate unified high-dimensional semantic representation. Through the method, the borrowing peak time, the hot book type and the resource access fluctuation can be accurately predicted, so that the accuracy and the service efficiency of library resource configuration are effectively improved.

The invention provides a distributed mirror image library management method, which belongs to the technical field of distributed storage, and comprises the following steps of: counting the number of times that a mirror image file is requested, identifying a hotspot mirror image and a non-hotspot mirror image, respectively determining a corresponding cache space and a cache strategy from a mirror image-configuration table, obtaining a cache result, and creating a mirror image library framework. The method comprises the following steps of: setting a fragmentation strategy about initial resources of a mirror image library, constructing the mirror image library, setting an access strategy according to a user access log, performing mode division on the access strategy to obtain an access mode set, further determining an access rule, optimizing an access path of the mirror image library based on the access rule, and determining a fault-tolerant strategy of the mirror image library based on an optimization result. A fault processing mechanism is set, fault management is carried out on the mirror image library, caching, storage and access strategies and a fault-tolerant mechanism are systematically integrated, the performance, availability and expandability of the distributed mirror image library are effectively improved, and the requirements of large-scale data storage and access are better met.

The invention relates to a simulation modeling system based on a UVM. The system comprises a component library management module, an incentive library management module, a top layer generation module, a graphical modeling module, a script generation module, a coverage rate statistics module and a server calling module, wherein the component library management module is used for managing a UVM component model; the incentive library management module is used for managing the incentive model; the top layer generation module is used for generating a corresponding top layer module according to the top layer file; the graphical modeling module is used for modeling according to the UVM component model; the coverage rate counting module is used for counting coverage rate data in the verification test process; the script generation module is used for generating various modeling files; and the server calling module is used for completing simulation of the modeling file. Therefore, the UVM can be directly used to realize random generation of test vectors, automatic comparison of test results and automatic statistics of code coverage rate and function coverage rate, and the FPGA test coverage rate and quality are greatly improved.

The invention discloses a method, device and equipment for improving knowledge base query result precision and a storage medium, and the method comprises the steps: dividing a knowledge base into a plurality of sub-libraries, and generating semantic description information for each sub-library; converting the semantic description information into sub-library vectors by utilizing a preset embedding model; receiving a user query problem, and converting the user query problem into a user problem vector by using the embedded model; calculating a similarity score between the user question vector and each sub-library vector, and determining a query weight corresponding to each sub-library; distributing a corresponding document return quantity for each sub-library, and retrieving a plurality of first documents with the highest relevancy with the user query problem from each sub-library; and carrying out fusion processing on the documents retrieved from the sub-libraries to generate a final query result and returning the final query result. According to the method, the knowledge base is divided into a plurality of independent sub-libraries for vectorization through sub-library management, so that the calculation burden during each query is reduced, and the user query can be processed more quickly.

The invention relates to the technical field of server manufacturing, and discloses a server manufacturability intelligent evaluation MES system based on machine learning, and the system comprises a data collection module which is used for obtaining, classifying and marking the operation time data of each process in real time; the standard library management module is used for storing a standard library and supporting data management; the man-hour comparison module is used for calling standard man-hours and comparing the standard man-hours with real-time data; the problem processing module triggers a feedback process and generates a standardized problem description; the evaluation scoring module is used for quantitatively scoring the manufacturability of the model machine based on a standard; and the standard updating module updates a design standard through a machine learning model. According to the system, intelligent evaluation of the manufacturability of the server is realized, the data acquisition accuracy, the standard library dynamic updating capability, the problem processing normalization and the evaluation scoring objectivity are improved, and the manufacturing efficiency and the manufacturability level of the server are improved.

The invention discloses an RFID scanning device for book management, and relates to the field of RFID scanning devices.The RFID scanning device comprises an RFID scanning mechanism, the RFID scanning mechanism is installed at the end of a book borrowing table, the bottom of the book borrowing table is covered with a supporting table, a rotating shaft is movably installed in the middle of the supporting table through a bearing, and the book borrowing table is fixedly installed at the top of the rotating shaft; a driving gear is fixedly installed at the end, away from the book borrowing table, of the rotating shaft, a book placing positioning ring groove is formed in the surface of the book borrowing table, a limiting ring is fixedly arranged on the outer side of the book placing positioning ring groove, and a clamping seat is clamped and fixed to the limiting ring; four sets of supporting columns are evenly installed at the bottom of the supporting table, a rack is installed at the bottom of the supporting table in a threaded connection mode, and a driving motor is installed on the rack in a threaded connection mode. According to the RFID scanning device for book management, the tedious operation of a reader in the book borrowing process is reduced, and the convenience and smoothness of book borrowing are improved; the reader can quickly complete the book borrowing process and leave the library, which is very important for the reader who is precious in time.

According to the method, staying frequencies of people in various bookshelf ranges are counted, a corresponding first calculation coefficient is obtained, and a second calculation coefficient is determined by calculating an absolute value of a popularity value difference value between a current to-be-homed book and a reference book of a placement layer to which the current to-be-homed book belongs. And calculating a homing distance of the book according to a preset reference distance, the first calculation coefficient and the second calculation coefficient, and determining a homing area of the book according to the homing distance. The situation that the current to-be-homed book is close to the book with the high popularity value in the placement layer to which the current to-be-homed book belongs can be avoided. In this way, the situation that when a person stays in front of a book with a high popularity value, other people cannot easily browse other books in a shielding area of the staying person can be avoided to a certain extent. According to the invention, the book borrowing experience of the reader can be improved to a certain extent.

The application discloses a library high-density book management system and a management method thereof, and belongs to the field of library management. The library high-density book management system comprises a multi-mode SAW sensing label, a reader-writer head terminal, and a regional controller. The reader-writer head terminal is arranged at the top center of each bookshelf unit at an interval of 3-5 meters. The reader-writer head terminal is composed of a small linear array of 4-8 microstrip patch antennas, generates high-frequency pulses, and receives reflected signals, and is used for accurately measuring echo arrival time and phase. The regional controller is arranged in each reading room or area, and is responsible for managing all reader-writer head terminals in the area. The regional controller is a controller with a built-in FPGA, and realizes real-time beam control and signal processing. The application realizes passive sensing of the physical state of books, and realizes high-precision positioning through a beam arrival time difference.

The invention belongs to the technical field of sample library management, and particularly relates to a sample library management-based operation system which comprises a management layer unit, a sample data processing unit, a retrieval unit, a safety protection unit, an interface unit and a data sharing unit. Meanwhile, data security and privacy protection are guaranteed, data sharing and cooperative work between different teams and organizations are promoted, knowledge discovery and innovation are accelerated, data standardization and consistency are guaranteed at the same time, in many fields, sample data come from different devices, laboratories, organizations or systems, data formats and standards may be different, and the data format and the data standard may be different. And the standardized sample library management system can unify the data format, the data structure and the storage mode, so that the consistency and compatibility of the data are improved.

The present application relates to a location fingerprint library management method, computer equipment, storage medium and program product. When it is determined that a reference device and a digital key associated with a vehicle are carried by the same object, the signal strength characteristic data of the digital key at each sampling point in the sampling area is obtained; and the target location information of each sampling point is determined based on the signal information of the first positioning signal transmitted by the reference device at each sampling point received by the first signal receiver on the vehicle, and the signal information of the second positioning signal transmitted by the reference device at each sampling point received by the second signal receiver on the vehicle; the location fingerprint library of the digital key is managed based on the signal strength characteristic data and target location information of each sampling point. On the one hand, the determined target location information is made more accurate, thereby making the vehicle positioning more accurate; on the other hand, the vehicle control based on the digital key no longer depends on the positioning accuracy of the digital key, thereby improving the accuracy of vehicle control.

The embodiment of the invention provides a library book information query method and related equipment, and belongs to the technical field of book management. According to the method, bookshelf images extracted after one or more bookshelves of a library are shot by reader equipment are obtained, to-be-queried book information input by the reader equipment is obtained, and the to-be-queried book information is used for representing to-be-queried books; acquiring book information in the bookshelf by identifying a book two-dimensional code in the bookshelf image; based on the to-be-queried book information, matching with the book information, and determining the position information of the to-be-queried book in the bookshelf image; and feeding back the position information to the reader equipment. According to the technical scheme, after the user shoots the bookshelf image through the equipment and inputs the to-be-queried book, the position information of the book in the bookshelf can be fed back to the user and marked by identifying the book two-dimensional code in the bookshelf image, the user can quickly search the book according to the fed-back position information, and time waste is reduced.

The invention discloses an intelligent library management method and platform based on the Internet, and relates to the technical field of the Internet. A trend semantic vector Trd is constructed through a structured hot word set Kws, a book semantic vector set BVecSet is generated based on a book text field set BTxt, a semantic similarity value Sim is calculated, and a library semantic vector set BVecSet is generated based on a library text field set BTxt; and automatic semantic matching of the book content and the Internet hotspot is realized. According to the method, a social propagation intensity value Soc and a borrowing trend change value Dyn are combined, a comprehensive popularity prediction function Hot is constructed, a book popularity set HotSet is formed, a recommended book set Rec is screened out by comparing the book popularity set HotSet with a recommendation threshold value Thr, and compared with lagging response depending on historical borrowing data, external user behavior feedback is introduced through the social propagation intensity value Soc, so that the book popularity prediction function HotSet is obtained. And a multi-factor recommendation mechanism is enhanced in combination with a comprehensive popularity prediction function Hot, so that the accuracy and foresight of book recommendation are improved, and active response to external hotspots is realized.

1. Name of the product of this design: Library self-service book return machine (dual-frequency). 2. Purpose of this design product: used for returning books in library management. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

This invention relates to the field of industrial automation control and communication systems, and provides a PLC library management method based on cloud function-driven architecture. The method includes defining PLC control logic as library module source files, parsing and function-converting them into cloud functions and uploading them to a cloud function library; dragging the target cloud function into the business process or logic diagram, automatically identifying the corresponding function ID and generating a queue of function execution requests to be called; receiving call requests from the queue, determining whether there are existing cloud function instances available for scheduling; if no available instances are found, dynamically instantiating the target cloud function and performing function calculations based on an event queue mechanism; and filtering out a set of functions to be deployed to edge devices based on the calculation results and distributing them to the edge cloud devices. By combining the PLC library management module with cloud function-driven architecture, the basic unit of PLC cloud computing is reduced to a function, providing finer granularity, allowing users to directly deploy function code, and automatically completing tasks such as data redundancy, load balancing, regional redundancy, and log recording.

This invention relates to the field of intelligent library management technology and discloses a smart library intelligent management system, including a terminal server, an access control module, a reading module, a return module, and an intelligent guidance module. The terminal server is linearly connected to the access control module, the reading module, the return module, and the intelligent guidance module. In operation, the cooperation between the reading module and the return module enables the return of books outside of designated times while ensuring that books can be borrowed outside of designated times, avoiding waste of library resources, improving the utilization rate of library equipment, eliminating limitations in library book borrowing, and benefiting readers.

The invention provides an intelligent construction system for a mineral deposit model spatial data sample library, and the system comprises a mineral deposit model sample library management module which is used for constructing a source spatial database, issuing a task to a sample library construction workbench module, monitoring the issued task, and carrying out the reprocessing of a delivery task of the sample library construction workbench module, constructing an ore deposit model sample library; the sample library construction workbench module is used for processing the published task and delivering the completed task to the ore deposit model sample library management module; and the prospecting forceful area delineation module is used for obtaining and processing data in the ore deposit model sample library, delineating a prospecting favorable area and performing task guidance on the sample library construction workbench module. By performing standardized processing, structured storage and intelligent management on multi-dimensional geoscience data of a typical ore deposit, a standardized sample set which can be used for machine learning, deep learning or expert system training is formed, and data support is provided for delineating a favorable prospecting area of an unknown area.

The invention relates to the technical field of artificial intelligence, and provides an electronic component library management method based on AI, which can carry out continuous mask language model training on a BERT layer in BERT-BiLSTM-CRF, reduces the difficulty of subsequent training while enhancing the adaptability of domain data, and improves the context semantic understanding ability at the same time. Multi-granularity feature fusion is performed based on a multi-granularity priori knowledge fusion attention mechanism, so that the model is more comprehensive and focuses on key features, and the accuracy of the model is improved; the electronic component entity extraction model is used for performing entity extraction on a target material description text, so that the dependence on a fixed separator and a hard coding rule is eliminated, the material description text in any format can be processed, and the adaptability problem of component description fragmentation and term density is solved; and the library field increment is updated to the electronic component library, so that automatic and efficient management of the electronic component library is realized.

The invention relates to the technical field of electric power material management, and particularly discloses a power grid digital balance benefit library management method and system and a storage medium. The method comprises the following steps: constructing a full-quantity material digital resource pool, integrating a central library, a professional warehouse and in-transit / reserved material data, and carrying out standardization and structuring processing; based on a multi-level rule engine and an intelligent recommendation algorithm, in combination with supply chain simulation, a library benefiting strategy is automatically generated and optimized; embedding a strategy into a business process, and realizing closed-loop management from demand triggering, approval to allocation execution by using a process automation engine; and meanwhile, through the lifelong unique identification code of the material, the full-life-cycle traceability is realized, so that the inventory transparency, the cooperation efficiency and the resource utilization level are improved.

The invention relates to the technical field of library management, in particular to a library intelligent socket combined control intelligent management system, which comprises an upper computer and a lower computer, and the upper computer and the lower computer are in data intercommunication. The upper computer is used for overall planning of library power utilization area division, equipment identification, jack management and control, reservation linkage and time period power supply management. And the lower computer is used for collecting power utilization parameters, jack power supply control, data transmission, safety protection and reader operation response of each jack of the intelligent socket. In the scheme, the system carries multiple sensing units to synchronously acquire parameters, after filtering processing, equipment types are classified and identified by combining an algorithm model trained by historical operation data, an equipment type exclusive jack subset is constructed based on an identification result, a charging completion power-off threshold value is set for mobile equipment, and idle power-off conditions are set for computing equipment. Other devices are managed and controlled in a time-limited mode, and efficient utilization of energy is achieved while normal use is guaranteed.

The invention provides an index database management method and device, a retrieval method and device, a medium and a retrieval system, and relates to the technical field of computers, in particular to the technical field of information retrieval. The implementation scheme comprises the steps of receiving a first library building request; performing document-level popularity determination on the first document data; lexical item level popularity determination is carried out on the at least one first lexical item; and for each first lexical item in the at least one first lexical item, performing hierarchical storage on the first lexical item and first inverted index information of the first document data according to a lexical item level popularity determination result of the first lexical item and a document level popularity determination result of the first document data.

The invention belongs to the technical field of book borrowing process management, and relates to a book borrowing process intelligent management system based on the Internet of Things. Based on the constructed book borrowing management module, the book returning management module and the information base, different management strategies are adopted for readers with different credit levels, book resource allocation is optimized, management burden caused by confidential behaviors of the readers is reduced, and by tracking and recording the book borrowing state in real time, the book borrowing management efficiency is improved. A librarian can quickly know the current position and state of a book, books which are not borrowed by a reader are found and prevented from being taken out in time, book loss and theft behaviors are effectively prevented, book resources are protected against damage, penalty of the reader due to overdue time is reduced by reminding the reader to return the books in time, and the user experience is improved. The borrowing experience and satisfaction degree of the readers are improved, it is ensured that the returned books are not damaged or lost, and the responsibility and self-discipline of the readers are enhanced.

The invention discloses a software function library management method and system, electronic equipment and a storage medium. The method comprises the steps that under the condition that an instruction for calling a target software function library is received, judgment is carried out based on permission information in the instruction, and a judgment result is obtained; when the judgment result is that the permission information conforms to the preset calling permission, obtaining a target packaging interface corresponding to the target software function library; based on an original interface corresponding to the target encapsulation interface, calling a target software function library, the original interface being an interface of the target software function library; based on the library information of the target software function library, the target software function library is monitored, a monitoring result of the target software function library is obtained, and the monitoring result is used for representing whether the target software function library meets a preset safety condition or not. The technical problem of low management efficiency of the software function library in related technologies is solved.

The invention discloses a library management method and system based on the Internet of Things, and belongs to the technical field of library management, and the method comprises the following steps: carrying out the building of the infrastructure of the Internet of Things; according to the method, a large number of Internet of Things devices are integrated, management of books and data in the library can be achieved, meanwhile, the environment and safety in the library can be monitored and managed, the management effect and safety are improved, safety supervision is divided into two parts, and the management efficiency is improved. According to the method, the abnormal environment supervision in the library and the abnormal behavior supervision of personnel in the library are respectively carried out, the supervision effect can be comprehensively improved, the probability of occurrence of various risk events in the library is reduced, and meanwhile, multi-dimensional data collection and analysis are carried out in the method. According to the method, the purchase plan, layout adjustment and service optimization related decisions of the library can be formed, so that the quality of the library can be greatly improved, the library can be better fused with the demands of participants, and the overall method is good in practical application effect.

The invention discloses a supply chain integrated collaborative management system based on a cloud platform, which belongs to the technical field of supply chain management, and comprises a supply application platform processor, a multi-tenant key library management service, a digital twinning collaborative optimization module, a federal learning decision engine, an intelligent contract execution layer and an application interface layer, the problems of data splitting, low cooperation efficiency, low demand prediction precision and rigid logistics planning in the prior art are solved, and a distributed data warehouse, multi-dimensional supplier matching, a hierarchical demand prediction model and a block chain traceability technology are integrated. Breakthrough is realized through three major innovation mechanisms: firstly, a cross-subject real-time collaborative environment is constructed by adopting a digital twinning technology, and the problem of poor collaboration of links of a traditional supply chain is solved; secondly, data fusion is carried out by using federal learning, and the data value mining capability is improved on the premise of protecting data privacy; and thirdly, an intelligent contract is introduced to realize automatic disposal of abnormal events, and timeliness and toughness of supply chain risk response are enhanced.