78 results about "Library management" patented technology

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 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 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.

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 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 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.

The invention discloses an intelligent library management method, and relates to the technical field of data management, and the method comprises the steps: collecting local training parameters and behavior monitoring logs to an aggregation center, carrying out the safety aggregation calculation through employing a differential privacy method and a drift detection weight, and generating a global parameter package and a unified drift signal; distributing the global parameter packet and the unified drift signal to a distributed book data end, and generating a personalized recommendation result and recommendation explanation in combination with a retrieval request and a borrowing behavior which are acquired in real time; performing real-time performance monitoring on personalized recommendation results and recommendation explanations, identifying user interest changes through concept drift detection, and generating a drift alarm and an affected feature set; and carrying out priority training on the drift alarm and the influenced feature set, generating updated local training parameters, carrying out privacy compliance check on the updated local training parameters and the behavior monitoring log, and generating a privacy compliance report and book recommendation optimization suggestions. According to the method, recommendation accuracy is improved, and the adaptability to concept drift is enhanced.

The application discloses an intelligent management method of a library warehouse information system, and relates to the technical field of library management, which comprises the following steps: establishing the association relationship between the book category and the books, and calculating the score reference index based on the user data; establishing the fitting equation of the time and the total number of book demands, and combining the comprehensive proportion index of the books in their categories to calculate the first predicted total number of demands of each book and the error; based on the score calculation strategy, establishing the fitting equation of the comprehensive score and the total number of demands to calculate the second predicted total number of demands of the next week and the error; combining the two predicted total numbers of demands to obtain the comprehensive predicted total number of demands, and executing the replenishment judgment strategy to judge whether the books need to be replenished, so that the accuracy and timeliness of the inventory management are ensured.

The invention discloses a backup library management method and system for a data guard cluster, a server and a medium, and relates to the technical field of databases. Receiving a backup library management command through a monitor in the data guard cluster; in response to the standby library management command, sending a standby library management notification message to the main library; the standby library management notification message is used for indicating the main library to manage standby library separation information of a standby library in the data guard cluster, and the standby library separation information is used for indicating whether the standby library is separated from the data guard cluster or not. The main library is indicated to manage the standby library separation information through the monitor, so that the main library can safely separate the standby library needing operation and maintenance out of the data guard cluster, adverse effects on restarting of the main library are avoided, and the service of the main library can be recovered after the main library is restarted; and after the operation and maintenance of the standby library are finished, the standby library can be safely added back to the data guard cluster under the condition that the main library is not influenced, and the standby library participates in the normal log synchronization process again.

The invention discloses a biological sample library management method based on integration of intelligent early warning and emergency treatment. According to the method, through data acquisition, an intelligent early warning algorithm and an emergency response mechanism, the temperature and humidity environment in a biological sample library is monitored in real time, and emergency processing is triggered when abnormity is detected. Through multi-level threshold comparison and a self-adaptive algorithm, the system can automatically adjust the temperature and humidity according to environmental changes, and the stability and safety of a sample storage environment are ensured. And specifically, through a dual-system identification strategy and a CO2 dry ice backup refrigeration mechanism, the flexibility and reliability of emergency treatment are improved. According to the method, the automation level and response efficiency of biological sample library management can be remarkably improved, and long-term storage and safety of samples are ensured. The method has the advantages of quick response, automatic adjustment, efficient optimization and the like, and can be widely applied to the environment monitoring fields of biological sample libraries, medical storage and the like.

The invention discloses a self-adaptive interface book anti-theft and identity recognition system, which belongs to the technical field of library management, and is characterized in that an access control management terminal is integrated with an identity recognition interface and is used for collecting and recognizing identity information of access personnel; the book management terminal is integrated with an RFID identification interface and is used for reading RFID label information on a book. The librarian work station is provided with a system management interface and is used for configuring and managing user permission and book information; the central server is provided with a data fusion and protocol conversion interface which is used for receiving and processing data from the identity recognition interface, the RFID recognition interface and the system management interface. The self-adaptive interface book anti-theft and identity recognition system provided by the invention effectively realizes integrated, precise and intelligent management of book anti-theft and identity recognition through recognition, data fusion and intelligent linkage of various interfaces.

This utility model provides an archive and book inventory device, belonging to the field of library management technology. The technical solution is as follows: an archive and book inventory device includes an inventory cart with casters mounted on its bottom. At least one set of rotating components is arranged on the side of the inventory cart. Each set of rotating components includes a first connecting seat, a rotating rod, and a second connecting seat. The first connecting seat is fixedly connected to the side of the inventory cart. One end of the rotating rod is rotatably connected to the first connecting seat, and the other end is rotatably connected to the second connecting seat. All second connecting seats are fixedly connected to a support rod. A scanning component is mounted on the support rod and is electrically connected to the inventory cart. The scanning component can scan archives or books on the bookshelf. The beneficial effect of this utility model is that this device can effectively inventory archives and books within the narrow gap between the support column and the bookshelf, thereby eliminating blind spots in the inventory process.

The present application relates to a shared library management method and device; the method comprises: periodically acquiring first data in a shared library in a Linux system and comparing it with second data in a database to determine whether the shared library in the current Linux system has been modified or deleted, thereby triggering a database update instruction or a shared library recovery instruction; performing a validity check on a target shared library according to the type of software operation event when executing a software operation event, and triggering a shared library addition instruction, a shared library update instruction, or a shared library recovery instruction based on the check result; or acquiring target software that depends on the target shared library, determining whether the target software exists in the Linux system, and triggering a shared library update instruction or a shared library deletion instruction; the use of this method can improve the stability of the Linux system.

The invention discloses a vector library management method and related equipment, and relates to the technical field of large language models.The method comprises the steps that an original text is obtained; performing readable confusion processing on the original text based on elliptic curve key negotiation to obtain a confused text; performing Hash calculation on the original text to generate a Hash value; performing digital signature operation on the hash value based on the signature private key to generate a digital signature; inputting the obfuscated text into a vector embedding model to generate vector data; and storing the vector data in a vector library, and storing the hash value and the digital signature as metadata in association with the vector data. The integrity and source credibility in the data storage and retrieval process are effectively guaranteed, data tampering and malicious injection are prevented, and the overall safety of a vector library system is improved.

The invention relates to the technical field of book management, and discloses an on-shelf spine measuring and positioning algorithm based on visual identification, an industrial camera and an annular light source are matched to collect spine images, and the annular light source provides uniform illumination to avoid light reflection and shadow and ensure that the images are clear. In the preprocessing stage, bilateral filtering is used for removing high-frequency noise and keeping book spine edge details at the same time; the contrast between the spine and the background is enhanced through self-adaptive histogram equalization, and edge and label information is highlighted; hough transform is used for detecting a bookshelf frame and cutting out an ROI, invalid background interference is reduced, high-quality image data is provided for follow-up processing, a YOLOv8 model is used for pre-training spine labels, because most of the labels are located below the spine, the labels serve as anchor points to position the approximate range of the single spine, the slope of the edge is calculated, and left and right boundary lines are fitted through a least square method; upper and lower boundaries are determined in combination with horizontal projection, accurate segmentation of densely arranged spines is realized, and the problem of adhesion of adjacent spines is solved.