67 results about "Central database" patented technology

The invention provides an intelligent progress management and control method and system for information engineering supervision, and relates to the technical field of information, and the method comprises the steps: pushing early warning information to a first-party system and a second-party system through message middleware, collecting a feedback state to complete closed-loop cooperative processing, and updating a processing result to a central database; based on the central database, combining historical project data, performing pattern recognition analysis to extract a progress deviation rule, and dynamically optimizing a plan node threshold and buffer time of a subsequent stage according to the progress deviation rule to obtain an optimization strategy; and on the basis of the optimization strategy, constructing a configurable progress management and control template library, so as to quickly adapt and generate a corresponding progress management and control node and an early warning threshold value in the new-type project. According to the invention, a full-process closed-loop management system from data integration, intelligent optimization to dynamic adaptation is constructed, and the fundamental transformation of project progress management and control from passive response to active prediction and from experience driving to data driving is realized.

The invention provides an unmanned workshop automatic control method based on B / S architecture, which is used in the field of new energy battery detection, and comprises the following steps: S1, a laboratory information management system LIMS initiates a test task request; by integrating a laboratory information management system LIMS, a warehouse management system WMS, an AGV scheduling system, an equipment control system and a central database, a unified and collaborative intelligent management and control system is constructed, and full-process automatic and intelligent management from test task initiation, arrangement and distribution test, battery cell placement, AGV carrying, test execution to final ex-warehouse verification is realized. The bottleneck of a traditional system is broken through from multiple dimensions, and the new energy battery detection process is comprehensively promoted to be transformed and upgraded to be intelligent and unmanned. The battery cell information is automatically identified through code scanning, the corresponding process parameters and the test storage location are matched in a linkage mode, the detection task is intelligently generated, a traditional mode of manual instruction issuing and manual resource allocation is replaced, the labor cost is reduced, and the task processing accuracy and execution efficiency are improved.

The embodiment of the invention provides a ship equipment management system and method based on RFID, and belongs to the field of ship equipment management. The system comprises an RFID electronic tag for storing equipment information, an RFID reader-writer for reading and writing information, a computer terminal, a database, a read-write end management system and a client management system. According to the invention, each piece of equipment is bound with an RFID tag, information of equipment circulation in links of production, warehousing, ex-warehouse, maintenance, replacement and discarding is automatically acquired by using a reader-writer and is synchronized to a central database in real time, and a client management system realizes refined, visual and intelligent management of the equipment in a full life cycle based on the database. According to the invention, the problems of low efficiency, error proneness and difficulty in tracing of a traditional manual management mode are solved, and the management level and decision support capability of ship maintenance support work are remarkably improved.

The invention discloses a data sharing and deployment system and method of a cross-hierarchical regional independent system, and a medium, and aims to solve the problem that global strong-consistency basic data is difficult to manage due to high autonomy of a regional system in the prior art. According to the method, three technologies of service double-instance disaster recovery, CDC real-time data synchronization and Nacos dynamic routing are fused, a mixed mode of central centralized reading and writing and local disaster recovery backup is constructed, two service instances connected with a central database and a local backup database are deployed in each region, data are synchronized to the local backup database in real time by utilizing the CDC technology, and the data are stored in the local backup database in real time. And the online state of the service instance is dynamically adjusted through Nacos, so that the central data is accessed when the network is normal to ensure strong consistency, and the local backup service is automatically switched to ensure high availability when the network fails.

The described voting system comprises two main components: an online verification device and an offline voting device. The verification device utilises a data interface to communicate with central databases for real-time voter verification, employing biometric sensors to ensure accurate voter identification and prevent duplicate voting. This system enhances security by generating a unique verification code for each verified voter. The offline voting device, designed to be immune to network-based threats, uses this code along with biometric verification to authenticate voters. It features a user interface that employs eye gesture technology, allowing voters to select candidates privately and securely through eye movements, without any visible indication of their choices to onlookers. This setup not only protects the integrity of the vote from cyber threats but also safeguards voter privacy and reduces the potential for voter intimidation, for a free, fair, and secure voting process.

The embodiment of the invention provides an account management system and method based on a cloud platform, electronic equipment, a storage medium and a program product. The system comprises an account access component, an account management component and an application component, the account access component is used for writing account data of an account to be accessed into the central database; the to-be-accessed account comprises a cloud account of the current cloud platform and a third-party account of a third-party cloud platform independent of the current cloud platform; the account management component is used for managing a cloud account and a third-party account; the application component is used for executing functions corresponding to the application component on the cloud account and the third-party account. Through the account management system provided by the invention, access, management and switching of multiple accounts of multiple cloud platforms can be realized, and the management efficiency is improved.

The invention discloses a data management platform based on a block chain. The data management platform comprises a traceability data storage module and a data consistency management module. Through the traceability data storage module, the traceability data fingerprint of the traceability data is generated, only the traceability data fingerprint is stored in the blockchain account book, a non-tampering evidence is formed, and the storage overhead of the blockchain is reduced. And real traceability data is stored in a central database for subsequent query and review. Through the data consistency management module, the traceability data fingerprints in the blockchain account book and the traceability data in the central database are subjected to consistency management, the data consistency between the on-chain data and the off-chain central database is ensured, and the traceability data is ensured to be credible.

The invention relates to the technical field of file management, in particular to a file cabinet internet-of-things access control and data tracing method. The method comprises the following steps: firstly, generating a multi-site coupling digital key by extracting identity, authority and terminal characteristics of a borrower; during access verification, a dynamic instruction is used as a logic mask to extract effective site features, and a cabinet door is opened when the effective site features are consistent; then, synthesizing a preorder fingerprint with the identity residue of the borrower, writing the preorder fingerprint back to the physical tag, and generating a progressive fingerprint chain by adopting a cascade hash algorithm in a circulation process; and finally, disassembling the fingerprint chain through a reverse analysis model, and restoring the identity of the borrower in each link in combination with a cosine similarity matching algorithm. According to the method, the problems that offline circulation of the archives is non-traceable, authority verification is easy to crack and data highly depends on a central database are solved, and decentralized auditing and responsibility traceability of the archives in the whole life cycle are achieved.

The application relates to the technical field of space governance, and discloses a multi-agent space collaborative governance method, which comprises the following steps: processing multi-source heterogeneous data such as satellite images and sensor readings, establishing cross-type semantic association through geographic space data embedding technology, generating unified structured text after optimizing the satellite image through a vLLM, and synchronizing to a central database; an agent role image is dynamically generated by a central server large language model based on a preset Prompt template, and the generation is independent of fixed rules; then, a target node is selected in an edge-center architecture, a total task is decomposed into subtasks, semantic mapping is established and a matching probability is calculated, and distribution is optimized by means of a reward function; a governance scheme is generated in a perception layer-decision layer-execution layer architecture, and an encoded operation instruction is output; a strategy is updated based on execution feedback, a multistage mechanism is established, roles are automatically redistributed, and governance continuity is ensured. The application can improve the overall efficiency and reliability of space governance when facing dynamic scenes or emergency situations.

We provide the system. [Solution] As a data collection method, a device that collects real-time data from sensors installed at the construction site, A storage means for storing data from the above-mentioned device in a central database, An artificial intelligence processing method that automatically generates construction plans for construction projects using stored data, An adjustment mechanism that detects changes in the external environment and adjusts the construction plan accordingly, A notification means for informing the user of the adjusted construction plan, A learning method that uses the construction results to retrain the system and utilize them in generating the next plan, A system that includes this.

The invention discloses a tobacco process whole flow monitoring method, device and equipment, a medium and a product. The method comprises the steps that in a data processing platform, a central database is connected, to-be-analyzed data are obtained, and the to-be-analyzed data are acquired in real time through Internet of Things equipment of a plurality of to-be-monitored nodes deployed in the whole process of the tobacco technology; performing abnormal data monitoring on the to-be-analyzed data through a control chart theory or a machine learning algorithm, determining an abnormal data monitoring result, and visually displaying a related monitoring chart of the to-be-analyzed data; under the condition that the abnormal data monitoring result indicates that the abnormal data does not exist, optimizing the set process parameters corresponding to the to-be-analyzed data through a deep learning algorithm in combination with a feedback controller, and continuing the process flow through the optimized set process parameters; and when the abnormal data monitoring result indicates that the abnormal data exists, performing abnormal data early warning. According to the scheme, high efficiency and stable quality of related production processes of the tobacco process can be ensured.

The invention relates to the technical field of silver powder preparation optimization, in particular to a chemical synthesis silver powder preparation process optimization and production decision-making system based on the Internet of Things, which comprises an Internet of Things data acquisition module, a data transmission and storage module, a silver powder quality prediction model module, a process parameter optimization analysis module, a production decision-making and control module and a human-computer interaction interface. The Internet of Things data acquisition module acquires process equipment environment parameters of multiple key stations; the data transmission and storage module receives the verification data and stores the verification data to the central database; the silver powder quality prediction model module is trained based on historical data and dynamically predicts key quality indexes of the current batch of silver powder; the process parameter optimization analysis module reversely solves and optimizes the process parameter combination; the production decision and control module generates an issuing instruction in combination with the equipment state and the production plan; and the human-computer interaction interface visually displays related information. According to the method, the data reliability, the quality pre-judgment capability and the process optimization accuracy are improved, and intelligent upgrading of silver powder preparation is facilitated.

The invention relates to the technical field of disease prevention and control information, and particularly discloses an animal epidemic disease prevention and control system based on intelligent AI, which comprises a data acquisition module, a data transmission module, a central database module, an individual anomaly detection module, a group propagation prediction module, an intervention strategy optimization module and a decision execution and interaction module. The system collects animal behavior data through the intelligent necklace, adopts double-algorithm fusion analysis to realize accurate identification of individual abnormity, overcomes the problem that epidemic diseases are difficult to find, prevent and control in time in a field grazing environment, constructs a dynamic contact network to predict an epidemic situation propagation path, and applies multi-target reinforcement learning to generate an optimal prevention and control strategy. The intelligent management from individual monitoring to group prevention and control is realized, the accuracy of epidemic disease identification and the timeliness of early warning are remarkably improved, and meanwhile, the prevention and control cost and the influence on the ecological environment are reduced through resource optimization configuration.

The application discloses a cross-factory process parameter intercommunication and interdisplay method based on a unified database and belongs to the technical field of industrial intelligent manufacturing. The application stores all process parameters of production lines into a central database by using existing data acquisition systems of multiple production lines, reads off-line production line data from the database through software logic, and writes back to local HMI display, so that the process parameter intercommunication and interdisplay of long-distance, cross-factory and cross-PLC brand are realized. The application does not need any hardware modification, is not limited by distance and parameter type, and is implemented at zero cost, so that instrument faults and public medium fluctuations can be quickly judged, and the application is especially suitable for long-distance distributed production scenes of multiple production lines in metallurgy, chemical industry and the like.

A multi-functional shopping cart (100) for shopping includes a main storage (102) adapted for storage of items; a top cover (110) disposed on top of, and fixedly coupled to the main storage; a gate (112) provided at the main storage; a crane (130) provided within the main storage and configured to pick up items from the gate and move them to a designated location; an optical device (122) configured to detect the items. The shopping cart further includes a computing device (202) configured to: detect the items; extract one or more attributes of the items; operate the gate to allow the items to enter the main storage; operate the crane to transport the items to their designated location; and transmit the one or more attributes and a log of operations to a central database (250).

A 3D planning table for collaborative layout planning, characterized by a flexible, rollable display (e.g., OLED display or higher) on which additively printed 2.5D miniatures of planning objects (e.g., machines, workstations, etc.) are placed. The current layout state is continuously captured using a 2D or 3D camera and transmitted via an interface to a CAD program, which translates the 2.5D representation into a 3D representation of the layout and displays it on a monitor and via VR glasses. Saved intermediate states can be transferred back to the OLED display via an interface between the CAD software and the planning process. All 2.5D miniatures are equipped with a camera-readable code, which allows further information to be retrieved from a central database using a smartphone camera.

The invention discloses a method and system for carrying out full-life-cycle data tracing on components of a motor vehicle, and belongs to the technical field of motor vehicle tracing management. According to the method, when updating information associated with a motor vehicle is detected, a component identifier, a component type and updating content are determined based on the updating information, an information label is updated based on the component identifier, the component type and the updating content, and the updating content is stored in a central database; the method comprises the following steps: reading and analyzing label information of a motor vehicle label, carrying out data tracing on key parts or conventional parts of a motor vehicle, acquiring storage information of a central database, and carrying out consistency comparison with the label information to check the authenticity of the label information. The method can be applied to the fields of automobile manufacturing, after-sales service, insurance claim settlement, supervision and the like, ensures the completeness of a traceability chain of motor vehicle information, and prevents information tampering.

The invention discloses a charging pile distribution system based on dynamic load balancing, and relates to the technical field of intelligent scheduling of new energy automobile charging facilities. Updating the dynamic load characterization information to a central database of the charging pile distribution system; generating a charging pile distribution scheme; and updating the charging service scheduling state. According to the method, the problem that pile position idling and local overload coexist due to traditional static distribution is effectively avoided, and the utilization rate of charging facilities and the operation stability of a power grid are improved; the robustness and service continuity of the system in a sudden high-concurrency scene are enhanced, so that more efficient, reliable and safe charging experience is provided for users, and high-quality development of related infrastructures of new energy automobiles is powerfully supported.

The invention discloses a dairy cow and live pig high-quality breeding method based on AI genomics, and relates to the field of breeding. Comprising the following steps: multi-dimensional data acquisition: aiming at a target breeding group, acquiring whole genome variation data, various phenotype data and environment management data of each individual, establishing unique identification association for all the data, and storing the data in a central database; data preprocessing and feature enhancement: performing quality control, filling and standardization processing on the genome data, and constructing an effective feature set for model training from the original data based on statistics and machine learning methods; and training an AI prediction model. By introducing the artificial intelligence deep learning model, the complex non-additive effect and gene-environment interaction between the genotype and the phenotype can be efficiently captured, the prediction precision of important economic characters is greatly improved, and earlier and more accurate selection and optimized hybridization are realized, so that the genetic progress is greatly accelerated, the breeding cost is reduced, and the method is suitable for large-scale popularization and application. The breeding efficiency and benefits are comprehensively improved.

The application relates to the technical field of talent evaluation, and discloses a multi-dimensional adaptive examination generation method and system based on a dynamic skill map. The method comprises the following steps: real-time analysis of recruitment website and enterprise job description data, extraction of atomized skill phrases containing skill names, levels and correlation degrees, and generation of unified semantic representation; obtaining a standardized skill map through a large language model and transmitting the standardized skill map to a central database through a blockchain; generating an evolution strategy based on skill node weights and user historical answering characteristics, and differentiating and executing the evolution strategy by edge nodes; selecting a target edge node and configuring a skill knowledge cache; analyzing a candidate natural language answering request to generate ability matching characteristics, determining a candidate test question set, and outputting a test paper; and updating an ability evaluation model and an evolution strategy in combination with an answering result and a response time. The application can improve the authority and reliability of the evaluation result to meet the scientific and accurate needs of enterprises for talent evaluation.

The invention provides an Internet of Things terminal state management method based on persistent cache and lightweight synchronization, and the method comprises the following steps: when a system is started, an application node loads basic information of an Internet of Things terminal from an Internet of Things central database in batches, and stores the basic information into a local Level DB database; the method comprises the following steps: after receiving state data reported by an Internet of Things terminal, an access layer routes the state data to an application node, the application node writes the state data into a local Level DB database, and a synchronization message is generated and published to a preset theme through an NATS; the synchronization message at least comprises an Internet of Things terminal ID, a new state value and a timestamp; and all the application nodes subscribing the preset theme acquire the synchronization message from the preset theme, and update the synchronization message to a local Level DB database.

The invention relates to a smart electronic system for automatically managing and activating discounts during payment. The system is based on linking consumer data (such as national identification number, mobile phone number, and bank card or digital wallet details) to central databases of banking and non-banking offers and discounts. An authentication engine matches the consumer data to the databases, then a smart comparison module selects the best available discount. The discount is automatically applied to the payment at points of sale or in electronic payment portals, and the consumer is immediately notified of the discount applied. The system can be integrated with banks, digital wallets, communications companies, loyalty programmes and work places, and also comprises data protection mechanisms using encryption and multifactor authentication. The invention enables maximum benefit from discounts without manual intervention by the consumer, which enhances the payment experience and the effectiveness of commercial offers for banks and businesses.

An intelligent product catalog system provides for electronic creation, management and viewing of product information using a multimedia display system. A central database repository stores the product information and provides for an unlimited number of product attributes and dynamic reconfiguration of the product information. The central database repository comprises a metadata system, a scheme system and an object model system. A plurality of applications access the central database repository, the applications being automatically adaptive to the dynamic reconfiguration of the product information. A user interface provides display, sorting and filtering of the product information including the unlimited number of product attributes.

This invention provides an automatic routing method and system for VoIP switches based on edge computing. By decentralizing routing decision-making to individual VoIP switches, a decentralized decision-making mechanism is achieved. The system consists of multiple VoIP switches and a central database. Each VoIP switch establishes a local data storage area and a local routing table, and exchanges data directly with other switches through point-to-point communication channels. When receiving a voice communication command, the switch first attempts to make a decision using its local routing table; only when local data is insufficient or expired does it request updates from neighboring switches or the central database. The system implements a data layering module, a route learning module, and a fault detection module, and can dynamically adjust the synchronization frequency according to network conditions. This design reduces reliance on the central database, lowers communication latency, improves system reliability and adaptability, and provides a more efficient routing solution for VoIP networks.

The invention relates to a programmable device with a database 4 for storing parameters of hydraulic components 2 adjustable via a configuration means 3 as a central storage location for all parties involved, in which specific parameters for setting the hydraulic component 2 can be stored, wherein the data format is standardized for all parameters of the hydraulic component 2 in question.

Examples relate to data update requests for data items stored at a data store in a data system. In some examples, real-time data update requests to update data items at the data store via a plurality of data update nodes are received, where each data update node has a respective local map. In response to the real-time data update requests and for each respective data item, a respective data item is assigned to a respective data update node. The respective data item in the data store is updated and respective supplemental data of the respective data item including a historical time stamp indicating a historical generation time of the respective data item is stored in the respective local map of the respective data update node. A copy of the respective supplemental data of the respective data item is stored in a central database.

The invention relates to a system for displaying information, comprising an output device of a machine for outputting a QR code dependent on an event, a smart terminal for reading the QR code, and a central database with at least one piece of information associated with the QR code, wherein the information can be retrieved via the QR code and displayed on the terminal, and wherein the information in the central database can be updated.

A method for managing sports data is provided. In one example, the method includes, responsive to receiving, at a display of a computing device, a request for initiating a sub-event of a sporting event, accumulating data at a computing device during a sub-event of a sporting event. Transmission of the data to a central database may be delayed based on a pre-set delay interval. Upon receiving confirmation of completion of the pre-set delay interval, the data may be transmitted to the central database and correlated with hierarchically-arranged data profiles stored at the central database.

The invention discloses a side slope ecological restoration intelligent maintenance system and method, and relates to the technical field of ecological restoration, and the system comprises a data collection module which obtains real-time patrol data and environment monitoring signals from a sensor array deployed in a road network, and the environment monitoring signals comprise side slope surface displacement, soil humidity, vegetation coverage and rainfall intensity; the event judging module is used for obtaining the initial position and severity description of the emergency through fusing the multi-source input signals, and judging whether the event exceeds the processing capacity of a single area or not by adopting a preset threshold value according to the obtained initial position and severity description of the emergency; if so, extracting state records and position coordinates of the ecological restoration equipment in the adjacent areas from the central database; the intelligent maintenance system and method for ecological restoration of the side slope have the beneficial effects of intelligent monitoring, rapid response and accurate restoration.

The invention provides a high-reliability intelligent card AI image recognition application system and a method thereof. The system comprises an image acquisition module, an image recognition module, a data verification module, a central database and a log recording module. The method comprises a cue word establishment step, an image acquisition step, an image preprocessing step, a data coding and requesting step, an AI model identification step and a data verification step. According to the method, the problems of complex preprocessing, poor flexibility, weak robustness, semantic understanding deficiency and the like in the prior art can be solved, so that the flexibility and universality of image recognition are realized, and the recognition efficiency and accuracy are improved.