21 results about "Information warehouse" patented technology

The invention relates to a three-dimensional warehouse access optimization method and system based on path planning, and the method comprises the steps: obtaining warehouse space scanning information and material scanning information of a three-dimensional warehouse, and the warehouse space scanning information comprises a goods shelf distribution state and an obstacle distribution state; the material scanning information comprises a position identifier and an access priority identifier of a to-be-accessed material; generating a path planning state feature set according to the shelf distribution state and the obstacle distribution state, wherein the path planning state feature set comprises shelf spacing features, obstacle influence range features and channel passing state features; performing access path planning processing based on the path planning state feature set and the position identifier of the to-be-accessed material to generate an initial access path sequence, and adjusting the path node sequence of the initial access path sequence according to the access priority identifier to obtain an optimized access path sequence; and sending the optimized access path sequence to a control terminal of the transfer robot so as to control the transfer robot to execute material access operation.

The invention discloses an enterprise receiving center construction method and system integrated with an e-commerce platform, and belongs to the technical field of enterprise supply chain management, and the implementation of the method comprises the steps: basic archive information management including material basic information, warehouse information, supplier information, personnel and department information management; the receiving center integration comprises e-commerce platform integration, material on-off management and receiving center application; budget management; performing approval management; document management; inventory management; quality control; and financial management. According to the invention, the collaboration efficiency in the enterprise can be enhanced, the centralized online approval and intelligent ordering of the platform are realized, the financial process is simplified, the financial risk is reduced, and the digital and intelligent management of the enterprise material receiving process is realized.

The invention discloses a grain diagnosis model training method, a grain diagnosis method, a grain diagnosis device and electronic equipment, and relates to the field of intelligent warehousing, the method comprises the following steps: collecting multiple groups of training data according to preset diagnosis types, each group of training data corresponding to one preset diagnosis type, the multiple groups of training data comprise grain storage information, warehouse environment information, warehouse equipment information and grain circulation information; extracting features of each group of training data, and obtaining a plurality of diagnosis models corresponding to each group of training data according to preset neural network training; and adopting a plurality of diagnosis models to build and obtain a grain diagnosis system. According to the method, data of various aspects of grain diagnosis are summarized, then the grain diagnosis model is trained, the grain diagnosis system is built, and the diagnosis system with an integrated evaluation function is built, so that the efficiency of grain storage management work is improved.

The invention relates to the technical field of warehouse management, in particular to a modular PCB workbin three-dimensional storage system and method.The system comprises a to-be-warehoused obtaining module used for obtaining product information of multiple workbins carried by an AGV intelligent carrier to be warehoused to obtain multiple pieces of to-be-warehoused product information; the warehouse state monitoring module is used for acquiring a storage position list in a current warehouse in real time; the sequence generation module is used for generating multiple warehousing sequences based on the multiple pieces of to-be-warehoused product information; the matching degree analysis module is used for analyzing the highest matching degree of each warehousing sequence and each storage cabinet in a storable state; the screening module is used for screening out the warehousing sequence corresponding to the matching degree meeting the preset condition as a final warehousing sequence; the sending module is used for sending the final warehousing sequence to the AGV intelligent carriers to be warehoused; and the AGV intelligent carrier warehouses the material boxes corresponding to the information of the multiple products to be warehoused according to the received warehousing sequence. The method has the effect of improving the ex-warehouse efficiency.

The invention belongs to the technical field of nuclear power, and particularly relates to a motion control system and method for a fuel assembly operation robot. According to the invention, through a strategy of dynamically generating the matching template, the generation of the template is based on the real-time sensed fuel assembly state information (such as rough position, attitude estimation and key feature points) in cooperation with the preset assembly feature knowledge base (such as geometric structure, key contour feature and grabbing interface position relation); the special packaging tool realizes real-time template generation on the fitted contour surface, and meets the high-precision positioning requirement of motion control of an operation robot. In addition, a special data assembly algorithm set and a matched information warehouse are packaged, so that the whole fuel assembly operation robot device has task configuration and full-automatic task implementation capabilities.

The invention provides an intelligent management method and system for prefabricated part transfer and storage based on multi-source data fusion, and the method comprises the steps: constructing a prefabricated part position recognition device based on a Beidou positioning technology and a visual positioning technology, and achieving unified time synchronization with UTC as a time reference; positioning and identifying spatial position information, an image spatial positioning reference and component attribute information of the prefabricated component based on a prefabricated component position identification device; constructing an equipment data fusion and management software system, and integrally binding the spatial position information, the image spatial positioning reference and the component attribute information based on the equipment data fusion and management software system to obtain a unique identity code of the component; and on the basis of the unique identity code of the component, the factory-oriented intelligent management and scheduling optimization of the prefabricated component are realized. According to the invention, full-process intelligent management of the prefabricated parts from positioning, identification and information storage to transfer and storage, stacking optimization and factory dispatching is realized.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power plant pipeline scanning task management system and method based on a dynamic configuration information warehouse. According to the system packaging special data assembly algorithm tool and the matched information warehouse, the nuclear power plant pipeline scanning device has configuration efficiency and full-automatic task implementation capability. The system can be suitable for various control cards through a configuration mode, reduces the technical dependence on an operator through a pre-configuration strategy, and shortens the training period. The problems that a control system in the nuclear power plant pipeline scanning service field is low in function reuse rate and high in function reconstruction cost are solved.

The invention discloses a method for upgrading and transforming an analog simulation system based on point-to-point communication, which comprises the following steps of: upgrading a communication protocol, forming communication middleware by establishing a DDS (Direct Digital Synthesizer) information warehouse and packaging a communication data interface in an original system, and establishing connection between operating console software and the DDS information warehouse through the communication middleware, completing data subscription and distribution; the method comprises the following steps: transforming data sending ends of software in an original system, only reserving a sending end generated by a data source and ignoring a forwarding data link among the software through data interface arrangement and transmission process tracing, then calling a corresponding data distribution interface function of communication middleware to replace an original sending end module, and uploading data to a communication bus; each software receiving end in an original system is transformed, each software subscribes to a data interface which needs to be received, then a corresponding data receiving interface function of communication middleware is called to replace an original TCP receiving end module, and needed data is obtained from a communication bus.

The invention discloses a firework and cracker safety production risk monitoring and early warning system based on the Internet of Things, which belongs to the field of monitoring and early warning systems and comprises a comprehensive information supervision subsystem, a risk monitoring and early warning subsystem, a meteorological disaster early warning subsystem, a dose acquisition and monitoring subsystem, an overload monitoring and early warning subsystem and an intelligent analysis and display subsystem. The comprehensive information supervision subsystem provides a management function including enterprise basic information, warehouse information, main principal information, equipment facility information, high-definition azimuth map information, firework and cracker experts and peripheral emergency resources; the risk monitoring and early warning subsystem collects real-time monitoring and alarm data of existing field real-time monitoring videos, environmental parameters, smoke alarms and perimeter intrusion of an access enterprise. According to the invention, various hidden dangers in the production process of fireworks and crackers can be comprehensively monitored, early warning is given out in time after abnormity is found, and the requirements of modern safety management are fully met.

The invention provides a shipping order matching method and device and a server, and relates to the technical field of logistics orders, and the method comprises the steps: obtaining shipping information and order information, the shipping information comprising warehouse capacity information, warehouse geographical distance information and warehouse inventory aging information; performing order intelligent matching processing on the warehouse capacity information, the warehouse geographical distance information, the warehouse inventory time efficiency information and the order information through a decision engine in a preset intelligent routing decision system, and determining an order matching strategy set; and performing cost analysis processing on each order matching strategy in the order matching strategy set by using a warehouse lease step calculation function in a preset cost optimization model, determining a cost coefficient corresponding to each order matching strategy, and determining the order matching strategy with the lowest cost coefficient as a target order matching strategy. According to the invention, the matching efficiency of the shipping order can be obviously improved, and the logistics cost of the order is reduced.

The present invention provides an intelligent distribution scheduling system, including: a carrier management module for managing carrier information; a warehouse management module for managing warehouse information; a strategy building module for establishing a distribution strategy from the first location of each warehouse to each outlet of each carrier and distribution parameter information corresponding to the distribution strategy; an order management module for acquiring and managing orders; and a distribution strategy adaptation module for adapting the distribution strategy to the order based on the order information of the order, the distribution parameter information of the distribution strategy and the preset adaptation principle. The intelligent distribution scheduling system of the present invention realizes the distribution scheduling of orders to meet the merchant's order distribution needs.

The application relates to the technical field of servers, and specifically provides an emergency material scheduling method, system, device and storage medium, which comprises the following steps: collecting disaster information, warehouse data, traffic states and environment data to construct a fusion data set; loading a pre-training weight model based on the disaster information, and calculating a multi-dimensional comprehensive score of each warehouse; generating an initial scheduling scheme by using a greedy algorithm, and generating a Pareto front candidate scheme by iteration through a multi-objective optimization algorithm; performing inventory dynamic deduction on the candidate scheme to predict the influence of the inventory state; and selecting a final scheme in combination with multi-objective evaluation results and inventory influence. Through dynamic weight evaluation and a multi-objective optimization mechanism, the application solves the limitations of a traditional scheduling method.

The invention provides an unmanned vehicle task processing method, an unmanned vehicle task processing device, electronic equipment and a computer readable storage medium, and belongs to the technical field of unmanned vehicles. The method comprises the following steps: acquiring a global task of an unmanned vehicle from a cloud; the global task at least comprises route area information of the unmanned vehicle; key name information and path feature information are extracted from the route area information; configuring attribute feature information of the route area information according to the key name information and the route feature information; and adding the key name information, the path feature information and the attribute feature information to a path information warehouse of the unmanned vehicle. According to the invention, the path information warehouse can be accurately and effectively generated, so that the path information warehouse can be used to control the driving of the unmanned vehicle.

To provide a smart management system for a cold chain logistics warehouse based on big data.SOLUTION: The smart management system includes a step of obtaining and analyzing a loading plan to determine drug information and warehouse information, a step of analyzing the drug information to determine an appropriate storage temperature, a step of analyzing the drug information, the warehouse information and the appropriate storage temperature to estimate a quality guarantee time of the drug in a non-cold chain environment, a step of determining vehicle information based on the appropriate storage temperature and the drug information, and a step of formulating a loading strategy for cold chain logistics warehouse management to refer to based on the drug information, the warehouse information, the vehicle information and the quality guarantee time in the non-cold chain environment.SELECTED DRAWING: Figure 2

The invention relates to the technical field of logistics management, in particular to a warehouse article first-in first-out management method, which is realized based on a warehouse management system and comprises a warehouse management module and an image recognition monitoring module, the method comprises the following specific steps that S1, an article warehousing image recognition monitoring module recognizes codes of articles and stores information of the articles in a warehouse management module; and S2, the warehouse management module automatically plans the storage position of the article. And S3, the image identification monitoring module sends the image of the article position to a warehouse management module. And S4, the warehouse management module forms new material information. And S5, when the article moves, the image identification monitoring module sends moving information to the warehouse management module. And S6, the warehouse management module updates the position information. And S7, selecting delivery according to a first-in first-out principle during delivery of the articles. And S8, when the image identification monitoring module monitors the article warehouse-out information, the warehouse management module updates the article warehouse-out information. The method has the advantages that the first-in first-out of the article is processed by using the monitoring video data, the cost is relatively low, and the operation is convenient.

The invention discloses a traffic line network transfer connection plan optimization method and system, and the method comprises the steps: obtaining a line network topological structure and passenger transfer walking time, and building an adjacent line transfer information warehouse; establishing a transfer station and transfer direction importance degree evaluation model; calculating an optimal transfer connection opening scheme of the comprehensive target in different time periods to obtain a local line timetable after optimization connection; and detecting the arrival and departure time sequence of the associated train number of each transfer station, calculating the connection or staggering state of each transfer station, and adjusting the time table of the train by using the importance degree evaluation model so as to optimize the connection state of the line network transfer. According to the method, automatic identification and priority quantitative evaluation of the whole-network transfer direction are realized, and the problem that the whole-network complex transfer relationship cannot be planned as a whole by manual calculation of transfer nodes is avoided; by establishing a transfer connection multi-objective optimization model, the shortest transfer time and the balance of the load factor can be comprehensively considered before the time table is generated, so that an optimized operation scheme and the time table are obtained.

The present invention discloses a method for evaluating the damage evolution characteristics of wood based on active acoustic emission, which relates to the technical field of physical analysis and includes the following steps: The wood to be detected is uniformly loaded through a four-point loading device, and an acoustic emission sensor is used to collect the acoustic emission waveforms at each detection point to obtain the acoustic emission parameters of the wood to be detected during the damage stage, and the damage characteristic index of the wood to be detected is analyzed. From this, the damage modes of the wood to be detected are classified, and the RA-AF correlation analysis method is used to quantitatively analyze the damage modes of the wood to be detected to obtain the damage forms of the wood to be detected during the loading process, and the damage evolution process of the wood to be detected is analyzed and transmitted to the cloud information warehouse for storage. By adopting the active acoustic emission method, the present invention generates acoustic emission events inside the material through an externally applied load, so that it can more flexibly adapt to different environments and requirements, and the acoustic emission data is processed by using a clustering method to reduce human intervention and improve the objectivity and consistency of classification.

Provide a system. 【Solution means】 Means for receiving applicant information and storing it in an information warehouse, Means for analyzing applicant information using a generative AI model and extracting skills and experience, Means for comparing the extracted content with job requirements and evaluating candidates, Means for listing suitable candidates based on the evaluation, Means for obtaining the available time of administrators and candidates and proposing interview schedules, Means for communicating the confirmed schedule, Means for evaluating and scoring the suitability of candidates to select candidates suitable for industrial facilities, Means for an administrator to select candidates and propose interviews using a smartphone, A system including the above.

The embodiment of the invention discloses an article scheduling method and device, electronic equipment, a medium and a program product. A specific embodiment of the method comprises the following steps: acquiring scene input information, warehouse article information and a warehouse article scheduling model; performing data structuring processing on the scene input information and the warehouse article information to obtain warehouse structuring information, warehouse article structuring information and object association structuring information; determining scene constraint information corresponding to the scene input information; inputting the warehouse structured information, the warehouse article structured information and the object association structured information into the warehouse article scheduling model to obtain warehouse article scheduling information under the scene constraint information; and executing article scheduling for the warehouse article scheduling information. The implementation mode is related to intelligent logistics, different scene constraints corresponding to different scenes can be considered, the accuracy of warehouse article scheduling information is improved, the utilization rate of a warehouse is improved, and waste of article scheduling resources is reduced.

We provide an unmanned short-term rental warehouse management system that uses an authentication code to unlock shutters and doors, contributing to the optimization of inventory and reducing logistics costs as a base for storing furniture for renovation work and storing and delivering products. [Solution] In the unmanned short-term rental warehouse management system, the web server sends the uploaded unmanned short-term rental warehouse contract information to the warehouse company manager's terminal and issues an authentication code. The warehouse company manager's terminal receives the unmanned short-term rental warehouse contract information from the web server, displays it, and confirms that the warehouse user has concluded an unmanned short-term rental warehouse contract. The unmanned short-term rental warehouse contract information includes an authentication code for using the warehouse and information related to the contract. The warehouse equipment authentication code reading device unlocks and opens and closes each opening and closing device such as the warehouse entrance and the shutters of each rental space by reading the authentication code.

A system for delivering contextual responses through dynamic integrations of digital information repositories with inquiries, comprising a computing device configured to collect a plurality of inquiries associated with an entity, access a plurality of digital information repositories in communication with the at least a processor to retrieve a plurality of entity records pertaining to the entity, extract one or more entity features from the plurality of inquiries and the plurality of entity records, implement a nested data storage structure to store the plurality of inquiries and the plurality of entity records based on the one or more entity features, generate, at one or more process models interfaced with the computing device, one or more contextual responses upon receipt of an additional inquiry by traversing the nested data storage structure, and display the one or more contextual responses to the entity through a user interface at a display device.