237 results about "Order status" patented technology

The invention discloses a logistics order management system and method, and belongs to the technical field of logistics information management. The method comprises the following steps: step 1, generating a unique digital fingerprint for each logistics order; step 2, performing multi-level security encryption and state synchronization management on order information; 3, constructing a digital twinborn model corresponding to the order, collecting and preprocessing key data in real time and visually displaying the key data in the logistics process, and realizing dynamic monitoring of the whole process; step 4, based on an order state consensus mechanism, automatically matching optimal logistics resources and driving an order processing flow, and generating a verifiable order execution proof chain at the same time; and step 5, performing intelligent analysis and adaptive optimization on the full-life-cycle data of the order, and continuously improving the overall efficiency and precision of logistics management.

The invention discloses a whole-process collaborative production logistics management optimization system and method. The core of the system is intelligent inquiry and blockchain cost management. The inquiry module fuses a dynamic weight algorithm and a machine learning model, intelligently screens goods opportunities, pushes an AES encrypted inquiry sheet, and optimizes a quotation scheme in a multi-objective manner. And the delivery module is in butt joint with the ERP through the OData API, automatically analyzes the order, generates a delivery order, integrates weighing data for fee calculation, and carries out early warning on an abnormal order. And the customs declaration module identifies invoice information through OCR, automatically extracts customs declaration fields, verifies compliance through API, and generates a standardized customs declaration. The in-transit tracking module integrates a multi-platform API, pulls a logistics state in real time, pushes the logistics state to a client through WebSocket, and transparentizes an order state. The cost management module constructs a distributed account book based on a PBFT consensus mechanism block chain, ensures that cost information is safe and credible, and supports multi-currency settlement and dispute arbitration. The system comprehensively optimizes the production logistics link, realizes full-process collaboration, improves the efficiency, reduces the cost, and enhances the enterprise competitiveness.

The invention relates to the technical field of logistics warehouse management, in particular to a real-time dynamic goods picking control system based on an intelligent handheld terminal, and aims to solve the problems that in the prior art, through communication between an intelligent container and the handheld terminal, a prompt device is used for accurately positioning and reminding a picker, so that goods are quickly and accurately picked, and goods picking efficiency is improved. The picking efficiency is obviously improved, but the risk of stock overstock and shortage is increased because a safe stock and replenishment strategy cannot be set by integrating historical sales data and demand prediction; according to the invention, inventory data is updated in real time through the order inventory management module, replenishment suggestions and early warning notifications are automatically generated, safe inventory and replenishment strategies are set based on historical sales data and demand prediction, inventory overstock and shortage risks are reduced, orders are dynamically allocated, resource utilization is optimized, the order state is updated in real time through the hand-held terminal, and the system is convenient to use. And the visual management capability is improved.

The invention discloses an online order full-process automatic processing system and method. The system comprises an order state analysis module, a cross-platform collaborative adaptation module, a resource scheduling planning module, an environment load evaluation module and a task scheduling optimization module. According to the invention, by analyzing the trend of the key time sequence change of the order life cycle, the circulation bottleneck can be identified and the time section exceeding the threshold value can be generated, so that the task sequence is matched with the system load, the scheduling coordination and the response precision are enhanced, the execution capability is dynamically compared to form the optimal distribution instruction, and the cooperation efficiency and the transmission continuity are improved. Based on a utilization rate change identification trend, resource distribution is balanced, scheduling flexibility and controllability are enhanced, resource and energy consumption cooperative adjustment is realized through environment load evaluation, operation stability and environment adaptability are improved, high efficiency and continuous optimization of an order flow are realized, and processing capability and operation toughness of a system under high concurrency are enhanced.

The invention discloses an airline order data processing method and device, and relates to the technical field of airline data processing, and the method comprises the steps: carrying out the order state marking and hierarchical analysis of order data; the hierarchical analysis comprises order global information analysis, passenger information analysis, flight segment information analysis and flight section information analysis; the order state reflects whether the order data has an influence on income settlement; searching a plurality of orders with a father-son association relationship in an order database according to the order identifiers, and constructing an order fission mapping relationship; in combination with the order state, reading a target order having an influence on income settlement from an order database, and obtaining analysis data corresponding to each passenger in the target order; and the analysis data corresponding to each passenger in the target order is used to carry out order freight rate allocation, order packaging service splitting and order tax splitting, and an order allocation splitting result is obtained. According to the method, the income settlement business processing efficiency, accuracy and real-time performance of the low-cost airline company can be improved.

The invention discloses a clothing supply chain transparent purchasing and collaborative management method and system based on the Internet of Things and a block chain. The method comprises the following steps: monitoring and collecting state data of raw materials in real time through Internet of Things equipment; when the state data meets a preset purchase triggering condition, a purchase demand transaction is automatically generated and broadcasted on the alliance block chain network; a purchase smart contract deployed on the alliance block chain network responds to the purchase demand, screens candidate suppliers, and quantitatively scores the candidate suppliers based on multi-dimensional historical performance data obtained from a distributed account book to automatically determine a target supplier; the purchase smart contract automatically generates a purchase order transaction and performs consensus evidence storage on the alliance block chain network; and continuously tracking order state update on the alliance block chain network, and automatically executing a settlement process when a preset payment condition is satisfied. According to the invention, the problems of opaque information, lagging purchasing decision, low process efficiency and difficulty in multi-party collaboration of the traditional clothing supply chain are solved.

The invention discloses a driver side navigation switching management method and system. The invention relates to the field of intelligent traffic and mobile application development. Passenger order information (such as new order generation and order state change) from a scheduling system is continuously monitored; acquiring the current navigation state (destination, route planning, driving state and the like) of the driver in real time; switching condition judgment is carried out; if the driver is in common navigation and receives a passenger order, calling a preset judgment table based on the order emergency degree and the predicted arrival time of the driver, and if judging that a switching condition is met, triggering a navigation switching process; according to the system, the navigation switching response time is compressed from the second level to the millisecond level through an active mechanism of order triggering and state sensing, and a driver can complete switching without manual operation. A map SDK asynchronous calling technology is adopted, parameter transmission and state cleaning are completed in the background, and the switching success rate is increased.

The invention discloses a customer service work order management system based on network employer service, which relates to the technical field of work order management and comprises a multifunctional service module, a distributed management module, an elastic module, an operation and maintenance monitoring module and a real-time notification module. The multifunctional service module comprises a user service unit, a work order service unit, a communication service unit, a knowledge base service unit and a data analysis unit, and is used for serving a network employer; the distributed management module is used for verifying user validity, determining user legality and creating a work order based on a legal user; and the elastic module is used when the customer service work order service response is overtime. According to the invention, omnibearing real-time monitoring and deep analysis are carried out on the system, discovered problems and work order state change conditions are pushed to related personnel in time, timely transmission of information is ensured, failure retry is carried out based on an exponential backoff algorithm, the reliability of notification is ensured, and notification loss caused by network fluctuation is avoided.

The invention discloses an intelligent optimal scheduling system and method based on multi-target production, relates to the technical field of intelligent scheduling optimization, and solves the problems that a scheduling scheme is difficult to adapt to the change of a production environment due to the fact that the scheduling scheme is generated by adopting a fixed weight or a static priority in the prior art. And the accuracy of the multi-target production scheduling scheme is low. A product comprehensive function is constructed according to product data, equipment data, order data and inventory data; generating a scheduling scheme according to the product comprehensive function and performing production scheduling according to the scheduling scheme; an alarm signal is generated according to equipment data, a product comprehensive function of multiple product production is constructed, multiple objective functions are combined through adaptive weights, the optimal state can be dynamically adjusted according to real-time production data, the accuracy of a production scheduling scheme is improved, meanwhile, the equipment and order states are monitored in real time, and the production scheduling efficiency is improved. An early warning signal can be sent in time, and the situation that equipment cannot work normally or orders are not processed in time is avoided.

The invention relates to the technical field of scheduling, in particular to an artificial intelligence-driven intelligent manufacturing system scheduling method, which comprises the following steps of monitoring order state parameters of a manufacturing execution system in real time, identifying equipment failure shutdown signals or order insertion signals, extracting associated equipment codes and current work order numbers, and establishing core disturbance information pairs. According to the method, the order state parameters of the manufacturing execution system are monitored in real time, the equipment fault shutdown signal and the order insertion signal are dynamically identified, and the equipment code and the current work order number are extracted, so that the core disturbance information pair highly associated with the disturbance source can be constructed, and the pertinence and accuracy of the scheduling process response are ensured. And in combination with the original plan completion time of the affected process, evaluating local delay caused by disturbance, gradually deducing to form the delay amount of the whole plan, describing the diffusion trend of the disturbance in the production progress, and defining a scheduling adjustment time window.

The invention discloses an online car-hailing background message pushing method and system based on ass. The invention relates to the technical field of online car hailing. When a client requests to establish SSE connection for the first time, the SSE connection is established based on HTTP long polling or HTTP stream (such as Server Push characteristics of HTTP / 2). The SSE server periodically sends heartbeat messages (null messages or messages only containing timestamps) to the client. The client server is informed of being still online and the connection is active. The SSE technology adopted by the invention allows the server to push events to the client in real time, and ensures that the user can receive the latest dynamic state and notification in real time, such as position update and order state change. Therefore, the user experience is improved, and the user can more accurately know the current service state. Compared with a traditional polling mechanism, the SSE technology adopted by the invention reduces the number of times of sending requests to the server by the client, so that the network burden and battery consumption of the client are reduced.

The invention discloses an efficient and intelligent production scheduling method for circuit boards, and belongs to the field of printed circuit board production and manufacturing. According to the high-efficiency intelligent production scheduling method for the circuit board provided by the embodiment of the invention, a feeding package and a process production scheduling rule are set through basic standard data such as front equipment, a production cycle, WIP balance, a production calendar, team members, product design, an order state and the like. Data obtained through ERP and MES statistical analysis are summarized into standard files of internal equipment, productivity, process, production cycle and process settlement, a system is guided to perform production order scheduling, and the method has the following advantages that the system automatically generates and continuously optimizes an order package for feeding and manufacturing, and the overall productivity is maximized; the shortest order production cycle and the minimum WIP settlement are realized; automatic transportation across workshops is realized; the production progress and abnormal conditions are monitored in real time, the plan is adjusted in time, and the production efficiency is improved.

The embodiment of the present disclosure provides an order information management method, device, and system, an electronic apparatus and a storage medium, the method includes: in response to obtaining a message of a new order of a target user on at least one first-type information platform, synchronizing order information of the new order to a second-type information platform of the target user; in response to obtaining an order status update message of the new order, synchronizing updated order status information of the new order from a message source terminal on the first-type information platform and the second-type information platform to a non-message source terminal, so as to complete synchronous management of the order information, the first-type information platform and the second-type information platform are different order information sources and different information management platforms of the target user, the second-type information platform is a main order information summary management platform.

The invention discloses a supply chain automatic performance method and system based on order state triggering, and relates to the technical field of supply chain management, a purchaser terminal communicates with an order management server to create an order, order detail data and associated contract data are input, and the order management server detects the validity of the order; and if the associated supplier terminal confirms that the order is accepted, the order state is modified into a to-be-delivered order state, the to-be-delivered order state information is interacted with the order management server, and the order management server pushes the to-be-delivered order state to the order associated party terminal. According to the invention, order state change is taken as a core trigger point, and automatic circulation of the whole process from order creation, supplier confirmation, delivery, transportation to sign-in is realized. Each link automatically verifies data and pushes information through the system, traditional modes of manual receipt transmission, telephone communication and the like are replaced, the performance period is remarkably shortened, the manual operation cost is reduced, and the system is particularly suitable for enterprises with weak informatization basis to quickly improve the management efficiency.

The invention discloses a management method and system for outsourcing purchased parts, and relates to the technical field related to data management, and the method comprises the steps: connecting an enterprise ERP system, synchronously screening BOM information and supplier information of purchased parts in real time, and inputting repair data, receiving data and return data, the input mode comprises code scanning input and pc popup window selection input; carrying out full-process tracking analysis, and determining the order state of the purchased parts; and configuring an authority management strategy, and performing control management of accessible data and executable operation on the order state. The technical problems that in the prior art, information transmission is lagged and inaccurate, data entry efficiency is low, errors are prone to occurring, the purchasing process cannot be tracked in the whole process, and the data security risk is high due to the fact that authority management is missing are solved. The technical effects of improving the information processing efficiency and accuracy, realizing the transparency and traceability of the purchasing process and improving the enterprise supply chain collaboration efficiency are achieved.

Various embodiments described herein relate to management of an industrial process in a process plant. In this regard, a status of an order of one or more orders is determined based at least on component spent characteristics. The one or more orders are associated with production of an industrial process product by the industrial process. A flag is set to a first value if the status of the order is a first status. Upon receiving an optimization request to optimize the industrial process with respect to another order, first notification(s) are rendered on a display. Then, the flag is set to a second value if the status of the order is a second status. Further, second notifications are rendered on the display, demand data associated with the orders is updated, and control signal is transmitted to a controller to optimize the industrial process with respect to another order.

The invention discloses a reinforcement learning-based cross-border B2B2C accounting and settlement system, and the system comprises the following modules: a transaction information collection module which achieves the collection of cross-border order information and the generation of an order data set; the exchange rate conversion module is used for realizing external exchange rate data acquisition and settlement currency conversion of the order amount; the tax calculation module is responsible for being connected with a tax policy interface and calculating order tax; the intelligent contract module is used for realizing structured analysis of account division rules and intelligent optimization of account division parameters; the order risk judgment module is used for realizing automatic evaluation of order states and risk characteristics and account division instruction triggering; the separate account calculation module is used for completing automatic calculation and result verification of separate account amounts; the settlement module is used for automatically completing multi-party settlement and account arrival state recording of sub-account funds; and the data storage and tracing module is used for realizing whole-process data evidence storage and traceable management. According to the cross-border B2B2C transaction system and method, multi-level account division automation is realized, and the efficiency, the safety and the compliance of cross-border B2B2C transactions are remarkably improved.

The invention discloses a civil aviation passenger transport income management system and method, and relates to the technical field of aviation data processing, and the system comprises an order recognition module, an order database, a checking module, a balance checking module, and an archiving module. The order identification module is used for receiving order data; marking an income influence state for the order data; performing hierarchical analysis on the order data to obtain analysis information; the order database is used for storing the order data processed by the order identification module; the checking module is used for carrying out to-be-settled money increase and decrease processing and use income confirmation or deletion on order data with influence on income management; the balance checking module is used for checking whether the to-be-settled money and the use income of the order in the closed state are balanced or not; and the archiving module is used for archiving the orders of which the order states are closed and pass the balance check. According to the invention, the problem that an airline company income management system for processing airline tickets / miscellaneous fees cannot deal with income management of unified orders at present can be solved.

The invention discloses a mobile operation and maintenance intelligent system based on large model application, and the system comprises a positioning database which is used for obtaining the position information of equipment and operation and maintenance personnel in real time; the operation and maintenance personnel configuration management database is used for storing skill, performance and load data of operation and maintenance personnel; the equipment configuration management database is used for recording equipment states and maintaining historical data; the large model operation center module is used for converting customer voice into characters, performing semantic analysis and sending customer problems and demands; the order dispatching intelligent operation center module is used for calculating orders dispatched by the first n operation and maintenance personnel with higher scores based on an intelligent order dispatching calculation model according to the work orders, and starting an order grabbing mechanism; and the operation and maintenance personnel mobile terminal is used for acquiring operation and maintenance personnel positioning information in real time, updating the information to the positioning database and supporting operation and maintenance personnel order grabbing operation and work order state real-time updating. The whole-process intelligent management of the operation and maintenance work order is realized, and the customer service efficiency, the order sending accuracy and the equipment maintenance initiative are remarkably improved.

The invention relates to a supply chain profit sharing settlement method and system based on a block chain, and the method comprises the steps: receiving user order data, and carrying out the analysis to generate a standardized order object; performing dimension analysis on the standardized order object to generate structured data; matching a corresponding profit sharing identity proportion set according to the discount rate; generating profit sharing integral data in combination with the geocoding space dimension and the profit sharing identity proportion set; when the order state is changed to be payment success, marking the profit sharing point data as a frozen state; when the change is completed, constructing a block chain transaction request and submitting the block chain transaction request to a block chain node; automatically analyzing the block chain transaction request, executing point transfer operation and generating an on-chain settlement voucher; carrying out transaction validity verification on the on-chain settlement voucher, and generating a fund transfer instruction; and updating the point account of the user and pushing a settlement result. The real-time performance, the accuracy and the credibility of profit sharing decision making are realized while the high concurrent processing performance is ensured.

The invention provides an e-commerce integrated order management system, and relates to the technical field of e-commerce, and the system comprises an order processing module which is used for receiving, splitting, merging and updating order states, automatically optimizing order circulation, improving the order processing efficiency, guaranteeing the real-time synchronization of the order states, and reducing the processing delay. In the invention, the data analysis module analyzes user behavior data (such as browsing, purchasing and returning) and market sales data in real time and predicts future commodity demands and sales trends by using the prediction model, and the system can automatically provide a real-time report for an operation team based on the data, so that the user experience is improved. The module helps to adjust the inventory replenishment cycle, sales promotion activities and commodity shelving plans, and has the core advantages that market changes are identified through big data analysis, response measures are automatically generated, the inventory management precision is improved, and the inventory overstock and stockout conditions are reduced.

The embodiment of the invention provides a multi-e-commerce platform order circulation method and system based on a sorting optimization algorithm. Wherein real-time state information, priority information and optimization targets of orders are obtained from a plurality of e-commerce platforms, initial weights are dynamically calculated by using the information, a multi-target optimization function is constructed, a preliminary order sorting result is generated, and in the iteration process, weight parameters are monitored and adjusted in real time to adapt to changes; the method comprises the steps of obtaining a real-time sorting result through local optimization and constraint condition correction, generating and distributing an order circulation instruction to each e-commerce platform system according to the real-time sorting result, monitoring an order state in real time during an order circulation period, identifying an abnormality according to a preset rule, and generating a processing instruction for adjustment; according to the technical scheme provided by the embodiment of the invention, the response capability to the order state change is enhanced, the processing efficiency is improved, the data consistency and execution continuity of cross-platform order circulation are ensured, the abnormal condition is effectively identified and processed, and the stability of the order flow is improved.

The invention discloses a network service charging method and system, and relates to the technical field of computers. The method comprises the following steps: in response to starting of a charging service, recording charging burying point data, storing the charging burying point data into a charging data table through a timed task, creating a charging order by using a charging strategy corresponding to the charging service, and automatically adding the charging order into a charging queue; the charging queue is continuously scanned through a timed task, a charging order matched with the current time is obtained, the charging order and basic information thereof are read, charging is executed according to a charging strategy to which the charging order belongs, and a charging bill is generated by adopting a charging logic corresponding to the charging strategy; in response to closing of the charging service, the charging order state is modified to be in settlement, the charging order is removed from the charging queue and added to the settlement queue, settlement is performed through the timed task, and the charging order state is modified to be closed. According to the invention, decoupling of charging logic and service logic is realized, charging of diversified products can be satisfied, and changes of service requirements can be rapidly and flexibly adapted.

The invention discloses a campus take-out order data management system based on location-based service, and belongs to the technical field of order management. The system comprises a positioning data acquisition module, an environment adaptive modeling module, a distance correction module and a confidence evaluation module. The method comprises the following steps: triggering a code scanning action of a rider, and synchronously obtaining GPS coordinates and Bluetooth signal intensity; establishing an adaptive signal attenuation model based on historical data of the meal taking cabinet, and calculating a high-precision correction distance; and finally, carrying out spatial vector consistency verification by fusing the GPS position and the correction distance, and generating an arrival confidence score, thereby accurately triggering order delivery confirmation, enhancing the discrimination capability of a false arrival behavior, remarkably improving the accuracy of order state updating, and improving the user experience. The problem of false delivery misjudgment of a rider caused by inaccurate positioning of the GPS in a complex environment in the prior art is solved.

The invention relates to a building material supply chain data synchronization method, and the method comprises the steps: collecting real-time data of an SAAS platform, a local ERP system and a third-party data source through a multi-protocol adapter, and the real-time data comprises building material inventory, logistics vehicle coordinates, order state change and enterprise industry and commerce information change; dynamically converting the collected real-time data to generate a standardized data packet; the dynamic conversion comprises field mapping, unit standardization and data traceability label addition; selecting an encryption strategy according to the data sensitivity level, and encrypting the standardized data packet to obtain an encrypted data packet; and constructing a synchronous topology network based on a data dependency relationship among multiple platforms, and distributing the encrypted data packet to a target platform based on the synchronous topology network for data synchronization.

The invention provides an order sorting and path optimization method and system based on real-time logistics data, and relates to the technical field of logistics task adjustment and assignment. The method comprises the following steps: acquiring real-time traffic data of an urban road network, and judging the congestion level of a road section or a region based on the real-time traffic data; monitoring a delivery task in real time, and obtaining a deliveryman position, a task order list, an order state and an original planning route; determining an adjustment strategy by looking up a preset congestion level grading response rule base when it is judged that the congestion level of the road section or region on the current or planned route of the deliveryman changes; and sending the new route, the order adjustment information or the re-dispatch notification to the deliveryman terminal in real time. According to the method, sudden traffic changes can be dealt with, smooth completion of a delivery task and order timeliness are guaranteed, and the method is beneficial to responding to the demand of urban instant delivery.

The invention provides an e-commerce logistics management system, and relates to the technical field of logistics supply. The e-commerce logistics management system comprises an order processing module which is used for receiving and confirming a user order and generating a logistics task; the inventory management module is used for monitoring and managing inventory information in real time and ensuring the accuracy of inventory data; the delivery path optimization module is used for optimizing a delivery path according to the order information, the warehouse position and the deliveryman position; the logistics information updating module is used for updating logistics information in real time, and the logistics information comprises an order state and a delivery progress; and the user interaction module is used for interacting with a user and providing logistics information query and feedback. When the distribution path optimization module distributes distribution tasks, current load conditions of deliverymen are considered, load balancing is achieved, overload of some deliverymen is avoided, and the load balancing mechanism improves the utilization rate of human resources, reduces distribution delay and dynamically adjusts distribution paths and resource distribution.

1. Name of the Design Product: Graphical User Interface for Order Evaluation of Electronic Devices. 2. Use of the Design Product: For electronic devices. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph Most Indicating the Design Key Points: Front View. 5. Use of the Graphical User Interface: For displaying order status and evaluation. 6. Description of the Changing States of the Graphical User Interface: Click on the card with the order status of "Completed" in the front view to view the changing state diagram 1 of the order details display. Click on "To Be Evaluated" in the changing state diagram 1 to display the evaluation page, such as the changing state diagram 2. After entering the evaluation content in the changing state diagram 2 and clicking "OK", the changing state diagram 3 is displayed to complete the evaluation. 7. Other Situations Requiring Explanation: Other Explanation: X represents replaceable text.

The invention discloses a general order state machine and system based on multiple categories of an SAAS platform. The invention relates to the technical field of SAAS platforms. Loading a state machine engine configuration file, and initializing a state machine engine environment; scanning and registering a processor, and constructing a processor mapping table according to dimensions of multiple states, multiple channels and multiple events; after a new order state circulation request is received, related information is acquired from the context according to the order ID and the current state in the request. Reading and analyzing a configuration file of the state machine engine, wherein the configuration file comprises an initialization parameter, a state definition, an event definition and a state conversion rule of the state machine engine; according to parameters in the configuration file; according to the invention, through clearly defined states and conversion rules, the whole flow of designated driving service becomes more standard and controllable, and the possibility of human intervention and misoperation is reduced. The automatic execution of the state machine engine enables the order state to quickly and accurately respond to various events and conditions.

The invention provides a catering delivery path real-time optimization method and system based on multi-target dynamic planning, and the method comprises the steps: obtaining a delivery order, extracting a user geographic position, a commercial tenant geographic position, expected delivery time, a food type label and an order placing timestamp of the order, constructing an order cooperation graph, and carrying out the optimization of the order cooperation graph; performing sub-graph division on the order collaboration graph based on a greedy strategy to obtain an order combination set; constructing a task-level delay penalty function for each order combination; solving an optimal delivery path sequence for each order combination by adopting a dynamic programming algorithm; in the execution process of the optimal delivery path sequence, disturbance caused by traffic and order state changes is monitored in real time so as to construct a disturbance state score, when the disturbance state score decreases and exceeds a preset threshold value, local path segments of corresponding order combinations are replanned, and updated path segments are spliced with unaffected segments. According to the invention, the overall timeliness and the user experience can be stably improved under the conditions of massive orders and complex road conditions.