98 results about "Order number" patented technology

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 relates to the technical field of promotion, discloses a promotion management method and system based on big data, and particularly discloses a method for obtaining the order number and the number of browsers of a movie ticketing platform in a promotion period; dividing the promotion cycle into time periods, and marking the time periods of the promotion cycle according to the order demand coefficient to determine whether the time periods are marked as hot order placing time periods; establishing a dense classification model based on a convolutional neural network, and classifying each time period of the promotion cycle through the dense classification model to determine whether the time period belongs to a dense order placing time period; obtaining order prediction data of the dense order placing time period at a future target time point through the target prediction model; and selecting the dense order placing time period according to the promotion target time length to obtain a promotion plan time period, and determining the ticket putting amount corresponding to the promotion plan time period. According to the invention, the promotion and marketing efficiency can be effectively improved, and the promotion and marketing optimization method and system based on the data analysis and prediction model are realized, so that the sales conversion rate of promotion is improved.

The invention relates to the technical field of transaction data aggregation, and discloses a near-real-time aggregation method and system for heterogeneous transaction system data, and the method comprises the steps: obtaining real-time change data from a plurality of heterogeneous transaction systems through a change data capturing technology, and standardizing the change data into a uniform format; performing Hash routing calculation on the standardized change data based on the order number to generate a Hash value, and routing the change data of the same order to the same message queue according to the Hash value; an independent consumer thread is allocated to each message queue through a multi-queue parallel processing mechanism, and the number of the consumer threads is dynamically adjusted according to the message accumulation amount; according to the method, the processed change data is aggregated according to the preset core field template, the aggregated data is stored in the aggregation database, cross-system unified query and analysis are supported, and the problems that heterogeneous data query is difficult, order affiliation judgment is complex, cross-system data statistical analysis is obstructed, and data synchronization timeliness is not high are solved.

The invention discloses a large digital printer control method and system based on artificial intelligence, and relates to the technical field of digital printer control, and the method comprises the steps: carrying out the sorting processing of all unexecuted tasks of a large digital printer, and determining a priority task set of the large digital printer; and carrying out information matching processing on the priority task set of the large digital printer, and determining a first priority task to be processed. According to the method, time comparison analysis is carried out on all completed tasks of the large-scale digital printing machine, priority order number types are determined, then classification processing is carried out on all uncompleted tasks of the large-scale digital printing machine according to the priority order number types, a priority task set of the large-scale digital printing machine is determined, and finally, the priority task set of the large-scale digital printing machine is determined. Information matching processing is conducted on the priority task set of the large digital printing machine, the first priority task to be processed is determined, and therefore it is guaranteed that orders with urgent processing time can be processed in advance, and it is guaranteed that the orders can be completed on time.

The invention relates to the technical field of enterprise resource planning, and discloses a sales method, system and device and computer equipment, the sales method is applied to a management platform, and the method comprises the steps: obtaining customer order request information of each store in a preset time period, and generating an order and an order number of a corresponding store based on the customer order request information; based on the order number and a preset auditing condition, auditing the order of the corresponding store; after the verification is passed, a store delivery order is generated based on the order, the market inventory condition and the delivery strategy; and picking up the goods from the market warehouse to the corresponding store warehouse based on the store delivery order and the order deposit number, so that the store warehouse picks up the goods to the customer according to the goods picking application, the exclusive auditing rule is made for different market stores, the belonging market is accurately determined, and the purpose of accurate goods picking of the customer is achieved.

The present invention provides a payment QR code management method and system, which comprises the following steps: 1. generating a system order number, then requesting a third-party payment channel interface to obtain a third-party payment address, generating a random string with a length greater than 5 as a short link identification code, using the code as a key, and storing the third-party payment address and the system order number as values ​​in a redis cache; 2. a user accesses the payment QR code address, uses the code as a key to read the redis cache to query the system order number, and returns a websocket handshake address of the payment QR code address page; 3. handshaking with the payment system through the websocket handshake address, and storing the websocket link generated after the handshake is successful in a websocket link pool with the system order number as an identifier; 4. the user scans a QR code image to access the short address, and the payment system uses the code as a key to read the redis cache to obtain the third-party payment address, and performs a payment operation; 5. after payment, the websocket link is removed from the link pool, thereby improving the user's payment experience and the reliability of the system.

The invention relates to the technical field of research and development management, can be applied to financial science and technology business scenes, and discloses a business processing method, device and equipment based on breakpoint monitoring and a medium. Detecting a condition that a certain operation link does not continue to operate after a preset time, marking the operation link as a breakpoint and associating an order number, sending a task to a remote service system, completing the operation link marked as the breakpoint through the remote service system, updating an order state, and determining whether all the operation links are completed based on the order state. A final processing result is generated and sent to the application initiator, and corresponding processing operation is executed after confirmation information is received. Through real-time monitoring and automatic breakpoint detection of the operation progress and in combination with timely response and assistance of the remote service system, the breakpoint problem is efficiently solved, and the business conversion rate is improved.

Multiple embodiments of this specification relate to the field of information technology, and specifically to a method and system for smart cabinet linkage delivery. The method includes the following steps: setting a server to receive slot reservation requests sent by express delivery companies, wherein the slot reservation requests include express delivery order numbers, recipient identification information, and expected delivery dates; the server generates linkage slot requests based on all received slot reservation requests; allocates slots for the linkage slot requests and sends them to the corresponding smart cabinets and express delivery companies; when the smart cabinet receives a cabinet entry request from a delivery person, it queries whether there is a matching linkage slot request based on the express delivery order number; when there is a matching linkage slot request, it allocates a slot corresponding to the linkage slot request to the cabinet entry request; when all the express deliveries involved in the linkage slot request are in the cabinet, the smart cabinet sends a pickup notification to the recipient.

The invention discloses an order processing method and device, electronic equipment and a computer readable medium, and relates to the technical field of computers, and the method comprises the steps: obtaining an order identifier, commodity attribute data and geographic data corresponding to order data; determining an order number corresponding to the order data, and determining an order processing algorithm according to the order number; in response to the order processing algorithm being a graph theory algorithm, creating an undirected graph according to the order identifier, the commodity attribute data, the geographic data and a preset edge addition rule, and grouping the order data based on the undirected graph to obtain a set order; in response to the order processing algorithm being a heuristic algorithm, calling a planning engine to group the order data based on the order identifier, the commodity attribute data, the geographic data and a preset constraint condition to obtain a set order; and based on the set list, generating a picking task, and sending the picking task to the target terminal. Therefore, the efficiency, the stability and the accuracy of processing large-scale and high-complexity orders are improved.

The invention provides an order processing method, device and system, equipment, a cluster, a medium and a product. The method is executed by a load balancing device or an application system, under the condition that the application system comprises a plurality of computing devices, the load balancing device is used for balancing loads among the computing devices in the application system, and the method comprises the steps that a processing request is acquired, and the processing request comprises an order number; an environment identifier in the order number is identified, the environment identifier is used for indicating an execution environment for processing the processing request, the execution environment comprises a first execution environment and a second execution environment, and the first execution environment and the second execution environment run in the application system; and sending the processing request to an execution environment for processing the processing request according to the environment identifier.

The invention discloses an intelligent quality inspection method and system for consistency of a template and a signature for contract approval, and particularly relates to the technical field of intelligent quality inspection for contract approval. The problems that contract templates are wrongly selected, pages are missing or repeated, signing and sealing are incomplete, contract numbers and work order numbers are inconsistent, only manual check one by one can be relied on, efficiency is low, and the rate of missing detection and false detection is high are solved. An approval work order is taken as a unified entrance, an asynchronous queue, contract image preprocessing and identification, template knowledge base matching, page-level mapping and signature number joint inspection are introduced, and template suitability, page number integrity and signature consistency are converged into an automatic quality inspection link, so that batch contract pre-quality inspection is realized on the premise that an existing approval process is not transformed, and the quality inspection efficiency is improved. Missing detection and false detection are reduced; and examination and approval efficiency and stability are improved.

The invention provides a multi-order warehouse-out task scheduling method, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining to-be-issued order information, grouping the to-be-issued order information, and issuing the to-be-issued order information according to waves; the number of orders to be executed in each wave is obtained, and the orders to be executed are issued according to order serial numbers; obtaining a real-time task number of each task layer; whether the real-time task number of each layer is smaller than the maximum task number or not is judged, if yes, to-be-executed tasks in the to-be-executed order are issued to the corresponding task layer, and if not, issuing of the to-be-executed tasks is suspended until the real-time task number of the corresponding task layer is smaller than the maximum task number, issuing continues. According to the method, the multiple orders are issued in parallel, so that the delivery efficiency of the orders can be improved.

The invention discloses a method for binding order numbers of three-in-one products in LCD (liquid crystal display) module production, which comprises the following steps of: 1, when a preset model production order of an LCD module is received, writing an order number code containing model information corresponding to the model product into a background system; 2, the LCD module product to be processed is fed into a three-in-one automatic machine table, a product two-dimensional code on the LCD module product is scanned through a code scanning gun arranged on the three-in-one automatic machine table, and the scanned product two-dimensional code is transmitted to an upper computer of the three-in-one automatic machine table; and step 3, the upper computer sends the received product two-dimensional code to a background system. Compared with a traditional mode, order number recognition is added in three-in-one software, the situation that production line workers misplace products is intercepted, and the method has the following effects that the use probability of secondary burning is reduced; the product scrapping probability is reduced; customer complaints are reduced, and the quality of company products is improved; the cost and the reworking cost are reduced.

The invention discloses a method, a system, equipment and a product for generating a custom business document number. The method comprises the following steps: S1, analyzing a basic service order number rule of a target service system by an order number generation system, and establishing a service order number generation rule based on the basic service order number rule in the order number generation system; s2, the target service system sends a service order number generation request to an order number generation system, and the order number generation system calls a corresponding service order number generation rule according to the service order number generation request, analyzes the service order number generation rule into a service order number output rule and generates a service order number; and S3, the target service system sends a service order number acquisition request to the order number generation system, and the order number generation system provides the service order number to the target service system based on the generated service order number. According to the invention, the business order numbers of different projects and different business systems can be uniformly generated and maintained under the same architecture, the development and test workload is greatly reduced, and the stability of the system is improved.

The invention provides a continuous production control method and system of a diluent filling machine, and relates to the technical field of diluent filling machine production control. The method comprises the following steps: firstly, receiving and verifying employee code scanning information, and determining an employee operation authority; bar code information containing order numbers and the like is obtained through label bar code scanning, recorded and displayed, and then the bar code information is compared with database order data to verify the bar code state. And after confirming that the bar code is valid, extracting corresponding order data, and determining a process control table according to an order formula. And when the production conditions meet the requirements, a filling parameter and an instruction sequence are generated, and the filling machine is controlled to fill according to the sequence of the barrel numbers. The corresponding bar code information is cleared after filling of each barrel is completed, whether the order is completed or not is judged according to the total number of the orders and the number of the filled barrels, if not, a filling instruction continues to be sent, and after completion, an order closing and account deduction instruction is sent to a financial system. The full-process automatic control from order starting to financial settlement is realized, the manual intervention is reduced, and the continuity of diluent filling production is improved.

The invention discloses a self-adaptive gamification regulation and control method and system based on ETC passing data. The method comprises the steps that a toll station space coordinate set is generated; generating a user province card collection schedule; counting passing frequency, passing mileage and trans-provincial behaviors of the user in a preset time window, writing a user activeness model into a user file, respectively setting trigger thresholds for passing card punching behaviors and social sharing behaviors, and when the corresponding thresholds are met, generating a card object and writing the card object into a user province card collection schedule; analyzing the province card collection progress chart of the user in real time; the logistics order number state is tracked in real time until signing is completed, and the user medal warehouse is updated; and when the backflow monitoring module detects an access event, the backflow access amount is recorded and written into a user fission value table. According to the method, the application depth of data and the user interaction fairness are remarkably improved.

The application discloses an abnormal delivery order processing method and device, and relates to the technical field of warehouse logistics. A specific embodiment of the method comprises the following steps: in response to a vehicle unsealing operation, obtaining the batch number of the unsealed vehicle, and obtaining a corresponding delivery order number set according to the batch number; in response to receiving a list of delivery order numbers that have been checked, comparing the list of delivery order numbers with the delivery order number set to obtain an abnormal delivery order number; according to the abnormal delivery order number and the current site identifier, querying the upstream node of the current site from a routing system, and sending the abnormal delivery order number to the upstream node to enable the upstream node to confirm the abnormal situation of the abnormal delivery order corresponding to the abnormal delivery order number; and in response to receiving the abnormal situation sent by the upstream node, processing the abnormal delivery order according to the abnormal situation. The embodiment improves the abnormal delivery order processing efficiency, avoids causing site goods backlog, shortens the abnormal processing period, and in turn shortens the distribution period, thereby improving the logistics distribution efficiency.

The present invention provides a method for testing payment timeout warnings. The method includes the following steps: Step S1, locally create an order management database, create a temporary order table and a historical timeout order table, and set the attributes of the historical timeout order table, including order number, timeout times, and payment callback values of each component; clear the data in the temporary order table before each test task is executed; Step S2, set a test task, deploy the test task on the continuous integration tool jenkins, set the build frequency to a preset time, continuously integrate and build the test task, and monitor the online order payment status; Step S3, after the test task is completed, push the test warning message, and the operator can accurately locate the abnormal link causing the payment timeout according to the abnormal component callback value in the push message; the automated monitoring is more intelligent, reducing unnecessary troubleshooting processes.

The invention relates to a house type matching method and device based on structured analysis, equipment and a storage medium. The method comprises the steps that deduplication processing is carried out on original house type data, a house type name set after deduplication is obtained, the house type name set is input into an analysis model according to the order number and the reference number of house type names, the structured analysis result of each house type is obtained, the structured analysis structure comprises a preset number of structured fields, and the structured fields are input into the house type name set according to the order number and the reference number of the house type names. And performing auditing operation on the structured analysis result of each room type, constructing a standard word library according to the auditing result, and performing matching between room type names from different sources according to the standard word library to obtain a matching result. According to the method, complex analysis can be prevented from being repeatedly executed on mass house type data, and the house type matching speed is remarkably increased.

Embodiments of the present specification disclose a service shunting method, device and equipment in a distributed system. The scheme comprises: obtaining a B2B type of withholding payment order set, the withholding payment indicating that the payee automatically deducts from the payer without the payer actively making a payment operation, and the B2B type indicating that the corresponding payee and payer are both B-end users; performing hash processing on the order number of each withholding payment order in the withholding payment order set, and determining a plurality of order sub-sets in the withholding payment order set according to the result of the hash processing; generating a corresponding virtual payer for each order sub-set; performing sharding processing on each withholding payment order according to the user number of the virtual payer, forming a plurality of service traffic shards, and routing to the corresponding distributed system node for continuous processing in order to complete the payment process.

A method and apparatus for reconciling electronic transactions facilitated by a commerce platform are described. The method may include receiving, the commerce platform, requests from a merchant system to authorize a plurality of financial transactions. The method may also include transmitting an authorization to the merchant system authorizing the merchant system to perform the financial transaction. The authorization may include a unique transaction identification (ID) corresponding to the request. The method may also include receiving from the merchant system, for each transaction ID, an order number associated with the transaction ID. The method may also include generating a settlement file comprising the transaction IDs. Each transaction ID may be arranged in an order in the settlement file according to its associated order number. The method may also include transmitting the settlement file to the merchant device.

The invention provides an order number data generation method and device and a readable storage medium, the order number data generation method is used for a server, the server comprises a cache database and a preset database, a first number segment is stored in the cache database, and the method comprises the steps of obtaining a receipt type in response to an order number data generation instruction sent by a client; according to the bill type, obtaining a bill number generation rule corresponding to the bill type; when a first value of a first number segment corresponding to the receipt type in the cache database is lost, a second number segment is obtained based on a preset database, the second number segment is stored in the cache database, and the multiple values of the second number segment are not repeated with the multiple values of the first number segment; based on the initial value of the second number segment, determining an order number progressive increase number; and on the basis of the order number incremental number, the document type and the order number generation rule, determining order number data, and sending the order number data to the client. And the same number segment in the preset database is only allocated to the cache database once, so that the uniqueness of the single number is realized.

This invention discloses a repeater work order management system and method. The system includes a CRM platform and a work order management platform. The CRM platform generates work orders and transmits work order information to the work order management platform. The work order information includes a work order number, customer mobile phone number, and customer address information. The work order management platform receives the work order information transmitted from the CRM platform, matches installation and maintenance personnel and notifies them to perform on-site installation, receives installation information uploaded by the installation and maintenance personnel, and returns work order completion progress information to the CRM platform. This invention achieves fully automated workflow from work order generation and allocation to completion, replacing inefficient manual offline scheduling. This invention can automatically and accurately match installation and maintenance personnel to the corresponding area based on customer address information, greatly shortening personnel deployment time.

The invention discloses a business demand data prediction method and device and a nonvolatile storage medium. The method comprises the following steps: obtaining historical work order data and historical environment data of a first level of a target service in a preset historical period, the historical work order data being a time sequence of a historical work order number, and the historical environment data being external environment data influencing a service demand of the target service; the first hierarchy is the highest hierarchy in a plurality of demand hierarchies of the target business; on the basis of the historical work order data and the historical environment data, the number of future work orders of the target business in multiple levels in a preset future period is predicted; and obtaining respective business demand prediction results of the plurality of levels based on the respective future work order numbers of the plurality of levels. According to the invention, the technical problem that the current prediction method depends on artificial experience judgment and subjective estimation and uses a simple statistical model or a single algorithm for prediction, resulting in large prediction result error is solved.

The application provides a method for providing an order number. In the technical scheme, a Redis server receives a first order number request message sent by a first user client, the first order number request message comprising an ID of the first user; the Redis server determines a target sub-database identifier corresponding to the first user ID according to a mapping relationship between the user ID and the sub-database identifier; the Redis server sends a second order number request message to a target Redis client, the second order number request message comprising the target sub-database identifier; the Redis server receives a target order number read by the target Redis client from a sub-database indicated by the target sub-database identifier; and the Redis server sends the target order number to the first user client after receiving the target order number. The technical scheme can improve the performance of the database and improve the access speed of the database.

The invention relates to the technical field of computer programs, in particular to a distributed order number generation rule engine method and system.The method comprises the steps that an order number generation request of a client side is received and analyzed, and a merchant identifier, a rule code and current time are obtained; based on the merchant identifier and the rule code, a corresponding order number generation rule is matched, and the order number generation rule comprises a prefix, a date format, a serial number length and a reset strategy; generating a globally unique serial number value through a dual-mode mechanism based on the serial number length, a reset strategy, a merchant identifier and a rule code; generating a date character string based on the date format and the current time; and splicing according to the prefix, the serial number value and the date character string to form a service order number. The configuration flexibility, service availability and multi-merchant data security of order number generation in a distributed environment are improved, global uniqueness and high performance in a concurrent scene are ensured, and the new generation order number generation rule engine has business adaptability and technical robustness.

The invention provides an engine assembly monitoring method and device, computer equipment and a storage medium. The engine assembly monitoring method comprises the steps that a target order number from target identification reading equipment is received; the engine assembly production line comprises a plurality of assembly stations of different assembly procedures, each assembly station is provided with a corresponding identification reading device, and each identification reading device is used for reading the order number of a to-be-assembled engine when a moving tray carrying the to-be-assembled engine reaches the corresponding assembly station; screening out a target virtual model matched with the target order number from a plurality of predefined virtual models; determining a first assembly station corresponding to the target identifier reading equipment; and moving the target virtual model to a first virtual position corresponding to the first assembly station in the virtual space. According to the invention, the engine assembly process can be monitored in the virtual space, so that the quality of the engine can be traced.

The application provides a production scheduling and dispatching method, which comprises the following steps: obtaining purchase order information, the purchase order information comprising at least two purchase order numbers and product types, product quantities and delivery dates corresponding to the purchase order numbers; obtaining sales order information based on the purchase order information, and splitting and issuing the sales order information, the sales order information comprising a plurality of sales orders, each sales order comprising a sales order number, a product quantity and a delivery date corresponding to each product type; obtaining inventory quantities corresponding to product types corresponding to each sales order, and determining whether the inventory quantities corresponding to the sales orders are less than the product quantities; collecting the sales orders with the inventory quantities less than the product quantities, and obtaining production cycle information corresponding to the product types corresponding to the sales orders; determining priorities of the sales orders based on the inventory quantities, the sales orders and the production cycle information; and scheduling and dispatching based on the priorities of the sales orders.

The invention provides an account checking data processing method and device, equipment and a medium, and the method comprises the steps: storing order data to an order library, storing bill data to a bill library, and enabling the order data and the bill data to comprise business side codes; encrypting order data needing to be exported in an order library and a business party code by using AES to obtain encrypted data; the encryption vector comprises a set character string and a business party code; the business party code corresponds to the order data; the order library sends the encrypted data and the order number to a bill library, the bill library inquires bill data according to the order number to obtain a corresponding business side code, a set character string and the business side code are combined to form an encryption vector, and the encrypted data are decrypted through the encryption vector to obtain decrypted data; and synchronizing the decrypted data to the bill library, thereby ensuring the safety and high efficiency of account checking data synchronization, and ensuring the normal operation of the server.

The invention provides a flexible employment intelligent order sending system based on big data, and belongs to the field of intelligent order sending. The problem of low order dispatching efficiency is solved; specifically, a data acquisition module acquires platform information; the demand analysis module is used for acquiring a historical order quantity of each platform, and constructing and calculating an order-time equation and an initial order quantity of each platform; the order distribution module obtains worker information; obtaining the current time and the current order number of each platform, distributing non-working workers for each platform for the first time in combination with the business types and working states of the workers and the order-time equation, and judging whether the workers are enough; if so, not processing; if not, additional orders are distributed to the working workers; the distribution updating module updates worker distribution of each platform; according to the invention, the related data of the platform and the workers are acquired, analyzed and processed, the workers are allocated to the platform, and the completion rate of orders is improved.