63 results about "Order number" patented technology

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 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.

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 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 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 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.

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 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.

The invention relates to a logistics information acquisition method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: obtaining logistics information of all orders, wherein the logistics information comprises a first logistics tracking number corresponding to an order number; extracting a second logistics tracking number in the express sheet corresponding to the first logistics tracking number; and adopting the second logistics tracking number to determine that the first logistics tracking number is a target logistics tracking number corresponding to the order number under the condition that the information verification of the first logistics tracking number is passed. The express sheet corresponding to the first logistics tracking number is obtained, the second logistics tracking number extracted from the express sheet is adopted to perform information verification on the first logistics tracking number, and the first logistics tracking number passing the information verification is used as the target logistics tracking number, so that the accurate target logistics tracking number can be obtained; and the accurate target logistics tracking number corresponds to the order number, so that accurate delivery and logistics tracking are facilitated.

To provide a delivery delay management device, method and program for analyzing the delivery delay of a supplier with a low task load.SOLUTION: The delivery date delay management device 100 includes an arrival input device 102c that creates arrival information including an arrival date, an arrival number, an arrival line number, a supplier, a commodity, the number of arrivals, an ordering number, and an ordering line number based on ordering information when a commodity arrives at a company, an automatic sales accounting device 102d that creates sales information including a sales number, a customer, a person in charge of sales, a sales date set as a scheduled delivery date, a commodity, the number of sales, a sales unit price, a sales amount, an ordering number, and a scheduled delivery date when the scheduled delivery date arrives in a case where an order-receiving classification in the order-receiving information is "direct delivery". This system is provided with a delivery date delay inquiry part 102e for outputting a reference result including the number of delay days and a delay rate for each supplier by referring to ordering date, order-receiving date, arrival date and sales date based on a sales entry part 102f for changing a sales date into an actual delivery date and an extraction condition including a designated supplier.SELECTED DRAWING: Figure 1

The application relates to the field of logistics, and discloses an order payment management method, device and equipment and a storage medium, which are used for managing unpaid orders and generating settlement report forms. The method comprises the following steps: acquiring corresponding order information based on the order number of an unpaid order, extracting the logistics state of the unpaid order, screening out the unpaid order in the logistics state of delivery, and marking the unpaid order as a to-be-handled order; acquiring the payment state and the express courier state information of the to-be-handled order at regular time intervals, inputting the order information and the express courier state information of the to-be-handled order into a trained multilayer perception machine model if the payment state of the to-be-handled order is unpaid, acquiring the reminding priority level and the reminding mode corresponding to the to-be-handled order output by the trained multilayer perception machine model, generating a reminding message, and pushing the reminding message to the express courier; and marking the to-be-handled order with the payment state of having been paid as a completed order to generate a settlement report form.

The invention discloses an order number intelligent distribution method and device for multiple types of service lines and a medium, and belongs to the technical field of order intelligent distribution, and the method comprises the steps: carrying out the calculation of a service pressure index of each service line through monitoring a plurality of service indexes in real time; according to the method, through a closed-loop mechanism of dynamic calculation of a pressure index of a multi-dimensional business index, entropy level mapping, number segment pool pre-generation and isolation, dynamic quota calculation, intelligent routing and operation quality monitoring, the accuracy, real-time performance and safety of resource allocation are realized, real-time data and historical data are fused, a priority correction mechanism is combined, and the resource allocation efficiency is improved. Strict matching between resource allocation and actual business requirements is ensured; through the differentiated design of the low-entropy pool, the medium-entropy pool and the high-entropy pool, the requirements of different service lines for orderliness and randomness are met, and meanwhile data isolation is guaranteed; based on the real-time adjustment of the resource state and the service priority, the resource overrun risk is eliminated.

The invention relates to the technical field of supply chain management, in particular to an intelligent order store dynamic switching method and system based on multi-dimensional decision. According to the intelligent order store dynamic switching method based on the multi-dimensional decision, inventory information of all stores is obtained in real time, a dynamically-changed store information list is formed by combining ID codes of all the stores, and a date range selector is set; initiating a batch application for a to-be-taken order, and generating a store change application form if the inventory of the store meets the demand of the to-be-taken order; if the consumer confirms to replace the store, entering the next step; and when the user modifies the store change application, the order number and the new store ID code after replacement are stored in the scordershop change table. According to the intelligent order store dynamic switching method based on the multi-dimensional decision, store change information can be transmitted to consumers in time, the user operation process is reduced, the operation efficiency is improved, and the user experience is optimized.

The invention relates to the technical field of computers, in particular to a dynamic bidirectional fragmentation method and system based on an order number embedded user identifier, and the method comprises the steps: configuring the total number of fragmentation, and converting a user ID into a reversible pseudo code through a dynamic offset algorithm; firstly, a 32-bit MD5 hash value is generated, all '0' characters in the hash value are replaced by random capital letters, a generated reversible pseudo code is inserted into the hash value according to a fixed bit sequence, a separator is added to the tail of the reversible pseudo code, and finally an order number is generated; performing fragment routing calculation on the user ID to obtain a target fragment index; according to the method, the storage position of the order can be accurately positioned by analyzing the order number, positioning separators from the order number, extracting reversible pseudo codes formed by characters in a fixed bit sequence, restoring the user ID through inverse operation, and executing fragment routing calculation through the user ID, so that the storage position of the order can be accurately positioned. Accurate and rapid query of orders is realized.

To effectively manage the outstanding stock of pharmaceutical orders. [Solution] The order backlog management device according to this embodiment includes a product master 106a in which a product code and an internal code for defining the identity of a product are registered in association, and an order backlog processing unit 102c which, in the order backlog data, sets the slip cancellation flag to "slip cancellation" for order numbers for which the set number of days for order backlog deletion has elapsed, and if the slip cancellation flag in the order backlog data is not "slip cancellation", clears the number of undelivered items calculated by subtracting the number of received items from the order backlog data using the number of purchased items, and sets the purchase completion flag to "purchase completion" when the number of undelivered items becomes 0.

The embodiment of the invention provides an equipment detection method and device, equipment and a storage medium, and relates to the field of Internet of Things. The method comprises the following steps: receiving an activation request which is sent by a first terminal and contains a target equipment identifier and a target work order number; determining an identifier of a first dealer corresponding to the target equipment identifier according to a corresponding relationship between the equipment identifier and the identifier of the dealer; determining a target installation work order recording the number of the target work order, and determining whether the identifier of the second dealer recorded in the target installation work order is consistent with the identifier of the first dealer; if yes, sending activation permission information to the first terminal; in response to updating the sales state of any device to a target sales state, generating an installation work order and a work order code corresponding to the device; and installing the equipment identifier of the work order recording equipment, and updating the sales state to the identifier of the second dealer in the target sales state. According to the embodiment of the invention, the association of sales and activation is realized, the traceability is high, and the commodity fleeing management cost is reduced.

The invention relates to the technical field of nameplate data management, in particular to a CPE nameplate data generation and management method, which comprises the following steps of: uniformly converting an IMEI (International Mobile Equipment Identity) field, an MAC (Media Access Control) address and a serial number into integers, and comparing the integers with a prefix character set bit by bit to establish bucket ciphertext mapping, so as to form a comparison baseline which can be directly positioned according to a bucket number and a field bit sequence; the uniqueness and level-to-level management precision of a data generation stage are improved, an uploading permission is generated through an index state and a preset condition and is bound with a batch number and an order number, addition and threshold judgment are executed in a ciphertext domain in combination with homomorphic encryption, the data exposure risk caused by plaintext expansion is avoided, coexistence of batch state calculation and high-strength security is realized, and the data processing efficiency is improved. The abnormal record is further identified through the isolated forest algorithm, the abnormal detection precision and the response speed are improved, the completeness of batch filing and the high efficiency of subsequent tracing are ensured, and the data security, the retrieval efficiency and the management controllability in a large-scale production scene are enhanced.

To reduce a load of progress management of a work in process when manufacturing a product by processing a material in a manufacturing process.SOLUTION: A daily report input means for inputting daily report data including a daily report number, a daily report line number, a process, a facility, a person in charge of work, a work date, a work date, a start time, and a completion time, and registering the daily report data in the storage area, and an inquiry means for outputting inquiry data including a commodity, a sales unit price, a process, a facility, a person in charge of work, a work date, a start time, and an end time for each piece of order detail data by referring to the order data and the daily report data registered in the storage area based on a designated extraction condition.SELECTED DRAWING: Figure 2

The invention discloses an online customer service intelligent order transfer distribution method and system for a BOSS system, and relates to the technical field of customer service, and the key points of the technical scheme comprise the following steps: obtaining all consultation orders of online customer service in the BOSS system, carrying out statistics on all consultation orders according to order numbers of different business types and historical consultation data of clients to obtain a business statistics result set; screening out orders with abnormal business types and quantity from the business statistical result set, marking the orders as target orders, screening out orders associated with the target orders from all consultation orders according to the target orders, and marking the orders as a pre-processing associated order set; performing difference statistics on a first statistical result and a second statistical result in the business statistical result set to obtain first association difference data, and extracting a first target association order from the pre-processing association order set according to the first association difference data; the method has the effect that the accuracy of order distribution is improved to a great extent.

The embodiment of the invention provides a workpiece quality detection method and device, equipment and a storage medium, and the method comprises the steps: obtaining a command number of a target workpiece, and carrying out the validity verification of the command number; when the validity verification is passed, obtaining target detection data of the target workpiece, obtaining a quality detection model associated with the order number, inputting the target detection data into the quality detection model for quality detection, and obtaining a quality detection result of the target workpiece; and when the quality detection result indicates that the quality of the target workpiece is abnormal, generating feedback information according to the quality detection result, and displaying the feedback information. According to the embodiment of the invention, the accuracy and timeliness of quality detection can be improved.