23 results about "Order number" patented technology

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 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.

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 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 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.

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.

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 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.

This invention relates to the field of reconciliation technology, and discloses a method, apparatus, device, and computer-readable storage medium for generating reconciliation results. In this embodiment, the invention obtains a transaction order generated by a trading platform based on a merchant's transaction request. The transaction order includes a merchant order number, transaction amount, and transaction serial number. Then, the transaction environment is determined based on the prefix, type, and transaction amount of the merchant order number. Finally, a reconciliation result is generated based on the transaction environment and the transaction serial number. By first obtaining the transaction order from the trading platform based on the transaction request, and then determining the transaction environment based on the prefix, type, and transaction amount of the merchant order number, the invention combines the coordinated design of these three mechanisms—order number prefix, order number type, and amount—to accurately determine the transaction environment corresponding to the transaction request. This avoids transaction data confusion and improves reconciliation efficiency and accuracy.

The application discloses an order number driving-based intelligent photographing light box automatic shooting system and relates to the technical field of automatic shooting image communication.The order number driving-based intelligent photographing light box automatic shooting system comprises a double-node transmission flow direction characteristic monitoring module, a double-node transmission strategy effect monitoring module and an image transmission efficiency monitoring module.Through double-node transmission flow direction characteristic analysis, the application determines whether to adopt a double-node transmission flow direction strategy based on the double-node transmission flow direction characteristic analysis result, determines whether to adopt link bandwidth dynamic adjustment based on the double-node transmission flow direction strategy effect checking result, and finally determines whether to adopt image transmission efficiency optimization based on the image data transmission efficiency evaluation result, so that the image data transmission timeliness is improved, and the problem of low timeliness of the intelligent photographing light box automatic shooting in the prior art is solved.

The invention discloses an order prediction method and system based on a big data model, and the method comprises the steps: responding to the reception of an order prediction instruction, scanning a historical logistics bill of an express item in real time, obtaining a corresponding historical logistics bill image, and carrying out the feature extraction of the historical logistics bill image, and obtaining feature information; calculating client semantic vectors corresponding to the client data and product semantic vectors corresponding to the product data; constructing logistics key value pairs respectively corresponding to the historical logistics sheet images; training a preset order prediction model to obtain an optimal order prediction model; in response to a current logistics order input by a user, obtaining a corresponding current logistics order image, inputting the current logistics order image into the order prediction model, and outputting a logistics key value pair corresponding to the current logistics order image; and analyzing the logistics key value pair of the current logistics bill image, predicting to obtain customer information and product information at a preset time point, and endowing order numbers corresponding to the predicted customer information and product information.

The invention provides a data processing method and device and related equipment, and the method comprises the steps: obtaining an order processing request for an order, and the order processing request is used for indicating the storage or query of order information of the order in a first system; based on the order processing request, a first order number of the order in the first system is obtained, the first order number is generated based on a second order number of the order in a second system, the first order number comprises a first sequence, a second sequence and a third sequence, the first sequence is related to a hash value of the second order number, and the third sequence is related to a hash value of the second order number; the second sequence is related to a timestamp generated by the order, and the third sequence is related to an order self-increasing sequence of the first system; and performing association processing on the first order number and the order information based on the first order number and the order processing request.

The invention relates to the field of logistics automation and storage control, and discloses an order clustering and sorting sequence optimization method for a goods-to-person sorting system. According to the method, order detail data containing order numbers and SKU numbers are acquired according to wave order, an SKU complete set is constructed, orders are mapped into binary feature vectors, and order similarity is measured by adopting cosine distance; determining a clustering cluster number under the constraint of order position parallel capacity, initializing a clustering center by adopting K-means + +, and then optimizing the clustering center by using an in-cluster dispersion objective function in combination with a particle swarm optimization algorithm to obtain an order clustering grouping result; and further calculating the similarity between the cluster center vector and the inter-cluster cosine, constructing a cluster access sequence according to a greedy iteration rule, taking the cluster access sequence as a sorting task issuing sequence, and generating an order bit task queue to be executed by a system. According to the invention, joint optimization of order grouping and execution sequence is realized, the parallel utilization rate of order positions is improved, and the switching burden of sorting positions is reduced.

The invention discloses a novel hybrid precision convolution multiplier-adder, and belongs to the technical field of artificial intelligence chip design and deep learning acceleration. The multiplier and adder supports two core data formats of INT16 and FP16, and efficient sharing of integer and floating point multiplication and addition resources is realized by improving a floating point number operation method. The core of the method is to deform a traditional FP16 floating-point number representation method, so that a 16-bit * 16-bit integer multiplier can be used in the calculation process of the method, and meanwhile, a multi-stage calculation architecture (including modules such as MTS calculation, product and maximum order code solution, symbol processing and shifting, adder tree summation and the like) is adopted, so that delay caused by multiple alignment of order codes is reduced. According to the design, multiplier and adder tree resources are multiplexed, on the premise that the accuracy loss is controllable, hardware resource redundancy and operation complexity are reduced, the advantage of comprehensive performance is more remarkable along with increase of the order number of the multiplier and adder, and the method is suitable for efficient acceleration scenes of deep learning convolution operation.

According to the purchase order automatic generation and warehouse management method provided by the invention, through multi-stage linkage of product model analysis, BOM matching, supplier matching, order generation and material warehouse management, full-process automation from model analysis to material warehouse is realized. According to the invention, from purchasing order placing to the material warehouse, warehousing personnel can call order data according to order numbers, manual input is avoided, upstream and downstream data are communicated, and one-stop data transmission is realized. According to the one-stop purchasing and warehouse management method and system, automatic generation of the purchasing order is realized through the preset product model and the raw material matching rule, and seamless connection with the warehousing system is realized. By establishing the preset matching rule base of the product models and the raw materials / components, the system can automatically generate the purchase order, and the time-consuming steps of manual raw material selection, inventory checking, purchase order creation and the like in a traditional mode are eliminated.

The invention discloses a take-out data security protection method and system. The system comprises a take-out platform module, a merchant module, a rider module, a user module and an acquisition module. And establishing a vertical alliance chain network and a horizontal alliance chain network, accessing the take-out platform modules, the merchant modules and the rider modules into the vertical alliance chain network, and accessing two or more take-out platform modules into the horizontal alliance chain network. In the vertical alliance chain network, the user personal information in the take-out platform module is encrypted by using an RSA + AES hybrid encryption algorithm, and a merchant and / or a rider needs to obtain the user personal information according to the order number and order time of the user as a decryption mode. In a horizontal alliance chain, a W-K mean value clustering analysis method is utilized to obtain user take-out dish preference, a take-out recommendation model is trained in combination with a secure multi-party calculation method, and training order data of each take-out platform is encrypted by utilizing a U-A5 stream cryptographic algorithm to ensure that the data is kept in an encrypted state in a transmission process.

The application discloses a kind of forecast batch order management method and device, by receiving forecast batch order import instruction, according to the platform information of forecast order and order number information, after matching to order in system, based on the batch number information of whole, the process monitoring information of the forecast batch of creation, so that the quantity state of the forecast order of this forecast batch in each preset process node and total waybill number can be clearly and intuitively displayed, solve the technical problems that BC direct mail import order is difficult to carry out batch management, cannot monitor forecast batch process state.