CN114219247A - Processing method and device of equipment consumables, computer equipment and storage medium - Google Patents
Processing method and device of equipment consumables, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a processing method and device of equipment consumables, computer equipment, a storage medium and a computer program product. The method comprises the following steps: receiving synchronous service flow data of a target merchant; predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the business flow data of the target merchant; when the allowance of the consumable items is determined to be smaller than a preset value according to the actual consumption, the replenishment quantity of the equipment consumable items required by the target merchant is predicted based on the historical business flow data; and generating a consumable product dispatch work order and indicating to process the consumable product dispatch work order according to the supplement amount of the equipment consumables. By adopting the method, the distribution efficiency of the equipment consumables can be improved.
Description
Technical Field
The present application relates to the field of big data analysis technologies, and in particular, to a method and an apparatus for processing equipment consumables, a computer device, a storage medium, and a computer program product.
Background
At present, a merchant needs to evaluate the consumption of consumables by himself, applies for the consumables through a telephone or a platform and the like according to an evaluation result, and needs to wait for maintenance personnel to dispatch the consumables to the merchant after applying for the consumables. During shipping, there may be a situation where the consumable is exhausted, causing some impact on the business of the merchant. For example, when the device is a cash register of a bank, and consumables of the cash register and consumables are determined and dispensed, the consumables can be distributed only by the bank according to a merchant application form, and the consumables of the device are determined and distributed very importantly when the merchant consumables do not accord with the actual transaction amount of the merchant.
At present, the consumption of the equipment can be determined only by the consumable used by the equipment in a manual mode, the residual quantity of the consumable of each equipment is determined according to the consumption, and the consumable is supplemented and distributed in time; wherein, the data of artifical affirmation consumptive material article are inaccurate to and can not in time acquire the real-time data of the consumptive material article consumption of individual equipment, lead to the dispatch inefficiency to the consumptive material article.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer-readable storage medium, and a computer program product for processing consumable items of equipment, which can improve the distribution efficiency of the consumable items of a bank machine.
In a first aspect, the present application provides a method for processing equipment consumables. The method comprises the following steps:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption;
and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In one embodiment, the predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data includes:
determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables of each business transaction processed by equipment;
and predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the unit quantity of the consumables.
In one embodiment, the determining the transaction number of the business transactions of the target merchant and the consumable unit amount of each business transaction processed by the device according to the business flow data includes:
determining the transaction type of the business transaction of the target merchant according to the business flow data;
and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
In one embodiment, before predicting the replenishment amount of equipment consumables required by the target merchant based on the historical business pipeline data, the method further comprises:
acquiring a time interval from last time of equipment consumable distribution;
when the time interval is larger than the average value of the historical time intervals, verifying the service flow data;
when the verification is passed, the step of predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data is executed.
In one embodiment, the predicting the replenishment amount of the equipment consumables required by the target merchant based on the historical business pipeline data includes:
determining periodic parameters of business transactions of the target merchant based on the historical business flow data;
determining a target periodic parameter currently corresponding to the target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and predicting the supplement amount of the equipment consumables required by the target merchant according to the target historical business pipelining data.
In one embodiment, the method further comprises:
generating the dispatching progress of the consumable product dispatching work order;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction, and prompting the dispatch terminal to process the consumable product dispatch work order.
In a second aspect, the application also provides a device for processing equipment consumables. The device comprises:
the receiving module is used for receiving the synchronous service flow data of the target merchant;
the first prediction module is used for predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
the second prediction module is used for predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the consumable balance is determined to be smaller than the preset value according to the actual consumption;
and the work order processing module is used for generating a consumable product distribution work order and indicating the consumable product distribution work order to be processed according to the supplement amount of the equipment consumables.
In one embodiment, the apparatus further comprises:
the first determining module is used for determining the transaction quantity of the business transaction of the target merchant according to the business flow data and determining the consumable unit quantity of each business transaction processed by the equipment;
the first prediction module is further used for predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
In one embodiment, the apparatus further comprises:
the classification module is used for determining the transaction type of the business transaction of the target merchant according to the business flow data;
the first determining module is further used for determining the transaction quantity corresponding to each transaction type according to the transaction types and determining the consumable unit quantity of each transaction type processed by the equipment.
In one embodiment, the apparatus further comprises:
the verification module is used for obtaining a time interval from the last time of distribution of the equipment consumables; and when the time interval is larger than the average value of the historical time intervals, verifying the service flow data.
In one embodiment, the apparatus further comprises:
the second determining module is used for determining the periodic parameters of the business transaction of the target merchant based on the historical business flow data;
determining a target periodic parameter currently corresponding to the target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and the second prediction module is also used for predicting the supplement amount of the equipment consumables required by the target merchant according to the target historical business pipelining data.
In one embodiment, the apparatus further comprises:
the progress processing module is used for generating the distribution progress of the consumable item distribution worksheet;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and the work order processing module is also used for acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction and prompting the dispatch terminal to process the consumable product dispatch work order.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption;
and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption;
and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption;
and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
The processing method, the device, the computer equipment, the storage medium and the computer program product of the equipment consumables can synchronize the business flow data of the target merchant in real time, predict the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the business flow data of the target merchant, avoid the defect of inaccurate data existing in manual confirmation, determine the current allowance according to the actual consumption, and automatically trigger and generate a consumable item dispatching work order when the current allowance is smaller than a preset value, so that the automatic dispatching of the equipment consumables is realized, the consumables are timely supplemented, and the equipment consumable dispatching efficiency is greatly improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary environment for processing consumables;
FIG. 2 is a flowchart illustrating a method for processing consumable parts of an apparatus according to an embodiment;
FIG. 3 is a schematic flowchart of a method for processing consumable parts of an apparatus according to another embodiment;
FIG. 4 is a schematic flowchart of a method for determining replenishment amount of consumable part of an apparatus according to an embodiment;
FIG. 5 is a block diagram showing the structure of an apparatus for processing a consumable part of an apparatus according to one embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The processing method of the equipment consumables provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The server receives service flow data synchronized by a terminal 102 where a target merchant is located; predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data; predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption; and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices. The terminal 102 is connected to the device in a communication manner, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for processing consumable items of equipment is provided, in this embodiment, the equipment is a cash register of a bank as an example, and the method is applied to the server in fig. 1 as an example for explanation, and includes the following steps:
The business flow data is generated when a target merchant and a transaction object perform business transaction, and comprises the transaction quantity of the business transaction of the target merchant and the transaction object and the transaction data of each business transaction; further, the transaction data includes transaction type, transaction time, transaction type and the like of the business transaction. The target merchant synchronous service flow data can be real-time or timing synchronous, for example, when the interval time length is reached, the service flow data of the merchant is synchronized to the server; the interval time can be n hours or n days.
Further, the server receives the original service flow data synchronized by the target merchant, performs data cleaning on the original service flow data, filters out repeated data, missing data, special character strings and the like in the data, obtains the service flow data, and ensures the accuracy of the service flow data. Wherein, integrated machines operation platform on server
And step 204, predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the service flow data of the target merchant.
The equipment consumables are consumables used by equipment, and consumables of different equipment are different in different fields; the device is a cash register, and the consumables used by the cash register may be, but are not limited to, cash register paper (e.g., thermal paper). Predicting the actual consumption of the cash register of the target merchant according to the number of the cash registers and the business flow data, which means determining the actual consumption of the cash registers according to the number of the cash registers and the business flow data of the cash registers in a specified time period, wherein the specified time period can be a week, a month, a quarter and the like, or can be determined according to the periodicity of business transactions, for example, before and after a time period corresponding to holidays and shopping festivals, the business transaction frequency and the transaction number of the target merchant and a transaction object are greater than the business transaction frequency and the transaction number in non-holidays and shopping festivals.
Specifically, the number of the cash registers of the target merchant is obtained by determining the type of the cash register used by the target merchant and the number of each type of cash register, business flow data of the target merchant in a specified time period is obtained, the transaction number of the target merchant in the specified time period is determined according to the business flow data, and the cash registers process each business transaction, consume a certain number of cash register consumables, and can be understood as unit amount of consumables; and predicting the actual consumption of the target merchant in the specified time period according to the prediction factors of the number of the cash registers of the target merchant, the transaction number in the specified time period and the unit consumable amount consumed by the cash registers in processing single transaction.
Further, the prediction mode can be that the weight calculation is carried out on the number of the equipment of the target merchant, the transaction number in a specified time period and the unit consumable amount consumed by the equipment in processing a single transaction; it can be understood that the product of the unit consumable quantity, the transaction quantity and the quantity of the equipment of the target merchant is calculated and then multiplied by a corresponding prediction coefficient, and the prediction coefficient is used for improving the accuracy of the actual consumption of the target merchant in a specified time period.
Further, when the actual consumption of the target merchant in a specified time period is predicted, the historical consumption of the target merchant is obtained, the actual consumption is verified, when the difference value between the historical consumption and the actual consumption is within a preset range, the actual consumption is determined to be normal, and otherwise, the actual consumption is determined to be abnormal.
In step 208, it is determined that the consumable balance meets the actual demand.
The consumable product allowance is larger than or equal to the preset value, and the consumable product allowance meets the actual requirement in the set time period and does not need to be replenished.
And step 210, predicting the replenishment quantity of the equipment consumables required by the target merchant based on the historical business flow data when the consumable remaining quantity is determined to be smaller than the preset value according to the actual consumption.
The consumable balance is determined by subtracting the actual consumption from the last balance and the last supplement through weighted calculation; the preset value is determined according to actual requirements, and the preset value can be obtained by determining the average consumption in the past n days and determining the total usage amount of m days according to the average consumption. Further, the preset value is to ensure that the cash register machine can be normally used within a preset time period.
The replenishment quantity is determined according to the historical consumption quantity of the corresponding time period in the historical service flow data, and can be determined according to the historical consumption quantity of the corresponding time period through average processing.
Specifically, the allowance of the consumable items is obtained by performing weighted calculation on the last allowance and the last replenishment quantity and then subtracting the actual consumption, and when the allowance of the consumable items is determined to be smaller than the preset value according to the actual consumption, the replenishment quantity of the equipment consumable items required by the target merchant is predicted based on the historical business flow data.
And 212, generating a consumable dispatching work order and instructing to process the consumable dispatching work order according to the supplement amount of the equipment consumables.
Specifically, when the actual consumption is detected to determine that the consumable balance is smaller than the preset value, the required replenishment quantity of the cash register consumables of the target merchant is predicted based on historical business flow data, a consumable dispatch worksheet is generated in a triggering mode, the consumable dispatch worksheet sending value dispatching terminal is used for indicating the dispatchers to process the consumable dispatch worksheet.
According to the processing method of the equipment consumables, the business flow data of the target merchant are synchronized in real time, the actual consumption of the consumables of the cash register of the target merchant is predicted according to the cash register number and the business flow data of the target merchant, the defect that manual confirmation is inaccurate in data is avoided, the current allowance is determined according to the actual consumption, when the current allowance is smaller than the preset value, a consumable item dispatching work order is automatically triggered and generated, automatic dispatching of the consumables of the cash register is achieved, consumables are supplemented timely, and the efficiency of dispatching the consumables of the cash register is greatly improved.
In another embodiment, as shown in fig. 3, a method for processing consumable items of equipment is provided, in this embodiment, the equipment is a cash register of a bank as an example, and the method is applied to the server in fig. 1 as an example for explanation, and includes the following steps:
And step 304, determining the transaction quantity of the business transactions of the target merchant according to the business flow data, and determining the consumable unit quantity of each business transaction processed by the equipment.
The device is a cash register, the transaction types include consumption and refund, and when the cash register processes consumption transactions and processes refund transactions, the length of the cash register printing consumption certificates and the length of the refund certificates are different, that is, the unit quantities of consumables for processing different types of business transactions are different.
Specifically, determining the transaction type of the business transaction of the target merchant according to the business flow data (wherein the business flow data comprises the transaction type of each business transaction); and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
And step 306, predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the unit quantity of the consumables.
Specifically, determining the transaction type of the business transaction of the target merchant according to the business flow data; determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of consumables processed by equipment for each transaction type; that is, the weight calculation is performed according to the equipment quantity, the transaction quantity and the consumable unit quantity corresponding to each transaction type, and the actual consumption of the equipment consumables of the target merchant is predicted.
In step 310, it is determined that the consumable balance meets the actual demand.
And step 312, predicting the replenishment quantity of the equipment consumables required by the target merchant based on the historical business flow data when the consumable remaining quantity is determined to be smaller than the preset value according to the actual consumption.
As shown in fig. 4, the method for determining the consumable replenishment amount of the device in one embodiment specifically includes the following steps:
The periodic parameter may be, among others, a week period, a month period, a quarter period, and an electricity merchant period (e.g., holiday, electricity merchant holiday).
Specifically, the periodicity parameter of the business transaction of the target merchant is determined according to the time point of each business transaction in the historical business flow data.
Specifically, the target periodic parameters corresponding to consumables needing to be supplemented are determined according to the periodic parameters of the business transaction of the target merchant.
And step 406, determining target historical business flow data corresponding to the target periodicity parameter from the historical business flow data.
And step 408, predicting the replenishment quantity of the equipment consumables required by the target merchant according to the target historical business pipelining data.
For example, the target periodic parameter is an e-commerce period, target historical business flow data corresponding to the target e-commerce period is determined from the historical business flow data, and the replenishment quantity of equipment consumables required by the target merchant is predicted according to the target historical business flow data.
In the method for supplementing the consumable items of the equipment, the periodic parameters of the business transaction of the target merchant are determined based on the historical business flow data; determining a target periodic parameter currently corresponding to a target merchant; determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data; the replenishment quantity of equipment consumables required by the target merchant is predicted according to the target historical business flow data, the replenishment quantity can be accurately determined according to the periodic parameters of business transactions of the target merchant, and waste of the consumables of bank machines is avoided.
Optionally, in one embodiment, before predicting the replenishment amount of the equipment consumables required by the target merchant based on the historical business flow data, acquiring a time interval from the last dispatch of the equipment consumables; when the time interval is larger than the average value of the historical time intervals, verifying the service flow data; and when the verification is passed, predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data. When the time interval is larger than the average value of the historical time interval, the business flow data is verified, the reliability of the data is ensured, the condition that the merchant consumables are inconsistent with the actual merchant transaction amount is avoided, and consumable use waste is easily caused.
And step 314, generating a consumable dispatching work order and instructing to process the consumable dispatching work order according to the supplement amount of the equipment consumables.
Specifically, according to the make-up volume of equipment consumptive material, generate the consumptive material and distribute the worksheet, examine and verify the consumptive material and distribute the worksheet, when examining and verifying the back, according to the region position at target merchant place, obtain the dispatch personnel that the region position corresponds, distribute the worksheet with the consumptive material to the dispatch personnel that correspond, distribute the consumptive material through the dispatch personnel.
And step 316, generating the dispatching progress of the consumable product dispatching work order.
The dispatching progress of the consumable product dispatching work order comprises nodes of creation, dispatching, auditing, closing and the like of the work order.
Specifically, according to the supplement amount of the equipment consumables, the consumable product dispatch worksheet is generated and the instruction is processed on the consumable product dispatch worksheet, the dispatching progress of the consumable product dispatch worksheet is generated, and the dispatching progress is synchronized to the terminal corresponding to the target merchant in real time, so that the target merchant can obtain the dispatching progress of the consumable product dispatch worksheet.
Optionally, in an embodiment, when the completion feedback of the dispatch progress is not received by the preset time, a work order progress follow-up instruction is generated; and acquiring the current processing progress of the consumable product distribution work order according to the work order progress follow-up instruction, and prompting the distribution terminal to process the consumable product distribution work order so as to supplement the merchant consumables in time.
Optionally, in an embodiment, when the feedback of completion of the consumable item dispatch work order is received within the preset time, the current remaining amount of the consumable item of the target merchant is updated according to the dispensing amount of the consumable item dispatch work order, so that the target merchant can obtain the dispatch progress in time.
The application scenario of the processing method of the equipment consumables is as follows, the equipment is a cash register, and an equipment operation and maintenance platform on the server receives the business flow data of the target commercial tenant synchronized with the transaction platform; determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables of each business transaction processed by the cash register; predicting the actual consumption of the consumables of the cash register of the target merchant according to the number of the cash registers, the transaction number and the unit quantity of the consumables; when the allowance of the consumable items is determined to be smaller than the preset value according to the actual consumption, the replenishment quantity of the consumable items of the cash register needed by the target merchant is predicted based on the historical business flow data; generating a consumable item distribution work order and instructing to process the consumable item distribution work order according to the supplement amount of the consumables of the cash register; generating the dispatching progress of the consumable item dispatching work order, and generating a work order progress follow-up instruction when the completion feedback of the dispatching progress is not received when the preset time is reached; and acquiring the current processing progress of the consumable product distribution work order according to the work order progress follow-up instruction, and prompting the distribution terminal to process the consumable product distribution work order so as to supplement the merchant consumables in time.
According to the processing method of the equipment consumables, the actual consumption of the equipment consumables of the target merchant is predicted according to the equipment quantity and the business flow data of the target merchant by synchronizing the business flow data of the target merchant in real time, the current allowance is determined according to the actual consumption, and when the current allowance is smaller than the preset value, the work order for distributing the consumables is automatically triggered and generated, so that the automatic distribution of the equipment consumables is realized, the consumables are supplemented in time, and the distribution efficiency of the equipment consumables is greatly improved.
It should be understood that, although the various steps in the flow chart according to the embodiments described above are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in the flow chart according to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the other steps.
Based on the same inventive concept, the embodiment of the application also provides a processing device of the equipment consumables, which is used for realizing the processing method of the equipment consumables. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the above method, so the specific limitations in the embodiment of the processing apparatus for one or more equipment consumables provided below may refer to the limitations on the processing method for the equipment consumables, and are not described herein again.
In one embodiment, as shown in fig. 5, there is provided an apparatus for processing equipment consumables, including: a receiving module 502, a first prediction module 504, a second prediction module 506, and a work order processing module 508, wherein:
a receiving module 502, configured to receive service flow data synchronized by a target merchant.
A first prediction module 504, configured to predict an actual consumption amount of the device consumables of the target merchant according to the device number of the target merchant and the business flow data.
And a second prediction module 506, configured to predict a replenishment amount of the equipment consumables required by the target merchant based on historical business flow data when it is determined that the remaining amount of the consumables is smaller than a preset value according to the actual consumption.
And the work order processing module 508 is used for generating a consumable item distribution work order and instructing to process the consumable item distribution work order according to the supplement amount of the equipment consumables.
The processing apparatus of above-mentioned equipment consumptive material, real-time synchronization target merchant's business water flow data, according to target merchant's equipment quantity and business water flow data, the actual consumption of the equipment consumptive material of prediction target merchant, avoid artifical the confirmed inaccurate defect of data that exists, and confirm current surplus according to actual consumption, when current surplus is less than the default, automatic trigger generates the consumptive material and dispatches the work order, the automatic dispatch of equipment consumptive material has been realized, the consumptive material has in time been supplemented, very big improvement the efficiency that equipment consumptive material was dispatched.
In another embodiment, a processing apparatus for an equipment consumable is provided, which comprises, in addition to the receiving module 502, the first predicting module 504, the second predicting module 506, and the work order processing module 508: the device comprises a first determining module, a classifying module, a verifying module, a second determining module and a progress processing module, wherein:
and the first determining module is used for determining the transaction quantity of the business transaction of the target merchant according to the business flow data and determining the consumable unit quantity of each business transaction processed by the equipment.
The first prediction module is further used for predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
And the classification module is used for determining the transaction type of the business transaction of the target merchant according to the business flow data.
The first determining module is further used for determining the transaction quantity corresponding to each transaction type according to the transaction types and determining the consumable unit quantity of each transaction type processed by the equipment.
The verification module is used for obtaining a time interval from the last time of distribution of the equipment consumables; and when the time interval is larger than the average value of the historical time intervals, verifying the service flow data.
The second determining module is used for determining the periodic parameters of the business transaction of the target merchant based on the historical business flow data;
determining a target periodic parameter currently corresponding to a target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
the second prediction module is also used for predicting the supplement amount of the equipment consumables required by the target merchant according to the target historical business pipelining data.
The progress processing module is used for generating the dispatching progress of the consumable item dispatching work order;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
the work order processing module is also used for acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction and prompting the dispatch terminal to process the consumable product dispatch work order.
The modules in the processing device of the equipment consumables can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing business flow data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of processing equipment consumables.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the business flow data of the target merchant;
when the allowance of the consumable items is determined to be smaller than a preset value according to the actual consumption, the replenishment quantity of the equipment consumable items required by the target merchant is predicted based on the historical business flow data;
and generating a consumable product dispatch work order and indicating to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables processed by equipment for each business transaction;
and predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining the transaction type of the business transaction of the target merchant according to the business flow data;
and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a time interval from last time of equipment consumable distribution;
when the time interval is larger than the average value of the historical time intervals, verifying the service flow data;
and when the verification is passed, executing a step of predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining periodic parameters of business transactions of a target merchant based on historical business flow data;
determining a target periodic parameter currently corresponding to a target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and predicting the replenishment quantity of the equipment consumables required by the target merchant according to the target historical business pipelining data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
generating the dispatching progress of the dispatching work order of the consumable items;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction, and prompting the dispatch terminal to process the consumable product dispatch work order.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the business flow data of the target merchant;
when the allowance of the consumable items is determined to be smaller than a preset value according to the actual consumption, the replenishment quantity of the equipment consumable items required by the target merchant is predicted based on the historical business flow data;
and generating a consumable product dispatch work order and indicating to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables processed by equipment for each business transaction;
and predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the transaction type of the business transaction of the target merchant according to the business flow data;
and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a time interval from last time of equipment consumable distribution;
when the time interval is larger than the average value of the historical time intervals, verifying the service flow data;
and when the verification is passed, executing a step of predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining periodic parameters of business transactions of a target merchant based on historical business flow data;
determining a target periodic parameter currently corresponding to a target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and predicting the replenishment quantity of the equipment consumables required by the target merchant according to the target historical business pipelining data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
generating the dispatching progress of the dispatching work order of the consumable items;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction, and prompting the dispatch terminal to process the consumable product dispatch work order.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity and the business flow data of the target merchant;
when the allowance of the consumable items is determined to be smaller than a preset value according to the actual consumption, the replenishment quantity of the equipment consumable items required by the target merchant is predicted based on the historical business flow data;
and generating a consumable product dispatch work order and indicating to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables processed by equipment for each business transaction;
and predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the transaction type of the business transaction of the target merchant according to the business flow data;
and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a time interval from last time of equipment consumable distribution;
when the time interval is larger than the average value of the historical time intervals, verifying the service flow data;
and when the verification is passed, executing a step of predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining periodic parameters of business transactions of a target merchant based on historical business flow data;
determining a target periodic parameter currently corresponding to a target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and predicting the replenishment quantity of the equipment consumables required by the target merchant according to the target historical business pipelining data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
generating the dispatching progress of the dispatching work order of the consumable items;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction, and prompting the dispatch terminal to process the consumable product dispatch work order.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the pipeline data in the method for implementing the embodiments described above may be implemented by hardware related to instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include pipeline data of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (15)
1. A method of processing equipment consumables, the method comprising:
receiving synchronous service flow data of a target merchant;
predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the allowance of the consumables is determined to be smaller than the preset value according to the actual consumption;
and generating a consumable product dispatch work order and instructing to process the consumable product dispatch work order according to the supplement amount of the equipment consumables.
2. The method according to claim 1, wherein the predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data comprises:
determining the transaction quantity of the business transaction of the target merchant according to the business flow data, and determining the unit quantity of consumables of each business transaction processed by equipment;
and predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the unit quantity of the consumables.
3. The method of claim 2, wherein determining the transaction amount of the business transactions of the target merchant and determining the consumable unit amount of each business transaction processed by the device according to the business pipeline data comprises:
determining the transaction type of the business transaction of the target merchant according to the business flow data;
and determining the transaction quantity corresponding to each transaction type according to the transaction types, and determining the unit quantity of the consumable materials processed by the equipment for each transaction type.
4. The method of claim 1, wherein prior to predicting the replenishment amount of equipment consumables required by the target merchant based on historical business pipeline data, the method further comprises:
acquiring a time interval from last time of equipment consumable distribution;
when the time interval is larger than the average value of the historical time intervals, verifying the service flow data;
when the verification is passed, the step of predicting the supplement amount of the equipment consumables required by the target merchant based on the historical business flow data is executed.
5. The method according to any one of claims 1 or 4, wherein predicting the replenishment amount of equipment consumables required by the target merchant based on historical business pipeline data comprises:
determining periodic parameters of business transactions of the target merchant based on the historical business flow data;
determining a target periodic parameter currently corresponding to the target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and predicting the supplement amount of the equipment consumables required by the target merchant according to the target historical business pipelining data.
6. The method of claim 1, further comprising:
generating the dispatching progress of the consumable product dispatching work order;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction, and prompting the dispatch terminal to process the consumable product dispatch work order.
7. An apparatus for processing equipment consumables, the apparatus comprising:
the receiving module is used for receiving the synchronous service flow data of the target merchant;
the first prediction module is used for predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity of the target merchant and the business flow data;
the second prediction module is used for predicting the replenishment quantity of the equipment consumables required by the target merchant based on historical business flow data when the consumable balance is determined to be smaller than the preset value according to the actual consumption;
and the work order processing module is used for generating a consumable product distribution work order and indicating the consumable product distribution work order to be processed according to the supplement amount of the equipment consumables.
8. The apparatus of claim 7, further comprising:
the first determining module is used for determining the transaction quantity of the business transaction of the target merchant according to the business flow data and determining the consumable unit quantity of each business transaction processed by the equipment;
the first prediction module is further used for predicting the actual consumption of the equipment consumables of the target merchant according to the equipment quantity, the transaction quantity and the consumable unit quantity.
9. The apparatus of claim 8, further comprising:
the classification module is used for determining the transaction type of the business transaction of the target merchant according to the business flow data;
the first determining module is further used for determining the transaction quantity corresponding to each transaction type according to the transaction types and determining the consumable unit quantity of each transaction type processed by the equipment.
10. The apparatus of claim 7, further comprising:
the verification module is used for obtaining a time interval from the last time of distribution of the equipment consumables; and when the time interval is larger than the average value of the historical time intervals, verifying the service flow data.
11. The apparatus of any one of claims 7 or 9, further comprising:
the second determining module is used for determining the periodic parameters of the business transaction of the target merchant based on the historical business flow data;
determining a target periodic parameter currently corresponding to the target merchant;
determining target historical service flow data corresponding to the target periodic parameters from the historical service flow data;
and the second prediction module is also used for predicting the supplement amount of the equipment consumables required by the target merchant according to the target historical business pipelining data.
12. The apparatus of claim 7, further comprising:
the progress processing module is used for generating the distribution progress of the consumable item distribution worksheet;
when the completion feedback of the dispatching progress is not received after the preset time length is reached, a work order progress follow-up instruction is generated;
and the work order processing module is also used for acquiring the current processing progress of the consumable product dispatch work order according to the work order progress follow-up instruction and prompting the dispatch terminal to process the consumable product dispatch work order.
13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
15. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115865986A (en) * | 2023-02-07 | 2023-03-28 | 成都秦川物联网科技股份有限公司 | Industrial Internet of things system for consumable material regulation and control method thereof |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112802587A (en) * | 2021-01-29 | 2021-05-14 | 广州易朋软件有限公司 | Medical consumable purchasing method and device, terminal equipment and storage medium |
CN113537879A (en) * | 2021-06-28 | 2021-10-22 | 深圳市盈捷创想科技有限公司 | Big data-based item distribution method and device and computer-readable storage medium |
-
2021
- 2021-12-02 CN CN202111467123.2A patent/CN114219247A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112802587A (en) * | 2021-01-29 | 2021-05-14 | 广州易朋软件有限公司 | Medical consumable purchasing method and device, terminal equipment and storage medium |
CN113537879A (en) * | 2021-06-28 | 2021-10-22 | 深圳市盈捷创想科技有限公司 | Big data-based item distribution method and device and computer-readable storage medium |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115865986A (en) * | 2023-02-07 | 2023-03-28 | 成都秦川物联网科技股份有限公司 | Industrial Internet of things system for consumable material regulation and control method thereof |
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