CN110782324B - Electronic commerce commodity information management method and system based on cloud platform - Google Patents
Electronic commerce commodity information management method and system based on cloud platform Download PDFInfo
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Abstract
The invention discloses an electronic commerce commodity information management method and system based on a cloud platform, wherein the method comprises the following steps: e1: the commodity storage ratio and the actual quality guarantee ratio are determined by analyzing and calculating the commodity type data, the commodity quantity data, the commodity sales data, the quality guarantee period data, the storage time data, the order output time data, the order placing commodity data, the order placing time data, the temperature data, the air humidity data and the monitoring time data through the commodity analysis module, so that the storage of the commodities is guaranteed, meanwhile, the specific time of the quality guarantee period of the commodities is accurate, and the safety guarantee of related numerical values is increased.
Description
Technical Field
The invention relates to the technical field of electronic commerce information management, in particular to an electronic commerce commodity information management method and system based on a cloud platform.
Background
The electronic commerce refers to the commerce activity which takes the information network technology as a means and takes commodity exchange as a center; the method can also be understood as the transaction activities and related service activities performed in an electronic transaction mode on the Internet, an intranet and a value-added network, and is electronization, networking and informatization of each link of the traditional commercial activities; the commercial behaviors using the internet as a medium all belong to the category of electronic commerce.
The existing patent application publication No. CN110084672A is a cloud platform-based electronic commerce commodity information management method, which is to establish a commodity container, i.e. to display commodity information on the commodity container according to the commodity characteristics to be loaded, so as to provide convenience for commodity sellers, to search commodities when there is a demand, to search the commodities after obtaining the commodity search keywords, to search the commodities in a commodity characteristic library according to the search keywords, to sort the search results according to the sort dimension according to the sort request, and to feed back the search results to commodity demanders, so as to provide the required commodities quickly and conveniently according to the actual demands of the demanders, and to sort the commodities according to the actual demands, thereby further enhancing the convenience of the sort, but the cloud platform-based electronic commerce commodity information management method, real-time performance and accuracy of inventory and quality of commodities cannot be guaranteed, meanwhile, analysis of the states of the commodities is not accurate enough, adjustment of stored commodities is not comprehensive enough, and therefore an electronic commerce commodity information management method and system based on a cloud platform are provided.
Disclosure of Invention
The invention aims to perform information processing operation on commodity variety data, commodity quantity data, commodity sales data, shelf life data, storage time data and order output time data through an information acquisition module to obtain ZLI, SLi, XLI, BZi, CCi, CDi, XDi and XSi, monitor time data, temperature data and air humidity data through a monitoring module, analyze the data with data stored in a database through a commodity analysis module to obtain corresponding investigation data, compare and judge actual shelf life ratio and commodity storage ratio through a feedback processing module, set different identification calibrations on harmful commodities and non-harmful commodities, and perform rapid calibration identification and execute commands to implement corresponding measures.
The technical problem to be solved by the invention is as follows:
(1) how to acquire commodity information and order information through an information acquisition module and respectively transmit the commodity information and the order information to an information processing module and a database, so that the database stores commodities in a classified manner according to the variety data of the commodities, and the information processing module marks the commodity information and the order information, thereby solving the problem that the prior art is difficult to realize that the stored data does not have real-time performance and accuracy;
(2) the problem that the storage and quality guarantee period of commodities are difficult to achieve accurately in the prior art is solved by analyzing and calculating commodity type data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order output time data, order placing commodity data, order placing time data, temperature data, air humidity data and monitoring time data through a commodity analysis module;
(3) how to convert serious goods shortage signals, stock abundant signals, quality guarantee safety signals, quality guarantee warning signals, preferentially recommended commodities, removed commodities and secondary selected commodities into commands in sequence through a feedback processing module so as to solve the problem that precise judgment and adjustment of the commodities are difficult to realize in the prior art.
The purpose of the invention can be realized by the following technical scheme: an e-commerce commodity information management method based on a cloud platform comprises the following steps:
e1: the method comprises the steps that commodity information and order information are collected through an information collection module and are respectively transmitted to an information processing module and a database, the database stores commodities in a classified mode according to the variety data of the commodities, quantity data of the commodities are updated and stored within a preset time period, and the information processing module marks the commodity information and the order information and transmits the commodity information to a commodity analysis module;
e2: the monitoring module automatically acquires monitoring time data, temperature data and air humidity data of a monitoring time point and transmits the monitoring time data, the temperature data and the air humidity data to the commodity analysis module, the commodity analysis module performs commodity analysis operation on the monitoring time data, the commodity information and the order information, analyzes and calculates a commodity storage ratio and an actual quality guarantee ratio, and transmits the commodity storage ratio and the actual quality guarantee ratio to the feedback processing module;
e3: the feedback processing module judges the actual quality guarantee ratio and the commodity storage ratio so as to judge the storage quantity of the commodity and the quality guarantee problem of the commodity and generate corresponding signals at the same time;
e4: and the data management module converts the corresponding signals into commands to execute.
An electronic commerce commodity information management system based on a cloud platform comprises an information acquisition module, a controller, an information processing module, a commodity analysis module, a monitoring module, a database, a feedback processing module and a data management module;
the information acquisition module is used for acquiring commodity information and order information in real time, the commodity information comprises commodity type data, commodity quantity data, commodity sales data, quality guarantee period data and time data, the time data comprises storage time data and order-taking time data, the order information comprises order-taking commodity data and order-taking time data, the order-taking commodity data and the order-taking time data are respectively transmitted to the information processing module and the database, and the database stores commodities in a classified mode according to the commodity type data;
the information processing module is used for carrying out information processing operation on the commodity type data, the commodity quantity data, the commodity sales data, the quality guarantee period data, the storage time data and the order output time data, and the specific operation process of the information processing operation is as follows: the method comprises the following steps of obtaining commodity category data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order issuing time data, order placing commodity data and order placing time data, and sequentially marking the data as: ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi, i being 1,2,3.. n, and ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi corresponding one to one and transmitted to the commodity analysis module through the controller;
the monitoring module is used for monitoring the storage condition of the commodity in real time and automatically acquiring monitoring time data of a monitoring time point, and is also used for monitoring temperature data and air humidity data of a storage environment in real time and transmitting the data and the detection time data to the analysis module;
the commodity analysis module is used for carrying out commodity analysis operation on commodity type data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order output time data, order placing commodity data, order placing time data, temperature data, air humidity data and monitoring time data to obtain an actual quality guarantee ratio and a commodity storage ratio, and transmitting the actual quality guarantee ratio and the commodity storage ratio to the feedback processing module;
the feedback processing module is used for carrying out data feedback operation on the actual quality guarantee ratio and the commodity storage ratio to obtain a serious out-of-stock signal, an out-of-stock signal, a stock abundant signal, a quality guarantee safety signal, a quality guarantee warning signal, a preferentially recommended commodity, a removed commodity and a selected commodity and transmitting the signals to the data management module;
the data management module is used for converting a severe shortage signal, a shortage signal, an inventory abundant signal, an inventory safe signal, an inventory quality warning signal, a preferentially recommended commodity, a commodity clearing and secondary commodity selection into a severe shortage command, a shortage command, an inventory abundant command, an inventory quality safe command, an inventory quality warning command, a preferentially recommended commodity command, a commodity clearing command and a secondary commodity selection command, and transmitting the commands to the execution unit;
the execution unit executes commands according to the execution unit.
As a further improvement of the invention: the specific operation process of the commodity analysis operation is as follows:
s1: obtaining ordering commodity data and ordering time data, comparing the ordering commodity data with commodity type data in a database, judging that the commodity does not exist when any commodity in the commodity type data is inconsistent with the ordering commodity data, judging that the commodity has stock when any commodity in the commodity type data is consistent with the ordering commodity data, and generating an invoking signal, wherein the specific comparison and identification method comprises the following steps: respectively setting identification codes for the order commodity data and the commodity category data, and judging whether the code of the order commodity belongs to the code set of the commodity category data;
s2: acquiring the calling signal, inputting order placing time data, comparing the order placing time data with order placing time data, judging that the commodity has not been sold and recorded when any time period in the order placing time data is not matched with the order placing time data, and judging that the commodity has been sold and recorded when the order placing time data is matched with one order placing time data in the order placing time data, and calling the order placing time commodity sales data;
s3: obtaining commodity quantity data and commodity sales data of the ordering time, substituting the commodity quantity data and the commodity sales data into a calculation formula A ═ SLi-XLi, obtaining residual commodity data A, and comparing the residual commodity data A with the quotientProduct quantity data is brought into calculation formula
Wherein V1 is expressed as a commodity storage ratio value, and 1.024 is expressed as a storage reservation factor;
s4: acquiring monitoring time data and quality guarantee period data, comparing the quality guarantee period data with the difference value of the monitoring time data and the storage time data, directly processing the commodity without analyzing the commodity when the quality guarantee period data is smaller than the difference value of the monitoring time data and the storage time data, and bringing the monitoring time data, the quality guarantee period data and the storage time data into a calculation formula together when the quality guarantee period data is larger than the difference value of the monitoring time data and the storage time data
Obtaining the theoretical quality guarantee ratio MTheory of thingsWherein JSv is expressed as detection time data, v ═ 1,2,3.. l;
s5: acquiring temperature data, air humidity data and the theoretical quality guarantee ratio M in the S4Theory of thingsAnd the temperature data and the air humidity data are labeled WDc and KQc in turn, c 1,2,3
Obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryWherein, 0.137, 0.156 and u are the temperature influence factor, the air humidity influence factor and the conversion factor value respectively, wherein, a period of time refers to the time length from the storage time data to the monitoring time data, and the period of time and the commodity storage ratio are transmitted to the feedback processing module together.
As a further improvement of the invention: the specific operation process of the data feedback operation is as follows:
k1: acquiring a commodity storage ratio V1, comparing the commodity storage ratio with Q, judging that the stock of the commodity is seriously insufficient when V1 is less than Q, generating a serious shortage signal, judging that the stock of the commodity is insufficient when V1 belongs to Q, generating a shortage signal, judging that the stock of the commodity is still remained when V1 is more than Q, and generating a stock abundant signal, wherein Q is a preset value range of the stock quantity;
k2: obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryAnd comparing it with G when M isFruit of Chinese wolfberryIf the quality guarantee period is more than G, the quality guarantee period of the commodity is judged to be sufficient, a signal of sufficient quality guarantee is generated, and when M is more than G, the quality guarantee period is judged to be sufficientFruit of Chinese wolfberry∈ G, judging that the commodity is still in the shelf life, generating a shelf life safety signal when M isFruit of Chinese wolfberryIf < G, the commodity is judged not to be in the safe range of the quality guarantee period, a quality guarantee warning signal is generated, and MFruit of Chinese wolfberry＞G、MFruit of Chinese wolfberry∈ G and MFruit of Chinese wolfberryThe premise for implementation of < G is: mean temperature
Wherein G is the preset value range of the quality ratio,
is average temperature data, and Y is a safe range value of the average temperature;
k3: acquiring the quality guarantee abundant signal, the quality guarantee safety signal and the quality guarantee warning signal in the K2, calibrating the identification codes of the signals, screening and setting the signals, identifying the quality guarantee warning signal and the corresponding commodity, setting the commodity as a removed commodity, identifying the quality guarantee safety signal, calibrating the identification codes of the signals, setting the signals as a preferred recommended commodity, identifying the quality guarantee abundant signal, calibrating the identification codes of the signals, and setting the signals as a secondary commodity;
k4: and acquiring the serious goods shortage signal, the stock abundant signal, the quality guarantee safety signal, the quality guarantee warning signal, the preferentially recommended commodity, the removed commodity and the selected commodity, and transmitting the signals to the data management module.
The invention has the beneficial effects that:
(1) the information acquisition module is used for acquiring commodity information and order information in real time, the commodity information comprises commodity type data, commodity quantity data, commodity sales volume data, quality guarantee period data and time data, the time data comprises storage time data and order output time data, the order information comprises order commodity data and order output time data, the order commodity data and the order output time data are respectively transmitted to the information processing module and the database, the database classifies and stores commodities according to the commodity type data, the information processing module is used for carrying out information processing operation on the commodity type data, the commodity quantity data, the commodity sales volume data, the quality guarantee period data, the storage time data and the order output time data to obtain ZLI, SLi, XLI, BZi, CCi, CDi, XDi and XSi, the information is transmitted to the commodity analysis module through the controller, and the commodity information and the order information are acquired through the information acquisition module, the commodity quantity data are respectively transmitted to the information processing module and the database, the database stores commodities in a classified mode according to the commodity type data, the quantity data of the commodities are updated and stored within a preset time period, the information processing module marks commodity information and order information, real-time performance and accuracy of the data are improved, rapid extraction and use of the data information are facilitated, and working efficiency is improved.
(2) The monitoring module is used for monitoring the storage condition of the commodity in real time and automatically acquiring monitoring time data of a monitoring time point, the monitoring module is also used for monitoring temperature data and air humidity data of a storage environment in real time and transmitting the data and the detection time data to the analysis module, the commodity analysis module is used for carrying out commodity analysis operation on commodity type data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order output commodity data, order output time data, temperature data, air humidity data and monitoring time data, and the commodity analysis module is used for carrying out analysis calculation on the commodity type data, the commodity quantity data, the commodity sales data, the quality guarantee period data, the storage time data, the order output commodity data, the order output time data, the temperature data, the air humidity data and the monitoring time data, therefore, specific values of the commodity storage ratio and the actual quality guarantee ratio are determined, the storage of the commodity is guaranteed, the specific time of the commodity quality guarantee period is accurate, and the safety guarantee of related values is increased.
(3) The feedback processing module is used for carrying out data feedback operation on the actual quality guarantee ratio and the commodity storage ratio, the data management module is used for converting the serious shortage signal, the stock abundant signal, the quality guarantee safety signal, the quality guarantee warning signal, the preferentially recommended commodity, the commodity removing command and the less selected commodity into a serious shortage command, a stock abundant command, a quality guarantee safety command, a quality guarantee warning command, a preferentially recommended commodity command, a commodity removing command and a less selected commodity command and transmitting the serious shortage command, the shortage signal, the stock abundant signal, the quality guarantee safety signal, the quality guarantee warning signal, the preferentially recommended commodity, the commodity removing command and the less selected commodity to the execution unit through the feedback processing module according to the execution command of the execution unit, the commands are sequentially converted into commands, so that the adjustment and modification of information management are facilitated, and the integrity of information is increased.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a method for managing information of an e-commerce commodity based on a cloud platform, the method including the steps of:
e1: the method comprises the steps that commodity information and order information are collected through an information collection module and are respectively transmitted to an information processing module and a database, the database stores commodities in a classified mode according to the variety data of the commodities, quantity data of the commodities are updated and stored within a preset time period, and the information processing module marks the commodity information and the order information and transmits the commodity information to a commodity analysis module;
e2: the monitoring module automatically acquires monitoring time data, temperature data and air humidity data of a monitoring time point and transmits the monitoring time data, the temperature data and the air humidity data to the commodity analysis module, the commodity analysis module performs commodity analysis operation on the monitoring time data, the commodity information and the order information, analyzes and calculates a commodity storage ratio and an actual quality guarantee ratio, and transmits the commodity storage ratio and the actual quality guarantee ratio to the feedback processing module;
e3: the feedback processing module judges the actual quality guarantee ratio and the commodity storage ratio so as to judge the storage quantity of the commodity and the quality guarantee problem of the commodity and generate corresponding signals at the same time;
e4: the data management module converts the corresponding signals into commands to be executed;
an electronic commerce commodity information management system based on a cloud platform comprises an information acquisition module, a controller, an information processing module, a commodity analysis module, a monitoring module, a database, a feedback processing module and a data management module;
the information acquisition module is used for acquiring commodity information and order information in real time, wherein the commodity information comprises commodity type data, commodity quantity data, commodity sales volume data, quality guarantee period data and time data, the time data comprises storage time data and order-taking time data, the order information comprises order-taking commodity data and order-taking time data, the order-taking commodity is a commodity required to be purchased by a customer for making an order and is respectively transmitted to the information processing module and the database, the database stores the commodity in a classified mode according to the commodity type data, and when the commodity is taken out or moved each time, the quantity data of the commodity is updated and the order-taking time data is recorded;
the information processing module is used for carrying out information processing operation on the commodity type data, the commodity quantity data, the commodity sales data, the quality guarantee period data, the storage time data and the order output time data, and the specific operation process of the information processing operation is as follows: the method comprises the following steps of obtaining commodity category data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order issuing time data, order placing commodity data and order placing time data, and sequentially marking the data as: ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi, i being 1,2,3.. n, and ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi corresponding one to one and transmitted to the commodity analysis module through the controller;
the monitoring module is used for monitoring the storage condition of the commodity in real time and automatically acquiring monitoring time data of a monitoring time point, and is also used for monitoring temperature data and air humidity data of a storage environment in real time and transmitting the data and the detection time data to the analysis module;
the commodity analysis module is used for carrying out commodity analysis operation on commodity category data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order-issuing commodity data, order-issuing time data, temperature data, air humidity data and monitoring time data, and the specific operation process of the commodity analysis operation is as follows:
s1: obtaining ordering commodity data and ordering time data, comparing the ordering commodity data with commodity type data in a database, judging that the commodity does not exist when any commodity in the commodity type data is inconsistent with the ordering commodity data, judging that the commodity has stock when any commodity in the commodity type data is consistent with the ordering commodity data, and generating an invoking signal, wherein the specific comparison and identification method comprises the following steps: respectively setting identification codes for the order commodity data and the commodity category data, and judging whether the code of the order commodity belongs to the code set of the commodity category data;
s2: acquiring the calling signal, inputting order placing time data, comparing the order placing time data with order placing time data, judging that the commodity has not been sold and recorded when any time period in the order placing time data is not matched with the order placing time data, and judging that the commodity has been sold and recorded when the order placing time data is matched with one order placing time data in the order placing time data, and calling the order placing time commodity sales data;
s3: obtaining commodity quantity data and commodity sales data of the ordering time, substituting the commodity quantity data and the commodity sales data into a calculation formula A ═ SLi-XLi, obtaining residual commodity data A, and substituting the residual commodity data A and the commodity quantity data into the calculation formula
Wherein V1 is expressed as a commodity storage ratio value, and 1.024 is expressed as a storage reservation factor;
s4: acquiring monitoring time data and quality guarantee period data, comparing the quality guarantee period data with the difference value of the monitoring time data and the storage time data, directly processing the commodity without analyzing the commodity when the quality guarantee period data is smaller than the difference value of the monitoring time data and the storage time data, and bringing the monitoring time data, the quality guarantee period data and the storage time data into a calculation formula together when the quality guarantee period data is larger than the difference value of the monitoring time data and the storage time data
Obtaining the theoretical quality guarantee ratio MTheory of thingsWherein JSv is expressed as detection time data, v ═ 1,2,3.. l;
s5: acquiring temperature data, air humidity data and the theoretical quality guarantee ratio M in the S4Theory of thingsAnd the temperature data and the air humidity data are labeled WDc and KQc in turn, c 1,2,3
Obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryWherein, 0.137, 0.156 and u are respectively a temperature influence factor, an air humidity influence factor and a conversion factor value, wherein, a period of time refers to the time length from the storage time data to the monitoring time data, and the time length and the commodity storage ratio are transmitted to the feedback processing module together;
the feedback processing module is used for performing data feedback operation on the actual quality guarantee ratio and the commodity storage ratio, and the specific operation process of the data feedback operation is as follows:
k1: acquiring a commodity storage ratio V1, comparing the commodity storage ratio with Q, judging that the stock of the commodity is seriously insufficient when V1 is less than Q, generating a serious shortage signal, judging that the stock of the commodity is insufficient when V1 belongs to Q, generating a shortage signal, judging that the stock of the commodity is still remained when V1 is more than Q, and generating a stock abundant signal, wherein Q is a preset value range of the stock quantity;
k2: obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryAnd comparing it with G when M isFruit of Chinese wolfberryIf the quality guarantee period is more than G, the quality guarantee period of the commodity is judged to be sufficient, a signal of sufficient quality guarantee is generated, and when M is more than G, the quality guarantee period is judged to be sufficientFruit of Chinese wolfberry∈ G, judging that the commodity is still in the shelf life, generating a shelf life safety signal when M isFruit of Chinese wolfberryIf < G, the commodity is judged not to be in the safe range of the quality guarantee period, a quality guarantee warning signal is generated, and MFruit of Chinese wolfberry＞G、MFruit of Chinese wolfberry∈ G and MFruit of Chinese wolfberryThe premise for implementation of < G is: mean temperature
Wherein G is the preset value range of the quality ratio,
is average temperature data, and Y is a safe range value of the average temperature;
k3: acquiring the quality guarantee abundant signal, the quality guarantee safety signal and the quality guarantee warning signal in the K2, calibrating the identification codes of the signals, screening and setting the signals, identifying the quality guarantee warning signal and the corresponding commodity, setting the commodity as a removed commodity, identifying the quality guarantee safety signal, calibrating the identification codes of the signals, setting the signals as a preferred recommended commodity, identifying the quality guarantee abundant signal, calibrating the identification codes of the signals, and setting the signals as a secondary commodity;
k4: acquiring the serious goods shortage signal, the stock abundant signal, the quality guarantee safety signal, the quality guarantee warning signal, the preferentially recommended commodity, the removed commodity and the selected commodity, and transmitting the signals to a data management module;
the data management module is used for converting a severe shortage signal, a shortage signal, an inventory abundant signal, an inventory safe signal, an inventory quality warning signal, a preferentially recommended commodity, a commodity clearing and secondary commodity selection into a severe shortage command, a shortage command, an inventory abundant command, an inventory quality safe command, an inventory quality warning command, a preferentially recommended commodity command, a commodity clearing command and a secondary commodity selection command, and transmitting the commands to the execution unit;
the execution unit executes commands according to the execution unit.
When the invention works, the information acquisition module is used for acquiring commodity information and order information in real time, the commodity information comprises commodity type data, commodity quantity data, commodity sales volume data, quality guarantee period data and time data, the time data comprises storage time data and order discharge time data, the order information comprises order discharge commodity data and order discharge time data, the order discharge commodity data and the order discharge time data are respectively transmitted to the information processing module and the database, the database classifies and stores commodities according to the commodity type data, the information processing module is used for carrying out information processing operation on the commodity type data, the commodity quantity data, the commodity sales volume data, the quality guarantee period data, the storage time data and the order discharge time data to obtain ZLI, SLi, XLI, BZi, CCi, CDi, XDi and XSi, and transmits the information to the commodity analysis module through the controller, the monitoring module is used for monitoring the commodity storage condition in real time and automatically acquiring monitoring time data of monitoring time points, the monitoring module is also used for monitoring temperature data and air humidity data of a storage environment in real time and transmitting the data and the detection time data to the analysis module, the commodity analysis module is used for carrying out commodity analysis operation on commodity variety data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order output time data, order placing commodity data, order placing time data, temperature data, air humidity data and monitoring time data, the feedback processing module is used for carrying out data feedback operation on an actual quality guarantee ratio and a commodity storage ratio, and the data management module is used for carrying out data feedback operation on a serious goods shortage signal, a goods shortage abundant signal, a quality guarantee safety signal, a quality guarantee warning signal, a priority commodity recommendation signal, a command for clearing commodities and a secondary commodity to be converted into a serious goods shortage command, a goods abundance command, The quality guarantee abundant command, the quality guarantee safety command, the quality guarantee warning command, the priority commodity recommending command, the commodity clearing command and the commodity secondary selecting command are transmitted to the execution unit, and the execution unit executes the commands according to the commands.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (1)
1. An e-commerce commodity information management method based on a cloud platform is characterized by comprising the following steps:
e1: the commodity information and the order information are collected through the information collection module, the commodity information comprises commodity type data, commodity quantity data, commodity sales volume data, quality guarantee period data and time data, the time data comprises storage time data and order output time data, the order information comprises order commodity data and order output time data, the order commodity data and the order output time data are respectively transmitted to the information processing module and the database, the database stores commodities in a classified mode according to the commodity type data, the quantity data of the commodities are updated and stored within a preset time period, the information processing module is used for carrying out information processing operation on the commodity type data, the commodity quantity data, the commodity sales volume data, the quality guarantee period data, the storage time data and the order output time data, and the specific operation process of the information processing operation is as follows: the method comprises the following steps of obtaining commodity category data, commodity quantity data, commodity sales data, quality guarantee period data, storage time data, order issuing time data, order placing commodity data and order placing time data, and sequentially marking the data as: ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi, i being 1,2,3.. n, and ZLi, SLi, XLi, BZi, CCi, CDi, XDi, and XSi corresponding one to one and transmitted to the commodity analysis module through the controller;
e2: the monitoring module automatically acquires monitoring time data of a monitoring time point, temperature data and air humidity data and transmits the monitoring time data to the commodity analysis module, the commodity analysis module carries out commodity analysis operation on commodity variety data, commodity quantity data, commodity sales volume data, quality guarantee period data, storage time data, order output time data, order placing commodity data, order placing time data, temperature data, air humidity data and the monitoring time data, and the specific operation process of the commodity analysis operation is as follows:
s1: obtaining ordering commodity data and ordering time data, comparing the ordering commodity data with commodity type data in a database, judging that the commodity does not exist when any commodity in the commodity type data is inconsistent with the ordering commodity data, judging that the commodity has stock when any commodity in the commodity type data is consistent with the ordering commodity data, and generating an invoking signal, wherein the specific comparison and identification method comprises the following steps: respectively setting identification codes for the order commodity data and the commodity category data, and judging whether the code of the order commodity belongs to the code set of the commodity category data;
s2: acquiring the calling signal, inputting order placing time data, comparing the order placing time data with order placing time data, judging that the commodity has not been sold and recorded when any time period in the order placing time data is not matched with the order placing time data, and judging that the commodity has been sold and recorded when the order placing time data is matched with one order placing time data in the order placing time data, and calling the order placing time commodity sales data;
s3: obtaining commodity quantity data and commodity sales data of the ordering time, substituting the commodity quantity data and the commodity sales data into a calculation formula A ═ SLi-XLi, obtaining residual commodity data A, and substituting the residual commodity data A and the commodity quantity data into the calculation formula
Wherein V1 is expressed as a commodity storage ratio value, and 1.024 is expressed as a storage reservation factor;
s4: acquiring monitoring time data and quality guarantee period data, comparing the quality guarantee period data with the difference value of the monitoring time data and the storage time data, directly processing the commodity without analyzing the commodity when the quality guarantee period data is smaller than the difference value of the monitoring time data and the storage time data, and bringing the monitoring time data, the quality guarantee period data and the storage time data into a calculation formula together when the quality guarantee period data is larger than the difference value of the monitoring time data and the storage time data
Obtaining the theoretical quality guarantee ratio MTheory of thingsWherein JSv is expressed as detection time data, v ═ 1,2,3.. l;
s5: acquiring temperature data, air humidity data and the theoretical quality guarantee ratio M in the S4Theory of thingsAnd the temperature data and the air humidity data are labeled WDc and KQc in turn, c 1,2,3
Obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryWherein, 0.137, 0.156 and u are respectively a temperature influence factor, an air humidity influence factor and a conversion factor value, wherein, a period of time refers to the time length from the storage time data to the monitoring time data, and the time length and the commodity storage ratio are transmitted to the feedback processing module together;
e3: the feedback processing module carries out data feedback operation on the actual quality guarantee ratio and the commodity storage ratio, and the specific operation process of the data feedback operation is as follows:
k1: acquiring a commodity storage ratio V1, comparing the commodity storage ratio with Q, judging that the inventory of the commodity is seriously insufficient when V1 is less than Q, generating a serious shortage signal, judging that the inventory of the commodity is insufficient when V1 belongs to Q, generating a shortage signal, judging that the inventory of the commodity is still remained when V1 is more than Q, and generating an inventory abundant signal, wherein Q is a preset value range of inventory quantity ratio;
k2: obtaining the actual quality guarantee ratio MFruit of Chinese wolfberryAnd comparing it with G when M isFruit of Chinese wolfberryIf the quality guarantee period is more than G, the quality guarantee period of the commodity is judged to be sufficient, a signal of sufficient quality guarantee is generated, and when M is more than G, the quality guarantee period is judged to be sufficientFruit of Chinese wolfberry∈ G, judging that the commodity is still in the shelf life, generating a shelf life safety signal when M isFruit of Chinese wolfberryIf < G, the commodity is judged not to be in the safe range of the quality guarantee period, a quality guarantee warning signal is generated, and MFruit of Chinese wolfberry＞G、MFruit of Chinese wolfberry∈ G and MFruit of Chinese wolfberryThe premise for implementation of < G is: mean temperature
Wherein G is the preset value range of the quality ratio,
is average temperature data, and Y is a safe range value of the average temperature;
k3: acquiring the quality guarantee abundant signal, the quality guarantee safety signal and the quality guarantee warning signal in the K2, calibrating the identification codes of the signals, screening and setting the signals, identifying the quality guarantee warning signal and the corresponding commodity, setting the commodity as a removed commodity, identifying the quality guarantee safety signal, calibrating the identification codes of the signals, setting the signals as a preferred recommended commodity, identifying the quality guarantee abundant signal, calibrating the identification codes of the signals, and setting the signals as a secondary commodity;
k4: acquiring the serious goods shortage signal, the stock abundant signal, the quality guarantee safety signal, the quality guarantee warning signal, the preferentially recommended commodity, the removed commodity and the selected commodity, and transmitting the signals to a data management module;
e4: the data management module converts a serious out-of-stock signal, an inventory abundant signal, an inventory safe signal, an inventory quality warning signal, a priority commodity recommendation command, a commodity clearing command and a secondary commodity selection into a serious out-of-stock command, an inventory abundant command, an inventory quality safe command, an inventory quality warning command, a priority commodity recommendation command, a commodity clearing command and a secondary commodity selection command, and transmits the serious out-of-stock command, the out-of-stock signal, the inventory abundant command, the inventory quality safety command, the inventory quality warning command, the priority commodity recommendation.
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