CN110782314A - Novel bulk cargo retail platform based on edge computing technology - Google Patents
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Abstract
The invention provides a novel bulk retail platform based on an edge computing technology. The invention comprises a pricing platform and a retail cloud service platform: the pricing platform comprises a weighing module, an edge computing platform, a data communication module and a power supply module and is used for computing the total price of the commodity, interacting with the pre-purchase and uploading the commodity photo, the purchaser photo and the commodity purchase detail data to the retail cloud service platform; the retail cloud service platform comprises a data receiving and sending server, a middleware message queue, a background processing program, a data storage module and a front-end interaction platform, and is used for further analyzing the commodity purchase details and obtaining correlation analysis results among all the characteristics. The invention solves the problems that in the process of bulk selling, for different types of products, a specific person needs to watch on the scale due to different unit prices, unnecessary labor is consumed while mistakes are easy to make, abundant selling data can be obtained, and guidance is provided for the selling process of merchants.
Description
Technical Field
The invention relates to the field of Internet of things and new retail, in particular to a novel bulk retail platform based on an edge computing technology.
Background
With the continuous development of artificial intelligence and internet of things technology, various industries are developing day by day. The ever-increasing demands on living experiences are also a direction for improvement in the retail industry, which needs to be contacted every day. Bulk sales are a large percentage of the retail process, and the intellectualization of bulk sales is a promising form of development.
In the bulk sales process, unit prices are different for different types of products. The existing selling process usually needs a specific person to watch at the side of a weighing platform, after a customer purchases the goods, the price is calculated by manually inputting unit price or commodity number into a scale, but the price is easy to make mistakes by manually memorizing a large amount of prices, and unnecessary labor is consumed.
In addition, in the process of bulk goods sales, due to the characteristics of complicated commodity types, non-uniform data and the like, a set of standard data analysis system is difficult to realize for the sales data of the bulk goods.
Disclosure of Invention
In order to solve the problems of labor consumption and inconvenience in data analysis in the conventional retail process, the invention provides a novel bulk retail platform based on an edge computing technology. The platform is designed by two parts, namely an edge side and a cloud side, so that the retail cost of bulk merchants is greatly saved, and a guiding function can be provided for the merchant sales strategy and plan.
A novel bulk retail platform based on edge computing technology comprises a pricing platform and a retail cloud service platform:
the pricing platform comprises a weighing module, an edge computing platform, a data communication module and a power supply module;
the weighing module is used for collecting weight data on the pricing platform, is connected with the edge computing platform through serial communication and sends the collected weight data to the edge computing platform;
the edge computing platform shoots a target commodity picture through a camera of the edge computing platform, the target detection of the commodity picture is carried out through a YOLOv3 neural network, the commodity type contained in the commodity picture is obtained, and then commodity information is obtained from a built-in database. The commodity information includes commodity number and commodity unit price. The edge computing platform judges a pricing mode according to the commodity category; when the commodity is a weight-counting commodity, the edge computing platform computes a total price according to the acquired detailed commodity information and the weight data transmitted by the weighing module and transmits the purchased commodity details to a liquid crystal display screen of the edge computing platform; when the commodity is a piece counting commodity, the edge computing platform processes the commodity photo through a computer vision technology to obtain the quantity of the commodity, calculates the total price by combining the obtained detailed commodity information and transmits the details of the purchased commodity to a liquid crystal display screen of the edge computing platform. Meanwhile, the edge computing platform uploads the commodity total price to the retail cloud service platform through the data communication module, the two-dimensional code payment module in the background processing program of the retail cloud service platform obtains the two-dimensional code payment, and the edge computing platform transmits the obtained two-dimensional code payment to the liquid crystal display screen. The details of the purchased commodities comprise commodity types, commodity unit prices, commodity quantity, commodity weight and commodity total prices. And the liquid crystal display screen displays the commodity details and the payment two-dimensional code and synchronously displays the camera image of the edge computing platform.
The edge computing platform is connected with the data communication module through serial communication, and shot commodity pictures and purchaser pictures are uploaded to the retail cloud service platform through the data communication module.
The edge computing platform packages the details of the purchased commodities, the commodity purchase time, the commodity purchase place, the commodity photo path, the purchaser photo path and the preset pricing platform characteristics into formatted character string information through JSON to form commodity purchase detail data, and the commodity purchase detail data is uploaded to the retail cloud service platform through the data communication module. The preset pricing platform characteristics comprise the position of a market where the pricing platform is located, the distribution of people around the market where the pricing platform is located and the position of the pricing platform in the market where the pricing platform is located.
And the power supply module supplies power to the weighing module, the edge computing platform and the data communication module.
The retail cloud service platform comprises a data receiving and sending server, a middleware message queue, a background processing program, a data storage module and a front-end interaction platform.
The data transceiver server comprises an MQTT server and an FTP server, and the data transceiver server is communicated with the pricing platform: the MQTT server is used for receiving data information and issuing instructions; the FTP server is used for receiving the picture data, and uploads the received commodity photos and the purchased photos to a file system of the data storage module. The MQTT server is connected with the middleware message queue, and after receiving the commodity purchase detail data uploaded by the data communication module, the MQTT server inserts the commodity purchase detail data into the middleware message queue, wherein the middleware message queue is a RockketMQ.
The data storage module comprises a database and a file system, wherein the database is used for storing non-picture data, and the file system is used for storing picture data.
The background processing program comprises a message polling module, an instruction issuing module, a data analysis module and a two-dimension code module.
And the message polling module polls the middleware message queue, reads the commodity purchase detail data and carries out JSON unpacking when the commodity purchase detail data exists in the middleware message queue, then inserts the obtained single commodity sales record into a database of the data storage module, and deletes the processed commodity purchase detail data from the middleware message queue.
The data analysis module firstly obtains the characteristics of the purchaser by analyzing the photograph of the purchaser, obtains the characteristics of the commodity by analyzing the photograph of the commodity, and then judges and analyzes the correlation among the characteristics of the purchaser, the characteristics of the commodity and the preset pricing platform by solving the correlation coefficient among the obtained characteristics of the purchaser, the characteristics of the commodity and the pricing platform. And finally, extracting information from the characteristics of the purchaser, the characteristics of the commodities and the preset pricing platform to perfect a single commodity sales record in the database. And storing the correlation analysis results among the characteristics into a database.
And the correlation coefficients among all the variables are all combinations of correlation coefficients obtained by performing correlation analysis on the commodity characteristics, the purchaser characteristics and the preset pricing platform characteristics. The commodity characteristics comprise the brand, size, color, purchase quantity and origin of the commodity; the characteristics of the purchaser comprise the age, the sex and the purchase times of the purchaser.
The instruction issuing module is connected with the MQTT server and used for issuing equipment control instructions, and the equipment control instructions comprise writing in a commodity identification neural network into a single pricing platform and setting internal database information of an edge computing platform.
The two-dimension code module is connected with the MQTT server, generates a payment two-dimension code according to the total price uploaded by the edge computing platform, and then transmits the payment two-dimension code to the edge computing platform through the MQTT server.
The front-end interaction platform is connected with the instruction issuing module, commodity sales records in the database and correlation analysis results among all characteristics are visually and visually displayed, and the commercial tenant sets commodity recognition neural network and database information in the edge computing platform through the front-end interaction platform.
The retail cloud service platform can be connected with a plurality of pricing platforms.
The invention has the following beneficial effects:
the invention can be greatly convenient for customers to purchase, and is an innovation in the new retail field.
The retail platform is connected to the Internet through the Internet of things technology and then reports the data, and the data are collected to become a data source for big data analysis.
Through big data analysis, a merchant can be given a better sales guidance strategy.
Drawings
FIG. 1 is an overall structural view of the invention;
FIG. 2 is a block diagram of the pricing platform of the present invention;
FIG. 3 is a flowchart illustrating the operation of the pricing platform of the present invention;
FIG. 4 is a block diagram of a retail cloud service platform of the present invention;
FIG. 5 is a flowchart illustrating the operation of the retail cloud service platform of the present invention;
FIG. 6 is a flow chart of data analysis according to the present invention;
fig. 7 is an overall flow diagram of an embodiment of the invention.
Detailed Description
The invention is further illustrated by the following figures and examples.
As shown in fig. 1, the novel bulk retail platform of the present invention comprises a pricing platform and a retail cloud service platform:
as shown in fig. 2, the pricing platform includes a weighing module, an edge computing platform, a data communication module, and a power module;
before the pricing platform is started each time, calibration and initialization work including the steps of zeroing scale body readings, initializing network connection and verifying and cloud communication conditions are automatically carried out. And entering a normal working state after the calibration and initialization are finished, and starting to acquire weight data by the weighing module.
The weighing module is responsible for collecting weight data on the pricing platform, is connected with the edge computing platform through serial communication and sends the collected weight data to the edge computing platform;
the edge computing platform shoots a target commodity picture through a camera of the edge computing platform, the target detection of the commodity picture is carried out through a YOLOv3 neural network, the commodity type contained in the commodity picture is obtained, and then commodity information is obtained from the built-in database. The commodity information includes a commodity number and a commodity unit price. The edge computing platform judges the pricing mode according to the commodity category; when the commodity is a weight-counting commodity, the edge computing platform computes a total price according to the acquired detailed commodity information and the weight data transmitted by the weighing module and transmits the purchased commodity details to a liquid crystal display screen of the edge computing platform; when the commodity is a piece counting commodity, the edge computing platform processes the commodity photo through a computer vision technology to obtain the quantity of the commodity, calculates the total price by combining the obtained detailed commodity information and transmits the details of the purchased commodity to a liquid crystal display screen of the edge computing platform. Meanwhile, the edge computing platform uploads the commodity total price to the retail cloud service platform through the data communication module, the two-dimensional code payment module in the background processing program of the retail cloud service platform obtains the two-dimensional code payment, and the edge computing platform transmits the obtained two-dimensional code payment to the liquid crystal display screen. The details of the purchased article include the article type, article unit price, article number, article weight, and article total price. And displaying the commodity details and the payment two-dimensional code on the liquid crystal display screen, and synchronously displaying the camera image of the edge computing platform.
The edge computing platform is connected with the data communication module through serial communication, and the shot commodity pictures and the purchased person pictures are uploaded to the retail cloud service platform through the data communication module.
The edge computing platform packages the purchased commodity details, the commodity purchase time, the commodity purchase place, the commodity photo path, the purchaser photo path and the preset pricing platform characteristics into formatted character string information through JSON to form commodity purchase detail data, and the commodity purchase detail data is uploaded to the retail cloud service platform through the data communication module. The preset pricing platform characteristics comprise the position of a market where the pricing platform is located, the distribution of people around the market where the pricing platform is located and the position of the pricing platform in the market where the pricing platform is located.
The display content of the liquid crystal display can be set by a user through a remote mode, for example, the advertisement content is displayed in the blank position of the interface, and the specified elements can be extracted from the details of the purchased commodities through presetting when the liquid crystal display is displayed.
The power module supplies power for the weighing module, the edge computing platform and the data communication module.
FIG. 3 is a flowchart illustrating the operation of the pricing platform of the present invention.
As shown in fig. 4, the retail cloud service platform includes a data transceiver server, a middleware message queue, a background processing program, a data storage module, and a front-end interaction platform.
The data transceiver server comprises an MQTT server and an FTP server, and the data transceiver server is communicated with the pricing platform: the MQTT server is used for receiving data information and issuing instructions; the FTP server is used for receiving the picture data, and uploads the received commodity photos and the purchased person photos to a file system of the data storage module. The MQTT server is connected with a middleware message queue, and after receiving the commodity purchasing detail data uploaded by the data communication module, the MQTT server inserts the commodity purchasing detail data into the middleware message queue, wherein the middleware message queue is a RockettMQ.
The data storage module comprises a database and a file system, wherein the database is used for storing non-picture data, and the file system is used for storing picture data.
The background processing program comprises a message polling module, an instruction issuing module, a data analysis module and a two-dimension code module.
And the message polling module polls the middleware message queue, reads the commodity purchase detail data and carries out JSON unpacking when the commodity purchase detail data exists in the middleware message queue, then inserts the obtained single commodity sales record into a database of the data storage module, and deletes the processed commodity purchase detail data from the middleware message queue.
As shown in fig. 6, the data analysis module firstly obtains the purchaser characteristics by analyzing the purchaser picture, obtains the commodity characteristics by analyzing the commodity picture, and then determines the correlation among the analyzed purchaser characteristics, the commodity characteristics, and the preset pricing platform characteristics by solving the correlation coefficients among the obtained purchaser characteristics, the commodity characteristics, and the pricing platform characteristics. And finally, extracting information from the characteristics of the purchaser, the characteristics of the commodities and the preset pricing platform to perfect a single commodity sales record in the database. And storing the correlation analysis results among the characteristics into a database.
And the correlation coefficients among the variables are all combinations of correlation coefficients obtained by performing correlation analysis on the commodity characteristics, the purchaser characteristics and the preset pricing platform characteristics. The commodity characteristics comprise the brand, size, color, purchase quantity and origin of the commodity; the purchaser characteristics include the age, sex, number of purchases of the purchaser.
The instruction issuing module is connected with the MQTT server and used for issuing equipment control instructions, and the equipment control instructions comprise writing in a commodity identification neural network into a single pricing platform and setting internal database information of an edge computing platform.
The two-dimension code module is connected with the MQTT server, generates a payment two-dimension code according to the total price uploaded by the edge computing platform, and then transmits the payment two-dimension code to the edge computing platform through the MQTT server.
The front-end interaction platform is connected with the instruction issuing module, commodity sales records in the database and correlation analysis results among all characteristics are visually and visually displayed, and the commercial tenant sets commodity recognition neural network and database information in the edge computing platform through the front-end interaction platform. When a merchant submits a form to retrieve a commodity sales record through a front-end display page of the front-end interaction platform, the front-end display page inquires the correlation analysis result between the commodity sales record and each characteristic in a database, and after the database feeds back the correlation analysis result between the commodity sales record and each characteristic, the front-end interaction platform draws the commodity sales record fed back by the database and the correlation analysis result between each characteristic into a chart to be displayed on the front-end display page.
The retail cloud service platform can be connected with a plurality of pricing platforms.
Fig. 5 is a flowchart illustrating the operation of the retail cloud service platform according to the present invention.
Through the scheme, the sale condition and the purchaser condition of the commodity can be displayed definitely, so that the relationship between the data and the data can be found, the relationship between the data and the data of different types can obtain the interest degree of different purchasers in different commodities, data reference is provided for merchants, and the sales layout adjustment of the merchants is facilitated.
Example 1
As shown in fig. 7, the user places an apple on the pricing platform, and the weighing module inputs weight data into the edge computing platform after detecting that an article is placed and the weight is stable. The edge computing platform takes a picture through a camera of the edge computing platform to obtain an apple photo, the target detection of the apple photo is carried out through a YOLOv3 neural network, the detailed information of the apple commodity is read from a built-in database after the type of the current article is judged, the total price is computed by combining weight data transmitted by the weighing module, and the details of the purchased commodity are transmitted to a liquid crystal display screen of the edge computing platform. Meanwhile, the edge computing platform uploads the apple total price to the retail cloud service platform through the data communication module, the two-dimensional code payment module in the background processing program of the retail cloud service platform obtains the two-dimensional code payment, and the edge computing platform transmits the obtained two-dimensional code payment to the liquid crystal display screen. The purchaser scans the code to pay through the payment two-dimensional code displayed on the liquid crystal display screen. Meanwhile, the edge computing platform uploads the apple photos and the purchaser photos to an FTP server of the retail cloud service platform through the data communication module, and the edge computing platform packages the purchased commodity details, the apple purchase time, the apple purchase place, the commodity photo path and the purchaser photo path into formatted character string information through JSON to form commodity purchase detail data, and uploads the commodity purchase detail data to an MQTT server in the retail cloud service platform through the data communication module. After receiving the uploaded data, the retail cloud service platform transmits the apple photos and the purchaser photos into a file system, and inserts the commodity purchase detail data into a middleware message queue. The apple sales records are obtained through the message polling module, the data analysis module firstly obtains purchaser characteristics through analyzing purchaser photos, obtains commodity characteristics through analyzing commodity photos, and then judges and analyzes the correlation among the purchaser characteristics, the commodity characteristics and the preset pricing platform characteristics through solving the correlation coefficients among the obtained purchaser characteristics, the commodity characteristics and the pricing platform characteristics. And finally, extracting information from the characteristics of the purchaser, the characteristics of the commodities and the preset pricing platform to perfect a single commodity sales record in the database. And storing the correlation analysis results among the characteristics into a database. When a merchant submits a form to retrieve a commodity sales record through a front-end display page of the front-end interaction platform, the front-end display page inquires the correlation analysis result between the commodity sales record and each characteristic in a database, and after the database feeds back the correlation analysis result between the commodity sales record and each characteristic, the front-end interaction platform draws the commodity sales record fed back by the database and the correlation analysis result between each characteristic into a chart to be displayed on the front-end display page. The merchant can adjust the sales layout according to the displayed commodity sales record and the correlation analysis result between the characteristics.
Fig. 7 is an overall flow diagram of an embodiment of the invention.
Claims (1)
1. A novel bulk retail platform based on edge computing technology is characterized by comprising a pricing platform and a retail cloud service platform:
the pricing platform comprises a weighing module, an edge computing platform, a data communication module and a power supply module;
the weighing module is used for collecting weight data on the pricing platform, is connected with the edge computing platform through serial communication and sends the collected weight data to the edge computing platform;
the edge computing platform shoots a target commodity picture through a camera of the edge computing platform, carries out commodity picture target detection through a YOLOv3 neural network, obtains commodity types contained in the commodity picture and then obtains commodity information from a built-in database; the commodity information comprises a commodity number and a commodity unit price; the edge computing platform judges a pricing mode according to the commodity category; when the commodity is a weight-counting commodity, the edge computing platform computes a total price according to the acquired detailed commodity information and the weight data transmitted by the weighing module and transmits the purchased commodity details to a liquid crystal display screen of the edge computing platform; when the commodity is a piece counting commodity, the edge computing platform processes the commodity photo through a computer vision technology to obtain the quantity of the commodity, calculates the total price by combining the obtained detailed commodity information and transmits the details of the purchased commodity to a liquid crystal display screen of the edge computing platform; meanwhile, the edge computing platform uploads the commodity total price to the retail cloud service platform through the data communication module, the two-dimensional code payment module in the background processing program of the retail cloud service platform obtains the two-dimensional code payment, and the edge computing platform transmits the obtained two-dimensional code payment to the liquid crystal display screen; the details of the purchased commodities comprise commodity types, commodity unit prices, commodity quantity, commodity weight and commodity total prices; the liquid crystal display screen displays commodity details and payment two-dimensional codes and synchronously displays a camera image of the edge computing platform;
the edge computing platform is connected with the data communication module through serial communication, and uploads the shot commodity pictures and the shot purchaser pictures to the retail cloud service platform through the data communication module;
the edge computing platform packages the details of purchased commodities, the commodity purchase time, the commodity purchase place, the commodity photo path, the purchaser photo path and the preset pricing platform characteristics into formatted character string information through JSON to form commodity purchase detail data, and uploads the commodity purchase detail data to the retail cloud service platform through the data communication module; the preset pricing platform characteristics comprise the position of a market where the pricing platform is located, the distribution of people around the market where the pricing platform is located and the position of the pricing platform in the market where the pricing platform is located;
the power supply module supplies power to the weighing module, the edge computing platform and the data communication module;
the retail cloud service platform comprises a data receiving and sending server, a middleware message queue, a background processing program, a data storage module and a front-end interaction platform;
the data transceiver server comprises an MQTT server and an FTP server, and the data transceiver server is communicated with the pricing platform: the MQTT server is used for receiving data information and issuing instructions; the FTP server is used for receiving the picture data, and uploads the received commodity photos and the purchased photos to a file system of the data storage module; the MQTT server is connected with the middleware message queue, and after receiving the commodity purchase detail data uploaded by the data communication module, the MQTT server inserts the commodity purchase detail data into the middleware message queue, wherein the middleware message queue is a RockketMQ;
the data storage module comprises a database and a file system, wherein the database is used for storing non-picture data, and the file system is used for storing picture data;
the background processing program comprises a message polling module, an instruction issuing module, a data analysis module and a two-dimensional code module;
the message polling module polls the middleware message queue, reads out the commodity purchase detail data and carries out JSON unpacking when the commodity purchase detail data exists in the middleware message queue, then inserts the obtained single commodity sales record into a database of the data storage module, and deletes the processed commodity purchase detail data from the middleware message queue;
the data analysis module firstly obtains the characteristics of a purchaser by analyzing a purchaser photo, obtains the characteristics of a commodity by analyzing a commodity photo, and judges and analyzes the correlation among the characteristics of the purchaser, the characteristics of the commodity and the preset pricing platform by solving the correlation coefficient among the obtained characteristics of the purchaser, the characteristics of the commodity and the characteristics of the pricing platform; finally, information extraction is carried out on the purchaser characteristics, the commodity characteristics and the preset pricing platform characteristics to perfect a single commodity sales record in the database; storing the correlation analysis results among the characteristics into a database;
the correlation coefficients among all the variables are all combinations of correlation coefficients obtained by performing correlation analysis on commodity characteristics, purchaser characteristics and preset pricing platform characteristics; the commodity characteristics comprise the brand, size, color, purchase quantity and origin of the commodity; the characteristics of the purchaser comprise the age, the sex and the purchase times of the purchaser;
the instruction issuing module is connected with the MQTT server and used for issuing equipment control instructions, and the equipment control instructions comprise writing in a commodity identification neural network into a single pricing platform and setting internal database information of an edge computing platform;
the two-dimension code module is connected with the MQTT server, generates a payment two-dimension code according to the total price uploaded by the edge computing platform, and then transmits the payment two-dimension code to the edge computing platform through the MQTT server;
the front-end interaction platform is connected with the instruction issuing module, commodity sales records in the database and correlation analysis results among all characteristics are visually and visually displayed, and a merchant sets commodity recognition neural networks and database information in the edge computing platform through the front-end interaction platform;
the retail cloud service platform can be connected with a plurality of pricing platforms.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111967304A (en) * | 2020-06-30 | 2020-11-20 | 北京百度网讯科技有限公司 | Method and device for acquiring article information based on edge calculation and settlement table |
| CN113607252A (en) * | 2021-08-20 | 2021-11-05 | 珠海乐鸽信息技术有限公司 | Novel method for simultaneously weighing and identifying multiple types of commodities |
| CN114445980A (en) * | 2022-01-28 | 2022-05-06 | 成都商汤科技有限公司 | Commodity checkout method and device, electronic device and storage medium |
| CN115410701A (en) * | 2022-10-28 | 2022-11-29 | 云宏信息科技股份有限公司 | Medical consumable purchasing method based on edge calculation and virtualization technology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107424012A (en) * | 2017-07-31 | 2017-12-01 | 京东方科技集团股份有限公司 | A kind of intelligent shopping guide method, intelligent shopping guide equipment |
| CN108229946A (en) * | 2018-02-08 | 2018-06-29 | 中山简单点网络技术有限公司 | A kind of method of unmanned marketing balance system and system identification commodity |
| CN108831073A (en) * | 2018-09-12 | 2018-11-16 | 河北戴斯特尼科技有限公司 | unmanned supermarket system |
| CN109447618A (en) * | 2018-09-20 | 2019-03-08 | 南京农业大学 | A kind of unmanned Supermarket shopping system and its working method |
| CN110300190A (en) * | 2019-07-25 | 2019-10-01 | 中国工商银行股份有限公司 | A kind of ticket selling and checking system based on MQTT message-oriented middleware |
-
2019
- 2019-09-30 CN CN201910942908.7A patent/CN110782314B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107424012A (en) * | 2017-07-31 | 2017-12-01 | 京东方科技集团股份有限公司 | A kind of intelligent shopping guide method, intelligent shopping guide equipment |
| CN108229946A (en) * | 2018-02-08 | 2018-06-29 | 中山简单点网络技术有限公司 | A kind of method of unmanned marketing balance system and system identification commodity |
| CN108831073A (en) * | 2018-09-12 | 2018-11-16 | 河北戴斯特尼科技有限公司 | unmanned supermarket system |
| CN109447618A (en) * | 2018-09-20 | 2019-03-08 | 南京农业大学 | A kind of unmanned Supermarket shopping system and its working method |
| CN110300190A (en) * | 2019-07-25 | 2019-10-01 | 中国工商银行股份有限公司 | A kind of ticket selling and checking system based on MQTT message-oriented middleware |
Non-Patent Citations (2)
| Title |
|---|
| 任宏等: "社区无人便利店服务系统设计研究", 《工业设计》 * |
| 朱苗绘等: "生鲜农产品批发市场电子结算平台参与者意愿分析", 《合作经济与科技》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111967304A (en) * | 2020-06-30 | 2020-11-20 | 北京百度网讯科技有限公司 | Method and device for acquiring article information based on edge calculation and settlement table |
| CN113607252A (en) * | 2021-08-20 | 2021-11-05 | 珠海乐鸽信息技术有限公司 | Novel method for simultaneously weighing and identifying multiple types of commodities |
| CN114445980A (en) * | 2022-01-28 | 2022-05-06 | 成都商汤科技有限公司 | Commodity checkout method and device, electronic device and storage medium |
| CN114445980B (en) * | 2022-01-28 | 2023-11-28 | 成都商汤科技有限公司 | Commodity checkout method and device, electronic equipment and storage medium |
| CN115410701A (en) * | 2022-10-28 | 2022-11-29 | 云宏信息科技股份有限公司 | Medical consumable purchasing method based on edge calculation and virtualization technology |
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