An automatic statistics system for commodity loss in intelligent vending machines

Abstract

The present invention provides an automatic statistical system for commodity loss in intelligent vending machines, comprising: an information import module, a data acquisition module, a commodity monitoring module, and a statistical analysis module; the information import module is used to import basic information of commodities in their complete state; the commodity acquisition module is used to collect status information of commodities for sale; the commodity monitoring module is used to perform quality monitoring on commodities displayed in the intelligent vending machine and obtain commodity monitoring information; the statistical analysis module is used to perform loss analysis on the status information of commodities for sale, the basic information of commodities in their complete state, and the commodity monitoring information, respectively, to obtain commodity loss results and implement commodity loss statistics. The automatic statistical system for commodity loss in intelligent vending machines proposed by the present invention automatically performs commodity loss statistics without human intervention, not only with high accuracy, but also with reduced labor costs.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent vending machines, and in particular to an automatic statistical system for commodity loss in intelligent vending machines. Background Art

[0002] At present, when measuring the loss of goods in smart vending machines, manual observation, evaluation and statistics are often required. This is not only subject to significant subjective influences on human participation, resulting in large errors in product loss, but also requires labor costs. Therefore, the present invention proposes an automatic statistical system for product loss in smart vending machines, which automatically performs loss statistics on goods without the need for human participation. It not only has high accuracy but also can reduce labor costs. Summary of the Invention

[0003] The purpose of the present invention is to provide an automatic statistical system for commodity loss in intelligent vending machines to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an automatic statistical system for commodity loss of intelligent vending machines, the automatic statistical system for commodity loss of intelligent vending machines comprising: an information import module, a data acquisition module, a commodity monitoring module and a statistical analysis module; the information import module is used to import basic information of the commodity in a complete state; the commodity acquisition module is used to collect status information of the sold commodity; the commodity monitoring module is used to perform quality monitoring on the commodities displayed in the intelligent vending machine and obtain commodity monitoring information; the statistical analysis module is used to perform loss analysis on the status information of the sold commodity, the basic information of the commodity in a complete state and the commodity monitoring information, respectively, to obtain commodity loss results and realize commodity loss statistics.

[0005] Furthermore, when importing the basic information of the product in its complete state, the information import module includes: scanning and identifying the basic information of the product in its complete state, manually inputting the basic information of the product in its complete state, and retrieving the registration information of the product when it leaves the factory for direct import.

[0006] Furthermore, the data acquisition module is arranged at the commodity exit position of the smart vending machine, and a multi-angle information acquisition device is arranged at the commodity exit position of the smart vending machine. The information acquisition device is used to perform multi-angle information acquisition on the commodities entering the commodity exit position of the smart vending machine to obtain sales commodity acquisition information, and the sales commodity acquisition information is analyzed to obtain status information of the sales commodities.

[0007] Furthermore, the commodity monitoring module performs quality monitoring on the commodities displayed in the smart vending machine, including: monitoring the situation of the commodities displayed in the smart vending machine, determining the commodities for sale, and clarifying the remaining commodities; determining the display time of the remaining commodities in the smart vending machine based on information of the remaining commodities, and obtaining the display time of the remaining commodities; conducting abnormal phenomenon survey on the remaining commodities, and obtaining survey information of the remaining commodities; and obtaining commodity monitoring information based on the display time of the remaining commodities and the survey information of the remaining commodities.

[0008] Furthermore, the commodity monitoring module determines the commodity for sale through a weight monitoring system. The weight monitoring system monitors the weight of the commodities displayed in the intelligent vending machine, obtains commodity weight monitoring information, and analyzes the commodity weight monitoring information. When the commodity weight monitoring information changes, the cargo slot where the weight change occurs is locked to determine the commodity for sale, and the commodity weight monitoring information of the cargo slot is combined with the individual weight of the commodity for sale to determine the sales quantity of the commodity for sale, and the remaining commodities are determined based on the sales quantity of the commodity for sale.

[0009] Furthermore, the automatic statistics system for commodity loss of smart vending machines also includes: a commodity recovery module, which is used to receive returned commodities. When the customer wants to return the sold commodities after completing the transaction on the smart vending machine, a return application is initiated on the smart vending machine, and the commodities to be returned among the sold commodities are placed in the commodity recovery module. The returned commodities are obtained in the commodity recovery module, and the characteristic information of the returned commodities is obtained in advance by characterizing the returned commodities. According to the characteristic information of the returned commodities, the record information of the returned commodities in the smart vending machine is retrieved. If the record information of the returned commodities is obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is returned to the customer and the return application is completed. If the record information of the returned commodities is not obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is refused to be returned to the customer and the return application is rejected.

[0010] Furthermore, after completing the return application, the commodity recovery module also combines the characteristic information of the returned commodity with the record information of the returned commodity to sort the returned commodity and obtain commodity recovery information, including: analyzing the characteristic information of the returned commodity to determine whether the returned commodity is damaged; if the returned commodity is not damaged, returning the returned commodity to the corresponding cargo slot for display according to the record information of the returned commodity; if the returned commodity is damaged, determining the degree of damage of the returned commodity, and analyzing whether the returned commodity can continue to be sold based on the degree of damage of the returned commodity; when the analysis result shows that the returned commodity can continue to be sold, returning the returned commodity to the corresponding cargo slot for display; when the analysis result shows that the returned commodity cannot continue to be sold, placing the returned commodity in a recycling container.

[0011] Furthermore, the statistical analysis module includes: a first analysis unit, a second analysis unit, a third analysis unit and a statistical analysis unit; the first analysis unit performs a loss analysis on the status information of the sold goods and the basic information of the goods in the complete state to obtain a first loss analysis result; the second analysis unit analyzes the goods monitoring information to determine a second loss analysis result; the third analysis unit obtains the loss of the returned goods to obtain a third loss analysis result; the statistical analysis unit is used to obtain the first loss analysis result, the second loss analysis result and the third loss analysis result obtained in the first analysis unit, the second analysis unit and the third analysis unit, and combines the first loss analysis result, the second loss analysis result and the third loss analysis result together to perform a loss analysis to obtain a statistical result of goods loss.

[0012] Furthermore, when the statistical analysis unit combines the first loss analysis result, the second loss analysis result and the third loss analysis result together for loss analysis, it includes: singleness analysis and holistic analysis. The singleness analysis refers to extracting only information related to a single attribute from the first loss analysis result, the second loss analysis result and the third loss analysis result, and combining the extracted information with commodity loss analysis and statistics to obtain commodity loss statistical results, wherein the single attribute is divided into tangible loss and intangible loss; the holistic analysis is to analyze all attributes in the first loss analysis result, the second loss analysis result and the third loss analysis result separately and then comprehensively summarize them to obtain commodity loss statistical results.

[0013] Furthermore, when the information import module directly imports the basic information of the product when it leaves the factory by retrieving the registration information of the product when it leaves the factory, it also corrects the directly imported registration information of the product when it leaves the factory, including: obtaining the transportation information of the product during the transportation process; analyzing the transportation information to determine the influencing factors and the degree of influence on the product during the transportation process; correcting the registration information of the product when it leaves the factory based on the influencing factors and the degree of influence, incorporating the influencing factors and the degree of influence into the registration information of the product when it leaves the factory to obtain the registration information of the product when it leaves the factory after the transportation impact is corrected; importing the registration information of the product when it leaves the factory after the transportation impact is corrected can obtain the basic information of the product when it leaves the factory.

[0014] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0017] Figure 1 This is a schematic diagram of the automatic statistical system for commodity loss in intelligent vending machines according to the present invention;

[0018] Figure 2 This is another schematic diagram of the automatic statistical system for commodity loss in intelligent vending machines according to the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] like Figure 1As shown, an embodiment of the present invention provides an automatic statistical system for commodity loss in intelligent vending machines, and the automatic statistical system for commodity loss in intelligent vending machines includes: an information import module, a data acquisition module, a commodity monitoring module and a statistical analysis module; the information import module is used to import basic information of the commodity in a complete state; the commodity acquisition module is used to collect status information of the sold commodity; the commodity monitoring module is used to perform quality monitoring on the commodities displayed in the intelligent vending machine and obtain commodity monitoring information; the statistical analysis module is used to perform loss analysis on the status information of the sold commodity, the basic information of the commodity in a complete state and the commodity monitoring information, respectively, to obtain commodity loss results and realize commodity loss statistics.

[0021] The automatic statistical system for commodity loss of smart vending machines in the above technical solution includes: an information import module, a data acquisition module, a commodity monitoring module and a statistical analysis module. The information import module, the data acquisition module and the commodity monitoring module are connected to the statistical analysis module respectively, and the data information obtained in the information import module, the data acquisition module and the commodity monitoring module are transmitted to the statistical analysis module. When the automatic statistical system for commodity loss of smart vending machines is used to automatically count the commodity loss of smart vending machines, the basic information of the commodities sold in the smart vending machines in a complete state must first be imported through the information import module. The basic information in the complete state here includes: the undamaged appearance, shape, production date, shelf life, etc. of the commodities; The monitoring module monitors the quality of the goods entering the smart vending machine to monitor whether the goods are expired or have undergone quality changes, thereby obtaining product monitoring information. At the same time, when the goods are sold, the data acquisition module collects information such as the appearance and shape of the goods for sale without any loss, and obtains the status information of the goods for sale; finally, the statistical analysis module obtains the information obtained from the information import module, the data acquisition module, and the product monitoring module, and compares and analyzes the status information of the goods for sale with the basic information of the goods in the complete state to determine the loss of the goods for sale, and performs loss analysis on the product monitoring information to determine the loss of the unsold goods, thereby obtaining the product loss results based on the loss of the goods for sale and the loss of the unsold goods, and then realizing the statistics of product loss.

[0022] The above technical solution realizes the automatic statistics of commodity losses in smart vending machines through the automatic statistics system of commodity losses in smart vending machines, without the need for human participation. It not only saves manpower consumption and labor cost consumption, but also avoids the influence of human subjective factors, and improves the objective accuracy of commodity loss statistics results.

[0023] In one embodiment provided by the present invention, when the information import module imports the basic information of the product in a complete state, it includes: scanning and identifying the basic information of the product in a complete state, manually entering the basic information of the product in a complete state, and retrieving the registration information of the product when it leaves the factory for direct import.

[0024] The information import module in the above technical solution includes at least three methods for obtaining the basic information of the product in its complete state: one is to directly obtain the basic information of the product in its complete state by scanning and identifying the basic information of the product in its complete state; one is to manually enter the basic information of the product in its complete state to obtain the basic information of the product in its complete state; and the other is to directly import the basic information of the product in its complete state by retrieving the registration information of the product at the time of leaving the factory. The basic information in the complete state here includes: the product's intact appearance, shape, production date, shelf life, etc.

[0025] The above technical solution is not limited to one acquisition method when obtaining the basic information of the product in its complete state, which allows flexible selection. Moreover, when the selected method for obtaining the basic information of the product in its complete state encounters problems and cannot be successfully obtained, other acquisition methods can be selected to continue obtaining the basic information of the product in its complete state, providing convenience for obtaining the basic information of the product in its complete state.

[0026] In one embodiment provided by the present invention, the data acquisition module is arranged at the commodity exit position of the smart vending machine, and a multi-angle information acquisition device is arranged at the commodity exit position of the smart vending machine. The information acquisition device is used to perform multi-angle information acquisition on the commodities entering the commodity exit position of the smart vending machine to obtain sales commodity acquisition information, and the sales commodity acquisition information is analyzed to obtain status information of the sales commodities.

[0027] The data acquisition module in the above technical solution is set at the commodity exit position of the smart vending machine, and a multi-angle information acquisition device is set at the commodity exit position of the smart vending machine. The information acquisition device is used to collect multi-angle information of the commodities entering the commodity exit position of the smart vending machine to obtain the sales commodity collection information. The sales commodity collection information here is the information of the sales commodity from multiple angles. The information from multiple angles is then combined and analyzed to determine the status of the sales commodity and obtain the status information of the sales commodity. Among them, the sales commodity collection information mainly refers to the appearance, shape and other information of the sales commodity.

[0028] The above technical solution is set at the commodity outlet position of the smart vending machine to obtain detailed information on the sold commodities, and thus to clarify the loss of commodities in the smart vending machine. In addition, through multi-angle information collection, the status information of the sold commodities can be fully obtained, thereby improving the measurement accuracy of commodity loss.

[0029] In one embodiment provided by the present invention, the commodity monitoring module performs quality monitoring on the commodities displayed in the smart vending machine, including: monitoring the situation of the commodities displayed in the smart vending machine, determining the commodities for sale, and clarifying the remaining commodities; performing information determination on the remaining commodities for the display time of the remaining commodities in the smart vending machine, and obtaining the display time of the remaining commodities; performing abnormal phenomenon survey on the remaining commodities, and obtaining survey information of the remaining commodities; and obtaining commodity monitoring information based on the display time of the remaining commodities and the survey information of the remaining commodities.

[0030] When the commodity monitoring module in the above technical solution performs quality monitoring on the commodities displayed in the smart vending machine, it obtains the situation of the commodities displayed in the smart vending machine, determines the commodities for sale, and clarifies the remaining commodities; it determines the display time of the remaining commodities in the smart vending machine based on the information of the remaining commodities, and obtains the display time of the remaining commodities; it conducts abnormal phenomenon survey on the remaining commodities to survey whether the remaining commodities have undergone quality changes, where the quality change phenomena include: mold, bloating, leakage, etc., thereby obtaining the survey information of the remaining commodities; and obtains commodity monitoring information based on the display time of the remaining commodities and the survey information of the remaining commodities.

[0031] The above technical solution obtains the commodity monitoring information of the commodities displayed in the smart vending machine through the commodity monitoring module to clarify whether the unsold commodities have been damaged. Therefore, when conducting commodity damage statistics, not only the loss statistics of the sold commodities are conducted, but also the loss statistics of the unsold commodities are conducted, thereby improving the accuracy of the automatic commodity damage statistics system of the smart vending machine.

[0032] In one embodiment provided by the present invention, the commodity monitoring module determines the commodity for sale through a weight monitoring system. The weight monitoring system monitors the weight of the commodities displayed in the intelligent vending machine, obtains commodity weight monitoring information, and analyzes the commodity weight monitoring information. When the commodity weight monitoring information changes, the cargo slot where the weight change occurs is locked to determine the commodity for sale, and the commodity weight monitoring information of the cargo slot is combined with the individual weight of the commodity for sale to determine the quantity of the commodity for sale, and the remaining commodities are determined based on the quantity of the commodity for sale.

[0033] The commodity monitoring module in the above technical solution determines the commodity for sale through the weight monitoring system, specifically including: the weight monitoring system monitors the weight of the commodities displayed in the intelligent vending machine, obtains commodity weight monitoring information, and analyzes the commodity weight monitoring information, analyzes the commodity weight monitoring information according to the cargo slot, determines whether the commodity weight monitoring information has changed, thereby locking the cargo slot with changed weight, and then determines the commodity for sale, and then combines the commodity weight monitoring information of the cargo slot with the individual weight of the commodity for sale to determine the quantity of the commodity sold, and then determines the remaining commodities based on the quantity of the commodity sold.

[0034] The above technical solution uses a weight monitoring system to monitor weight, which can not only obtain real-time information on changes in goods in the smart vending machine, but also accurately understand the goods sold and the quantity of goods sold, thereby determining the remaining goods. The process is not prone to errors and has high accuracy.

[0035] like Figure 2 As shown, in one embodiment provided by the present invention, the automatic statistics system for commodity loss of smart vending machines also includes: a commodity recovery module, which is used to receive returned commodities. When the customer wants to return the sold commodities after completing the transaction on the smart vending machine, a return application is initiated on the smart vending machine, and the commodities to be returned among the sold commodities are placed in the commodity recovery module. The returned commodities are obtained in the commodity recovery module, and the characteristic information of the returned commodities is obtained in advance by characterizing the returned commodities. According to the characteristic information of the returned commodities, the record information of the returned commodities in the smart vending machine is retrieved. If the record information of the returned commodities is obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is returned to the customer and the return application is completed. If the record information of the returned commodities is not obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is refused to be returned to the customer and the return application is rejected.

[0036] The automatic statistics system for product loss of smart vending machines in the above technical solution also includes a product recovery module, which is used to receive returned products. When a customer wants to return the sold products after completing a transaction on the smart vending machine, he / she initiates a return application on the smart vending machine and puts the products that need to be returned into the product recovery module. The returned products are obtained in the product recovery module, and the feature information of the returned products is obtained in advance based on the features of the returned products. According to the feature information of the returned products, the record information of the returned products in the smart vending machine is retrieved. If the record information of the returned products is obtained by retrieving the record information of the returned products in the smart vending machine, the refund amount is returned to the customer and the return application is completed. If the record information of the returned products is not obtained by retrieving the record information of the returned products in the smart vending machine, the refund amount is refused to be returned to the customer and the return application is rejected.

[0037] The above technical solution uses a product recycling module to enable customers to return the purchased goods after the transaction if they are not satisfied with the goods. Customers who use smart vending machines to purchase goods can return or exchange goods just like they would in a physical store, thereby providing convenience to customers. Moreover, by retrieving the record information of the returned goods in the smart vending machine based on the characteristic information of the returned goods, customers can be prevented from returning goods that do not belong to the smart vending machine, effectively reducing the losses of the smart vending machine.

[0038] In one embodiment provided by the present invention, after completing the return application, the commodity recovery module also combines the characteristic information of the returned commodity with the record information of the returned commodity to sort the returned commodity and obtain commodity recovery information, including: analyzing the characteristic information of the returned commodity to determine whether the returned commodity is damaged; if the returned commodity is not damaged, returning the returned commodity to the corresponding cargo slot for display according to the record information of the returned commodity; if the returned commodity is damaged, determining the degree of damage of the returned commodity; analyzing whether the returned commodity can continue to be sold based on the degree of damage of the returned commodity; when the analysis result shows that the returned commodity can continue to be sold, returning the returned commodity to the corresponding cargo slot for display; when the analysis result shows that the returned commodity cannot continue to be sold, placing the returned commodity in a recycling container.

[0039] After completing the return application, the above technical solution will also use the characteristic information of the returned goods in combination with the record information of the returned goods to sort the returned goods, including: analyzing the characteristic information of the returned goods to determine whether the returned goods are damaged. If the returned goods are not damaged, the returned goods will be returned to the corresponding cargo slot for display according to the record information of the returned goods. If the returned goods are damaged, the degree of damage of the returned goods will be determined, and whether the returned goods can continue to be sold will be analyzed based on the degree of damage of the returned goods. When the analysis result shows that the returned goods can continue to be sold, they will be returned to the corresponding cargo slot for display. When the analysis result shows that the returned goods cannot continue to be sold, the returned goods will be placed in a recycling container, thereby obtaining product recycling information.

[0040] Among them, when the returned goods are returned to the corresponding trough for display, the product recovery module will sort the returned goods to the channel of the corresponding trough, and use the channel to transport the returned goods to the corresponding trough. The channel presents a certain inclination angle, and an intelligent buffer device is installed near the trough. The intelligent buffer device adjusts the buffer according to the situation in the trough and the returned goods using the following formula, so that the returned goods are transported to the corresponding trough:

[0041]

[0042] Where L is the target buffering length of the intelligent buffering device, F is the average buffering force of the intelligent buffering device on the returned goods, m is the mass of the returned goods, g is the acceleration of gravity, θ is the inclination angle of the channel, μ1 is the friction coefficient of the channel, μ2 is the friction coefficient of the cargo trough, z is the length of the channel, and s is the distance between the cargo trough opening and the existing goods.

[0043] Then, according to the target buffer length determined by the intelligent buffer device, the goods will be returned to the corresponding cargo slot for display.

[0044] The above technical solution sorts the returned goods and sorts the returned goods that can be sold again into the corresponding display slots, so that the returned goods can be sold again, thereby minimizing the losses of the smart vending machine operator. At the same time, the returned goods that can no longer be sold are placed in recycling containers to avoid the negative impact of the returned goods that can no longer be sold being sold again on customers. In addition, when the returned goods are returned to the corresponding slots for display, the intelligent buffering device can be used to buffer different returned goods when they are returned to the corresponding slots for display, avoiding the returned goods from colliding with the existing goods in the slots due to excessive kinetic energy when entering the slots, thereby reducing the loss of goods. In addition, the intelligent buffering device can make different buffering adjustments according to different goods and the number of existing goods in the slots, so that the goods displayed in the slots can be used even after they are replaced.

[0045] In one embodiment provided by the present invention, the statistical analysis module includes: a first analysis unit, a second analysis unit, a third analysis unit and a statistical analysis unit; the first analysis unit performs a loss analysis on the status information of the sold goods and the basic information of the goods in the complete state to obtain a first loss analysis result; the second analysis unit analyzes the goods monitoring information to determine a second loss analysis result; the third analysis unit obtains the loss of the returned goods to obtain a third loss analysis result; the statistical analysis unit is used to obtain the first loss analysis result, the second loss analysis result and the third loss analysis result obtained in the first analysis unit, the second analysis unit and the third analysis unit, and combines the first loss analysis result, the second loss analysis result and the third loss analysis result together to perform a loss analysis to obtain a statistical result of goods loss.

[0046] The statistical analysis module in the above technical solution includes: a first analysis unit, a second analysis unit, a third analysis unit and a statistical analysis unit; the first analysis unit performs a loss analysis on the status information of the sold goods and the basic information of the goods in the complete state to obtain a first loss analysis result; the second analysis unit analyzes the goods monitoring information to determine the second loss analysis result; the third analysis unit obtains the loss of the returned goods to obtain a third loss analysis result; then after the first analysis unit, the second analysis unit and the third analysis unit obtain the first loss analysis result, the second loss analysis result and the third loss analysis result, the statistical analysis unit obtains the first loss analysis result, the second loss analysis result and the third loss analysis result obtained in the first analysis unit, the second analysis unit and the third analysis unit, and then combines the first loss analysis result, the second loss analysis result and the third loss analysis result together to eliminate the duplicate information of duplicate goods, thereby obtaining the statistical results of the goods loss.

[0047] The above technical solution obtains information data from different locations through the first analysis unit, the second analysis unit and the third analysis unit for analysis to determine the first loss analysis result, the second loss analysis result and the third loss analysis result. This not only enables the first analysis unit, the second analysis unit and the third analysis unit to determine the first loss analysis result, the second loss analysis result and the third loss analysis result in parallel, thereby improving analysis efficiency, but also the first analysis unit, the second analysis unit and the third analysis unit can also adopt a fixed analysis method for analysis, thereby reducing the probability of error during the analysis process and improving the accuracy of the first loss analysis result, the second loss analysis result and the third loss analysis result. In addition, the statistical analysis unit can avoid multiple loss analyses of the same attributes for the same product by combining the first loss analysis result, the second loss analysis result and the third loss analysis result, thereby improving the accuracy of the product loss statistical results.

[0048] In one embodiment provided by the present invention, when the statistical analysis unit combines the first loss analysis result, the second loss analysis result, and the third loss analysis result together for loss analysis, it includes: singleness analysis and holistic analysis. The singleness analysis refers to extracting only information related to a single attribute from the first loss analysis result, the second loss analysis result, and the third loss analysis result, and combining the extracted information with commodity loss analysis and statistics to obtain commodity loss statistical results, wherein the single attribute is divided into tangible loss and intangible loss; the holistic analysis is to analyze all attributes in the first loss analysis result, the second loss analysis result, and the third loss analysis result separately and then comprehensively summarize them to obtain commodity loss statistical results.

[0049] The statistical analysis unit in the above technical solution includes: singleness analysis and holistic analysis when combining the first loss analysis result, the second loss analysis result and the third loss analysis result together for loss analysis. Singleness analysis means that only information related to a single attribute is extracted from the first loss analysis result, the second loss analysis result and the third loss analysis result, and the extracted information is combined with the commodity loss analysis and statistics to obtain commodity loss statistical results, where the single attribute is divided into tangible loss and intangible loss. Tangible loss here includes what we can see, such as product damage, loss, expiration, quality problems, etc.; intangible loss includes losses caused by theft, display errors during operation, etc.; holistic analysis is to analyze all attributes separately in the first loss analysis result, the second loss analysis result and the third loss analysis result, and then comprehensively summarize the commodity loss statistical results.

[0050] The above technical solution divides the statistical analysis unit into single analysis and overall analysis, so that the statistical results of commodity loss can not only reflect the overall commodity loss, but also obtain the commodity loss of a single attribute, thereby more clearly reflecting the loss of commodities in smart vending machines.

[0051] In one embodiment provided by the present invention, when the information import module directly imports the basic information of the commodity when it leaves the factory by retrieving the registration information of the commodity when it leaves the factory, it also corrects the directly imported registration information of the commodity when it leaves the factory, including: obtaining the transportation information of the commodity during the transportation process; analyzing the transportation information to determine the influencing factors and the degree of influence on the commodity during the transportation process; correcting the registration information of the commodity when it leaves the factory according to the influencing factors and the degree of influence, and incorporating the influencing factors and the degree of influence into the registration information of the commodity when it leaves the factory to obtain the registration information of the commodity when it leaves the factory after the transportation impact is corrected; importing the registration information of the commodity when it leaves the factory after the transportation impact is corrected can obtain the basic information of the commodity in the complete state.

[0052] When the information import module in the above technical solution directly imports the registration information of the goods when they leave the factory to obtain the basic information of the goods in a complete state, it also corrects the directly imported registration information of the goods when they leave the factory, including: obtaining the transportation information of the goods during the transportation process; analyzing the transportation information to determine the influencing factors and the degree of influence on the goods during the transportation process; correcting the registration information of the goods when they leave the factory based on the influencing factors and the degree of influence, and incorporating the influencing factors and the degree of influence into the registration information of the goods when they leave the factory to obtain the registration information of the goods when they leave the factory after the transportation impact is corrected; importing the registration information of the goods when they leave the factory after the transportation impact is corrected can obtain the basic information of the goods in a complete state.

[0053] When the information import module of the above technical solution directly imports the basic information of the product in a complete state by retrieving the registration information of the product when it leaves the factory, it corrects the registration information of the product when it leaves the factory according to the influencing factors and the degree of influence, so that the basic information of the product in a complete state imported by the information import module eliminates the loss of the product during the transportation process, and at the same time, the loss of the product during the transportation process is included in the loss of the product in the smart vending machine, thereby improving the accuracy of the automatic statistical system for product loss in the smart vending machine.

[0054] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0055] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0056] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An automatic statistics system for commodity loss in intelligent vending machines, characterized by: The automatic statistical system for commodity loss of smart vending machines includes: an information import module, a data acquisition module, a commodity monitoring module, and a statistical analysis module; the information import module is used to import basic information of commodities in a complete state; the data acquisition module is used to collect status information of commodities for sale; the commodity monitoring module is used to monitor the quality of commodities displayed in the smart vending machine and obtain commodity monitoring information; the statistical analysis module is used to perform loss analysis on the status information of the commodities for sale, the basic information of the commodities in a complete state, and the commodity monitoring information, respectively, to obtain commodity loss results and implement commodity loss statistics; The automatic statistics system for commodity loss of smart vending machines also includes: a commodity recycling module, which is used to receive returned commodities. When a customer wants to return the sold commodities after completing a transaction on the smart vending machine, he initiates a return application on the smart vending machine and puts the commodities to be returned from the sold commodities into the commodity recycling module. The returned commodities are obtained in the commodity recycling module, and feature information of the returned commodities is obtained in advance by characterizing the returned commodities. According to the feature information of the returned commodities, the record information of the returned commodities in the smart vending machine is retrieved. If the record information of the returned commodities is obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is returned to the customer and the return application is completed. If the record information of the returned commodities is not obtained by retrieving the record information of the returned commodities in the smart vending machine, the refund amount is refused to be returned to the customer and the return application is rejected. After completing the return application, the commodity recycling module further combines the characteristic information of the returned commodity with the record information of the returned commodity to sort the returned commodity and obtain commodity recycling information, including: analyzing the characteristic information of the returned commodity to determine whether the returned commodity is damaged; if the returned commodity is not damaged, returning the returned commodity to the corresponding cargo slot for display according to the record information of the returned commodity; if the returned commodity is damaged, determining the degree of damage of the returned commodity, and analyzing whether the returned commodity can continue to be sold based on the degree of damage of the returned commodity; when the analysis result shows that the returned commodity can continue to be sold, returning the returned commodity to the corresponding cargo slot for display; when the analysis result shows that the returned commodity cannot continue to be sold, placing the returned commodity in a recycling container; When the returned goods are returned to the corresponding trough for display, the product recovery module will sort the returned goods to the channel of the corresponding trough. The channel will be used to transport the returned goods to the corresponding trough. The channel has a certain inclination angle and is equipped with an intelligent buffer device near the trough. The intelligent buffer device adjusts the buffer according to the situation in the trough and the returned goods using the following formula, so that the returned goods are transported to the corresponding trough: in, is the target buffer length of the intelligent buffer device, is the average buffering force of the intelligent buffer device on the returned goods, For the quality of the returned goods, is the acceleration due to gravity, is the inclination angle of the channel, is the friction coefficient of the channel, is the friction coefficient of the cargo trough, is the length of the channel, The distance between the cargo slot and the existing goods; Then, according to the target buffer length of the intelligent buffer device, the goods will be returned to the corresponding cargo slot for display; When importing the basic information of the commodity in a complete state, the information import module includes: scanning and identifying the basic information of the commodity in a complete state, manually inputting the basic information of the commodity in a complete state, and retrieving the registration information of the commodity when it leaves the factory for direct import; wherein, when the information import module directly imports the basic information of the commodity in a complete state by retrieving the registration information of the commodity when it leaves the factory, it also corrects the directly imported registration information of the commodity when it leaves the factory, including: obtaining the transportation information of the commodity during the transportation process; analyzing the transportation information to determine the influencing factors and the degree of influence on the commodity during the transportation process; correcting the registration information of the commodity when it leaves the factory according to the influencing factors and the degree of influence, combining the influencing factors and the degree of influence into the registration information of the commodity when it leaves the factory to obtain the registration information of the commodity when it leaves the factory after the transportation influence is corrected; the basic information of the commodity in a complete state can be obtained by importing the registration information of the commodity when it leaves the factory after the transportation influence is corrected; The commodity monitoring module performs quality monitoring on the commodities displayed in the smart vending machine, including: monitoring the situation of the commodities displayed in the smart vending machine, determining the commodities for sale, and clarifying the remaining commodities; determining the display time of the remaining commodities in the smart vending machine based on the information of the remaining commodities, and obtaining the display time of the remaining commodities; conducting abnormal phenomenon survey on the remaining commodities, and obtaining the survey information of the remaining commodities; obtaining commodity monitoring information based on the display time of the remaining commodities and the survey information of the remaining commodities; and the commodity monitoring module determines the commodities for sale through a weight monitoring system when determining the commodities for sale, and the weight monitoring system monitors the weight of the commodities displayed in the smart vending machine, obtains commodity weight monitoring information, and analyzes the commodity weight monitoring information. When the commodity weight monitoring information changes, the cargo slot where the weight has changed is locked to determine the commodities for sale, and the commodity weight monitoring information of the cargo slot is combined with the individual weight of the commodities for sale to determine the sold quantity of the commodities for sale, and the remaining commodities are determined based on the sold quantity of the commodities for sale.

2. The automatic statistical system for commodity loss of intelligent vending machines according to claim 1 is characterized in that: The data acquisition module is arranged at the commodity exit position of the smart vending machine, and a multi-angle information acquisition device is arranged at the commodity exit position of the smart vending machine. The information acquisition device is used to collect multi-angle information of the commodities entering the commodity exit position of the smart vending machine to obtain sales commodity collection information, and the sales commodity collection information is analyzed to obtain status information of the sales commodities.

3. The automatic statistical system for commodity loss of intelligent vending machines according to claim 1 is characterized in that: The statistical analysis module includes: a first analysis unit, a second analysis unit, a third analysis unit and a statistical analysis unit; the first analysis unit performs a loss analysis on the status information of the sold goods and the basic information of the goods in a complete state to obtain a first loss analysis result; the second analysis unit analyzes the goods monitoring information to determine a second loss analysis result; the third analysis unit obtains the loss of the returned goods to obtain a third loss analysis result; the statistical analysis unit is used to obtain the first loss analysis result, the second loss analysis result and the third loss analysis result obtained in the first analysis unit, the second analysis unit and the third analysis unit, and combines the first loss analysis result, the second loss analysis result and the third loss analysis result together to perform a loss analysis to obtain a statistical result of goods loss.

4. The automatic statistical system for commodity loss of intelligent vending machines according to claim 3 is characterized in that: When the statistical analysis unit combines the first loss analysis result, the second loss analysis result and the third loss analysis result together for loss analysis, it includes: singleness analysis and holistic analysis. The singleness analysis refers to extracting only information related to a single attribute from the first loss analysis result, the second loss analysis result and the third loss analysis result, and combining the extracted information with commodity loss analysis and statistics to obtain commodity loss statistical results, wherein the single attribute is divided into tangible loss and intangible loss; the holistic analysis is to analyze all attributes in the first loss analysis result, the second loss analysis result and the third loss analysis result separately and then comprehensively summarize them to obtain commodity loss statistical results.

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