A system and method for ensuring accurate replenishment data of smart cabinets

Abstract

The present application provides a system and method for ensuring the accuracy of replenishment data of smart cabinets, and the method includes: manually replenishing the container, and recording the commodity category and quantity of the commodity in the container after replenishment to form replenishment commodity category data and replenishment commodity quantity data; confirming the commodity category of the goods in the container to form commodity category information; confirming the quantity of the goods in the container to form commodity quantity information; comparing the commodity category information with the replenishment commodity category data, and comparing the commodity quantity information with the replenishment commodity quantity data to form replenishment result information; updating and registering the data according to the replenishment result information. The method is implemented by a visual sensor, a weight sensor, a type and quantity verification device, a data upload and modification platform, and a fault reporting device. The system and method can avoid replenishment data errors caused by human factors, and can accurately detect the types and quantities of replenished commodities.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a system and method for ensuring the accuracy of smart cabinet replenishment data. Background Art

[0002] With the development of the Internet of Things technology, various equipment and facilities in life have shown a high level of intelligence, which has greatly facilitated people's lives and improved their quality of life. As a new technological way of offline retail, unmanned stores use Internet of Things technology to provide 24-hour retail services. On the one hand, it extends the service time and changes the traditional retail method. On the other hand, compared with traditional retail, it greatly reduces the cost increase caused by manual retail services and the influence of human factors, thus improving the quality of offline retail. In addition, due to the intelligent technology of offline unmanned retail stores, close contact between people can be avoided.

[0003] The goods in the container need to be replenished at regular intervals to meet the situation of continued sales. With fewer container locations, the replenishment staff can easily cope with it. However, with the increase in container locations, the number of goods loaded and unloaded on the container also gradually increases, which brings a large workload to the replenishment staff. In addition, the replenishment work depends to a large extent on the efficiency of the replenishment staff. Therefore, under the replenishment tasks with a large workload, the replenishment staff is prone to make replenishment errors. Simply counting the types and quantities of goods on the container after each replenishment by the replenishment staff will cause uncontrollable replenishment errors. Over time, when the error increases, it not only affects the company's product supply, but also reduces consumers' experience of the convenience of smart containers, indirectly causing greater economic losses to the company.

[0004] At present, there are also ways and methods to improve replenishment statistics. The traditional approach is that after the replenishment is completed, the replenisher will confirm the data multiple times and manually record it through small programs and other recording methods. However, this method is also mainly due to the uncontrollable human factors, which will cause certain errors. Therefore, it cannot significantly improve the accurate recording and statistics of replenishment data.

[0005] Therefore, designing a system or method that can ensure the accuracy of smart cabinet replenishment data, avoid replenishment data errors caused by human factors, and accurately detect the types and quantities of replenished goods is an urgent problem to be solved. Summary of the invention

[0006] Based on this, the present invention aims to overcome the defects of the prior art and provide a method for ensuring the accuracy of smart cabinet replenishment data, which compares and verifies the replenishment commodity category data and replenishment commodity quantity data manually counted for replenishment with the commodity category information and commodity quantity information detected on the container, thereby obtaining accurate smart cabinet replenishment data and ensuring the accuracy of the replenishment data. At the same time, the manually input replenishment commodity category data and replenishment commodity quantity data can be trimmed according to the verification results of the replenishment commodity category data and replenishment commodity quantity data and the commodity category information and commodity quantity information detected on the container, so as to ensure the uniformity and correctness of the replenishment data.

[0007] The present invention also provides a system to ensure the accuracy of the replenishment data of the smart cabinet, which uses a visual sensor to confirm the type of goods on the container after replenishment and form the commodity category information. The weight sensor is used to confirm the quantity information of the goods on the container after replenishment and form the commodity quantity information. The type and quantity verification device comprehensively processes the commodity category information, commodity quantity information, replenishment commodity category data and replenishment commodity quantity data, determines whether there are errors in the replenishment commodity category data and the replenishment commodity quantity data, and prompts correction of the data with errors. The accuracy of the replenishment data is achieved by verifying the data of the equipment and the manual data. At the same time, the fault reporting device can monitor the working status of the visual sensor and the weight sensor, and further ensure the accuracy of the data.

[0008] The first technical solution provided by the present invention is:

[0009] A method for ensuring the accuracy of smart cabinet replenishment data specifically includes: manually replenishing the container, and recording the commodity category and commodity quantity in the container after replenishment to form replenishment commodity category data and replenishment commodity quantity data; confirming the commodity category of the goods in the container to form commodity category information; confirming the quantity of the goods in the container to form commodity quantity information; comparing the commodity category information with the replenishment commodity category data, and comparing the commodity quantity information with the replenishment commodity quantity data to form replenishment result information; updating and registering the data according to the replenishment result information. In the above implementation process, the replenishment commodity category data and replenishment commodity quantity data manually counted by replenishment are compared and verified with the commodity category information and commodity quantity information detected on the container, thereby obtaining accurate smart cabinet replenishment data to ensure the accuracy of the replenishment data. At the same time, the manually input replenishment commodity category data and replenishment commodity quantity data can be trimmed according to the verification results of the replenishment commodity category data and replenishment commodity quantity data with the commodity category information and commodity quantity information detected on the container to ensure the uniformity and correctness of the replenishment data.

[0010] Preferably, the confirmation of commodity analogy of the goods in the container specifically includes: using visual recognition technology to identify the type of goods in each cargo position on the container. In the above implementation process, using visual recognition technology to obtain the type information of the goods can effectively ensure the accuracy of the obtained data.

[0011] Preferably, the number of commodities in the container is confirmed, specifically comprising: using a weight sensor to perform weight detection on each cargo position on the container, and forming commodity quantity information according to the weight detection result. In the above implementation process, the number of commodities is monitored by a weight sensor, and the measurement is simple, and the quantity data can be obtained by converting the weight data.

[0012] Preferably, forming the replenishment result information includes: when the commodity category information is different from the replenishment commodity category data, forming commodity category correction result information. In the above implementation process, using the commodity category information obtained by the device as a verification standard can ensure the accuracy of the verification and improve the correctness of the data.

[0013] Preferably, updating and registering data according to the replenishment result information includes: correcting the replenishment commodity category data according to the commodity category correction result information, and registering the corrected replenishment commodity category data. In the above implementation process, if there is a deviation in the data verification, it is directly corrected, which can ensure the accuracy of the commodity category data obtained after replenishment in real time.

[0014] Preferably, forming the replenishment result information includes: when the commodity quantity information is different from the replenishment commodity quantity data, forming commodity quantity correction result information. In the above implementation process, using the commodity category information obtained by the device as the verification standard can ensure the accuracy of the verification and improve the correctness of the data.

[0015] Preferably, updating and registering data according to the replenishment result information includes: correcting the replenishment commodity quantity data according to the commodity quantity correction result information, and registering the corrected replenishment commodity quantity data. In the above implementation process, if there is a deviation in the data verification, it is directly corrected, which can ensure the accuracy of the commodity quantity data obtained after replenishment in real time.

[0016] Preferably, forming the replenishment result information includes: when the commodity category information is different from the replenishment commodity category data, and the commodity quantity information is different from the replenishment commodity quantity data, simultaneously forming commodity category correction result information and commodity quantity correction result information. In the above implementation process, the replenishment commodity category data and the replenishment commodity quantity data are both data that need to be confirmed. If errors are found in the verification, both need to be corrected to ensure the accuracy of the commodity category data and the commodity quantity data.

[0017] Preferably, updating and registering data according to the replenishment result information includes: correcting the replenishment commodity category data according to the commodity category correction result information, and correcting the replenishment commodity quantity data according to the commodity quantity correction result information; and registering the corrected replenishment commodity category data and replenishment commodity quantity data. In the above implementation process, the data is registered after the data is trimmed, forming accurate data of the container commodity data after this replenishment, which provides an important and accurate basis for the later replenishment and the enterprise's supply of commodities.

[0018] The second technical solution provided by the present invention is:

[0019] A system for ensuring the accuracy of replenishment data of smart cabinets, adopting the method for ensuring the accuracy of replenishment data of smart cabinets mentioned in the first technical solution, including a visual sensor, a weight sensor, a type and quantity verification device, a data upload and modification platform and a fault reporting device; the visual sensor is connected to the type and quantity verification device, and the visual sensor sends commodity category information to the type and quantity verification device; the weight sensor is connected to the type and quantity verification device, and the weight sensor sends weight information to the type and quantity verification device, and after the type and quantity verification device receives the weight information, it converts the weight information into commodity quantity information; the data upload and modification platform is connected to the type and quantity verification device, and the weight sensor sends weight information to the type and quantity verification device, and after receiving the weight information, the type and quantity verification device converts the weight information into commodity quantity information; the data upload and modification platform is connected to the type and quantity verification device, and the weight sensor sends weight information to the type and quantity verification device, and the weight sensor sends weight information to the type and quantity verification device, and after receiving the weight information, the weight information is converted into commodity quantity information; the type and quantity verification device ... The data upload and modification platform sends the replenishment commodity category data and the replenishment commodity quantity data to the type and quantity verification device; the type and quantity verification device compares the received commodity category information with the replenishment commodity category data, and compares the commodity quantity information with the replenishment commodity quantity data to form the replenishment result information, and sends the replenishment result information to the data upload and modification platform; the fault reporting device is respectively connected to the visual sensor, the weight sensor and the type and quantity verification device, the fault reporting device monitors the working status of the visual sensor and the weight sensor, and sends the fault information to the type and quantity verification device for reporting. In the above implementation process, the visual sensor is used to confirm the commodity type on the container after replenishment, and the commodity category information is formed. The weight sensor is used to confirm the commodity quantity information on the container after replenishment, and the commodity quantity information is formed. The type and quantity verification device comprehensively processes the commodity category information, the commodity quantity information, the replenishment commodity category data and the replenishment commodity quantity data, determines whether there are errors in the replenishment commodity category data and the replenishment commodity quantity data, and prompts the correction of the data with errors. The accuracy of the replenishment data is achieved by verifying the data of the equipment and the manual data. At the same time, the fault reporting device can monitor the working status of the visual sensor and weight sensor to further ensure the accuracy of the data.

[0020] The system and method for ensuring accurate replenishment data of smart cabinets provided by the present invention have the following beneficial effects:

[0021] A method for ensuring the accuracy of smart cabinet replenishment data is provided. By using commodity category information obtained by using visual technology and commodity quantity information obtained by using weight sensors as a benchmark for comparison with commodity category data and commodity quantity data recorded by replenishment personnel, the commodity category data and commodity quantity data are proofread and modified. The correctness and accuracy of the commodity category data and commodity quantity data recorded by the replenishment personnel can be ensured, and replenishment data errors caused by human factors can be effectively avoided.

[0022] In addition, the data from each replenishment is used to establish a replenishment analysis model to predict the subsequent replenishment cycle and replenishment content, providing the replenishment personnel with a more reasonable replenishment cycle and replenishment content, which can effectively improve the replenishment efficiency of the replenishment personnel and also assist the replenishment personnel to ensure the accuracy and correctness of the replenishment data.

[0023] A system to ensure the accuracy of smart cabinet replenishment data uses visual sensors to confirm the types of goods on the container after replenishment and form commodity category information. Use weight sensors to confirm the quantity information of goods on the container after replenishment and form commodity quantity information. The type and quantity verification device comprehensively processes the commodity category information, commodity quantity information, replenishment commodity category data and replenishment commodity quantity data, determines whether there are errors in the replenishment commodity category data and replenishment commodity quantity data, and prompts correction of the data with errors. The accuracy of replenishment data is achieved by verifying the data of the equipment and the manual data. At the same time, the fault reporting device can monitor the working status of the visual sensor and the weight sensor to further ensure the accuracy of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a method for ensuring accurate replenishment data of a smart cabinet provided by an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of the structure of a system for ensuring accurate replenishment data of a smart cabinet provided in an embodiment of the present invention.

[0026] Icons: 01. Visual sensor; 02. Weight sensor; 03. Type and quantity verification device; 04. Data upload and modification platform; 05. Fault reporting device. DETAILED DESCRIPTION

[0027] The present invention is further described in detail below, but the embodiments of the present invention are not limited thereto.

[0028] The present application will present various aspects, embodiments or features around a system that may include multiple devices, components, modules, etc. It should be understood and appreciated that each system may include additional devices, components, modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in conjunction with the figures. In addition, combinations of these schemes may also be used.

[0029] In addition, in the embodiments of the present application, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present concepts in a concrete way. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0030] With the development of the Internet of Things technology, various equipment and facilities in life have shown a high level of intelligence, which has greatly facilitated people's lives and improved their quality of life. As a new technological way of offline retail, unmanned stores use Internet of Things technology to provide 24-hour retail services. On the one hand, it extends the service time and changes the traditional retail method. On the other hand, compared with traditional retail, it greatly reduces the cost increase caused by manual retail services and the influence of human factors, thus improving the quality of offline retail. In addition, due to the intelligent technology of offline unmanned retail stores, close contact between people can be avoided.

[0031] The goods in the container need to be replenished at regular intervals to meet the situation of continued sales. With fewer container locations, the replenishment staff can easily cope with it. However, with the increase in container locations, the number of goods loaded and unloaded on the container also gradually increases, which brings a large workload to the replenishment staff. In addition, the replenishment work depends to a large extent on the efficiency of the replenishment staff. Therefore, under the replenishment tasks with a large workload, the replenishment staff is prone to make replenishment errors. Simply counting the types and quantities of goods on the container after each replenishment by the replenishment staff will cause uncontrollable replenishment errors. Over time, when the error increases, it not only affects the company's product supply, but also reduces consumers' experience of the convenience of smart containers, indirectly causing greater economic losses to the company.

[0032] At present, there are also ways and methods to improve replenishment statistics. The traditional approach is that after the replenishment is completed, the replenisher will confirm the data multiple times and manually record it through small programs and other recording methods. However, this method is also mainly due to the uncontrollable human factors, which will cause certain errors. Therefore, it cannot significantly improve the accurate recording and statistics of replenishment data.

[0033] Please refer to Figure 1 , Figure 1 A flow chart of a method for ensuring the accuracy of smart cabinet replenishment data provided by an embodiment of the present invention. The method for ensuring the accuracy of smart cabinet replenishment data specifically includes: manually replenishing the container, and recording the commodity category and commodity quantity in the container after replenishment to form replenishment commodity category data and replenishment commodity quantity data; confirming the commodity category of the goods in the container to form commodity category information; confirming the quantity of goods in the container to form commodity quantity information; comparing the commodity category information with the replenishment commodity category data, and comparing the commodity quantity information with the replenishment commodity quantity data to form replenishment result information; updating and registering data according to the replenishment result information.

[0034] The method compares and verifies the replenishment commodity category data and replenishment commodity quantity data manually counted with the commodity category information and commodity quantity information detected on the container, thereby obtaining accurate intelligent cabinet replenishment data and ensuring the accuracy of the replenishment data. At the same time, the manually input replenishment commodity category data and replenishment commodity quantity data can be trimmed according to the verification results of the replenishment commodity category data and replenishment commodity quantity data with the commodity category information and commodity quantity information detected on the container, thereby ensuring the uniformity and correctness of the replenishment data.

[0035] There are various ways and methods for obtaining commodity category data and commodity quantity data. In this implementation, the goods in the container are confirmed by commodity analogy, specifically including: using visual recognition technology to identify the type of goods in each cargo position on the container. Using visual recognition technology to obtain commodity type information can accurately identify the type of goods on the container after replenishment, and effectively ensure the accuracy of the acquired data. Confirming the quantity of goods in the container specifically includes: using a weight sensor to perform weight detection on each cargo position on the container, and forming commodity quantity information based on the results of the weight detection. The goods have specific weight information, and the quantity of the goods can be indirectly obtained based on the weight of the container, so there is no need to set up complex equipment for directly counting the number of goods. The number of goods is monitored by the weight sensor 02, and the measurement is simple. The quantity data can be obtained by converting the weight data.

[0036] The commodity category information obtained by visual recognition technology and the commodity quantity information obtained by weight sensor 02 are used as reference values ​​for verification with the manually entered replenishment commodity category data and replenishment commodity quantity data. After each verification, the data needs to be corrected according to the pressure result. Specifically:

[0037] Forming the replenishment result information includes: when the commodity category information is different from the replenishment commodity category data, forming commodity category correction result information. The commodity category information obtained by visual recognition technology is very accurate. Using the commodity category information obtained by the device as a verification standard can ensure the accuracy of the verification and improve the correctness of the data. Updating and registering data according to the replenishment result information includes: correcting the replenishment commodity category data according to the commodity category correction result information, and registering the corrected replenishment commodity category data. If a deviation occurs in the data verification, the replenishment personnel can be prompted to modify the commodity category data uploaded by themselves according to the commodity category information, thereby obtaining the unified and accurate commodity category data of the two, which can ensure the accuracy of the commodity category data obtained after replenishment in real time.

[0038] Similarly, forming the replenishment result information includes: when the commodity quantity information is different from the replenishment commodity quantity data, forming commodity quantity correction result information. Using the commodity category information obtained by the device as the verification standard can ensure the accuracy of the verification and improve the correctness of the data. Updating and registering the data according to the replenishment result information includes: correcting the replenishment commodity quantity data according to the commodity quantity correction result information, and registering the corrected replenishment commodity quantity data. If a deviation occurs in the data verification, the replenishment personnel can be prompted to modify the commodity quantity data uploaded by themselves according to the commodity quantity information, thereby obtaining the same accurate commodity quantity data for both, which can ensure the accuracy of the commodity quantity data obtained after replenishment in real time.

[0039] In addition, the formation of replenishment result information includes: when the commodity category information is different from the replenishment commodity category data, and the commodity quantity information is different from the replenishment commodity quantity data, commodity category correction result information and commodity quantity correction result information are formed at the same time. The replenishment commodity category data and the replenishment commodity quantity data are data that need to be confirmed. If errors are found in the verification, they need to be corrected to ensure the accuracy of the commodity category data and the commodity quantity data. Updating and registering data according to the replenishment result information includes: correcting the replenishment commodity category data according to the commodity category correction result information, and correcting the replenishment commodity quantity data according to the commodity quantity correction result information; registering the corrected replenishment commodity category data and replenishment commodity quantity data. After the data is corrected, it is registered to form accurate data of the container commodity data after this replenishment, which provides an important and accurate basis for later replenishment and the company's supply of goods.

[0040] It is understandable that when the commodity category information and the replenishment commodity category data are inconsistent, or when the commodity quantity information and the replenishment commodity quantity data are inconsistent, or when the commodity category information and the replenishment commodity category data are inconsistent, and the commodity quantity information and the replenishment commodity quantity data are inconsistent. After the replenishment personnel obtain the replenishment result information after verification, there are two options. One is that the replenishment personnel adjust the commodity types and commodity quantities on the smart cabinet according to the verification benchmark data, that is, the commodity category information and the commodity quantity information, so that the actual commodity categories and commodity quantities are consistent with the commodity category information and the commodity quantity information data. Another way is that the replenishment personnel adjust the commodity categories and commodity quantities in the smart cabinet according to the replenishment commodity category data and the replenishment commodity quantity data recorded at the beginning, so that the commodity category information obtained by the visual sensor 01 and the replenishment commodity category data recorded by the replenishment personnel are the same, and the commodity quantity information obtained by the weight sensor 02 and the replenishment commodity quantity data recorded by the replenishment personnel are the same.

[0041] In addition, it can be considered that since the categories and quantities of goods involved in replenishment are related to the sales of the container, the replenishment situation of each container can be counted and analyzed to form a replenishment analysis model, and then the replenishment cycle, replenishment commodity categories and quantity required for each container can be predicted, and replenishment information can be provided to replenishment personnel, which can assist replenishment personnel to a certain extent, and replenishment personnel do not need to conduct repeated untimely inspections and checks, which can help replenishment personnel to replenish on demand on a regular basis and complete replenishment work efficiently. At the same time, after replenishment, the replenishment cycle, replenishment commodity categories and quantity of replenishment commodities of each container are adjusted according to the replenishment data, so as to accurately predict the replenishment data and provide more accurate replenishment information to replenishment personnel to assist them in completing replenishment work efficiently.

[0042] Of course, there are various models for replenishment analysis. A relatively simple method is to arrange the statistical goods and quantities of each category according to the replenishment cycle, determine the replenishment cycle and replenishment quantity rules of different categories of goods based on the existing mathematical model, and make a possible replenishment prediction based on this rule, providing the replenishment personnel with the replenishment time point and replenishment category and quantity. Of course, this can be combined with a learning algorithm to optimize the prediction of the replenishment cycle and replenishment quantity of each commodity.

[0043] The embodiment of the present invention also provides a system for ensuring the accuracy of smart cabinet replenishment data. Figure 2 , Figure 2 A schematic diagram of the structure of a system for ensuring accurate replenishment data of a smart cabinet provided in an embodiment of the present invention.

[0044] A system for ensuring the accuracy of replenishment data of a smart cabinet provided by an embodiment of the present invention adopts a method for ensuring the accuracy of replenishment data of a smart cabinet provided by this embodiment, including a visual sensor 01, a weight sensor 02, a type and quantity verification device 03, a data upload and modification platform 04 and a fault reporting device 05; the visual sensor 01 is connected to the type and quantity verification device 03, and the visual sensor 01 sends commodity category information to the type and quantity verification device 03; the weight sensor 02 is connected to the type and quantity verification device 03, and the weight sensor 02 sends weight information to the type and quantity verification device 03, and after the type and quantity verification device 03 receives the weight information, it converts the weight information into commodity quantity information; the data upload and modification platform 05 4 is connected to the type and quantity verification device 03; the data upload and modification platform 04 sends the replenishment commodity category data and the replenishment commodity quantity data to the type and quantity verification device 03; the type and quantity verification device 03 compares the received commodity category information with the replenishment commodity category data, and compares the commodity quantity information with the replenishment commodity quantity data to form replenishment result information, and sends the replenishment result information to the data upload and modification platform 04; the fault reporting device 05 is respectively connected to the visual sensor 01, the weight sensor 02 and the type and quantity verification device 03, the fault reporting device 05 monitors the working status of the visual sensor 01 and the weight sensor 02, and sends the fault information to the type and quantity verification device 03 for reporting.

[0045] The system that ensures the accuracy of the smart cabinet replenishment data uses the visual sensor 01 to confirm the types of goods on the container after replenishment and form the commodity category information. The weight sensor 02 is used to confirm the quantity information of the goods on the container after replenishment and form the commodity quantity information. The type and quantity verification device 03 comprehensively processes the commodity category information, commodity quantity information, replenishment commodity category data and replenishment commodity quantity data, determines whether there are errors in the replenishment commodity category data and replenishment commodity quantity data, and prompts correction of the data with errors. The accuracy of the replenishment data is achieved by verifying the data of the equipment and the manual data. At the same time, the fault reporting device 05 can monitor the working status of the visual sensor 01 and the weight sensor 02, and further ensure the accuracy of the data.

[0046] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0047] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0048] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0049] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0050] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0051] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0052] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0053] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0054] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0055] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for ensuring the accuracy of smart cabinet replenishment data, characterized in that: Specifically include: Manually replenish the container, and record the commodity category and commodity quantity in the container after replenishment to form replenishment commodity category data and replenishment commodity quantity data; confirm the commodity category of the goods in the container to form commodity category information; confirm the quantity of the goods in the container to form commodity quantity information; compare the commodity category information with the replenishment commodity category data, and compare the commodity quantity information with the replenishment commodity quantity data to form replenishment result information; Updating and registering data according to the replenishment result information; Among them, confirming the commodity category of the goods in the container specifically includes: using visual recognition technology to identify the commodity type of each cargo position on the container; Confirming the quantity of goods in the container specifically includes: using a weight sensor to perform weight detection on each cargo position on the container, and forming the quantity information of the goods according to the result of the weight detection.

2. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 1, characterized in that: The replenishment result information includes: When the commodity category information is different from the replenishment commodity category data, commodity category correction result information is generated.

3. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 2, characterized in that: Updating and registering data according to the replenishment result information includes: revising the replenishment commodity category data according to the commodity category correction result information, and registering the corrected replenishment commodity category data.

4. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 1, characterized in that: The replenishment result information includes: When the commodity quantity information is different from the replenishment commodity quantity data, commodity quantity correction result information is generated.

5. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 4, characterized in that: Updating and registering data according to the replenishment result information includes: correcting the replenishment commodity quantity data according to the commodity quantity correction result information, and registering the corrected replenishment commodity quantity data.

6. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 1, characterized in that: The replenishment result information includes: When the commodity category information is different from the replenishment commodity category data, and the commodity quantity information is different from the replenishment commodity quantity data, commodity category correction result information and commodity quantity correction result information are simultaneously generated.

7. A method for ensuring the accuracy of smart cabinet replenishment data according to claim 6, characterized in that: Updating and registering data according to the replenishment result information includes: correcting the replenishment commodity category data according to the commodity category correction result information, and correcting the replenishment commodity quantity data according to the commodity quantity correction result information; and registering the corrected replenishment commodity category data and replenishment commodity quantity data.

8. A system for ensuring accurate replenishment data of smart cabinets, characterized in that: A method for ensuring the accuracy of replenishment data of a smart cabinet according to any one of claims 1 to 7 is adopted, comprising a visual sensor, a weight sensor, a type and quantity verification device, a data upload and modification platform, and a fault reporting device; the visual sensor is connected to the type and quantity verification device, and the visual sensor sends the commodity category information to the type and quantity verification device; the weight sensor is connected to the type and quantity verification device, and the weight sensor sends weight information to the type and quantity verification device, and after the type and quantity verification device receives the weight information, the weight information is converted into the commodity quantity information; the data upload and modification platform is connected to the type and quantity verification device; The data upload and modification platform sends the replenishment commodity category data and the replenishment commodity quantity data to the category and quantity verification device; the category and quantity verification device compares the received commodity category information with the replenishment commodity category data, and compares the commodity quantity information with the replenishment commodity quantity data to form replenishment result information, and sends the replenishment result information to the data upload and modification platform; the fault reporting device is respectively connected to the visual sensor, the weight sensor and the category and quantity verification device, and the fault reporting device monitors the working status of the visual sensor and the weight sensor, and sends the fault information to the category and quantity verification device for reporting.

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