CN114638574A - A system and method for ensuring accurate replenishment data of smart cabinets - Google Patents

Abstract

The application provides a system and a method for ensuring the accuracy of replenishment data of an intelligent cabinet, wherein the method comprises the following steps: manually replenishing goods in the goods container, and recording the commodity type and the commodity quantity in the goods container after replenishment to form replenishment commodity type 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 commodities 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; and updating and registering data according to the replenishment result information. The method is realized by a visual sensor, a weight sensor, a type and quantity checking device, a data uploading and modifying platform and a fault reporting device. The system and the method can avoid replenishment data errors caused by human factors, and can accurately detect the types and the quantity of the replenishment commodities.

Description

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

technical field

The present application relates to the technical field of the Internet of Things, and in particular, to a system and method for ensuring accurate replenishment data of smart cabinets.

Background technique

With the development of the Internet of Things technology, various equipment and facilities in life show a high level of intelligence, which greatly facilitates people's lives and improves people's quality of life. As a new technological method of offline retail, unmanned stores use IoT technology to provide 24-hour retail services. On the one hand, the service time is extended and the traditional retail method is changed. On the other hand, compared with traditional retail , greatly reducing the cost increase caused by artificial retail services, the impact of human factors, and 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.

The goods in the container need to be replenished at certain intervals to meet the situation of continued sales. With fewer container points, replenishment personnel can easily cope with it, but with the increase of container points, the number of goods loaded and unloaded on the container also gradually increases, which brings a greater workload to replenishment personnel. Replenishment work largely depends on the efficiency of replenishment personnel. Therefore, replenishment personnel are prone to make replenishment errors in replenishment tasks with a large amount of tasks. A single method of counting the types and quantities of commodities on the container after each replenishment by replenishment personnel will cause uncontrollable replenishment errors. Over time, after the error increases, it will not only affect the company's commodity supply, but also reduce consumption. The user's sense of experience of the convenience of smart containers will indirectly bring great economic losses to enterprises.

At present, there are also ways to improve the replenishment statistics. The traditional method is that after the replenishment is completed, the replenishment staff will confirm the data multiple times and manually record it through small programs and other recording methods, but this method is mainly because the uncontrollable human factors will cause certain errors. Therefore, the accurate recording and statistics of replenishment data cannot be significantly improved.

Therefore, it is an urgent problem to design a system or method that can ensure the accurate replenishment data of smart cabinets, avoid replenishment data errors caused by human factors, and at the same time can accurately detect the type and quantity of replenished commodities.

SUMMARY OF THE INVENTION

Based on this, the present invention is to overcome the defects of the prior art and provide a method for ensuring the accuracy of the replenishment data of the smart cabinet. The detected commodity category information and commodity quantity information are compared and verified to obtain accurate smart cabinet replenishment data to ensure the accuracy of replenishment data. At the same time, the manually inputted category data and quantity data of replenishment commodities can be trimmed according to the verification results of the category data and quantity data of replenishment commodities and the commodity category information and commodity quantity information detected on the container. Ensure the consistency and correctness of replenishment data.

The invention also provides a system for ensuring the accurate replenishment data of the smart cabinet, confirming the commodity type on the container after replenishment through the visual sensor, and forming commodity type information. The quantity information of the goods on the container after replenishment is confirmed by the weight sensor, and the quantity information of the goods is formed. 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 is an error in the replenishment commodity category data and replenishment commodity quantity data, and determines whether there is an error in the replenishment commodity category data and replenishment commodity quantity data. data for prompt correction. Accurate replenishment data is achieved through the verification of equipment data and 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 improve the accuracy of the data.

The first technical solution provided by the present invention:

A method for ensuring accurate replenishment data of smart cabinets, which specifically includes: manually replenishing containers, recording commodity categories and commodity quantities in the containers after replenishment, and forming 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 number of commodities 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 and replenishment Comparing the quantity data of the goods in stock to form the replenishment result information; update and register the data according to the replenishment result information. In the above-mentioned implementation process, by comparing and verifying the replenishment commodity category data and replenishment commodity quantity data manually performed replenishment statistics and the commodity category information and commodity quantity information detected on the container, an accurate smart cabinet is obtained. Replenishment data to ensure the accuracy of replenishment data. At the same time, the manually inputted category data and quantity data of replenishment commodities can be trimmed according to the verification results of the category data and quantity data of replenishment commodities and the commodity category information and commodity quantity information detected on the container. Ensure the consistency and correctness of replenishment data.

Preferably, confirming the goods in the container by commodity analogy specifically includes: using visual recognition technology to identify the type of commodity for each cargo space on the container. In the above implementation process, the use of visual recognition technology to obtain the category information of commodities can effectively ensure the accuracy of the obtained data.

Preferably, confirming the quantity of commodities 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 according to the result of the weight detection. In the above implementation process, the quantity of commodities is monitored by the weight sensor, the measurement is simple, and the quantity data can be obtained through the conversion of the weight data.

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, the commodity category information obtained by the device is used as the verification standard, which can ensure the accuracy of the verification and improve the correctness of the data.

Preferably, updating and registering the 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 revised replenishment commodity category data. In the above implementation process, the deviation of data verification is directly trimmed, which can ensure the accuracy of the commodity category data obtained after replenishment in real time.

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, the commodity category information obtained by the device is used as the verification standard, which can ensure the accuracy of the verification and improve the correctness of the data.

Preferably, updating and registering data according to the replenishment result information includes: revising the replenishment commodity quantity data according to the commodity quantity revision result information, and registering the revised replenishment commodity quantity data. In the above implementation process, the deviation of the data verification is directly corrected, which can ensure the accuracy of the commodity quantity data obtained after replenishment in real time.

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 category data of the replenished commodities and the data of the quantity of the commodities to be replenished are the 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.

Preferably, updating and registering the data according to the replenishment result information includes: revising the replenishment commodity category data according to the commodity category revision result information, and at the same time revising the replenishment commodity quantity data according to the commodity quantity revision result information; The revised replenishment item category data and replenishment item quantity data are registered. In the above implementation process, registration is carried out after data trimming is completed to form accurate data of container commodity data after this replenishment, which provides an important and accurate basis for later replenishment and enterprise supply of commodities.

The second technical scheme provided by the present invention:

A system for ensuring accurate replenishment data of smart cabinets, using the method described in the first technical solution to ensure accurate replenishment data of smart cabinets, including visual sensors, weight sensors, type and quantity verification devices, data uploading and modification The platform and the fault reporting device; the visual sensor is connected to the type and quantity verification device, and the visual sensor sends the commodity type information to the type and quantity verification device; the weight sensor is connected to the type and quantity verification device, and the weight sensor is connected to the type and quantity verification device. The device sends weight information, and the type and quantity verification device converts the weight information into commodity quantity information after receiving the weight information; the data upload and modification platform is connected to the same type and quantity verification device; the data upload and modification platform is used to verify the type and quantity The device sends the replenishment commodity category data and replenishment commodity quantity data; 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 a supplementary product. The result information of the goods is sent to the data upload and modification platform; the fault reporting device is respectively connected with the visual sensor, the weight sensor and the type and quantity verification device, and the fault reporting device monitors the working status of the visual sensor and the weight sensor. , and send the fault information to the type and quantity verification device for reporting. In the above implementation process, the types of commodities on the container after replenishment are confirmed by visual sensors, and commodity type information is formed. The quantity information of the goods on the container after replenishment is confirmed by the weight sensor, and the quantity information of the goods is formed. 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 is an error in the replenishment commodity category data and replenishment commodity quantity data, and determines whether there is an error in the replenishment commodity category data and replenishment commodity quantity data. data for prompt correction. Accurate replenishment data is achieved through the verification of equipment data and 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.

The beneficial effects of a system and method for ensuring accurate replenishment data of smart cabinets provided by the present invention include:

A method to ensure the accuracy of the replenishment data of smart cabinets. By using the commodity category information obtained by visual technology and the commodity quantity information obtained by using the weight sensor as the benchmark for comparison with the commodity category data and commodity quantity data recorded by the replenishment personnel, the commodity classification data is completed. The proofreading and modification of category data and commodity quantity data can ensure the correctness and accuracy of commodity category data and commodity quantity data recorded by replenishment personnel, and effectively avoid replenishment data errors caused by human factors.

In addition, using the data of each replenishment to establish a replenishment analysis model to predict the subsequent replenishment cycle and replenishment content, provide replenishment personnel with a more reasonable replenishment cycle and replenishment content, which can effectively improve replenishment personnel. The efficiency of replenishment can also assist replenishment personnel to ensure the accuracy and correctness of replenishment data.

A system for ensuring accurate replenishment data of smart cabinets uses visual sensors to confirm the types of commodities on the containers after replenishment, and form commodity category information. The quantity information of the goods on the container after replenishment is confirmed by the weight sensor, and the quantity information of the goods is formed. 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 is an error in the replenishment commodity category data and replenishment commodity quantity data, and determines whether there is an error in the replenishment commodity category data and replenishment commodity quantity data. data for prompt correction. Accurate replenishment data is achieved through the verification of equipment data and 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.

Description of drawings

1 is a flowchart of a method for ensuring accurate replenishment data of smart cabinets provided by an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a system for ensuring accurate replenishment data of a smart cabinet according to an embodiment of the present invention.

Icons: 01, visual sensor; 02, weight sensor; 03, type and quantity verification device; 04, data upload and modification platform; 05, fault reporting device.

Detailed ways

The present invention will be described in further detail below, but the embodiments of the present invention are not limited thereto.

This application will present various aspects, embodiments, or features around a system that may include a plurality of devices, components, modules, and the like. It is to be understood and appreciated that the various systems may include additional devices, components, modules, etc., and/or may not include all of the devices, components, modules, etc. discussed in connection with the figures. In addition, combinations of these schemes can also be used.

In addition, in the embodiments of the present application, words such as "exemplarily" and "for example" are used to represent examples, illustrations or illustrations. Any embodiment or design described in this application as "exemplary" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of the word example is intended to present a concept in a concrete way. In addition, in the embodiments of the present application, the meanings expressed by "and/or" may be both, or may be either one of the two.

With the development of the Internet of Things technology, various equipment and facilities in life show a high level of intelligence, which greatly facilitates people's lives and improves people's quality of life. As a new technological method of offline retail, unmanned stores use IoT technology to provide 24-hour retail services. On the one hand, the service time is extended and the traditional retail method is changed. On the other hand, compared with traditional retail , greatly reducing the cost increase caused by artificial retail services, the impact of human factors, and 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.

The goods in the container need to be replenished at certain intervals to meet the situation of continued sales. With fewer container points, replenishment personnel can easily cope with it, but with the increase of container points, the number of goods loaded and unloaded on the container also gradually increases, which brings a greater workload to replenishment personnel. Replenishment work largely depends on the efficiency of replenishment personnel. Therefore, replenishment personnel are prone to make replenishment errors in replenishment tasks with a large amount of tasks. A single method of counting the types and quantities of commodities on the container after each replenishment by replenishment personnel will cause uncontrollable replenishment errors. Over time, after the error increases, it will not only affect the company's commodity supply, but also reduce consumption. The user's sense of experience of the convenience of smart containers will indirectly bring great economic losses to enterprises.

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

Please refer to FIG. 1 , which is a flowchart of a method for ensuring accurate replenishment data of a smart cabinet according to an embodiment of the present invention. The method for ensuring the accurate replenishment data of the smart cabinet specifically includes: manually replenishing the container, recording the commodity category and commodity quantity in the container after replenishment, and forming replenishment commodity category data and replenishment commodity quantity data; The goods in the container are confirmed by the commodity category to form the commodity category information; the commodity quantity in the container is confirmed to form the commodity quantity information; the commodity category information is compared with the replenishment commodity category data, and the commodity quantity information and the replenishment commodity are compared. Quantity data is compared to form replenishment result information; data is updated and registered according to replenishment result information.

This method obtains accurate smart cabinet replenishment data by comparing and verifying the replenishment commodity category data and replenishment commodity quantity data manually performed replenishment statistics with the commodity category information and commodity quantity information detected on the container. , to ensure the accuracy of the replenishment data. At the same time, the manually inputted category data and quantity data of replenishment commodities can be trimmed according to the verification results of the category data and quantity data of replenishment commodities and the commodity category information and commodity quantity information detected on the container. Ensure the consistency and correctness of replenishment data.

There are various ways and methods for obtaining the commodity category data and commodity quantity data. In this implementation, the commodity analogy confirmation is performed on the goods in the container, which specifically includes: using visual recognition technology to perform commodity type identification for each cargo space on the container. identify. Using visual recognition technology to obtain commodity type information can accurately identify the commodity type on the container after replenishment, and effectively ensure the accuracy of the acquired data. Confirming the quantity of commodities 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 according to the result of the weight detection. Commodities have specific weight information, and the number of commodities can be obtained indirectly according to the weight of the container, so there is no need to set up complex equipment for directly counting the number of commodities, and the quantity of commodities is monitored by the weight sensor 02, the measurement is simple, and the conversion of weight data is carried out. Quantity data can be obtained.

The commodity category information obtained by using the visual recognition technology and the commodity quantity information obtained by using the weight sensor 02 are used as the reference values for verifying the manually entered replenishment commodity category data and replenishment commodity quantity data. As a result, data correction is required. specifically:

The forming of the replenishment result information includes: when the commodity category information is different from the replenishment commodity category data, forming the commodity category correction result information. The commodity category information obtained by the visual recognition technology is very accurate. 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 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 revised replenishment commodity category data. If there is a deviation in the data verification, by prompting the replenishment personnel, the replenishment personnel can modify the commodity category data uploaded by themselves according to the commodity category information, and then obtain the unified and accurate commodity category data, which can guarantee the commodity category obtained after replenishment in real time. data accuracy.

Similarly, forming the replenishment result information includes: when the commodity quantity information is different from the replenishment commodity quantity data, forming the 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: revising the replenishment commodity quantity data according to the commodity quantity revision result information, and registering the revised replenishment commodity quantity data. If there is a deviation in data verification, by prompting the replenishment personnel, the replenishment personnel can modify the commodity quantity data uploaded by themselves according to the commodity quantity information, and then obtain the same accurate commodity quantity data, which can guarantee the quantity of commodities obtained after replenishment in real time. data accuracy.

In addition, 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. Replenishment commodity category data and 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 commodity category data and commodity quantity data. 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 at the same time revising the replenishment commodity quantity data according to the commodity quantity revision result information; Replenishment item category data and replenishment item quantity data are registered. After the data trimming is completed, registration is carried out to form accurate data of the container commodity data after this replenishment, which provides an important and accurate basis for the later replenishment and the supply of goods by the enterprise.

It can be understood 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 is inconsistent. When there is a discrepancy with the quantity data of the replenishment item. After the replenishment personnel obtain the verified replenishment result information, there are two options. One is based on the verification benchmark data, that is, commodity category information and commodity quantity information. And the number of commodities is adjusted so that the actual commodity category and commodity quantity are consistent with the data of commodity category information and commodity quantity information. Another way is that the replenishment personnel adjust the commodity category and commodity quantity in the smart container according to the replenishment commodity category data and replenishment commodity quantity data recorded at the beginning, so as to promote the commodity category information and replenishment obtained by the visual sensor 01. The replenishment commodity category data recorded by the personnel is the same, which also causes the commodity quantity information obtained by the weight sensor 02 to be the same as the replenishment commodity quantity data recorded by the replenishment personnel.

In addition, it can be considered that since the category and quantity of commodities involved in replenishment are related to the sales of the container, statistics and analysis of the replenishment of each container can be performed to form a replenishment analysis model, and then predict each container. The cycle of each replenishment of the container, the category of commodities to be replenished, and the quantity to be replenished provide replenishment information for replenishment personnel, which can assist replenishment personnel to a certain extent, and does not require replenishment personnel to conduct repeated untimely inspections. Checking and viewing can help replenishment personnel to replenish as needed on a regular basis, and complete replenishment work efficiently. At the same time, after replenishment, according to the replenishment data, the replenishment cycle of each container, the category of replenishment commodities and the quantity of replenishment commodities are adjusted to accurately predict replenishment data and provide replenishment personnel with more accurate replenishment data. The cargo information assists it to efficiently complete the replenishment work.

Of course, there are various models for replenishment analysis. A simpler way is to arrange the statistics of each category of commodities and quantities according to the replenishment cycle, and determine the replenishment cycle and replenishment of different categories of commodities according to the existing mathematical model. The law of quantity, and according to this law, the prediction of possible replenishment is carried out, and the time point of replenishment and the type and quantity of replenishment are provided for replenishment personnel. Of course, this can be added to its learning algorithm to optimize the prediction of the replenishment cycle and replenishment quantity of each item.

The embodiment of the present invention also provides a system for ensuring accurate replenishment data of smart cabinets. Please refer to FIG. 2 , which is a schematic structural diagram of a system for ensuring accurate replenishment data of a smart cabinet according to an embodiment of the present invention.

A system for ensuring accurate replenishment data of smart cabinets provided by an embodiment of the present invention adopts the method for ensuring accurate replenishment data of smart cabinets provided in this embodiment, including a visual sensor 01 , a weight sensor 02 , and a type and quantity verification device 03 , data upload and modification platform 04 and fault reporting device 05; visual sensor 01 is connected to type and quantity verification device 03, visual sensor 01 sends commodity category information to type and quantity verification device 03; weight sensor 02 and type and quantity verification device 03 The inspection device 03 is connected, and the weight sensor 02 sends the weight information to the type and quantity verification device 03. After the type and quantity verification device 03 receives the weight information, it converts the weight information into the commodity quantity information; the data upload and modification platform 04 has the same type and The quantity verification device 03 is connected; 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 commodity category data is compared, the commodity quantity information is compared with the replenishment commodity quantity data, the replenishment result information is formed, and the replenishment result information is sent to the data upload and modification platform 04; the fault reporting device 05 is respectively connected with the visual sensor 01, The weight sensor 02 and the type and quantity verification device 03 are connected, and 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.

The system for ensuring accurate replenishment data of smart cabinets confirms the types of commodities on the containers after replenishment through the visual sensor 01, and forms commodity type information. The weight sensor 02 is used to confirm the commodity quantity information 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 is an error in the replenishment commodity category data and replenishment commodity quantity data, and determines whether there is an error in the replenishment commodity category data and replenishment commodity quantity data. Error data is prompted for correction. Accurate replenishment data is achieved through the verification of equipment data and 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 improve the accuracy of the data.

In this application, "at least one" means one or more, and "plurality" means two or more. "At least one item(s) below" or similar expressions thereof refer to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one item (a) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .

It should be understood that, in various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not be dealt with in the embodiments of the present application. implementation constitutes any limitation.

Those of ordinary skill in the art can realize 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. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

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

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 alone, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, removable hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

The above examples only represent several embodiments of the present invention, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can also be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims (10)

1. A method for ensuring accurate replenishment data of smart cabinets, characterized in that it specifically includes: manually replenishing the containers, and recording commodity categories and commodity quantities in the containers 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 commodity quantity in the container to form commodity quantity information; compare the commodity category information with the replenishment commodity category Data is compared, and the commodity quantity information is compared with the replenishment commodity quantity data to form replenishment result information; data is updated and registered according to the replenishment result information. 2. A method for ensuring accurate replenishment data of smart cabinets according to claim 1, characterized in that, confirming the goods in the container by commodity analogy, specifically comprising: using visual recognition technology to identify each item on the container Bit for identification of commodity types. 3. The method for ensuring accurate replenishment data of smart cabinets as claimed in claim 1, wherein confirming the quantity of commodities in the container specifically includes: using a weight sensor to carry out a process for each cargo position on the container. Weight detection, and forming the commodity quantity information according to the result of the weight detection. 4. A method for ensuring accurate replenishment data of smart cabinets according to claim 1, wherein forming replenishment result information comprises: When the commodity category information is different from the replenishment commodity category data, commodity category correction result information is formed. 5 . The method for ensuring the accuracy of the replenishment data of the smart cabinet according to claim 4 , wherein updating and registering the data according to the replenishment result information comprises: correcting the result information according to the commodity category, The replenishment commodity category data is revised, and the revised replenishment commodity category data is registered. 6. The method for ensuring accurate replenishment data of smart cabinets according to claim 1, wherein forming replenishment result information comprises: When the commodity quantity information is different from the replenishment commodity quantity data, the commodity quantity correction result information is formed. 7 . The method for ensuring the accuracy of replenishment data of a smart cabinet according to claim 6 , wherein updating and registering data according to the replenishment result information comprises: correcting the result information according to the commodity quantity, The replenishment commodity quantity data is revised, and the revised replenishment commodity quantity data is registered. 8. A method for ensuring accurate replenishment data of smart cabinets according to claim 1, wherein forming replenishment result information comprises: 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 formed. 9 . The method for ensuring the accuracy of the replenishment data of the smart cabinet according to claim 8 , wherein updating and registering the data according to the replenishment result information comprises: correcting the result information according to the commodity category, The replenishment commodity category data is revised, and at the same time, the replenishment commodity quantity data is revised according to the commodity quantity revision result information; the revised replenishment commodity category data and replenishment commodity quantity data are registered. 10. A system for ensuring accurate replenishment data of smart cabinets, characterized in that a method for ensuring accurate replenishment data of smart cabinets according to any one of claims 1-9 is adopted, comprising a visual sensor, a weight sensor, a Type and quantity verification device, data upload and modification platform, and fault reporting device; the visual sensor is connected to the type and quantity verification device, and the visual sensor sends the commodity category to the type and quantity verification device information; the weight sensor is connected to the type and quantity verification device, 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 The weight information is converted into the commodity quantity information; the data upload and modification platform is connected with the type and quantity verification device; the data upload and modification platform sends the supplementary information to the type and quantity verification device. The commodity category data and the replenishment commodity quantity data; 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 category data. Comparing the quantity data of replenished commodities, forming replenishment result information, and sending the replenishment result information to the data upload and modification platform; the fault reporting device is respectively connected with the visual sensor, the weight sensor and the The type and quantity verification device is connected, and the fault reporting device monitors the working state of the visual sensor and the weight sensor, and sends fault information to the type and quantity verification device for reporting.

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