Labeling classification method of e-commerce commodities

Abstract

The application discloses a kind of labelization classification method of e-commerce commodity, including benchmark coordinate setting step, product information acquisition step and pick-up route planning step.The application stores electronic edition's coordinate in server, after knowing product position information, it is demarcated in coordinate, then according to the coordinate identification and pick-up route that naked eye can read are inquired.The signal strength of passive label single emission of the application can be set as several hundreds or even several thousands times of the signal strength of active label single emission, and the measured product information received by the first read-write device is almost not lost;The style number only corresponds to the type of product and does not correspond to a specific product, and the server can determine the product information that meets the order from the large amount of received product information with less calculation amount.

Description

Technical Field

[0001] This invention relates to the field of label classification and detection technology, and in particular to a label classification method for e-commerce products. Background Technology

[0002] With the rapid development of e-commerce platforms, online shopping has become an important way for people to purchase products in their daily lives. Merchants often store multiple products purchased from manufacturers in the same warehouse. When they receive an order from a buyer, they pack the goods according to the order and then ship them to the buyer's address. During the packing process, merchants need to manually locate the warehouse according to the orders. With a large quantity of goods stored in the warehouse, this is time-consuming and prone to errors. Therefore, how to quickly complete order packing is a pressing problem that needs to be solved. Summary of the Invention

[0003] The purpose of this invention is to provide a tagging and classification method for e-commerce products that can quickly locate ordered products in a warehouse.

[0004] To achieve the above objectives, the technical solution adopted by this invention is: a labeling and classification method for e-commerce products, including a baseline coordinate setting step, a product information acquisition step, and a pickup route planning step.

[0005] The reference coordinate setting step involves setting coordinate markers within the warehouse. These coordinate markers reflect the location information within the warehouse and are readable by the naked eye. The server stores an electronic version of a complete coordinate system formed by several of these coordinate markers.

[0006] In the product information acquisition step, each product in the warehouse is affixed with a corresponding tag. The chip in the tag stores product information, including product location information and product category number. After the first reader transmits an radio frequency signal, the first reader receives the product information sent by the tag as the actual product information. The first reader then sends the actual product information to the server.

[0007] In the pickup route planning step, the server obtains order information as baseline product information. The server includes a product database, which stores several product names and corresponding style numbers. Based on the baseline product information, the server determines the actual product information with the same style number from several actual product information as the confirmed product information. The server then plans the pickup route based on the product location information in the confirmed product information and its position within the coordinate system.

[0008] Preferably, the coordinate markers are located on the top of the warehouse.

[0009] Preferably, in the product information acquisition step, the tag uses indoor Bluetooth positioning to obtain its own product location information.

[0010] Preferably, in the pickup route planning step, the server sends the pickup route to the tablet, and the tablet displays its real-time location and the pickup route.

[0011] Preferably, in the picking route planning step, several tracks are laid on the warehouse floor, and a slider that is slidably connected to the tracks is fixed at the bottom of the picking box.

[0012] Preferably, in the pickup route planning step, the track is equipped with a linear drive device for driving the pickup box to slide.

[0013] Preferably, in the pickup route planning step, the server gradually eliminates the actual product information that does not match the benchmark product information according to the numerical arrangement of the product category number.

[0014] As a preferred approach, the labeling and classification method for e-commerce products also includes a product address binding step and a product address confirmation step;

[0015] In the product address binding step, the product information also includes a feature number. When the product is placed in the pickup box, the second reader / writer set on the pickup box emits an radio frequency signal. The second reader / writer receives the product information sent by the tag located in the pickup box as product locking information. The second reader / writer sends the locked product information to the server. The server binds the feature number in the locked product information with the order delivery address to obtain address binding information.

[0016] In the product address confirmation step, before the logistics shipment, after the third reader transmits an radio frequency signal, the third reader receives the product information sent by the tag located in the shipping area as the logistics product information. The third reader sends the logistics product information to the server, and the server compares the feature number in the logistics product information with the address binding information and outputs an address normal signal or an address abnormal signal.

[0017] Preferably, in the product address confirmation step, if it is necessary to determine the shipping area, the feature number in the logistics product information is compared with the address binding information to obtain the corresponding order delivery address, and only the region of the order delivery address is identified.

[0018] Preferably, in the product address confirmation step, if it is necessary to determine the accurate address of all products in a single package, the address binding information corresponding to the address is obtained, and the feature number in the logistics product information is compared with the feature number in the address binding information.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] 1. After the reader transmits the radio frequency signal, the tag in the electromagnetic field it forms will send product information to the reader (passive tag). Therefore, the signal strength of the passive tag transmitted once can be set to hundreds or even thousands of times that of the active tag transmitted once. The measured product information received by the first reader will hardly be lost.

[0021] 2. The style category number only corresponds to the product category and does not correspond to a specific product. Therefore, the number of style category numbers is relatively small, and the server only needs to perform a small amount of calculation to determine the product information that matches the order from the large amount of product information received.

[0022] 3. If only product location information sent by the tag is used for retrieval, the tag needs to send a signal throughout the entire retrieval process to determine the location of all products in the order and complete the retrieval, resulting in significant power consumption for the tag. This invention stores electronic coordinates on a server. After obtaining the product location information, it is marked on the coordinate system, and then the product is located using visually readable coordinates. Therefore, in this invention, the tag being searched only needs to send a signal once, and the signal strength of a single transmission can be set to be relatively high.

[0023] 4. Planning the pickup route after determining the product location can save pickup time. Attached Figure Description

[0024] Figure 1 This is a schematic diagram illustrating the principle of a tag-based classification method for e-commerce products.

[0025] The following are explanations of the reference numerals in the attached diagram: 011, Baseline coordinate setting steps; 012, Product information acquisition steps; 013, Pickup route planning steps; 014, Product address binding steps; 015, Product address confirmation steps. Detailed Implementation

[0026] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0027] Example 1:

[0028] like Figure 1 As shown, the e-commerce product tagging and classification method includes step 011 of setting the reference coordinates, step 012 of obtaining product information, and step 013 of planning the pickup route.

[0029] The reference coordinate setting step 011 involves setting coordinate markers within the warehouse. These markers reflect the location information within the warehouse and are readable by the naked eye. The server stores an electronic version of a complete coordinate system formed by several of these markers. If retrieval is based solely on the product location information sent by the tags, the tags would need to send signals throughout the entire retrieval process to determine the location of all products in the order and complete the retrieval, resulting in significant power consumption. This invention stores electronic coordinates on the server. After obtaining the product location information, it is marked on the coordinate system, and then the search is performed based on the visually readable coordinate markers. Therefore, in this invention, the tag being searched only needs to send a signal once, and the signal strength of a single transmission can be set to be relatively high.

[0030] In step 012 of the product information acquisition, each product in the warehouse is affixed with a corresponding tag. The chip in the tag stores product information, including product location information and product category number. After the first reader emits an radio frequency signal, the first reader receives the product information sent by the tag as the measured product information. The first reader then sends the measured product information to the server. Only tags within the electromagnetic field formed by the reader's radio frequency signal will send product information to the reader (passive tag). Therefore, the signal strength of a single transmission of the passive tag in this invention can be set to hundreds or even thousands of times that of a single transmission of the active tag, and the measured product information received by the first reader is almost never lost.

[0031] The server progressively eliminates measured product information that does not match the benchmark product information, following the numerical order of the product category number. This program setting reduces the computational load required by the server when searching for and confirming product information.

[0032] In step 013 of the pickup route planning, the server obtains order information as baseline product information. The server includes a product database storing several product names and corresponding style numbers. Based on the baseline product information, the server determines the actual product information with the same style number from among the measured product information as confirmed product information. The pickup route is then planned based on the product location information within the coordinate system. Since the style number only corresponds to a product category and not a specific product, the number of style numbers is relatively small. The server only needs to perform minimal calculations to determine the product information matching the order from the large amount of received product information. Planning the pickup route after determining the product location saves pickup time.

[0033] As another example, the coordinate markers are placed on the top of the warehouse. With the coordinate markers positioned on the top of the warehouse, they are less likely to be obstructed, making it easier for the markers to guide staff.

[0034] As another example, in step 012 of the product information acquisition, the tag uses indoor Bluetooth positioning to obtain its own product location information. Indoor GPS positioning is less effective than indoor Bluetooth positioning, which is significantly more accurate.

[0035] As another example, in the pickup route planning step 013, the server sends the pickup route to a tablet, which displays its real-time location and the pickup route. The information displayed on the tablet can guide staff to pick up the goods in real time, preventing omissions when there are many products to be picked up.

[0036] As another example, in the pickup route planning step 013, several tracks are laid on the warehouse floor, and a slider that is slidably connected to the track is fixed to the bottom of the pickup box. A linear drive device is provided on the track to drive the pickup box to slide. This structure facilitates the movement of the pickup box and reduces the workload of staff.

[0037] As another example, the tagging and classification method for e-commerce products also includes product address binding step 014 and product address confirmation step 015;

[0038] In the product address binding step 014, the product information also includes a feature number. When the product is placed in the pickup box, the second reader / writer installed on the pickup box emits an radio frequency signal. The second reader / writer receives the product information sent by the tag located in the pickup box as the product locking information (the pickup box can be set as a metal box, with the part of the second reader / writer used to receive product information located inside the box, and the part used to send wireless signals to communicate with the server located outside the box. There are many other technical solutions in the prior art that can achieve the above effect, which will not be elaborated here. The product address confirmation step 015 also adopts the same method, which will not be elaborated here). The second reader / writer sends the locked product information to the server, and the server binds the feature number in the locked product information with the order delivery address to obtain address binding information. After the product feature number is bound with the order delivery address, the selected specific product is distinguished from other products of the same type. This will not cause confusion and will facilitate product traceability later.

[0039] In step 015 of the product address confirmation process, before logistics shipment, the third reader transmits an radio frequency signal. The third reader then receives product information from a tag located in the shipping area as logistics product information. This information is sent to the server, which compares the feature number in the logistics product information with the address binding information, outputting either an address normal signal or an address abnormal signal. There are other steps between pickup and logistics shipment, which may lead to allocation errors. The above procedure allows for batch detection of products and their corresponding addresses, preventing shipment errors.

[0040] In the product address confirmation step 015, if it is necessary to determine the shipping area (products from the same region are stacked together), the feature number in the logistics product information is compared with the address binding information to obtain the corresponding order delivery address. Only the region of the order delivery address is identified. If the identified regions are the same, an address normal signal is output; if the identified regions are different, an address abnormal signal is output.

[0041] As another example, in the product address confirmation step 015, if it is necessary to determine the accurate address of all products in a single package (packages are output in batches in an assembly line manner), the address binding information corresponding to the address is obtained. The feature number in the logistics product information is compared with the feature number in the address binding information. If all feature numbers in the logistics product information correspond to the same delivery address, an address normal signal is output; if the delivery addresses corresponding to all feature numbers in the logistics product information are different, an address abnormal signal is output.

[0042] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A label-based classification method for e-commerce products, characterized in that... This includes the steps of setting the reference coordinates (011), obtaining product information (012), and planning the pickup route (013). The reference coordinate setting step (011) involves setting coordinate markers within the warehouse. These coordinate markers reflect the location information within the warehouse and can be read by the naked eye. The server stores an electronic version of a complete coordinate system formed by several of these coordinate markers. In the product information acquisition step (012), each product in the warehouse is affixed with a corresponding tag. The chip of the tag stores product information, including product location information and product category number. After the first reader transmits an radio frequency signal, the first reader receives the product information sent by the tag as the actual product information. The first reader then sends the actual product information to the server. In the pickup route planning step (013), the server obtains order information as the baseline product information. The server includes a product database, which stores several product names and corresponding style numbers. The server determines the actual product information with the same style number from several actual product information based on the baseline product information as the confirmed product information. The pickup route is planned based on the product location information in the confirmed product information and its position in the coordinate system. The labeling and classification method for e-commerce products also includes a product address binding step (014) and a product address confirmation step (015); In the product address binding step (014), the product information also includes a feature number. When the product is placed in the pickup box, the second reader on the pickup box emits an radio frequency signal. The second reader receives the product information sent by the tag located in the pickup box as product locking information. The second reader sends the locked product information to the server. The server binds the feature number in the locked product information with the order delivery address to obtain address binding information. In the product address confirmation step (015), before the logistics shipment, after the third reader transmits the radio frequency signal, the third reader receives the product information sent by the tag located in the shipping area as the logistics product information. The third reader sends the logistics product information to the server. The server compares the feature number in the logistics product information with the address binding information and outputs an address normal signal or an address abnormal signal.

2. The labeling and classification method for e-commerce products according to claim 1, characterized in that, The coordinate markers are located on the top of the warehouse.

3. The labeling and classification method for e-commerce goods according to claim 1, characterized in that, In the product information acquisition step (012), the tag uses indoor Bluetooth positioning to obtain its own product location information.

4. The labeling and classification method for e-commerce products according to claim 1, characterized in that, In the pickup route planning step (013), the server sends the pickup route to the tablet, and the tablet displays its real-time location and the pickup route.

5. The method for labeling and classifying e-commerce goods according to claim 1, characterized in that, In the picking route planning step (013), several tracks are laid on the warehouse floor, and a slider that is slidably connected to the track is fixed at the bottom of the picking box.

6. The method for labeling and classifying e-commerce goods according to claim 5, characterized in that, In the pickup route planning step (013), the track is equipped with a linear drive device for driving the pickup box to slide.

7. The labeling and classification method for e-commerce products according to claim 1, characterized in that, In the picking route planning step (013), the server gradually eliminates the actual product information that does not match the benchmark product information according to the numerical arrangement of the product category number.

8. The method for labeling and classifying e-commerce goods according to claim 6, characterized in that, In the product address confirmation step (015), if it is necessary to determine the shipping area, the feature number in the logistics product information is compared with the address binding information to obtain the corresponding order delivery address, and only the region of the order delivery address is identified.

9. The method for labeling and classifying e-commerce goods according to claim 6, characterized in that, In the product address confirmation step (015), if it is necessary to determine the accurate address of all products in a single package, the address binding information corresponding to the address is obtained, and the feature number in the logistics product information is compared with the feature number in the address binding information.

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