Vending machine intelligent goods-replenishing method based on natural language processing
A technology of natural language processing and automatic vending machines, applied in the direction of handling coins or valuable banknotes, coin-operated equipment for distributing discrete items, coin-operated equipment for distributing discrete items, etc., which can solve error-prone, Increased operating costs, cumbersome steps, etc., to achieve the effect of low probability of error and easy replenishment
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Embodiment 1
[0026] Embodiment 1: as Figure 1-4 As shown in Fig. 1, an intelligent replenishment method for vending machines based on natural language processing, the operator scans the QR code on the vending machine to enter the replenishment page. The operator repeats the replenishment information through the handset microphone or headset to the replenishment page, which sends its information to the server. The voice information of the server performs natural language processing, and the analysis results are stored in the database of the corresponding vending machine number in the cloud as structured data on the one hand, and then sent to the replenishment page of the operator in the form of a chart for the operator to carry out Confirmation of replenishment information, the confirmed replenishment structured data is sent by the cloud server to the vending machine that has just been replenished through a wired or wireless network. After receiving the information, the vending machine upd...
Embodiment 2
[0036] Embodiment 2: as Figure 1-4 As shown, an intelligent replenishment method for vending machines based on natural language processing,
[0037] The operator's voice input is shown in Table 1.
[0038] Numbering
Speech input sample
Keywords extracted by speech processing
1
Put 3 bottles of Coke into the No. 1 cargo lane
3 bottles (quantity) Coke (cargo) No. 1 (cargo lane)
2
Put 2 bottles of Sprite into the No. 2 cargo lane
2 bottles (quantity) Sprite (cargo) No. 2 (cargo lane)
3
Put 1 bottle of Nongfu Spring in cargo lane 5
1 bottle (quantity) Nongfu Spring (cargo) No. 5 (cargo lane)
[0039] Step 1. The operator scans the QR code on the vending machine, where the QR code contains the unique identification of the vending machine and the replenishment page of the vending machine.
[0040] Step 2. After the operator is verified, enter the replenishment page, and enter three replenishment information by voice o...
Embodiment 3
[0046] Step 4. The server returns the parsed replenishment list to the operator's replenishment page, that is, [{No. 1 aisle, Coke, 3 bottles}, {No. 2 aisle, 2 Sprite, 2 bottles}, { No. 5 cargo lane, Nongfu Spring, 1 bottle}]. If the analyzed replenishment information is correct, the replenishment is confirmed, the server modifies the background database, updates the cloud virtual vending machine (that is, the cloud data structure corresponding to the actual vending machine), and finally sends the data of the vending machine to the terminal vending machine through the network for supply The vending machine modifies the terminal's local vending machine inventory data. . If the analysis of the replenishment information is wrong, go back to step 2, and the operator will input the replenishment information by voice again. Embodiment 3, operation staff replenishment process:
[0047] 1. The operation personnel complete the replenishment (put 20 bottles of Nongfu Spring in the 1st...
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