TWI818214B - Automatic dispatch system and method for automatic guided vehicle - Google Patents

Abstract

An automatic dispatch system for automatic guided vehicle includes a product database, a shopping history information acquisition module, a purchase item estimation module, an automatic guided vehicle database, a automatic guided vehicle dispatch demand assessment module, and a automatic guided vehicle dispatch modules. An automatic dispatching method of the automatic guided vehicle is to first use the sensor module to detect an identification device and send out a consumer's entry signal; then, according to the consumer's entry signal to retrieve a shopping history information; then, according to the shopping history information prediction estimate one of the products that consumers want to purchase this time; then, compare the product specifications corresponding to this estimated purchase of products and the maximum carrying capacity of various automatic guided vehicles. In order to send an automatic guided vehicle dispatch demand signal; finally, according to the automatic guided vehicle dispatch demand signal, dispatch a suitable automatic guided vehicle.

Description

Automatic dispatch system for unmanned trucks and automatic dispatch method for unmanned trucks

The present invention relates to an automatic dispatching system for unmanned vehicles and an automatic dispatching method for unmanned vehicles. In particular, it refers to an automatic dispatching system for unmanned vehicles that dispatches suitable unmanned vehicles according to consumers' consumption habits. Automatic dispatch method of unmanned cargo vehicles.

In existing shopping malls such as supermarkets, hypermarkets or shopping malls, trolleys or baskets are usually provided at the entrance for consumers to pick up, so that consumers can purchase more products.

As mentioned above, since the loading capacity of existing trolleys or baskets is fixed, in practice it is easy for consumers to load only a little something when pushing a trolley for shopping, or when carrying a basket for shopping. Only then did I realize that the basket couldn’t fit in it. Among them, although consumers will not notice any inconvenience when the trolley is loaded far below its carrying capacity, in fact it can easily affect the smoothness of the entire store's movement; in contrast, when the trolley is loaded with When there are no more items, consumers often need to get another basket to hold more items, which is very inconvenient and may even give up the idea of continuing shopping. In addition, in addition to the limited loading capacity of the basket, most of its components are made of lightweight plastic materials, which limits the load-carrying capacity.

In view of the previous technology, existing shopping malls usually provide shopping carts with large loading capacity or easy-to-carry baskets for consumers to use for shopping. However, in fact, it is easy for consumers to choose shopping carts. The problem that the carrying capacity of the shopping cart does not match the amount of space occupied by the goods to be purchased leads to the possibility that the shopping vehicle cannot hold the goods they need to buy, or the large-capacity shopping vehicle only carries a very small amount of goods. This causes great inconvenience for consumers when shopping; therefore, the main purpose of the present invention is to provide an automatic delivery system for unmanned trucks and an automatic dispatch method for unmanned trucks, which can be provided based on consumers' past consumption habits. A cart that is more suitable for consumers to shop.

In order to solve the problems of the prior art, the necessary technical means adopted by the present invention are to provide an automatic dispatching system for unmanned cargo vehicles, which includes a product database, a shopping history information acquisition module, and a purchase item estimation module. , a vehicle database, a vehicle dispatch needs assessment module and a vehicle dispatch module.

The product database stores multiple product specifications based on multiple product items sold in a shopping mall. The shopping history information acquisition module is used to acquire the shopping history information of a consumer shopping in the mall when the consumer enters the mall, and the shopping history information records that the consumer has shopped in the mall. One of the purchased items purchased at the mall and a purchase date of the purchased item.

The purchase item estimating module is connected to the product database and the shopping history information retrieval module to estimate the consumer based on the purchased items and the purchase date in the shopping history information. At least one estimated purchase item among the items will be purchased this time. The cargo vehicle database stores a plurality of cargo vehicle specification information corresponding to a plurality of types of unmanned cargo vehicles, and each of the cargo vehicle specification information has a maximum carrying capacity of the cargo vehicle.

The cargo truck dispatch demand assessment module is connected to the procurement item estimation module and the cargo truck database to compare the product specifications corresponding to the at least one estimated procurement product item and the The maximum load-carrying capacity of a type of unmanned cargo vehicle is used to evaluate an applicable unmanned cargo vehicle among those types of unmanned cargo vehicles that is suitable for carrying at least one estimated purchase item, and based on this issue 1. A demand signal for the dispatch of cargo vehicles that is suitable for unmanned cargo vehicles. The cart dispatch module is communicatively linked to the cart dispatch demand assessment module, thereby receiving and dispatching a suitable unmanned cart of this type to a shopping waiting car where the consumer is based on the cart dispatch demand signal. district.

Another necessary technical means adopted by the present invention is to provide a method for automatically dispatching an unmanned vehicle, which includes the following steps (A) to (E): First, step (A) uses a sensing module to detect a When the identification device enters a shopping mall, it sends a consumer entry signal to a shopping history information acquisition module; step (B) is for the shopping history information acquisition module to retrieve the consumer's information based on the consumer's entry signal. The shopping history information of the shopping mall, and the shopping history information is sent to a purchase item prediction module, wherein the shopping history information records the items of goods that the consumer has purchased in the mall. At least one purchased product item and multiple purchase dates of the at least one purchased product item.

Step (C) is for the purchase item estimating module to estimate the purchase items of the consumer this time based on the at least one previously purchased product item and the purchase dates in the shopping history information. At least one estimated purchase item to be purchased. Step (D) is to use a truck dispatch demand assessment module to compare the product specifications corresponding to the at least one estimated purchase item and the maximum load-carrying capacity of multiple types of unmanned trucks, so as to Among these types of unmanned cargo vehicles, an appropriate unmanned cargo vehicle is evaluated that is suitable for carrying the at least one estimated purchase item, and a dispatch of the applicable unmanned cargo vehicle is issued accordingly. Demand signals.

Step (E) is to use a cart dispatch module to receive and dispatch a suitable unmanned cart of this type to a shopping waiting area where the consumer is located based on the cart dispatch demand signal.

To sum up, the automatic unmanned vehicle dispatching system and the automatic unmanned vehicle dispatching method of the present invention mainly use the shopping history information acquisition module to acquire the consumer's shopping history information, and then analyze the predicted shopping history. Estimating the purchased merchandise items and dispatching suitable unmanned carts to the shopping waiting areas where consumers are based accordingly, so that consumers can use unmanned carts that are more in line with consumers' shopping habits.

Specific embodiments used in the present invention will be further described through the following examples and drawings.

Please refer to the first and second figures. The first figure shows a system block diagram of the unmanned vehicle automatic dispatching system provided by the preferred embodiment of the present invention; the second figure shows the system block diagram of the automatic dispatching system provided by the preferred embodiment of the present invention. A schematic diagram of the unmanned vehicle automatic dispatch system used in shopping malls.

As shown in the first and second figures, an unmanned vehicle automatic dispatch system 100 includes a sensing module 1, a consumer database 2, a product database 3, and a shopping history information acquisition module 4 , a procurement item estimation module 5, a truck database 6, a truck dispatch demand assessment module 7 and a truck dispatch module 8.

The sensing module 1 is installed at an entrance 201 of a shopping mall 200, so that when a consumer CN enters the entrance 201, it is used to sense an identification device ID carried by the consumer CN, and generate an identification device ID corresponding to the consumption accordingly. The consumer entering the store signal S1 of CN; among them, when the sensing module 1 senses the identification device ID, it will read the identification information representing the consumer CN from the identification device ID, such as mobile phone identification code, door number, and ID card. The identification information such as trade name or membership number can represent the identity of the consumer CN, and the identification information is sent through the consumer's store entry signal S1.

In addition, in this embodiment, the sensing module 1 is, for example, an RFID sensor or an NFC sensor, and the identification device ID is, for example, a smartphone, a wearable electronic device, or a proximity card that has an RFID sensing function or an NFC sensing function. Portable identification device.

The consumer database 2 includes a consumer identification data 21 and a shopping history information 22. Both the consumer identification data 21 and the shopping history information 22 respectively correspond to the consumer CN. In this embodiment, the consumer identification data 21 includes the consumer's name or consumer code, and the shopping history information 22 includes a plurality of previously purchased product items corresponding to the consumer identification data 21 and a plurality of previously purchased products corresponding to the consumer identification data 21 . The purchase date of the item; in practice, the purchased items and purchase date can be recorded from the consumer CN's past shopping checkout. For example, the consumer CN is recorded on May 14, June 16, and 7 respectively. On March 15, August 13 and September 15, I purchased a whole box of nuts of a certain brand - mixed flavors.

The product database 3 stores a plurality of product specifications 31 (only one is marked in the figure) based on a plurality of product items sold in the mall 200, and each product specification 31 includes a product size 311 or a product weight 312. In this embodiment, the product item mainly includes the product name, and optionally includes at least one of the brand and the product model, such as a certain brand of nuts - comprehensive flavor, and the product specification 31 includes the product size 311 according to the product item. At least one of the product weight 312. For example, products in small packages are mostly marked with product weight 312 because they take up little space, while products in large packages are mostly marked with product size 311 because they take up a lot of space. For example, the product size 311 of a dining chair will be marked as 60 x 63 x 90 cm; however, if the size and weight of the product are large, the product size 311 and the product weight 312 will also be marked at the same time, such as a full box The product size 311 and product weight 312 of a certain brand of nuts-combined flavors will be marked as 200 x 80 x 90 mm/ 20kg.

The shopping history information acquisition module 4 is communicated with the sensor module 1 and the consumer database 2, and is used to receive the consumer entry signal S1 sent by the sensor module 1 on behalf of the consumer CN entering the shopping mall 200 for shopping. , according to the identification information contained in the consumer's store entry signal S1, the shopping history information 22 of the consumer CN's shopping in the mall 200 is retrieved from the consumer database 2, and the shopping history information 22 is sent as a shopping history signal S2.

The purchase item estimating module 5 is communicated with the product database 3 and the shopping history information acquisition module 4 to receive the shopping history signal S2, and the purchase item estimating module 5 includes a purchasing cycle calculation unit 51 and a purchase item estimating unit 52. The purchase cycle calculation unit 51 calculates a plurality of purchase cycles corresponding to the purchased merchandise items based on the purchase dates; for example, since the shopping history information acquisition module 4 will retrieve the purchase cycles from the consumer database 2 The obtained shopping history information 22 is sent to the purchase item estimation module 5, so the purchase cycle calculation unit 51 can know that the consumer CN is on May 14, June 16, July 15, August 13 and September respectively. 15 purchased a whole box of a certain brand of nuts - comprehensive flavor, and then calculated that the purchase cycle of consumer CN purchasing a whole box of a certain brand of nuts - comprehensive flavor is once a month, and around the 15th.

The purchase item estimating unit 52 is electrically connected to the purchase cycle calculation unit 51 and has a date table (not shown in the figure), so as to make judgments based on the date table, the purchase cycle and the purchase date of the consumer CN entering the mall 200 , and then estimate at least one estimated product item that consumer CN wants to purchase among these product items this time; because in this embodiment, the purchase cycle calculation unit 51 calculates the purchase amount of consumer CN The purchase cycle of a certain brand of nuts - comprehensive flavor is once a month, and around the 15th. Therefore, when the purchase item estimating unit 52 compares the purchase date of the consumer CN entering the mall 200 to around the 15th, it will It will be judged that the estimated purchase item this time is a full box of nuts of a certain brand - comprehensive flavor. Among them, after the purchased item estimating unit 52 determines the estimated purchased product item, it will send the estimated purchased product item as an estimated product signal S3.

The cargo vehicle database 6 stores a plurality of cargo vehicle specification information 61 (only one is shown in the figure) corresponding to a plurality of types of unmanned cargo vehicles 301, 302 and 303 (only three are shown in the figure). The object vehicle specification information 61 has a maximum load-bearing capacity of a carrier; wherein, the maximum load-carrying capacity of a carrier includes a maximum load-bearing capacity 611 of a carrier and a maximum load-bearing weight 612 of a carrier. In addition, the cargo vehicle specification information 61 corresponding to the three types of unmanned cargo vehicles 301, 302 and 303 are all different. In this embodiment, the cargo vehicle specification information 61 corresponding to the unmanned cargo vehicle 301 is based on the maximum size of the cargo vehicle. The carrying capacity 611 is marked, the cargo vehicle specification information 61 corresponding to the unmanned cargo vehicle 302 is marked with the maximum load capacity 612 of the cargo vehicle, and the cargo truck specification information 61 corresponding to the unmanned cargo vehicle 303 is marked with The maximum load-bearing capacity of the cargo truck is 611 and the maximum load-bearing weight of the cargo truck is 612. In more detail, the unmanned cargo trucks 301, 302 and 303 respectively represent high load-bearing capacity, high load-bearing weight and both high load-bearing capacity and high load-carrying capacity. The load-carrying capacity of the unmanned cargo vehicle model is not limited to this. In actual application, more specification levels can be subdivided according to the distance between the load-bearing capacity and the load-bearing weight.

The truck dispatch demand assessment module 7 is connected through communication between the purchase item estimation module 5 and the truck database 6 to receive the estimated product signal S3, and the truck dispatch demand assessment module 7 has a The product specification and truck specification comparison unit 71, the product specification and truck specification comparison unit 71 is used to compare the product size 311 and product weight 312 corresponding to the estimated purchase product items and the corresponding unmanned The maximum load capacity of the cargo trucks 301, 302 and 303 is 611 and the maximum load capacity of the cargo trucks is 612, so as to evaluate the type of unmanned cargo trucks 301, 302 and 303 that is suitable for carrying this estimated load. Purchasing the applicable unmanned cargo vehicle for the commodity item is used to send a vehicle dispatch request signal S4 that requires dispatching the applicable unmanned cargo vehicle.

In this embodiment, since the estimated purchased product item is a full box of nuts of a certain brand - comprehensive flavor, the product specification and truck specification comparison unit 71 will compare the estimated purchased product item. The corresponding product size 311 and product weight 312 as well as the corresponding unmanned carts 301, 302 and 303. Which of the cart's maximum load capacity 611 and cart's maximum load weight 612 can meet the requirements of 200 x 80 x 90 mm/ 20kg Product size 311 and product weight 312, among which, since the size and weight of the whole box of a certain brand of nuts - comprehensive flavor are larger, the product specification and truck specification comparison unit 71 will determine the maximum load capacity of the truck 611 The unmanned cargo vehicle 303, which is higher than the maximum load capacity 612 of the cargo truck, is a suitable unmanned cargo vehicle suitable for carrying the estimated purchase items.

The vehicle dispatch module 8 is connected to the vehicle dispatch demand assessment module 7 through communication, so as to receive and dispatch a suitable unmanned vehicle to the location of the consumer CN based on the vehicle dispatch demand signal S4. A shopping waiting area WA.

Please continue to refer to the third figure. The third figure is a step flowchart showing the automatic dispatching method of an unmanned vehicle provided by a preferred embodiment of the present invention. As shown in the first to third figures, a method for automatically dispatching an unmanned vehicle includes the following steps S101 to S105. Step S101 is to use the sensor module 1 to send a consumer entry signal S1 when detecting that the identification device ID carried by the consumer CN enters the shopping mall 200 . Step S102 is to use the shopping history information acquisition module 4 to acquire the shopping history information 22 of the consumer CN shopping in the mall 200 based on the consumer's store entry signal S1, and transmit the shopping history information 22 out.

Step S103 is to use the purchase item estimation module 5 to estimate the current purchase price of the multiple product items that the consumer CN wants to purchase based on the purchased product items and purchase dates in the shopping history information 22. Estimate purchase items. Step S104 is to use the truck dispatch demand assessment module 7 to compare the product specifications 31 corresponding to the estimated purchase items and the maximum load-carrying capacity of the plurality of unmanned trucks 301, 302 and 303, thereby Evaluate a suitable unmanned vehicle that is suitable for carrying the estimated purchase of goods, and accordingly send a vehicle dispatch demand signal S4 for dispatching the suitable unmanned vehicle. Step S105 is to use the cart dispatch module 8 to dispatch an applicable unmanned cart to the shopping waiting area WA where the consumer CN is located based on the cart dispatch demand signal S4.

To sum up, compared with the previous technology, shopping malls simply provide shopping vehicles such as trolleys or baskets for consumers to use for shopping, and it is easy to happen that the shopping vehicles cannot hold the goods they need to buy, or the shopping vehicles have a large load capacity. Shopping vehicles only carry a very small amount of goods, which makes it very inconvenient for consumers when shopping. The automatic dispatching system of unmanned carts and the automatic dispatching method of unmanned carts of the present invention mainly use shopping history information to extract models. The team captures the consumer's shopping history information, and then analyzes the estimated product items for this purchase, and dispatches suitable unmanned carts to the shopping waiting area where the consumer is based, so that the consumer can use the products that are more suitable for consumption. An unmanned cart that adapts to your shopping habits.

Through the above detailed description of the preferred embodiments, it is hoped that the characteristics and spirit of the present invention can be more clearly described, but the scope of the present invention is not limited by the above disclosed preferred embodiments. On the contrary, the intention is to cover various modifications and equivalent arrangements within the scope of the patent for which the present invention is intended.

100: Unmanned vehicle automatic dispatch system 1: Induction module 2: Consumer database 21:Consumer identification information 22: Shopping history information 3: Product database 31: Product specifications 311: Product size 312: Product weight 4: Shopping history information extraction module 5: Purchase item estimation module 51: Procurement cycle calculation unit 52: Purchase item estimation unit 6:Cargo database 61:Cargo specification information 611: Maximum load capacity of cargo truck 612: Maximum load capacity of cargo truck 7:Cargo dispatch demand assessment module 71: Comparison unit of product specifications and cargo vehicle specifications 8:Cargo dispatch module 200: shopping mall 201: Entrance 301,302,303: Unmanned cargo vehicle CN:Consumer ID: identification device S1: Signal for consumers to enter the store S2: Shopping history signal S3: Estimated commodity signals S4: Vehicle dispatch demand signal WA: Shopping waiting area

The first figure is a system block diagram showing an automatic dispatching system for unmanned vehicles provided by a preferred embodiment of the present invention; The second figure is a schematic plan view showing the application of the unmanned vehicle automatic dispatch system in a shopping mall according to the preferred embodiment of the present invention; and The third figure is a flow chart showing the steps of the automatic dispatching method of unmanned cargo vehicles provided by the preferred embodiment of the present invention.

100: Unmanned vehicle automatic dispatch system

1: Induction module

2: Consumer database

21:Consumer identification information

22: Shopping history information

3: Product database

31: Product specifications

311: Product size

312: Product weight

4: Shopping history information acquisition module

5: Purchase item estimation module

51: Procurement cycle calculation unit

52: Purchase item estimation unit

6:Cargo database

61:Cargo specification information

611: Maximum load capacity of cargo truck

612: Maximum load capacity of cargo truck

7:Cargo dispatch demand assessment module

71: Comparison unit of product specifications and cargo vehicle specifications

8:Cargo dispatch module

301,302,303: Unmanned cargo vehicle

ID: identification device

S1: Signal for consumers to enter the store

S2: Shopping history signal

S3: Estimated commodity signals

S4: Vehicle dispatch demand signal

Claims (6)

An automatic dispatching system for unmanned vehicles, including: A product database stores multiple product specifications based on multiple product items sold in a shopping mall; A shopping history information acquisition module is used to acquire shopping history information of a consumer shopping in the mall when the consumer enters the shopping mall, and the shopping history information records the shopping history of the consumer. One of the items purchased at the shopping mall and a purchase date of the item; A purchase item estimating module is communicated with the product database and the shopping history information retrieval module to estimate the purchased items based on the purchased items and the purchase date in the shopping history information. At least one estimated purchase item among the items that the consumer wants to purchase this time; A cargo vehicle database stores a plurality of cargo vehicle specification information corresponding to a plurality of types of unmanned cargo vehicles, and each of the cargo vehicle specification information has a maximum carrying capacity of a cargo vehicle; A truck dispatch demand assessment module is communicated with the procurement item estimation module and the truck database to compare the product specifications corresponding to the at least one estimated purchase product item and The maximum load-carrying capacity of these types of unmanned cargo vehicles is used to evaluate an appropriate unmanned cargo vehicle suitable for carrying at least one estimated purchase item among these types of unmanned cargo vehicles, according to To send out a vehicle dispatch demand signal that requires the dispatch of such applicable unmanned vehicle; and A cargo vehicle dispatch module is communicated with the cargo vehicle dispatch demand assessment module to receive and dispatch a suitable unmanned cargo vehicle to the location of the consumer based on the cargo vehicle dispatch demand signal. Shopping waiting area. The automatic dispatching system for unmanned cargo vehicles as described in request item 1, wherein the procurement item estimation module includes: A purchasing cycle calculation unit calculates at least one purchasing cycle corresponding to the at least one purchased commodity item based on the purchase dates; and A purchase item estimating unit is electrically connected to the purchase cycle calculation unit and has a date table, so as to determine based on the date table, the at least one purchase cycle and the purchase date of the consumer entering the mall. This should be at least one estimated purchase item. The automatic dispatching system for unmanned cargo vehicles as described in claim 1, wherein the maximum load capacity of the cargo vehicle further includes a maximum load capacity of the cargo vehicle, and each of the product specifications further includes a product size, and the load capacity is The vehicle dispatch demand assessment module compares the product size corresponding to the at least one estimated purchase product item and the maximum carrying capacity of the unmanned cargo vehicles of these types, so as to determine the load capacity of these types of unmanned cargo vehicles. , the suitable unmanned cargo vehicle is evaluated, and a demand signal for dispatching the cargo vehicle is issued accordingly. The automatic dispatching system for unmanned trucks as described in claim 3, wherein the maximum load capacity of the truck further includes a maximum load weight of the truck, and each of the product specifications further includes a product weight, and the load The vehicle dispatch demand assessment module compares the product size and product weight corresponding to at least one estimated purchase item, as well as the maximum load-carrying capacity and the maximum load-carrying weight of these types of unmanned cargo vehicles. , so as to evaluate the suitable type of unmanned vehicle among these types of unmanned vehicles, and accordingly send out the dispatch demand signal for the vehicle. The automatic dispatching system for unmanned cargo vehicles as described in request item 1 further includes: A sensing module is installed at an entrance of the shopping mall to sense an identification device carried by the consumer and generate a consumer entry signal corresponding to the consumer; and A consumer database is communicated with the shopping history information retrieval module and includes a consumer identification data corresponding to the consumer and the shopping history information. The shopping history information retrieval module is based on the consumption The shop entry signal retrieves the shopping history information from the consumer database. A method for automatically dispatching unmanned cargo vehicles, including: (A) Using a sensing module to send a consumer entry signal to a shopping history information acquisition module when detecting that an identification device enters a shopping mall; (B) The shopping history information acquisition module acquires the shopping history information of the consumer shopping in the mall based on the consumer's store entry signal, and transmits the shopping history information to a purchase item prediction module, The shopping history information records at least one purchased product item among the merchandise items purchased by the consumer in the mall and multiple purchase dates of the at least one purchased merchandise item; (C) The purchase item estimating module estimates what the consumer wants to purchase this time based on the at least one purchased product item and the purchase date in the shopping history information. At least one estimated purchase item; (D) Use a truck dispatch demand assessment module to compare the product specifications corresponding to at least one estimated purchase item and the maximum load-carrying capacity of multiple types of unmanned trucks, so as to determine the load capacity of these trucks. Among the types of unmanned cargo vehicles, an appropriate unmanned cargo vehicle is evaluated that is suitable for carrying the at least one estimated purchase item, and a vehicle dispatch demand signal for the need to dispatch the suitable unmanned cargo vehicle is issued accordingly. ;as well as (E) Use a cart dispatch module to receive and dispatch a suitable unmanned cart of this type to a shopping waiting area where the consumer is located based on the cart dispatch demand signal.

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