CN114842591A - Goods extraction system of vending machine - Google Patents
Goods extraction system of vending machine Download PDFInfo
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- CN114842591A CN114842591A CN202210405955.XA CN202210405955A CN114842591A CN 114842591 A CN114842591 A CN 114842591A CN 202210405955 A CN202210405955 A CN 202210405955A CN 114842591 A CN114842591 A CN 114842591A
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- 238000000605 extraction Methods 0.000 title claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 28
- 238000006073 displacement reaction Methods 0.000 claims abstract description 27
- 239000000284 extract Substances 0.000 claims abstract description 3
- 238000010438 heat treatment Methods 0.000 claims description 26
- 230000006866 deterioration Effects 0.000 claims description 19
- 238000004519 manufacturing process Methods 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000012217 deletion Methods 0.000 claims description 9
- 230000037430 deletion Effects 0.000 claims description 9
- 238000010276 construction Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000001174 ascending effect Effects 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 235000012149 noodles Nutrition 0.000 description 16
- 235000015278 beef Nutrition 0.000 description 14
- 235000012054 meals Nutrition 0.000 description 11
- 230000007547 defect Effects 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000015277 pork Nutrition 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/02—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines
- G07F11/04—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines in which magazines the articles are stored one vertically above the other
- G07F11/16—Delivery means
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/004—Restocking arrangements therefor
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/62—Coin-freed apparatus for dispensing, or the like, discrete articles in which the articles are stored in compartments in fixed receptacles
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/006—Details of the software used for the vending machines
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Abstract
A vending machine goods extraction system comprises a case, a goods shelf, a picking piece and a plurality of cameras, wherein the goods shelf, the picking piece and the cameras are positioned in the case; the goods classification module indexes goods classification list information with price in a goods database; the path processing module extracts the short-timed goods information as the information of goods to be taken; the control module controls the displacement of the picking member so that the picking member picks the goods to be picked on the turntable.
Description
Technical Field
The invention relates to the field of box lunch machines, in particular to a vending machine goods extraction system.
Background
With the increasing living standard and the increasing time-based treasure of people, the daily dinner is not a traditional collective steamed rice or a box meal but a box meal buying mode, the current common meal means is takeout, convenience stores or a store, the takeout ordering mode needs to be ordered in advance for a period of time, the takeout ordering mode is easy to miss or does not have a chance to order in advance under some special scenes, and a user needs to think about other ways; the method for solving the meals in the convenience stores has the defects that 1, certain commercial buildings or office buildings have convenience stores, but certain places have no convenience stores, so that the limitation of regions exists, 2, the convenience stores have too many people to buy next shift at certain time such as 11 o 'clock to 12 o' clock at noon, and the consumers in the stores select to search other places; the mode of a self-walking front store has more defects that a consumer needs to walk to the store and wait for a long time;
due to the problems, box lunch vending machines are available on the market immediately, and two types of current box lunch vending machines are available, wherein one type of commodity is placed in a groove, and the commodity in the groove is pushed out to a picking part in a forward pushing mode, and the other type of commodity is placed on a pallet of a shelf.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a vending machine goods extraction system which can provide the selection of the same kind of goods with different quality guarantee periods for users, and can plan the optimal route to quickly extract and heat the goods for the users to eat according to the selection of the users.
In order to achieve the purpose, the invention provides the following technical scheme:
a goods extraction system of a vending machine comprises a case, a goods shelf and an extraction structure, wherein the goods shelf and the extraction structure are positioned in the case, the goods shelf comprises a plurality of layers of placing areas, the plurality of layers of placing areas comprise a plurality of pallets for placing goods, a motor for driving the goods shelf to rotate is arranged on one side of the goods shelf, the extraction structure comprises a cross beam, a vertical beam and a picking piece, the cross beam and the vertical beam are arranged in a cross mode on a vertical surface, the cross beam is connected to the vertical beam in a sliding mode, the picking piece is connected to one side of the cross beam in a sliding mode and used for picking up the goods on the pallets, and a plurality of cameras are arranged in the case;
the extraction system also comprises a goods database, wherein the goods database comprises a plurality of goods bill information, the goods bill information comprises goods information and goods position information, the goods information reflects the names of the goods, the labels of the goods and the deterioration date of the goods, the goods position information reflects the positions of the goods on a goods shelf, and the goods information corresponds to the goods position information one to one;
the extraction system also comprises a model construction module, a goods classification module, a path processing module and a control module;
the model building module is used for obtaining a plurality of pieces of shelf image information shot by the cameras as shipment image information, and building a shelf model according to the shipment image information, wherein the shelf model comprises a goods sub-model on a pallet, and the goods sub-model comprises goods label information;
the goods classification module acquires goods label information in the model construction module, indexes corresponding goods information in a goods database according to the goods label information to serve as goods information to be sold, and indexes the goods information in the goods database through quality guarantee period arrangement according to the goods information to be sold to obtain goods classification list information with price, wherein the goods list information reflects a sorting list of similar goods;
the path processing module is used for acquiring actual goods information selected by a user, the actual goods information reflects the goods name and the goods unit price selected by the user, the goods classification list information in the goods classification module is acquired, goods fine screening list information is obtained through pairing and screening in the goods classification list information according to the actual goods information, a goods taking timing list is obtained through a path algorithm according to the goods fine screening list information, and goods information with short timing is extracted according to the goods taking timing list to serve as information of goods to be taken;
the control module acquires information of goods to be picked in the path processing module, controls the motor to rotate according to the information of the goods to be picked, and controls the displacement of the picking piece so that the picking piece picks up the goods to be picked on the turntable.
Further, the goods classification module further comprises a goods classification submodule, the goods classification submodule acquires the deterioration date of each goods in the information of the goods to be sold, acquires the real-time date in the system, and calculates the actual shelf life limit value through subtraction according to the deterioration date and the real-time date.
Further, the extraction system further comprises a deletion recording module, wherein the deletion recording module acquires the actual shelf life limit value in the goods classification submodule, and when the actual shelf life limit value is a negative number, a deletion command is sent to delete the goods information from the goods classification list information.
Furthermore, the goods information also reflects the production date of the goods, the goods classification module also comprises a goods calculation submodule, the goods calculation submodule acquires the production date of each goods in the to-be-sold goods information and the deterioration date of the goods, acquires the actual shelf life limit value and the real-time date of each goods in the goods classification submodule, and obtains the actual single value of the goods through a unit price algorithm according to the production date, the real-time date and the actual shelf life limit value.
Further, the unit price algorithm is configured to:
wherein m is the price constant of the goods, h is the coefficient weight value, D x Production date, D y -real time date, C-proportional weight value, n-actual singles value;
when | D x -D z |≥D b ≥f 1 |D x -D z When l, m is n;
when f is 1 |D x -D z |≥D b ≥f 2 |D x -D z When is |, C ═ C 2 ；
When f is 2 |D x -D z |≥D b ≥f 3 |D x -D z When |，C＝C 3 ；
Wherein D is b - -actual shelf life Limit, D z - -date of deterioration, f 1 、f 2 、f 3 Are specific gravity values, C 2 、C 3 Are all constants.
Further, the path processing module comprises a path processing sub-module, the path processing sub-module acquires position information of each item in item fine screening list information, a pallet displacement value and a picked-up piece displacement value are obtained according to the item position information, the pallet displacement value reflects the circumference of a pallet loaded with the item, the circumference of the pallet rotates to one side of the picked-up piece, the picked-up piece displacement value reflects the distance value of the picked-up piece ascending or descending to the pallet, and a time consumption value is obtained through a path algorithm according to the pallet displacement value and the picked-up piece displacement value.
Further, the path algorithm is configured to:
C＝2πrk
wherein, C- -pallet displacement value, V 1 -pallet rotational speed constant, x-pick displacement value, V 2 -constant speed of movement of the pick-up, r-constant distance between a point on the goods and the rotation point of the pallet, k-number of rotations of the pallet, t-value of elapsed time.
Further, the machine incasement still includes heating device, heating device is used for heating the goods that the piece was drawed, goods information still reflects the information of waiting to heat of goods, extraction system still includes the heating module, the heating module obtains the goods information of waiting to get in the route processing module, according to wait to get goods information and index corresponding information of waiting to heat in the goods database, according to waiting to heat the heating temperature value and the heating time value that the information analysis obtained this goods of information, send heating information to control module.
The invention has the beneficial effects that: 1. identifying and constructing a sub-model for goods placed on a goods shelf through a model construction module so as to facilitate the positioning of the goods, wherein a goods classification module performs similar sorting on various goods on the goods shelf, the reference factor of the sorting is the shelf life limit value of the goods, price calculation is performed on a list of the goods sorted by the same kind through an internal path processing module, each goods has a corresponding unit price so as to facilitate the selection of a user, the goods placement positions on the goods shelf which are in accordance with the selection of the user are screened out after the goods are selected by the user, and the shortest time is consumed for extracting the goods on which the goods are placed from the several screened goods according to the path algorithm calculation, so that the selection of the optimal path is realized, and the goods required by the user are extracted most efficiently;
2. compared with the ordered placement of the existing box lunch machine, the invention can realize the disordered placement and effectively improve the replenishment efficiency in the replenishment process of the goods shelf.
Drawings
FIG. 1 is a system control diagram of the present invention
Fig. 2 is a block diagram of a rack and pick-up structure in a cabinet.
Reference numerals: 1. a shelf; 11. a pallet; 2. a motor; 3. extracting the structure; 31. a cross beam; 32. erecting a beam; 33. picking up the part; 101. a model building module; 102. a goods classification module; 103. a path processing module; 104. a control module; 105. a goods classification submodule; 106. deleting the recording module; 107. a goods calculation submodule; 108. a path processing sub-module; 109. the module is heated.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. In which like parts are designated by like reference numerals. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
The prior boxed meal vending machine has two types, one type is that similar commodities are placed in a groove, and the commodities in the groove are pushed out to a picking part 33 in a forward pushing mode, the other type is that the commodities are placed on a pallet 11 of a shelf 1, the structure of the prior boxed meal vending machine is the same as that of the boxed meal vending machine in the invention, but the structure of the prior boxed meal vending machine is different from that of the boxed meal vending machine in the invention, the prior boxed meal vending system is simpler, and the user randomly picks the commodities after selecting the commodities, so that whether the shelf life of the commodities on the pallet 11 exceeds or not is difficult to ensure, and the mode of checking whether the commodities exceed the shelf life is usually manual opening and checking, the mode is time-consuming, the efficiency is low, and the edible safety of the user is difficult to ensure, therefore, the boxed meal vending machine commodity fetching system is designed by the invention, and the quoted patent numbers are as follows: 2021209374369, this patent document has disclosed the internal structure of this kind of box lunch machine, wherein specifically as shown in fig. 2, including quick-witted case and be located quick-witted incasement goods shelves 1 and extraction structure 3, goods shelves 1 include a plurality of layers and place the district, a plurality of layers are placed the district and are included a plurality of pallets 11 that are used for placing the goods, goods shelves 1 one side is equipped with drive goods shelves 1 pivoted motor 2, extraction structure 3 includes crossbeam 31, vertical beam 32 and picking piece 33, crossbeam 31 and vertical beam 32 cross setting on the vertical plane, and crossbeam 31 sliding connection is on vertical beam 32, picking piece 33 sliding connection is in crossbeam 31 one side, and picking piece 33 is used for picking up the goods on pallet 11, the quick-witted incasement of the invention still is equipped with a plurality of cameras, a plurality of cameras can shoot around goods shelves 1 respectively, its shooting field of vision adds including goods shelves 1 parcel.
As shown in fig. 1, the extraction system further includes an article database, the article database includes a plurality of article information, the article information includes article information and article position information (when an employee scans an article through a scanner and then sequentially places the article on a pallet 11 in order, a terminal stores the data information of the article), the article information reflects a name of the article, a label of the article and a deterioration date of the article, the article position information reflects a position of the article on a shelf 1, and the article information and the article position information correspond one to one;
the extraction system further comprises a model construction module 101, a goods classification module 102, a path processing module 103 and a control module 104;
the system comprises a model building module 101, a shelf 1 model and a shelf identification module, wherein the model building module 101 is used for obtaining image information of the shelf 1 shot by a plurality of cameras as shipment image information, the shelf 1 model is built according to the shipment image information (the phenomenon that employees are possibly misplaced in the placement process, and therefore goods position information input by a terminal is possibly wrong, so that the images of the shelf 1 need to be shot by the cameras, labels of goods on each pallet 11 in the images are extracted, deep learning and identification are further carried out, comparison with the information input by the terminal is carried out, if the information is consistent, normal modeling is carried out, if the information is inconsistent, the correct model is built by taking the shooting of the cameras as the criterion), the shelf 1 model comprises a goods sub-model on the pallet 11, and the goods sub-model comprises goods label information (two-dimensional code);
the goods classification module 102 is used for acquiring goods label information in the model construction module 101, indexing corresponding goods information in a goods database as goods information to be sold according to the goods label information, indexing goods classification list information with price according to the goods information to be sold in the goods database through quality guarantee period arrangement, performing similar sorting on various goods on the shelf 1, wherein a reference factor of the sorting is the shelf life limit value of the goods, the goods list information reflects the sorting list of the similar goods, performing price calculation on each goods list after similar sorting through the built-in path processing module 103, and enabling each goods to have a corresponding unit price so as to be convenient for a user to select;
the path processing module 103 is used for acquiring actual goods information selected by a user, wherein the actual goods information reflects the goods name and the goods unit price selected by the user, acquiring goods classification list information in the goods classification module 102, obtaining goods fine screening list information by pairing and screening in the goods classification list information according to the actual goods information, respectively obtaining a goods taking timing list through a path algorithm according to the goods fine screening list information, extracting goods information with short timing as goods information to be taken according to the goods taking timing list, and calculating to obtain which goods on the pallet 11 are extracted from the screened goods, wherein the shortest time is consumed for realizing the selection of an optimal path, and the goods required by the user are extracted most efficiently;
and the control module 104 acquires information of the goods to be picked in the path processing module 103, controls the motor 2 to rotate according to the information of the goods to be picked, and controls the picking member 33 to move so that the picking member 33 picks up the goods to be picked on the turntable.
Specifically, the goods sorting module 102 further includes a goods sorting submodule 105, where the goods sorting submodule 105 acquires the deterioration date of each goods in the information of the goods to be sold, acquires the real-time date in the system, and obtains the actual shelf life limit value through subtraction calculation according to the deterioration date and the real-time date, for example: the information of the goods to be sold comprises beef noodles, pork noodles and the like, each evening noodle has a self edible deadline, namely a deterioration date, for example, the deadline of the beef noodles is 2022 year 1 month 29 day, the real-time date is 2022 year 1 month 19 day, the actual quality guarantee period limit value is 10 days, namely, the beef noodles can be stored for 10 days, the beef noodles can be defined as deteriorated food when the date exceeds 10 days, the extraction system further comprises a deletion recording module 106, the deletion recording module 106 acquires the actual quality guarantee period limit value in the goods classification submodule 105, when the actual quality guarantee period limit value is negative (when the real-time date is after the deterioration date, the goods are defined as deteriorated food), a deletion command is sent to delete the goods information from the goods classification list information, the information of the goods cannot be displayed on a user selection interface, but the goods information can be recorded in a terminal, to remind the staff to replace the goods when replenishing the goods.
As shown in table 1:
the contents of the table are the classification and sequencing of the goods by the goods classification submodule according to the actual shelf life limit value.
The goods information also reflects the production date of goods, the goods classifying module 102 also comprises a goods calculating submodule 107, the goods calculating submodule 107 obtains the production date of each goods in the information of the goods to be sold and the deterioration date of the goods, obtains the actual shelf life limit value and the real-time date of each goods in the goods classifying submodule 105, and obtains the actual single value of the goods through a unit price algorithm according to the production date, the real-time date and the actual shelf life limit value.
The monovalent algorithm is configured to:
wherein m is the price constant of the goods, h is the coefficient weight value, D x Production date, D y -real time date, C-proportional weight value, n-actual singles value;
when | D x -D z |≥D b ≥f 1 |D x -D z When l, m is n;
when f is 1 |D x -D z |≥D b ≥f 2 |D x -D z When is |, C ═ C 2 ；
When f is 2 |D x -D 2 |≥D b ≥f 3 |D x -D z When is |, C ═ C 3 ；
Wherein D is b - -actual shelf life Limit, D z - -date of deterioration, f 1 、f 2 、f 3 Are specific gravity values, C 2 、C 3 Are all constants;
for example, the system setting C 2 Take 0.8, C 3 Take 0.6, f 1 Take 0.6, f 2 Take 0.4, f 3 Taking 0.2, h and 5, wherein the normal price of the goods of the beef noodles screened in the shelf is 25 yuan, the production date of one bowl of beef noodles is 2022 years, 1 month and 19 days, the real-time date when the user selects is 2022 years, 1 month and 19 days, the deterioration date is 2022 years, 1 month and 29 days, and the actual shelf life limit value is 10 days, so that the actual single value of the bowl of beef noodles is 25 yuan; the production date of the other bowl of beef noodles is 1 month and 13 days 2022, the real-time date when the user selects is 1 month and 19 days 2022, the deterioration date is 1 month and 23 days 2022, the actual shelf life limit value is 4 days, then C is 0.8, and the actual single value of the bowl of beef noodles is as follows: 25 ÷ (5 × 6) + (4 × 25 × 0.8) ÷ (5 ═ 16.83 yuan.
As shown in Table 2:
the content of the table is a sorting list after the goods classification submodule performs unit price calculation according to the actual shelf life limit value so as to transmit the sorting list to the user for selection through a user interface.
The path processing module 103 includes a path processing sub-module 108, the path processing sub-module 108 obtains location information of each item in the item fine-screening list information, and obtains a displacement value of the pallet 11 and a displacement value of the picked-up member 33 according to the location information of the item, the displacement value of the pallet 11 reflects a circumference of the pallet 11 loaded with the item rotating to a side of the picked-up member 33 (since the pallet 1 rotates when transferring the item, there are 4 pallets 11 on one layer of the pallet 1, and any one pallet 11 forms a circular surface when rotating), the displacement value of the picked-up member 33 reflects a distance value of the picked-up member 33 rising or falling to the pallet 11, and the time consumption value is obtained by a path algorithm according to the displacement value of the pallet 11 and the displacement value of the picked-up member 33.
The path algorithm is configured to:
C＝2πrk
wherein, C- -pallet displacement value, V 1 -pallet rotational speed constant, x-pick displacement value, V 2 -a constant speed of movement of the pick-up, r-a constant distance between a point on the goods and a point of rotation of the pallet, k-a number of rotations of the pallet, t-a value of consumption.
For example: when the user selects 25 yuan beef noodles, the path processing submodule obtains the screened list, only beef noodles 1 with the actual guarantee period limit value of 18 days and beef noodles 2 with the actual guarantee period limit value of 13 days are left in the list, at the moment, the picking piece is positioned at the middle side of the shelf, the displacement amount of the picking piece ascending to the side of the pallet at the highest position of the shelf or descending to the side of the pallet at the lowest position of the shelf is equal, as shown in fig. 2, because each layer of the shelf is 4 pallets, 4 pallets and the like are uniformly distributed on the outer side surface of the rotating shaft of the shelf, if the beef noodles 1 is positioned at the point A, the beef noodles 2 are positioned at the point B, the distance of the horizontal plane of the point A from the horizontal plane of the picking piece is 20cm, namely, X1 is 20cm, if the shelf rotates, the radius of the circle formed by the pallets is 30cm, and as shown in fig. 2, the point A rotates to the designated C1 point position, and needs to rotate for 0.5 circles, the K1 is 0.5, namely C1 ═ 2 × pi × 30 × 0.5 ═ 30 pi, assuming that the pallet rotation speed is 10, i.e., V1 is 10, the pick-up moving speed is 2, i.e., V2 is 2, t1 ═ 30 pi ÷ 10) + (20 ÷ 2) ═ 3 pi + 10; the distance between the horizontal plane of the point B and the horizontal plane of the picking member is 25cm, that is, X2 is 25cm, as shown in fig. 2, when the point B rotates to a designated point C2, and needs to rotate 0.25 circle, K2 is 0.25, that is, C2 is 2 × pi × 30 × 0.25 ═ 15 pi, t2 is (15 pi ÷ 10) + (25 ÷ 2) ═ 1.5 pi +12.5, then according to the comparison between t1 and t2, t2 is smaller than t1, the path processing module will take the goods at the point B as the picked goods, and the control module controls the motor to drive the goods shelf to rotate 0.25 circle, so that the point B reaches the point C2, and then controls the picking member to move to the point C2 to pick up the goods.
Because the box lunch in the box lunch machine is cold-stored food, therefore for the convenience of the user to extract and eat, still include heating device in quick-witted case, heating device is used for heating the goods that pick up 33 extracted, goods information still reflects the information of waiting to heat of goods, extraction system still includes heating module 109, heating module 109 acquires the goods information of waiting to take in route processing module 103, wherein can acquire the goods label or serial number on the goods information of waiting to take, go the kind of discernment goods according to the label of goods, the time that all kinds of goods need the heating and the temperature range of heating have in the goods database, index corresponding information of waiting to heat in the goods database, heating temperature value and the heating time value of obtaining this goods according to the information analysis of waiting to heat, send heating information to control module 104.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (8)
1. A vending machine product retrieval system, comprising: including quick-witted case and be located goods shelves (1) and extraction structure (3) of quick-witted incasement, goods shelves (1) place the district including a plurality of layers, a plurality of layers place the district including a plurality of pallets (11) that are used for placing the goods, goods shelves (1) one side is equipped with drive goods shelves (1) pivoted motor (2), extraction structure (3) are including crossbeam (31), perpendicular roof beam (32) and pick-up piece (33), crossbeam (31) and perpendicular roof beam (32) cross setting on vertical face, just crossbeam (31) sliding connection is on perpendicular roof beam (32), pick-up piece (33) sliding connection is in crossbeam (31) one side, just pick-up piece (33) are used for picking up the goods on pallet (11), be equipped with a plurality of cameras in the machine case;
the extraction system also comprises a goods database, wherein the goods database comprises a plurality of goods bill information, the goods bill information comprises goods information and goods position information, the goods information reflects the name of goods, the label of the goods and the deterioration date of the goods, the goods position information reflects the position of the goods on the goods shelf (1), and the goods information corresponds to the goods position information one by one;
the extraction system further comprises a model construction module (101), a goods classification module (102), a path processing module (103) and a control module (104);
the model building module (101) is used for obtaining image information of the goods shelf (1) shot by the cameras as shipment image information, building a goods shelf (1) model according to the shipment image information, wherein the goods shelf (1) model comprises a goods sub-model on a pallet (11), and the goods sub-model comprises goods label information;
the goods classification module (102) acquires goods label information in the model construction module (101), indexes corresponding goods information in a goods database according to the goods label information to serve as goods information to be sold, indexes goods classification list information with price according to the goods information to be sold in the goods database through quality guarantee period arrangement, and the goods list information reflects a sorting list of similar goods;
the path processing module (103) acquires actual goods information selected by a user, the actual goods information reflects the goods name and the goods unit price selected by the user, acquires goods classification list information in the goods classification module (102), obtains goods fine screening list information by pairing and screening in the goods classification list information according to the actual goods information, respectively obtains a goods picking timing list through a path algorithm according to the goods fine screening list information, and extracts short-timing goods information as to-be-picked goods information according to the goods picking timing list;
the control module (104) acquires information of goods to be picked in the path processing module (103), controls the motor (2) to rotate according to the information of the goods to be picked, and controls the picking piece (33) to move so that the picking piece (33) picks the goods to be picked on the turntable.
2. The vending machine goods extraction system of claim 1, wherein: the goods classification module (102) further comprises a goods classification submodule (105), the goods classification submodule (105) obtains the deterioration date of each goods in the goods information to be sold, obtains the real-time date in the system, and obtains the actual quality guarantee period limit value through subtraction calculation according to the deterioration date and the real-time date.
3. The vending machine goods extraction system of claim 2, wherein: the extraction system further comprises a deletion recording module (106), wherein the deletion recording module (106) acquires the actual shelf life limit value in the goods classification submodule (105), and when the actual shelf life limit value is a negative number, a deletion command is sent out to delete the goods information from the goods classification list information.
4. The vending machine goods extraction system of claim 3, wherein: the goods information also reflects the production date of goods, the goods classification module (102) further comprises a goods calculation submodule (107), the goods calculation submodule (107) acquires the production date of each goods in the goods information to be sold and the deterioration date of the goods, acquires the actual quality guarantee period limit value and the real-time date of each goods in the goods classification submodule (105), and obtains the actual single value of the goods through a unit price algorithm according to the production date, the real-time date and the actual quality guarantee period limit value.
5. The article lifting system for a box lunch machine according to claim 4, characterized in that: the unit price algorithm is configured to:
wherein m is the price constant of the goods, h is the coefficient weight value, D x Production date, D y -real time date, C-proportional weight value, n-actual singles value;
when | D x -D z |≥D b ≥f 1 |D x -D z When l, m is n;
when f is 1 |D x -D z |≥D b ≥f 2 |D x -D z When is |, C ═ C 2 ；
When f is 2 |D x -D z |≥D b ≥f 3 |D x -D 2 When is |, C ═ C 3 ；
Wherein D is b - -actual shelf life Limit, D z - -date of deterioration, f 1 、f 2 、f 3 Are specific gravity values, c 2 、C 3 Are all constants.
6. The article lifting system for a box lunch machine according to claim 1, characterized in that: the path processing module (103) comprises a path processing sub-module (108), the path processing sub-module (108) acquires the position information of each item in the item fine screening list information, a pallet (11) displacement value and a picked piece (33) displacement value are obtained according to the item position information, the pallet (11) displacement value reflects the circumference of the pallet (11) carrying the item rotating to one side of the picked piece (33), the picked piece (33) displacement value reflects the distance value of the picked piece (33) ascending or descending to the pallet (11), and a time consumption value is obtained through a path algorithm according to the pallet (11) displacement value and the picked piece (33) displacement value.
7. The article lifting system for a box lunch machine according to claim 6, characterized in that: the path algorithm is configured to:
C＝2πrk
wherein, C- -pallet displacement value, V 1 -pallet rotational speed constant, x-pick displacement value, V 2 -a constant speed of movement of the pick-up, r-a constant distance between a point on the goods and a point of rotation of the pallet, k-a number of rotations of the pallet, t-a value of consumption.
8. The vending machine goods extraction system of claim 1, wherein: still include heating device in the quick-witted case, heating device is used for heating the goods that pick up (33) and draw, goods information still reflects the information of waiting to heat of goods, extraction system still includes heating module (109), heating module (109) acquire the goods information of waiting to get in route processing module (103), according to wait to get goods information index corresponding information of waiting to heat in the goods database, obtain the heating temperature value and the heating time value of this goods according to waiting to heat information analysis, send heating information to control module (104).
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| CN202210405955.XA CN114842591A (en) | 2022-04-18 | 2022-04-18 | Goods extraction system of vending machine |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615778A (en) * | 2018-10-16 | 2019-04-12 | 浙江工业大学 | A kind of warehouse style packed meal automatic vending system of rotation feeding formula |
| CN112927419A (en) * | 2019-12-08 | 2021-06-08 | 威海新北洋数码科技有限公司 | Vending machine and goods delivery method thereof |
| CN214475284U (en) * | 2021-04-30 | 2021-10-22 | 杭州仟源科技有限公司 | Microwave oven heating type boxed meal vending machine |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615778A (en) * | 2018-10-16 | 2019-04-12 | 浙江工业大学 | A kind of warehouse style packed meal automatic vending system of rotation feeding formula |
| CN112927419A (en) * | 2019-12-08 | 2021-06-08 | 威海新北洋数码科技有限公司 | Vending machine and goods delivery method thereof |
| CN214475284U (en) * | 2021-04-30 | 2021-10-22 | 杭州仟源科技有限公司 | Microwave oven heating type boxed meal vending machine |
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