CN111109947A - Goods shelf, goods identification method and electronic equipment - Google Patents

Goods shelf, goods identification method and electronic equipment Download PDF

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Publication number
CN111109947A
CN111109947A CN201911192997.4A CN201911192997A CN111109947A CN 111109947 A CN111109947 A CN 111109947A CN 201911192997 A CN201911192997 A CN 201911192997A CN 111109947 A CN111109947 A CN 111109947A
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CN
China
Prior art keywords
value
tray
weight
goods
shelf
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911192997.4A
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Chinese (zh)
Inventor
马捷昱
张一玫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Chaoyue Moon Technology Co ltd
Original Assignee
Shanghai Chaoyue Moon Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Chaoyue Moon Technology Co ltd filed Critical Shanghai Chaoyue Moon Technology Co ltd
Priority to CN201911192997.4A priority Critical patent/CN111109947A/en
Publication of CN111109947A publication Critical patent/CN111109947A/en
Priority to PCT/CN2020/132112 priority patent/WO2021104422A1/en
Pending legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47FSPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
    • A47F5/00Show stands, hangers, or shelves characterised by their constructional features
    • A47F5/0018Display racks with shelves or receptables
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47FSPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
    • A47F5/00Show stands, hangers, or shelves characterised by their constructional features
    • A47F5/10Adjustable or foldable or dismountable display stands
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/52Weighing apparatus combined with other objects, e.g. furniture

Abstract

The invention provides a shelf, a goods identification method and electronic equipment. The goods shelf comprises a shelf bracket and at least one shelf plate, wherein each shelf plate comprises a supporting plate, a tray, a first weight sensing device, a second weight sensing device and a column device. The goods identification method comprises the following steps: shelf setting, data entry, coordinate axis setting, weight induction value acquisition, change value calculation, goods change position judgment and goods type judgment. According to the invention, only one tray is arranged on each layer of the shelf board of the goods shelf, and one or two sensors are respectively arranged at two ends below the tray, so that the goods sensing function can be realized, the number of the sensors is greatly reduced, the goods sensing function is ensured, and the manufacturing cost of the goods shelf is effectively reduced. The column device of the shelf is detachable, and the size of each column can be adjusted at any time according to the requirements of users so as to be suitable for goods of different specifications.

Description

Goods shelf, goods identification method and electronic equipment
Technical Field
The invention relates to an article stacking device for retail industry, in particular to a goods shelf, an article identification method and electronic equipment for realizing article identification.
Background
In the traditional shopping mode of retail industry, each supermarket or convenience store needs to have full-time goods distributor, and the labor cost is high. With the development of electronic payment technology, identity perception technology and cloud computing technology, the unmanned detection technology has high feasibility.
In the solution of an unmanned supermarket or an unmanned convenience store, a computer needs to continuously monitor the occurrence of each shopping behavior, and the following problems need to be solved: the method comprises the following steps that firstly, the goods identification problem is solved, the types and the quantity of the goods which are taken away or put back need to be identified, and then the price of the goods is calculated according to the unit price of the goods of the types; and secondly, the user identity identification problem needs to judge the user identity of the goods taken away or put back, and establishes or removes the matching relation between the user identity and the goods taken away or put back, so as to form and update the electronic shopping cart of the user, thereby facilitating settlement.
To solve the above problems, the prior art has a shelf capable of sensing goods, but a large number of sensors are required to be arranged in the shelf for detection, a plurality of parallel trays are arranged in each layer of shelf, and at least one weight sensor is required to be correspondingly arranged under each tray. The scheme has the disadvantages that the size of each tray of the goods shelf is fixed, the width of the tray cannot be adjusted, and the width of goods placed on the tray is limited; when the size of goods to be placed is larger than the width of the tray, only the original goods shelf can be replaced, if a convenience store needs to sell various goods with large size difference, trays with various sizes need to be prepared, the management is inconvenient, and the operation and maintenance cost is high. Secondly, each layer of the goods shelf needs a plurality of trays and a plurality of weight sensors, which results in higher cost of the goods shelf and is not beneficial to market competition and popularization and application.
Therefore, it is desirable to provide a new shelf, an article identification method and an electronic device to overcome the problems in the prior art.
Disclosure of Invention
An object of the present invention is to provide a shelf, an article identification method, and an electronic device, which can solve the problem of article identification in an unmanned convenience store and can identify the kind and number of articles taken away or put back in real time.
The invention further aims to provide a goods shelf, which can solve the technical problems of more tray meter sensors and overhigh hardware cost of the existing goods shelf.
Another object of the present invention is to provide a shelf, which can solve the technical problem that the width of the tray cannot be adjusted in the existing shelf.
To achieve the above object, the present invention provides a shelf, which comprises a shelf support and at least one shelf plate, wherein each shelf plate comprises a supporting plate, a tray, a first weight sensing device, a second weight sensing device and a column device. The pallet is mounted to the shelf support; the tray is arranged above the supporting plate and is opposite to the supporting plate; the bottom of the first weight sensing device is connected to the upper surface of the supporting plate, and the top of the first weight sensing device is connected to the lower surface of the tray; the bottom of the second weight sensing device is connected to the upper surface of the supporting plate, and the top of the second weight sensing device is connected to the lower surface of the tray; the column device is arranged above the tray and used for dividing the tray into at least one column; wherein, first weight induction system, second weight induction system locate respectively the both ends of tray.
Further, the first weight sensing device and the second weight sensing device are weight sensors; the connecting points of the two weight sensors and the tray are respectively arranged at the two ends of the tray.
Further, the first weight sensing device comprises two weight sensors arranged on the same straight line, and the second weight sensing device comprises two weight sensors arranged on the same straight line; the tray includes, but is not limited to, a rectangle; the four weight sensors and the connecting points of the tray are respectively arranged at the four corners of the tray.
Further, the pallet may be removably or fixedly mounted to the shelf support.
Further, the deck board further comprises pallet side panels and/or pallet side panels; the supporting plate side plate protrudes upwards from the edge of the supporting plate; the tray side plate protrudes downwards from the edge of the tray; wherein, the middle part of at least one layer board lateral plate or at least one layer board lateral plate is provided with a gap.
Further, the deck board further includes a spacer, an upper surface of which is attached to a lower surface of the tray, and one end of the lower surface of which is mounted to an upper surface of a weight sensor.
Further, the column device comprises a first support and/or a second support and/or a third support; the first bracket is mounted to the front end of the tray; the second bracket is mounted to the rear end of the tray; one end of the third bracket is mounted to the front end of the tray, and the other end of the third bracket is mounted to the rear end of the tray; dividing the tray into at least one column.
Further, the first bracket is detachably mounted to the front end of the tray; and/or the second bracket is detachably mounted at the rear end of the tray; and/or one end of the third support is detachably mounted at the front end of the tray, and the other end of the third support is detachably mounted at the rear end of the tray.
Further, the column device comprises a first row of holes penetrating through the front end of the tray, a second row of holes penetrating through the rear end of the tray, a first bracket, a second bracket and a third bracket; the lower end of the first support is inserted into the first row of holes, and the first support comprises a first limiting hole; the lower end of the second bracket is inserted into the second row of holes, and the second bracket comprises a second limiting hole; the front end of the third support penetrates through the first limiting hole and is inserted into the first row of holes, and the rear end of the third support penetrates through the second limiting hole and is inserted into the second row of holes.
Further, the shelf further comprises a fourth bracket, the fourth bracket being directly or indirectly connected to the tray or the plate; the fourth bracket comprises a mounting plate and a third row of holes; the mounting plate is arranged below the tray in parallel; the third round of holes run through in the mounting panel, and with first round of holes or the second round of holes sets up relatively.
Furthermore, two ends of the fourth bracket are respectively connected to a gasket.
Furthermore, the goods shelf also comprises a cushion block, and the cushion block is arranged between the mounting plate and the tray; the cushion block comprises a strip-shaped cushion block body and a fourth row of holes, wherein the fourth row of holes penetrate through the cushion block body and are opposite to the first row of holes or the second row of holes.
Further, the shelf may include a data processing system for determining the type and/or quantity and/or price of the items removed or replaced on the trays.
The invention also provides a goods identification method, which comprises the following steps:
a goods shelf setting step, wherein the goods shelf is set, and the same kind of goods are placed on the same column of the goods shelf;
a data entry step, wherein tray data of the tray and goods data of each goods placed on the tray are entered, and the tray data comprise the width A of the tray, the central point position Ai of the ith column on the tray and the column width Bi; the goods data comprises the type, the weight and the price of each goods and the column of the goods;
a coordinate axis setting step of setting a one-dimensional coordinate axis in the transverse direction of the tray, defining the coordinate of one end provided with the first weight sensing device as 0, defining the coordinate of one end provided with the second weight sensing device as A, and defining the position coordinate range of the ith column as more than (Ai-Bi/2) and less than or equal to (Ai + Bi/2);
a weight induction value obtaining step of obtaining a weight induction value Xj of the first weight induction device in a j-th stable state and a weight induction value Y of the second weight induction device in a j-th stable state in real timej
A variation value calculating step of calculating a variation value QX of the weight sensing value of the first weight sensing device in real timej=Xj-X(j-1)And a variation value QY of the weight-sensitive value of the second weight-sensitive devicej=Yj-Y(j-1)
A step of calculating the goods variation position when QXjOr QYjWhen the value is a non-zero value, calculating the position coordinate M of the goods quantity changej=(1–QXj/(QXj+QYj))*A;
A step of determining a position of the article to be moved, in which the position coordinates M are comparedjAnd the position coordinate range of each column when MjWhen the number is larger than (As-Bs/2) and smaller than or equal to (As + Bs/2), the number of the items in the s-th column is judged to be changed;
and a goods type judging step, namely judging the type of the goods taken away or put back according to the column positions with the changed goods quantity and the goods data.
Further, in the weight sensing value obtaining step, the weight sensing values collected by the first weight sensing device and the second weight sensing device include a stable sensing value and a fluctuation sensing value; the stable sensing value is a weight sensing value acquired by the weight sensing device in a stable state; the fluctuation induction value is a weight induction value acquired by the weight induction device in a fluctuation state.
Further, the weight induction value obtaining step specifically includes the following steps:
a stable sensing value obtaining step of obtaining a weight sensing value of the weight sensing device in the mth stable state and recording the weight sensing value as a stable sensing value Vm;
a real-time weight induction value acquisition step, wherein the real-time weight induction value Wr of the weight induction device is continuously acquired for multiple times, wherein r is the acquisition frequency, and the acquisition frequency is 70 times per second;
a fluctuation amount calculation step of calculating a real-time fluctuation amount Dr = Wr-Vm a plurality of times continuously;
a loop setting step, defining the counter value as p, starting from p =1, and executing the following steps in a loop, wherein the counter value is increased by one every time the loop is executed;
a fluctuation quantity selection step, namely recording n continuous fluctuation quantities starting from Dp by using a sliding window, wherein n is a preset numerical quantity, and n is more than or equal to 20 and less than or equal to 60; a fluctuation amount comparison step of comparing the n successive wavesMomentum, recording the maximum value Dn thereinmaxAnd a minimum value Dnmin(ii) a n is a preset number, and n is more than or equal to 20 and less than or equal to 60;
a step of calculating the difference value of the fluctuation amount, which is to calculate the maximum difference value Dn of the continuous n fluctuation amountsdiff=Dnmax-Dnmin
A step of comparing the fluctuation amount difference values, which is to compare DndiffComparing with a fluctuation amount difference threshold; when the difference value DndiffWhen the difference is larger than the fluctuation difference threshold value, judging that the weight sensing device is in a fluctuation state at the moment, and returning to the fluctuation selection step; when DndiffWhen the fluctuation amount difference is smaller than or equal to the fluctuation amount difference threshold value, judging that the weight sensing device is in a stable state at the moment, and executing the next step;
a new stable induction value calculation step of calculating n real-time weight induction values WpTo W(p+n-1)The average value of (a) is recorded as a new stable induction value W; and
a stable sensing value comparison step, wherein the difference value between the new stable sensing value W and the stable sensing value Vm is compared with a sensing value difference threshold value; when the difference value is larger than the induction value difference threshold value, judging that the new stable induction value W is the weight induction value V in the (m + 1) th stable state(m+1)(ii) a And when the difference value is smaller than or equal to the induction value difference threshold value, judging that the new stable induction value W is the weight induction value Vm in the mth stable state, and returning to the fluctuation quantity selection step.
Further, the goods identification method further comprises the following steps:
a weight difference value calculation step of calculating a weight change value Q = (QX) of the trayj+QYj) (ii) a After the goods category judging step, the method further comprises
A single item weight obtaining step, wherein the single item weight q of the goods which are taken away or put back is obtained according to the types of the goods which are taken away or put back and the goods data; and
and an item quantity calculating step of calculating the quantity N = Q/Q of the taken or replaced items.
Further, after the goods category judging step, the method also comprises
An item price acquisition step, namely acquiring an item price r of the removed or replaced goods according to the type of the removed or replaced goods and the goods data; and
and an item value calculating step of calculating the price R = R N of the removed or replaced item.
The invention also provides an electronic device comprising a memory and a processor; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code to perform at least one step of the item identification method.
The goods shelf, the goods identification method and the electronic equipment have the advantages that only one tray is arranged on each layer of shelf board of the goods shelf, one or two sensors are respectively arranged at two ends below the trays, the goods sensing function can be realized, the number of the sensors is effectively reduced, the existing goods sensing function is ensured, and meanwhile, the manufacturing cost of the goods shelf is effectively reduced. The column device of the shelf is detachable, and the size of each column can be adjusted at any time according to the requirements of users so as to be suitable for goods of different specifications.
Drawings
FIG. 1 is a schematic view of the overall structure of the pallet of the present invention;
fig. 2 is a schematic view of the overall construction of the deck board of the present invention;
fig. 3 is an exploded view of the deck board of the present invention;
fig. 4 is a schematic structural view of the deck board of the present invention;
fig. 5 is a partial schematic view of the internal portion of the deck board of the present invention;
FIG. 6 is a block diagram of a data processing system according to the present invention;
FIG. 7 is a flow chart of a method of identifying an item according to the present invention;
FIG. 8 is a flowchart of the weight sensing value obtaining step according to the present invention.
The various components in the figures are numbered as follows:
1. a shelf bracket 11, a bracket body 12 and a bracket bayonet;
2. shelf board, 21, pallet, 22, pallet, 23, first weight sensing means, 24, second weight sensing means, 25, column means, 26, label board, 27, spacer, 28, spacer,
211. a pallet body 212, claws 213, a transverse pallet 214, pallet side plates 220, notches 221, pallet side plates 251, a first bracket 252, a second bracket 253, a third bracket 254, a fourth bracket 271, a first connecting surface 272, a second connecting surface 273, a connecting end 281, a cushion block body,
2511. a first cross bar 2512, a support leg 2521, a second cross bar 2531, a cross beam 2541, a mounting plate 2542, a U-shaped support plate 2543 and a lapping plate;
3. the system comprises a data processing system 31, a data entry unit 32, a coordinate axis setting unit 33, a weight induction value acquisition unit 34, a change value calculation unit 35, a goods change position calculation unit 36, a goods type judgment unit 37, a weight difference value calculation unit 38, a single-goods weight acquisition unit 39, a goods quantity calculation unit 311, a single-goods price acquisition unit 312 and a goods value calculation unit;
41. a first row of holes 42, a second row of holes 43, a third row of holes 44, a fourth row of holes 45 and through holes;
51. a first limit hole 52, a second limit hole;
100. and (7) a shelf.
Detailed Description
The preferred embodiments of the present invention will be described in full hereinafter with reference to the accompanying drawings, for the technical content thereof to be more clearly understood. The present invention may be embodied in many different forms of embodiments and its scope is not limited to the embodiments set forth herein.
In the drawings, elements having the same structure are denoted by the same reference numerals, and elements having similar structure or function are denoted by the same reference numerals throughout. Directional phrases used in this disclosure, such as, for example, upper, lower, front, rear, left, right, inner, outer, upper, lower, side, top, bottom, front, rear, end, etc., are used in the drawings only for the purpose of explaining and illustrating the present invention and are not intended to limit the scope of the present invention.
When certain components are described as being "on" another component, the components can be directly on the other component; there may also be an intermediate member disposed on the intermediate member and the intermediate member disposed on the other member. When an element is referred to as being "mounted to" or "connected to" another element, they may be directly "mounted to" or "connected to" the other element or indirectly "mounted to" or "connected to" the other element through an intermediate element.
As shown in fig. 1 and 2, the present embodiment provides a shelf 100, which includes a shelf support 1 and at least one shelf plate 2, wherein each shelf plate 2 includes a supporting plate 21, a tray 22, a first weight sensing device 23, a second weight sensing device 24 and a column device 25. The shelf 100 may be mounted in a refrigerator or freezer. The tray 22 is used for placing the goods, and the goods placed on the shelf 100 of the present embodiment need to be conveniently taken away or put back by the user, so that the end of the shelf 100 or the tray 22 facing the user is the front end, and the end far away from the user is the rear end. The preferred embodiment is that the front end of the field device 25 is lower in height than the rear end thereof to facilitate the user's picking or placing of items within the tray 22.
In this embodiment, the support plate 21 is detachably or fixedly mounted to the shelf support 1. The preferred embodiment is that the pallet 21 is removably mounted to the shelf support 1. As shown in fig. 1 and 2, the shelf bracket 1 includes a bracket body 11 and a bracket bayonet 12, wherein the bracket body 11 is a vertically arranged rectangular cuboid; the bracket bayonet 12 is recessed in one side wall of the bracket body 11; the support bayonets 12 are uniformly distributed on the strip-shaped support body 11 along a straight line. Each supporting plate 21 comprises a supporting plate body 211 and a clamping jaw 212, wherein the clamping jaw 212 is arranged at one end edge of the supporting plate body 211 and is detachably clamped to the bracket bayonet 12, so that the goods shelf plate 2 is detachably mounted on the bracket body 11. More specifically, the left and right sides of the supporting plate body 211 include horizontal supporting plates 2111, the rear end of the horizontal supporting plates 2111 is provided with a claw 212, and when the claw 212 is fastened to the bracket bayonet 12, the upper edge or the lower edge of the supporting plate body 211 is perpendicular to the side wall of the bracket body 11.
As shown in fig. 1 and 2, a label plate 26 is further provided at a front end edge of each of the shelf boards 20, an upper end of the label plate 26 is connected to an upper end of the support plate 21, and the label plate 26 and the support plate 21 form a V-shaped groove. The label plate 26 is used to attach a plurality of labels as identification marks of the goods, and identifies the name, net weight, price, etc. of the goods on the shelf tray 22, so that the user can select the goods. The V-shaped groove configuration allows the label plate 26 to be angled away from the horizontal or vertical plane to facilitate viewing of the label display from the front of the shelf 100 or tray 22.
As shown in fig. 3, in the present embodiment, specifically, the support plate 21 is mounted to the shelf bracket 1; the tray 22 is arranged above the supporting plate 21 and is opposite to the supporting plate 21; the first weight sensing means 23 has a bottom portion connected to the upper surface of the pallet 21 and a top portion connected to the lower surface of the tray 22; the second weight sensing means 24 has a bottom portion coupled to the upper surface of the tray 21 and a top portion coupled to the lower surface of the tray 22; the column device 25 is disposed above the tray 22 for dividing the tray 22 into at least one column; the first weight sensing device 23 and the second weight sensing device 24 are respectively disposed at two ends of the tray 22. It is preferred that each tray 22 all be an open box body, can be placed one or more goods, first weight induction system 23 locates the left end of tray 22, second weight induction system 24 locates the right-hand member of tray 22 respectively, the real-time weight induction value of tray 22 and its upper surface goods can be accurately obtained to first weight induction system 23 and second weight induction system 24, the weight value change each time of accurate perception tray 22, including increase amount or reduction amount. When an article is taken away, the weight value data collected by the first weight sensing device 23 and/or the second weight sensing device 24 under the tray 22 where the article is located becomes small, and when an article is put back, the weight value data collected by the first weight sensing device 23 and/or the second weight sensing device 24 under the tray 22 where the article is located becomes large, and the change range of the weight value can also obtain a relatively accurate number.
In this embodiment, the first weight sensing device 23 includes two weight sensors disposed on the same straight line, and the second weight sensing device 24 includes two weight sensors disposed on the same straight line; the tray 22 includes, but is not limited to, a rectangle; the connection points of the four weight sensors to the tray 22 are respectively provided at the four corners of the tray 22. The weight of tray 22 is evenly distributed at the four corners of tray 22, so that the four weight sensors can accurately acquire the instantaneous weight variation values of tray 22 at the four corners of tray 22.
In other embodiments, the first weight sensing device 23 and the second weight sensing device 24 are a weight sensor; the connection points of the two weight sensors to the tray 22 are respectively provided at both ends of the tray 22. Preferably, the connection points of the first weight sensing device 23 and the second weight sensing device 24 to the tray 22 are located at the middle of the left and right ends of the tray 22, and more preferably, the connection points of the first weight sensing device 23 and the second weight sensing device 24 to the tray 22 are located at the central points of the left and right sides of the tray 22. This arrangement facilitates accurate acquisition of the weight of the tray 22 and prevents the weight value of the tray 22 from being deviated due to uneven distribution of the weight of the tray 22.
As shown in fig. 4, in this embodiment, the deck boards 2 further include pallet side panels 214 and/or tray side panels 221; the pallet side plates 214 protrude upward from the edges of the pallet 21; the tray side plate 221 protrudes downward from the edge of the tray 22; wherein, the middle of at least one supporting plate side plate 214 or at least one supporting plate side plate 221 is provided with a notch 220. The notch 220 is used for connecting the data line of the first weight sensing device 23 or the second weight sensing device 24, and in this embodiment, the notch 220 is only needed to be arranged in the middle of the at least one supporting plate side plate 214 or the at least one tray side plate 221, and the number and the shape of the notch 220 are not limited.
As shown in fig. 3 and 5, in the present embodiment, the deck board 2 further includes a spacer 27, and an upper surface of the spacer 27 is attached to a lower surface of the tray 22, and one end of the lower surface is attached to an upper surface of a weight sensor. Specifically, the spacer 27 includes a first connection surface 271, a second connection surface 272, and a connection end 273 connecting the first connection surface 271 and the second connection surface 272, an upper surface of the second connection surface 272 is attached to a lower surface of the tray 22, and one end of the lower surface of the first connection surface 271 is mounted to an upper surface of a weight sensor.
As shown in fig. 3, in the present embodiment, the column device 25 includes a first support 251 and/or a second support 252 and/or a third support 253; the supports are all made of at least one metal rod, so that the cost is low. The first bracket 251 is mounted to the front end of the tray 22; a second bracket 252 is mounted to the rear end of the tray 22; one end of the third bracket 253 is mounted to the front end of the tray 22, and the other end thereof is mounted to the rear end of the tray 22; the tray 22 is divided into at least one column.
In this embodiment, the first bracket 251 is detachably mounted to the front end of the tray 22; and/or, the second bracket 252 may be removably mounted to the rear end of the tray 22; and/or, one end of the third support 253 is detachably mounted to the front end of the tray 22, and the other end thereof is detachably mounted to the rear end of the tray 22.
As shown in fig. 4 and 5, in order to further fix the third bracket 253, the column device 25 includes a first bracket 251, a second bracket 252 and a third bracket 253, and further includes a first row of holes 41 penetrating the front end of the tray 22 and a second row of holes 42 penetrating the rear end of the tray 22.
The lower end of the first bracket 251 is inserted into the first row of holes 41, and the first bracket 251 includes a first limiting hole 51; the lower end of the second bracket 252 is inserted into the second row of holes 42, and the second bracket 252 includes a second limiting hole 52; the front end of the third bracket 253 passes through the first limiting hole 51 and is inserted into the first row of holes 41, the rear end thereof passes through the second limiting hole 52 and is inserted into the second row of holes 42, the front end and the rear end of the third bracket 253 are respectively installed to the first bracket 251 and the second bracket 252 in a pluggable manner, the first limiting hole 51 and the second limiting hole 52 are used for fixing the third bracket 253, so that the third bracket 253 cannot deflect in the front-rear direction and keeps relatively stable, the tray 22 can be divided into a plurality of columns by at least one third bracket 253, and each column is used for placing the same type of goods.
The user can pull out at least one third bracket 253 from the original position at any time and insert the third bracket into another position, so that the width of each column can be adjusted according to actual requirements, and the width of each column corresponds to the size of the goods to be placed.
More specifically, the first bracket 251 includes two first cross bars 2511 horizontally disposed, and a first limiting hole 51 is formed between the two first cross bars 2511; the bottom of the first bracket 251 is provided with more than two support legs 2512 which are inserted into the first row of holes 41; the second frame 252 includes two second bars 2521 horizontally disposed, and a second limiting hole 52 is formed between the two second bars 2521; the bottom of the second bracket 252 is provided with more than two support legs 2512 which are inserted into the second row of holes 42; the third bracket 253 includes at least one cross beam 2531 extending from a front end to a rear end, and includes a front leg 2512 and a rear leg 2512, wherein the front leg 2512 is inserted into the first row of holes 41, and the rear leg 2512 is inserted into the second row of holes 42, so as to fix the third bracket 253.
The supporting legs 2512 at the bottom of the three brackets are inserted into the first row of holes 41 and/or the second row of holes 42, and it can be understood that, in order to ensure the stability of the supporting legs 2512 after being inserted into the row of holes, the insertion depth of the supporting legs in the row of holes can be considered to be increased, so as to prevent the brackets from shaking. Further, the shelf 100 further comprises a fourth bracket 254, directly or indirectly connected to the tray 22 or the plate 21; the fourth bracket 254 includes a mounting plate 2541 and a third row of holes 43; the mounting plate 2541 is arranged below the tray 22 in parallel; the third row of holes 43 penetrates the mounting plate 2541 and is disposed opposite to the first row of holes 41 or the second row of holes 42. Preferably, the fourth bracket 254 has a thickness, such as 1-5 cm, to better secure the third bracket 253. Preferably, the fourth support 254 is spaced apart from the first support 251 or the second support 252 by a distance, such as 1-5 cm, to better secure the third support 253.
In the present embodiment, as shown in fig. 3 and 5, two ends of the fourth support 254 are respectively connected to a pad 27. Preferably, the length of the fourth bracket 254 is equal to the length of the tray 22, and the fourth bracket 254 is clamped between the left and right tray side plates 221, so that the fourth bracket 254 cannot swing left and right, and further the third bracket 253 fixed to the third row of holes 43 cannot swing left and right, thereby fixing the third bracket 253. The fourth bracket 254 has a cross-section of a zigzag shape and includes a mounting plate 2541, a U-shaped support plate 2542, and a bridge plate 2543. The U-shaped support plate 2542 is used for connecting the mounting plate 2541 and the bridging plate 2543, and the upper surface of the U-shaped support plate is attached to the lower surface of the tray 22; the overlapping plate 2543 is engaged with the upper surface of the second connection surface 272 of the pad 27 such that the weight of the tray 22 is transferred to the pad 27 through the fourth bracket 254, thereby allowing the weight of the tray 22 to be received and measured by the weight sensor.
As shown in fig. 5, in the present embodiment, the shelf 100 further includes a spacer 28, and the spacer 28 is disposed between the mounting plate 2541 and the tray 22; the cushion block 28 includes a strip-shaped cushion block body 281 and a fourth row of holes 44, wherein the fourth row of holes 44 penetrates through the cushion block body 281 and is disposed opposite to the first row of holes 41 or the second row of holes 42. It is understood that the first row of holes 41 and the second row of holes 42 are formed by the third row of holes 43 and the fourth row of holes 44 passing through.
The fixing mode of the third bracket 253 is specifically as follows: the third bracket 253 has a front end passing through the first position-limiting hole 51 and inserted into the first row of holes 41, the front fourth row of holes 44 and the third row of holes 43, and a rear end passing through the second position-limiting hole 52 and inserted into the second row of holes 42, the rear fourth row of holes 44 and the third row of holes 43. Due to the splicing mode, the size of each column can be adjusted at any time by the third support 253 in a plugging mode according to requirements, and the columns can be adjusted according to the size requirements of goods conveniently. Preferably, the spacer 28 has a thickness to better secure the third bracket 253.
The first row of holes 41, the second row of holes 42, the third row of holes 43, or the fourth row of holes 44 include more than two through holes 45, the distance between any two adjacent through holes 45 is the same, and the diameter of any two adjacent through holes 45 is the same. In other words, the through holes 45 of the first row of holes 41, the second row of holes 42, the third row of holes 43, and the fourth row of holes 44 are arranged at equal and equal intervals, so that the third bracket 253 can be used universally without changing the size, and the third bracket 253 can be adjusted in size of each column by plugging and unplugging according to the requirement at any time.
The present embodiment further comprises a data processing system 3, which may be arranged inside or outside the shelf, for determining the type and/or amount and/or price of the goods removed or replaced from the tray 22. The data processing system 3 is an electronic device, preferably a computer, comprising a memory and a processor; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code. The data processing system 3 comprises several functional units within the processor, a certain functional unit being arranged to implement a function corresponding to a certain aforementioned program when the processor runs the program.
As shown in fig. 6, the data processing system 3 includes a data entry unit 31, a coordinate axis setting unit 32, a weight-sensitive value acquisition unit 33, a variation value calculation unit 34, an article variation position calculation unit 35, and an article type determination unit 36.
The data entry unit 31 is configured to enter tray data of the tray 22 and goods data of each good placed on the tray 22, where the tray data includes a width a of the tray 22, a center point position Ai of an i-th column on the tray 22, and a column width Bi; the item data includes the type, weight, price and column of each item.
The coordinate axis setting unit 32 is configured to set up a one-dimensional coordinate axis in the lateral direction of the pallet 22, defining the coordinate of the end provided with the first weight sensing device 23 as 0, defining the coordinate of the end provided with the second weight sensing device 24 as a, and defining the position coordinate range of the i-th field as greater than (Ai-Bi) and less than or equal to (Ai + Bi); the tray data includes coordinates of both ends of the tray 22 in the direction of the tray 22, the coordinate of the end provided with the first weight sensing device 23 is defined as 0, and the coordinate of the end provided with the second weight sensing device 24 is defined as A; the position coordinate range of the i-th column is greater than (Ai-Bi) and less than or equal to (Ai + Bi).
The weight-induced value obtaining unit 33 is used for obtaining the weight-induced value X of the first weight-induced device 23 in real timejAnd the weight sensing value Y of the second weight sensing means 24j
The variation value calculating unit 34 is used for calculating the variation value QX of the weight sensing value of the first weight sensing device 23 in real timej=Xj-X(j-1)And a variation value QY of the weight-sensitive value of the second weight-sensitive device 24j=Yj-Y(j-1)
When QXjOr QYjThe item variation position calculation unit 35 is configured to calculate a position coordinate Mj = (1-QX) at which the number of items varies when the value is a non-zero valuej/(QXj+QYj) A); the article variation position determination unit 3 compares the position coordinates Mj with the position coordinate range of each column, and determines that the number of articles in the s-th column varies when Mj is greater than (As-Bs) and equal to or less than (As + Bs).
The goods type determining unit 36 is configured to determine the type of the goods taken away or replaced according to the column where the quantity of the goods changes, the type of each goods in the goods data, and the column where the goods is located.
As shown in fig. 6, in the present embodiment, the data processing system 3 further includes a weight difference value calculating unit 37, an individual weight acquiring unit 38, and an article number calculating unit 39. The weight difference value calculating unit 37 is configured to calculate a weight change value Q = (QX) of the tray 22j+QYj) (ii) a The individual item weight obtaining unit 38 is configured to obtain an individual item weight q of the removed or replaced item based on the kind of the removed or replaced item and the kind of each item in the item data and the individual item weight thereof; the quantity of items calculating unit 39 is for calculating the number of items taken away or put back N = Q/Q.
As shown in fig. 6, in the present embodiment, the data processing system 3 further includes an item price acquisition unit 311 and an item value calculation unit 312; the item price acquiring unit 311 is configured to acquire an item price r of the removed or placed back item according to the type of the removed or placed back item, the type of each item in the item data, and an item price thereof; the goods value calculation unit 312 is used to calculate the price R = R × N of the removed or replaced goods.
As shown in fig. 7, based on the shelf as described above, the present invention also provides an article identification method, which includes steps S1-S8.
S1, a shelf setting step, namely setting the shelf 100, and placing the same type of goods on the same column of the shelf 100; the same kind of goods refers to two or more goods having the same weight and unit price.
S2, a data entry step of entering the tray 22 data of the tray 22 and the goods data of each goods placed on the tray 22, the tray 22 data including the width a of the tray 22, the center point position Ai and the field width Bi of the i-th field on the tray 22; the item data includes the type, weight, price and column of each item.
S3, a coordinate axis setting step, wherein a one-dimensional coordinate axis is established in the transverse direction of the tray 22, the coordinate of the end provided with the first weight sensing device 23 is defined as 0, the coordinate of the end provided with the second weight sensing device 24 is defined as A, and the position coordinate range of the ith column is defined as more than (Ai-Bi/2) and less than or equal to (Ai + Bi/2);
the data of the tray 22 includes coordinates of two ends of the tray 22 in the direction of the tray 22, the coordinate of the end provided with the first weight sensing device 23 is defined as 0, and the coordinate of the end provided with the second weight sensing device 24 is defined as A; the position coordinate range of the i-th field is greater than (Ai-Bi/2) and less than or equal to (Ai + Bi/2).
S4, a weight induction value obtaining step of obtaining the weight induction value X of the first weight induction device 23 in the jth stable state in real timejAnd the weight sensing value Y of the second weight sensing device 24 in the jth steady statej
S5, calculating a variation value QX of the weight sensing value of the first weight sensing device 23 in real timej=Xj-X(j-1)And a variation value QY of the weight-sensitive value of the second weight-sensitive device 24j=Yj-Y(j-1)
S6, calculating the goods variation position, when QX is usedjOr QYjWhen the value is a non-zero value, calculating the position coordinate M of the goods quantity changej=(1–QXj/(QXj+QYj))*A。
S7, determining the position of the article, comparing the position coordinate MjAnd the position coordinate range of each column when MjWhen the number is larger than (As-Bs/2) and smaller than (As + Bs/2), it is judged that the number of items in the s-th column varies.
S8, a goods type judging step, which judges the type of the goods taken away or put back according to the column of the changed quantity of the goods, the type of each goods in the goods data and the column thereof.
In the above steps, the processor in the electronic device runs the executable computer program to implement steps S2-S8.
In this embodiment, the weight sensing device is a weight sensor, and when the weight above the sensor changes, the sensing value often fluctuates, the fluctuation time is uncertain, and the value acquired after the sensor is stable is the true sensing value. In the weight sensing value obtaining step S4, the weight sensing values collected by the first weight sensing device 23 and the second weight sensing device 24 include a stable sensing value and a fluctuation sensing value; the stable sensing value is a weight sensing value acquired by the weight sensing device in a stable state; the fluctuation induction value is a weight induction value acquired by the weight induction device in a fluctuation state.
As shown in fig. 8, in the present embodiment, the processor in the electronic device runs an executable computer program, and executes the weight-sensing-value obtaining step S4 to obtain the weight sensing value of each weight sensing device in each stable state, which specifically includes the following steps S41 to S50.
S41, a stable sensing value obtaining step, obtaining a weight sensing value Vm of the weight sensing device in the mth stable state.
And S42, acquiring real-time weight induction values, namely acquiring the real-time weight induction values Wr of the weight induction device for multiple times continuously, wherein r is the acquisition times, and the acquisition frequency is preferably 70 times per second. The real-time weight sensing values Wr of the weight sensing device are respectively W1, W2, W3, … …, W70, W71 and … ….
S43, calculating a fluctuation amount, namely calculating real-time fluctuation amount Dr = Wr-Vm continuously for multiple times; dr is D1, D2, D3, … …, D70, D71, … …, respectively.
And S44, a loop setting step, wherein the counter value is defined as p, the following steps S45-S50 are executed in a loop from p =1, and the counter value is increased by one every time the loop is executed.
S45, a fluctuation amount selection step of recording n continuous fluctuation amounts starting from Dp to D with a sliding window(p+n-1)N is a preset number, and n is more than or equal to 20 and less than or equal to 60. This embodiment prefers n =40, and the sliding window records the numerical values of D1, D2, D3, … …, D40 when p = 1.
S46, a fluctuation amount comparison step of comparing the n (n = 40) continuous fluctuation amounts and recording the maximum value Dn of the n (n = 40) continuous fluctuation amountsmaxAnd a minimum value Dnmin
S47, calculating a fluctuation amount difference value calculation step of calculating a maximum difference value Dn of n (n = 40) consecutive fluctuation amountsdiff=Dnmax-Dnmin
S48, comparing the fluctuation quantity difference value, and comparing DndiffComparing with a preset fluctuation difference threshold value; the fluctuation amount difference threshold is a preset threshold, preferably 1-3 g, in this embodiment 2 g.
When the difference value DndiffWhen the difference is larger than the fluctuation difference threshold value, judging that the weight sensing device is in a fluctuation state at the moment, returning to the fluctuation selection step S45, and adding one to the counter value; when DndiffIf the fluctuation amount difference is less than or equal to the fluctuation amount difference threshold, it is determined that the weight sensing device is in a stable state, and the next step S49 is executed.
S49 calculating new stable induction values, calculating n real-time weight induction values Wp to W(p+n-1)The average value of (a) is recorded as a new stable induction value W; when p =1, the average value of W1, W2, W3, … …, W40 is calculated as a new stable induction value W.
S50 comparing the stable sensing value, comparing the difference between the new stable sensing value W and the weight sensing value Vm with a sensing value difference threshold; when the difference value is larger than the induction value difference threshold value, judging that the new stable induction value W is the weight induction value V in the (m + 1) th stable state(m+1)(ii) a And when the difference value is less than or equal to the induction value difference threshold value, judging that the new stable induction value W is the weight induction value Vm in the mth stable state. Returning to the fluctuation amount selection step S45, the counter value is incremented by one. The induction valueThe difference threshold is a preset threshold, preferably 0.1 g to 10 g, and 2 g is selected in this embodiment.
In the case where no one takes or places the goods from the shelf, the weight sensing device is generally in a stable state for a long time, the stable state is a continuous process, and the stable sensing value of the weight sensing device may not change for a long time. The continuous stable induction values W judged by the method are all equal to the previous stable induction value Vm, and at the moment, the influence of errors can be ignored, and the continuous stable induction values are all considered to be in the same stable state. Two successive stationary induction values separated by at least one fluctuating induction value are considered to belong to two adjacent stationary states when the difference between the two stationary induction values is large.
In the above steps S41-S50, the real-time difference Dr is calculated for the current stable value Vm of the shelf and the current real-time value Wr, and Dr = Wr-Vm. When the goods are removed or put back, a fluctuation-sensed value is generated, and the first weight-sensing device 23 and the second weight-sensing device 24 sample the real-time difference value Dr at a real-time frequency of 70Hz, i.e., 70 times per second. The 40 Dr values closest to Vm are recorded consecutively as D1, D2, … …, D40 using a sliding window. If the difference D between the maximum and minimum of the 40 Dr values40diffWhen the fluctuation amount difference threshold value (such as 2 g) is not exceeded, the weight sensing device is judged to be in a stable state at the moment, and the average value of the 40 values is calculated and recorded as a new stable sensing value W. If the difference between the new stable sensing value W and the weight sensing value Vm is less than 2 g, the new stable sensing value W is considered to be similar to the weight sensing value Vm under the mth stable state. If the difference between the new stable induction value W and the weight induction value Vm is larger than 2 g, the new stable induction value W is considered to be in the new stable state at the moment, and the new stable induction value W is the weight induction value V in the (m + 1) th stable state(m+1). If the difference D between the maximum and minimum of the 40 Dr values40diffAnd if the fluctuation quantity difference threshold value is exceeded, judging that the weight sensing device is in a fluctuation state at the moment.
No matter the weight sensing device is in a stable state or a fluctuation state, the fluctuation amount selection step S45 is returned, the steps S45-S50 are executed in a circulating mode, the counter is increased by one every time the circulation is carried out, and the sliding window slides backwards by one bit. If p =2, the sliding window records the numerical values of D2, D3, … …, D40, D41; when p =3, the sliding window records the numerical values of D3, D4, … …, D41, D42, and so on. In other embodiments, the number of sliding window sliding bits may not be limited to 1 bit, may not be limited to 40 consecutive bits, and may be other suitable values.
It should be noted that in the shelf setting step S1, when the shelf 100 is set and is in the empty state, the weight sensing values collected by the first weight sensing device 23 and the second weight sensing device 24 in the stable state are in the 1 st stable state; in the process of placing the goods, the 2 nd stable state and the 3 rd stable state … … are sequentially formed after each time of placing the goods until the goods are placed.
In the empty state of the shelf, the weight sensing value of the weight sensor on the shelf is the stable sensing value V1 in the 1 st stable state, which is data that can be easily measured after the shelf is set. According to the method of the above steps S41-S50, the weight sensing value V in the (m + 1) th stable state can be calculated according to the weight sensing value Vm in the mth stable state of a weight sensor(m+1). According to the recursive method, the computer can easily obtain the stable sensing value of the weight sensor in each stable state.
As shown in fig. 7, in this embodiment, the article identification method further includes the steps of:
s51, a weight difference calculation step of calculating a weight change value Q = (QX) of the tray 22j+QYj);
At this time, after the goods kind judging step S8, steps S9-S10 are further included:
s9, a single item weight obtaining step, namely obtaining the single item weight q of the removed or replaced goods according to the types of the removed or replaced goods, the types of each goods in the goods data and the single item weight thereof; and
s10, item number calculating step of calculating the number N = Q/Q of the taken or put-back item.
As shown in fig. 7, in the present embodiment, after the goods category judgment step, steps S11-S12 are further included:
s11, an individual price acquiring step, namely acquiring the individual price r of the removed or replaced goods according to the types of the removed or replaced goods, the types of each goods in the goods data and the individual price thereof; and
s12, an item value calculating step of calculating the price R = R × N of the removed or replaced item.
The data processing system 3 comprises a processor for executing a program corresponding to the executable program code by reading the executable program code to perform at least one step of the above-mentioned goods identification method, including steps S2-S12 and S51. The tray data and the goods data are entered in step S2 for the purpose of establishing an initial database; matching the tray data with the goods data can be realized by setting coordinate axes in step S3, and the goods information in any column of any tray can be known; in steps S4-S7, the weight sensing values of the first weight sensing device 23 and the second weight sensing device 24 are obtained in real time, so that it is known which tray the goods are taken away or put back, and the instantaneous weight change value of the tray and the coordinates of the goods change position can be accurately obtained by calculation, so that it is known which column the goods are taken away or put back; judging the kind of the removed or replaced article according to the article data in the column at step S8; the total weight of the removed or replaced goods is known by calculating the weight variation value of the tray in step S51; the number of the removed or replaced articles is known by the individual article weight calculation of the articles in steps S9-S10; the price of the removed or replaced article is known through the individual price calculation of the article in steps S11-S12.
The invention also provides an electronic device comprising a memory and a processor; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code to perform at least one step of the item identification method.
The goods shelf, the goods identification method and the electronic equipment have the advantages that only one tray is arranged on each layer of shelf board of the goods shelf, one or two sensors are respectively arranged at two ends below the trays, the goods sensing function can be realized, the number of the sensors is effectively reduced, the existing goods sensing function is ensured, and meanwhile, the manufacturing cost of the goods shelf is effectively reduced. The column device of the shelf is detachable, the size of each column can be adjusted at any time in a plugging and unplugging mode according to requirements, and the column can adjust the size of each column according to the requirements of a user so as to be suitable for goods of different specifications.
The above are only preferred embodiments of the present invention to make it clear for those skilled in the art how to practice the present invention, and these embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are intended to be included within the scope of the invention.

Claims (18)

1. A goods shelf comprises a goods shelf bracket and at least one goods shelf plate, which is characterized in that,
each deck board includes:
the supporting plate is arranged on the shelf bracket;
the tray is arranged above the supporting plate and is opposite to the supporting plate;
a first weight sensing means having a bottom portion coupled to the upper surface of the pallet and a top portion coupled to the lower surface of the pallet;
a second weight sensing means having a bottom portion coupled to the upper surface of the pallet and a top portion coupled to the lower surface of the tray; and
the column device is arranged above the tray and used for dividing the tray into at least one column;
wherein, first weight induction system, second weight induction system locate respectively the both ends of tray.
2. The pallet of claim 1,
the first weight sensing device and the second weight sensing device are weight sensors;
the connecting points of the two weight sensors and the tray are respectively arranged at the two ends of the tray.
3. The pallet of claim 1,
the first weight sensing device comprises two weight sensors arranged on the same straight line,
the second weight sensing device comprises two weight sensors arranged on the same straight line;
the tray includes, but is not limited to, a rectangle;
the four weight sensors and the connecting points of the tray are respectively arranged at the four corners of the tray.
4. The rack of claim 1, wherein the deck boards further comprise:
pallet side panels projecting upwardly beyond the edges of the pallet, and/or,
the tray side plate protrudes downwards from the edge of the tray;
wherein, the middle part of at least one layer board lateral plate or at least one layer board lateral plate is provided with a gap.
5. The rack of claim 1, wherein the deck boards further comprise:
a spacer, an upper surface of which is attached to a lower surface of the tray, and an end of a lower surface of which is mounted to an upper surface of a weight sensor.
6. The pallet of claim 1, wherein the field device comprises
A first bracket mounted to a front end of the tray; and/or the presence of a gas in the gas,
a second bracket mounted to a rear end of the tray; and/or the presence of a gas in the gas,
a third bracket, one end of which is mounted to the front end of the tray, and the other end of which is mounted to the rear end of the tray; dividing the tray into at least one column.
7. The pallet of claim 6,
the first bracket is detachably mounted at the front end of the tray; and/or the presence of a gas in the gas,
the second bracket is detachably mounted at the rear end of the tray; and/or the presence of a gas in the gas,
one end of the third support is detachably mounted to the front end of the tray, and the other end of the third support is detachably mounted to the rear end of the tray.
8. The pallet of claim 1, wherein the field device comprises:
the first row of holes penetrate through the front end of the tray;
the second row of holes penetrate through the rear end of the tray;
the lower end of the first bracket is inserted into the first row of holes, and the first bracket comprises a first limiting hole;
the lower end of the second bracket is inserted into the second row of holes, and the second bracket comprises a second limiting hole; and
and the front end of the third support penetrates through the first limiting hole and is inserted into the first row of holes, and the rear end of the third support penetrates through the second limiting hole and is inserted into the second row of holes.
9. The pallet of claim 8, further comprising
A fourth bracket directly or indirectly connected to the tray or the palette;
the fourth support comprises
The mounting plate is arranged below the tray in parallel; and
and the third row of holes penetrate through the mounting plate and are opposite to the first row of holes or the second row of holes.
10. The pallet of claim 9,
and two ends of the fourth bracket are respectively connected to a gasket.
11. The pallet of claim 9, further comprising
The cushion block is arranged between the mounting plate and the tray;
the cushion block comprises
The cushion block body is in a strip shape; and
and the fourth row of holes penetrate through the cushion block body and are opposite to the first row of holes or the second row of holes.
12. The rack of claim 1, further comprising a data processing system to determine the type and/or quantity and/or price of the item removed or replaced on the tray.
13. A method of identifying an item, comprising the steps of:
a shelf setting step of setting a shelf according to claim 1, in which the same kind of goods are placed on the same column of the shelf;
a data entry step, wherein tray data of the tray and goods data of each goods placed on the tray are entered, and the tray data comprise the width A of the tray, the central point position Ai of the ith column on the tray and the column width Bi; the goods data comprises the type, the weight and the price of each goods and the column of the goods;
a coordinate axis setting step of setting a one-dimensional coordinate axis in the transverse direction of the tray, defining the coordinate of one end provided with the first weight sensing device as 0, defining the coordinate of one end provided with the second weight sensing device as A, and defining the position coordinate range of the ith column as more than (Ai-Bi/2) and less than or equal to (Ai + Bi/2);
a weight induction value acquisition step of acquiring a weight induction value X of the first weight induction device in a jth stable state in real timejAnd the second weight sensing means is atWeight induction value Y in j times stable statej
A variation value calculating step of calculating a variation value QX of the weight sensing value of the first weight sensing device in real timej=Xj-X(j-1)And a variation value QY of the weight-sensitive value of the second weight-sensitive devicej=Yj-Y(j-1)
A step of calculating the goods variation position when QXjOr QYjWhen the value is a non-zero value, calculating the position coordinate M of the goods quantity changej=(1–QXj/(QXj+QYj))*A;
A step of determining a position of the article to be moved, in which the position coordinates M are comparedjAnd the position coordinate range of each column when MjWhen the number is larger than (As-Bs/2) and smaller than or equal to (As + Bs/2), the number of the items in the s-th column is judged to be changed; and
and a goods type judging step, namely judging the type of the goods taken away or put back according to the column positions with the changed goods quantity and the goods data.
14. The article identification method according to claim 13,
in the weight-sensed-value acquiring step,
the weight induction values collected by the first weight induction device and the second weight induction device comprise a stable induction value and a fluctuation induction value;
the stable sensing value is a weight sensing value acquired by the weight sensing device in a stable state;
the fluctuation induction value is a weight induction value acquired by the weight induction device in a fluctuation state.
15. The article identification method according to claim 13,
the weight induction value obtaining step specifically comprises the following steps:
a stable sensing value obtaining step of obtaining a weight sensing value of the weight sensing device in the mth stable state and recording the weight sensing value as a stable sensing value Vm;
a real-time weight induction value acquisition step, wherein the real-time weight induction value Wr of the weight induction device is continuously acquired for multiple times, wherein r is the acquisition frequency, and the acquisition frequency is 70 times per second;
a fluctuation amount calculation step of calculating a real-time fluctuation amount Dr = Wr-Vm a plurality of times continuously;
a loop setting step, defining the counter value as p, starting from p =1, and executing the following steps in a loop, wherein the counter value is increased by one every time the loop is executed;
a fluctuation quantity selection step, namely recording n continuous fluctuation quantities starting from Dp by using a sliding window, wherein n is a preset numerical quantity, and n is more than or equal to 20 and less than or equal to 60; a fluctuation amount comparison step of comparing the n successive fluctuation amounts and recording the maximum value Dn thereofmaxAnd a minimum value Dnmin(ii) a n is a preset number, and n is more than or equal to 20 and less than or equal to 60;
a step of calculating the difference value of the fluctuation amount, which is to calculate the maximum difference value Dn of the continuous n fluctuation amountsdiff=Dnmax-Dnmin
A step of comparing the fluctuation amount difference values, which is to compare DndiffComparing with a fluctuation amount difference threshold; when the difference value DndiffWhen the difference is larger than the fluctuation difference threshold value, judging that the weight sensing device is in a fluctuation state at the moment, and returning to the fluctuation selection step; when DndiffWhen the fluctuation amount difference is smaller than or equal to the fluctuation amount difference threshold value, judging that the weight sensing device is in a stable state at the moment, and executing the next step;
a new stable induction value calculation step of calculating n real-time weight induction values WpTo W(p+n-1)The average value of (a) is recorded as a new stable induction value W; and
a stable sensing value comparison step, wherein the difference value between the new stable sensing value W and the stable sensing value Vm is compared with a sensing value difference threshold value; when the difference value is larger than the induction value difference threshold value, judging that the new stable induction value W is the weight induction value V in the (m + 1) th stable state(m+1)(ii) a When the difference is less than or equal to the induction value difference threshold, judging that the new stable induction value W is the weight induction value Vm in the mth stable state, and returning to the fluctuation selectionAnd (5) carrying out the following steps.
16. The article identification method of claim 13, further comprising
A weight difference value calculation step of calculating a weight change value Q = (QX) of the trayj+QYj) (ii) a After the goods category judging step, the method further comprises
A single item weight obtaining step, wherein the single item weight q of the goods which are taken away or put back is obtained according to the types of the goods which are taken away or put back and the goods data; and
and an item quantity calculating step of calculating the quantity N = Q/Q of the taken or replaced items.
17. The article identification method according to claim 13,
after the goods category judging step, the method further comprises
An item price acquisition step, namely acquiring an item price r of the removed or replaced goods according to the type of the removed or replaced goods and the goods data; and
and an item value calculating step of calculating the price R = R N of the removed or replaced item.
18. An electronic device comprises
A memory for storing executable program code; and
a processor for executing a program corresponding to the executable program code by reading the executable program code to perform at least one step of the item identification method according to any one of claims 13 to 17.
CN201911192997.4A 2019-11-28 2019-11-28 Goods shelf, goods identification method and electronic equipment Pending CN111109947A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
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CN111831673A (en) * 2020-06-10 2020-10-27 上海追月科技有限公司 Goods identification system, goods identification method and electronic equipment
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