CN111784917A - Intelligent commodity vending machine based on self-learning algorithm - Google Patents

Abstract

The invention relates to a self-learning algorithm-based intelligent commodity vending machine, which comprises a shell, a storage box group, a detection box group, a first motor group, a mixing cavity, a second motor and a control panel, wherein a central control processor is arranged, and an initial brewing matrix group A0 is pre-stored in the central control processor, so that when a user uses the vending machine successively, each user-defined parameter can be sequentially recorded and counted, the central control processor can adjust each parameter in the A0 matrix group and establish a corrected brewing matrix group Aa through calculation after the parameters are accumulated, and the vending machine can brew customized beverages specially belonging to the user through each parameter in the Aa matrix group, so that the brewed beverages meet the personal requirements of the user, and the customization range of the vending machine is enlarged.

Description

Intelligent commodity vending machine based on self-learning algorithm

Technical Field

The invention relates to the technical field of intelligent vending machines, in particular to a self-learning algorithm-based intelligent commodity vending machine.

Background

In the prior art, most of brewed beverages are made by vending machines, and when the existing vending machines are made for beverages with different formulas, ingredients are single, and the beverages can be brewed but cannot be customized according to individual taste.

Disclosure of Invention

Therefore, the invention provides a self-learning algorithm-based intelligent commodity vending machine, which is used for solving the problem that the customization range of the vending machine is small due to the fact that the customization adjustment cannot be carried out on the raw material powder using amount and the brewing mode in the prior art.

In order to achieve the above object, the present invention provides a self-learning algorithm based intelligent commodity vending machine, comprising:

the device comprises a shell, wherein a cavity is arranged in the shell, a partition plate is vertically arranged in the cavity, a first through groove is formed in the top of the shell and communicated with the cavity, a second through groove is formed in the side wall of the bottom of the shell and communicated with the cavity;

the storage box group is arranged in the cavity and positioned on one side of the partition board close to the second through groove and used for storing raw materials; the storage box group comprises a plurality of horizontally arranged storage boxes; for a single storage box, a feed inlet is arranged at the top of the storage box; the first through hole is formed in the bottom of the storage box; the rectangular groove is formed in the inner side wall of the bottom of the storage box and is overlapped with the first through hole; a movable plate is arranged in the rectangular groove, and a second through hole is formed in the end face of the movable plate; a material level detector is arranged on the side wall in each storage box and used for detecting the material level of the raw materials in the storage box so as to judge the pre-storage amount of each raw material;

the detection box group is arranged below the storage box group and used for extracting raw materials with specified mass from the storage box group; the detection box group comprises a plurality of detection boxes which are horizontally arranged, the number of the detection boxes is the same as that of the storage boxes, and the detection boxes are respectively connected with the storage boxes at corresponding positions; for a single detection box, the detection box comprises an opening which is arranged at the top of the detection box and is communicated with the corresponding storage box; a mass sensor provided on an upper surface of a lower sidewall of the storage tank; a conduit extending through a lower sidewall of the detection chamber; the output end of the guide pipe is provided with a first electromagnetic valve;

the first motor set is arranged on one side, far away from the second through groove, of the partition board; the first motor group comprises a plurality of first motors which are horizontally arranged, the number of the first motors is the same as that of the storage boxes, and the first motors are respectively arranged between the corresponding storage boxes and the corresponding detection boxes; for a single first motor, an output shaft of the first motor penetrates through the partition plate and is positioned in the rectangular groove, threads are arranged on the side wall of the output shaft of the first motor and are in threaded connection with the movable plate, and the movable plate is controlled to horizontally move in the rectangular groove by rotating the output shaft;

the mixing cavity is arranged on one side of the partition board close to the second through groove and is positioned below the detection box group, and is used for mixing raw materials to brew drinks; a spiral fan blade is arranged in the mixing cavity, and two ends of the spiral fan blade are respectively and rotatably connected with two side walls of the mixing cavity; a temperature sensor is also arranged in the mixing cavity and used for detecting the temperature of the brewed beverage; a discharge pipe is arranged at the bottom of the mixing cavity and used for discharging the beverage; the output end of the discharge pipe is provided with a second electromagnetic valve;

the output shaft of the second motor penetrates through the shell and is connected with the spiral fan blades so as to drive the spiral fan blades to rotate;

the control panel is arranged on the side wall of the shell, a central control processor is arranged in the control panel, and the central control processor is respectively connected with the material level sensors, the quality sensors, the first electromagnetic valves, the first motors, the temperature sensors, the second electromagnetic valves and the second motors, and is used for controlling the first motors to control the output quantity of each raw material according to a preset formula in the control panel, feeding back the output quantity of each raw material through the quality sensors, controlling the first electromagnetic valves to determine the discharging sequence of each raw material, controlling the second motors to adjust the stirring speed and the stirring time when the beverage is brewed, adjusting the brewed beverage to a specified temperature, and opening the second electromagnetic valves to output the beverage;

the central control processor is provided with an initial brewing matrix group A0, and in the operation process of the vending machine, the central control processor records and counts parameters in each brewing process, and finely adjusts each parameter in the initial brewing matrix group A0 according to the statistical result to establish a brewing matrix group aiming at the customized beverage of an individual.

Furthermore, a timer is arranged in the control panel and used for recording the staying time of each first motor and the rotating time of each second motor.

Further, each of the storage boxes is used for storing raw material powder, chilled milk at 5 ℃, cold water at 5 ℃ and hot water at 98 ℃, and an initial brewing matrix group a0(C0, N0, L0, R0, S0, J0, T0) is set in the central processor, wherein C0 is a raw material powder initial dosage matrix, N0 is a chilled milk initial dosage matrix, L0 is a cold water initial dosage matrix, R0 is a hot water initial dosage matrix, S0 is an initial charging sequence matrix, J0 is an initial stirring matrix, and T0 is an initial beverage temperature;

an initial raw powder use amount matrix C0, C0(mc0, rc0, tc0), wherein mc0 is the initial raw powder use quality, rc0 is the initial rotation speed of the first motor corresponding to the raw powder-loading storage bin, and tc0 is the initial residence time of the first motor;

for the initial usage matrix of the ice milk N0, N0(mn0, rn0, tn0), where mn0 is the initial ice milk usage quality, rn0 is the initial rotation speed of the first motor corresponding to the storage tank loaded with ice milk, and tn0 is the initial stay time of the first motor;

for the cold water initial usage matrix L0, L0(ml0, rl0, tl0), where ml0 is the initial cold water usage mass, rl0 is the initial rotation speed of the first motor corresponding to the cold water-loaded storage tank, and tl0 is the initial residence time of the first motor;

for the hot water initial usage matrix R0, R0(mr0, rr0, tr0), where mr0 is the initial hot water usage mass, rr0 is the initial rotation speed of the first motor corresponding to the hot water-laden storage tank, and tr0 is the initial dwell time of the first motor;

for the initial charging sequence matrix S0, S0(sc, sr, sl, sn), where sc is the raw powder charging step, sr is the hot water charging step, sl is the cold water charging step, and sn is the ice milk charging step;

for initial mixing matrices J0, J0(rj0, tj0), where rj0 is the initial rotation speed of the helical blades and tj0 is the initial rotation time of the helical blades;

when the vending machine selects the initial brewing matrix group to brew drinks, the central control processor sequentially selects a C0 matrix, an N0 matrix, an L0 matrix and an R0 matrix, and the rotating speed and the residence time of the corresponding first motor are adjusted to respectively output the specified amounts of raw material powder, ice milk, cold water and hot water from the specified storage box to the corresponding detection box;

when the central control processor conveys single materials, the central control processor selects a corresponding matrix I0(mi0, ri0 and ti0), wherein I is C, N, L, R, I is C, N, L and R, the central control processor controls a first motor corresponding to a storage box loaded with raw materials to rotate positively at the ri0 rotating speed so as to enable a second through hole and the first through hole to be arranged concentrically, the raw materials enter a detection box through the first through hole at the moment, a timer starts to record the residence time ti of the first motor, and when ti is ti0, the first motor starts and rotates reversely at the ri0 rotating speed so as to close the first through hole;

after the feeding is finished, the quality of the raw materials mi is detected by a quality detector in the corresponding detection box:

when mi is less than mi0, the central control processor calculates a compensation rotating speed rib and a compensation staying time tib according to the difference between mi0 and mi;

when mi is 0, the central control processor judges that the raw material is completely conveyed;

when the central control processor judges that the raw materials are conveyed, the central control processor sequentially opens corresponding first electromagnetic valves according to a parameter arrangement sequence in an initial feeding sequence matrix S0(sc, sr, sl, sn) to sequentially output raw material powder, hot water, cold water and ice milk to the mixing cavity, when the conveying is finished, the central control processor controls a second motor to be started and enables the spiral fan blades to rotate at a rotational speed of rj0, when the spiral fan blades rotate, a timer starts to record the rotation time tj of the spiral fan blades, and a temperature detector detects the temperature T of the beverage:

when T is T0 and tj is less than tj0, the central control processor controls the second motor to stop rotating and controls the second electromagnetic valve to be opened to output the beverage;

when tj is tj0 and T > T0, the central processor controls the second motor to continue to rotate until T is T0, at which time the central processor controls the second motor to stop rotating and controls the second solenoid valve to open to output the beverage.

Further, the central processor uses the following formulas to calculate the compensated rotation speed rib and the compensated stay time tib according to the difference between mi0 and mi:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

Further, the control panel is a touch panel, and a user can define the raw material powder amount, the ice milk amount, the cold water amount, the hot water amount, the raw material adding sequence, the stirring speed, the stirring time and the beverage temperature when brewing the beverage through the control panel; when a user carries out self-defined beverage brewing, the central control processor records the raw material powder amount mc1, the ice milk amount mn1, the cold water amount ml1, the hot water amount mr1, the raw material adding sequence, the first stirring rotating speed rj1 and the first stirring time tj1, and establishes a raw material powder first amount matrix C1(mc1, rc1, tc1), an ice milk first amount matrix N1(mn1, rn1, tn1), a cold water first amount matrix L1(ml1, rl1, tl1), a hot water first amount matrix R1(mr1, rr1, tr1), a first adding sequence matrix S1, a first stirring matrix J1(rj1, tj1) and a first beverage temperature T1 in sequence; after the establishment is finished, the central control processor adopts the parameters in the matrix to brew the beverage;

when a user carries out self-defined beverage brewing for the second time, the central control processor can sequentially establish a raw material powder second quantity matrix C2, a chilled milk second quantity matrix N2, a cold water second quantity matrix L2, a hot water second quantity matrix R2, a second feeding sequence matrix S2, a second stirring matrix J2 and a second beverage temperature T2 after recording, and carry out beverage brewing by adopting parameters in the matrixes;

when a user carries out self-defined beverage brewing for the nth time, the central control processor can sequentially establish an nth dosage matrix Cn of raw material powder, an nth dosage matrix Nn of ice milk, an nth dosage matrix Ln of cold water, an nth dosage matrix Rn of hot water, an nth feeding sequence matrix Sn, an nth stirring matrix Jn and an nth beverage temperature Tn after recording, and carry out beverage brewing by adopting parameters in the matrixes;

when the central control processor records the specified quantity of matrixes, the central control processor counts and calculates the parameters in each matrix and establishes a correction brewing matrix group Aa (Ca, Na, La, Ra, Sa, Ja and Ta) according to the calculation result, wherein:

ca is a raw powder correction amount matrix, Ca (mca, rca, tca), wherein mca is the corrected raw powder use quality, rca is the corrected rotating speed of the first motor corresponding to the storage box loaded with the raw powder, and tca is the corrected residence time of the first motor;

na is a frozen milk correction dosage matrix and Na (mna, rna, tna), wherein mna is correction frozen milk use quality, rna is correction rotating speed of a first motor corresponding to the storage tank loaded with the frozen milk, and tna is correction residence time of the first motor;

la is a matrix of the corrected amount of the cold water, La (mla, rla, tla), wherein mla is the corrected cold water use quality, rla is the corrected rotating speed of the first motor corresponding to the storage tank loaded with the cold water, and tla is the corrected retention time of the first motor;

ra is a hot water correction dosage matrix, Ra (mra, rra, tra), where mra is the corrected hot water usage quality, rra is the corrected rotation speed of the first motor corresponding to the hot water-loaded storage tank, and tra is the corrected stay time of the first motor;

sa is a modified charging sequence matrix;

ja is a corrected stirring matrix, Ja (rja, tja), wherein rja is the corrected rotating speed of the spiral fan blades, and tja is the corrected rotating time of the spiral fan blades;

when the user selects the customized beverage from the control panel to brew, the central control processor selects each parameter in the Aa matrix group to brew the beverage.

Further, in the Aa matrix set,

when the Sa matrix is established, the central processor sequentially counts the parameter sequence from the S1 matrix to the Sn matrix, and takes the material with the highest repetition frequency in each step as the added material of the step.

Further, ria and tia can be calculated from mia for the Ia matrix by the following equations:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

Further, an initial material level matrix H0(Hc0, Hn0, Hl0 and Hr0) is further arranged in the central processor, wherein Hc0 is the initial material level of the raw material powder, Hn0 is the initial material level of the ice milk, Hl0 is the initial material level of cold water, and Hr0 is the initial material level of hot water; when a user uses the initial matrix to brew drinks, the material level detectors respectively detect the material levels Hi, i ═ c, n, l, r:

when Hi is more than or equal to Hi0, the central control processor controls the first motor to start so as to convey the raw materials into the corresponding detection box;

when Hi < Hi0, the central processor deactivates the first motor, issuing a material starvation alarm and indicating the particular type of starved material.

Further, the lower side wall of the mixing cavity is conical

Further, a protective shell is arranged on the outer surface of the second motor.

Compared with the prior art, the vending machine has the advantages that the central control processor is arranged, the initial brewing matrix group A0 is stored in the central control processor in advance, when a user uses the vending machine successively, each user-defined parameter can be recorded and counted in sequence, the central control processor can adjust each parameter in the A0 matrix group and establish a correction brewing matrix group Aa after the parameters are accumulated, and each parameter in the Aa matrix group is used, so that the vending machine can brew customized beverages specially belonging to the user, the brewed beverages meet the personal requirements of the user, and the customization range of the vending machine is enlarged.

Furthermore, a plurality of storage boxes are arranged in the vending machine, raw material powder, ice milk, cold water and hot water are stored in the corresponding storage boxes in advance, and when the raw material powder is brewed, the temperature of the beverage can be adjusted according to the proportion of the cold water and the hot water, so that the customization range of the vending machine is further enlarged.

Furthermore, the bottom of each detection box is provided with a storage box, a quality detector is arranged in each storage box, the central control processor can convey the specified amount of raw materials into the corresponding detection boxes respectively before the beverage is brewed, and the raw materials in the detection boxes are weighed to accurately ensure the accuracy of the proportioning of the raw materials, so that the brewing efficiency of the vending machine is improved.

Further, when the quality of the raw material detected by the detection item is lower than the preset value, the central control processor can extract the raw material from the storage tank to compensate, so that the brewing efficiency of the vending machine is further improved.

Further, the central processor can be used for tasting the raw materials in the storage box

The formula is used for calculating the operation parameters of the first motor so as to accurately control the compensation amount, so that the precision of the proportioning of the raw materials in the brewing process of the vending machine is further improved.

Further, each still be equipped with the material level detector in the storage box, the material level detector can detect each raw materials material level before selling the machine operation, and when the material level was less than the default, sell the chance and stop raw materials and carry and send the not enough alarm of raw materials through control panel, can prevent effectively that the raw materials from forcing to dash when not enough and steep in the drink raw materials ratio that leads to and not conform to the standard, further improved sell quick-witted dashing of dashing.

Further, when the Sa matrix is established, the central control processor sequentially counts the parameter sequence from the S1 matrix to the Sn matrix, takes the raw material with the highest repetition frequency in each step as the added raw material of the step, and completes the establishment of the Sa matrix based on big data from the recorded data, so that the taste of the user can be fitted with the greatest efficiency, and the customization range of the vending machine is further improved.

Drawings

FIG. 1 is a front sectional view of a self-learning algorithm based intelligent commodity vending machine according to the present invention;

FIG. 2 is a top sectional view of the self-learning algorithm based intelligent merchandise vending machine of the present invention;

FIG. 3 is a right sectional view of the intelligent commodity vending machine based on the self-learning algorithm.

Detailed Description

In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.

It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.

Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

Please refer to fig. 1 to fig. 3, which are a front sectional view, a top sectional view and a right sectional view of the intelligent vending machine for goods based on self-learning algorithm according to the present invention. The invention discloses a self-learning algorithm-based intelligent commodity vending machine, which comprises:

the shell 1 is equipped with cavity 2 in the shell, vertically is provided with baffle 3 in cavity 2, has seted up first logical groove 6 at 1 top of shell, first logical groove 6 with cavity 2 intercommunication has seted up second logical groove 11 at 1 bottom lateral wall of shell, second logical groove 11 with cavity 2 intercommunication.

The storage box group is arranged in the cavity 2 and positioned on one side of the partition plate 3 close to the second through groove 11 and used for storing raw materials; the storage box group comprises a plurality of horizontally arranged storage boxes 4; for a single tank 4, including a feed inlet 5 opening at the top of the tank 4; a first through hole 12 formed at the bottom 4 of the storage box; a rectangular groove 13 formed in the inner side wall of the bottom of the storage box 4, wherein the rectangular groove 13 is overlapped with the first through hole 12; a movable plate 14 is arranged in the rectangular groove 13, and a second through hole 15 is formed in the end surface of the movable plate 14; a level detector (not shown) is further provided on the inner side wall of each of the storage tanks 4 to detect the level of the raw material in the storage tank 4 to determine the pre-stored amount of each raw material.

The detection box group is arranged below the storage box group and used for extracting raw materials with specified mass from the storage box group; the inspection box set comprises a plurality of inspection boxes 20 which are horizontally arranged, the number of the inspection boxes 20 is the same as that of the storage boxes 4, and the inspection boxes 20 are respectively connected with the storage boxes 4 at corresponding positions. For a single detection box 20, an opening is included which opens at the top of the detection box 20 and communicates with the corresponding storage box 4; a mass sensor (not shown) provided on an upper surface of a lower sidewall of the storage case 20; a conduit 22 extending through a lower side wall of the detection chamber 20; a first electromagnetic valve 7 is arranged at the output end of the guide pipe 22.

The first motor set is arranged on one side, far away from the second through groove 11, of the partition board; the first motor group comprises a plurality of first motors 16 which are horizontally arranged, the number of the first motors 16 is the same as that of the storage boxes 4, and the first motors 16 are respectively arranged between the corresponding storage boxes 4 and the detection boxes 20; for a single first motor 16, the output shaft of the first motor 16 penetrates through the partition and is located in the rectangular groove 13, the side wall of the output shaft of the first motor 16 is provided with threads and is in threaded connection with the movable plate 14, and the movable plate 14 is controlled to move horizontally in the rectangular groove 13 by rotating the output shaft.

The mixing cavity 8 is arranged on one side of the partition plate 3 close to the second passage 11 and is positioned below the detection box group and used for mixing raw materials to brew drinks; a spiral fan blade 19 is arranged in the mixing cavity, and two ends of the spiral fan blade 19 are respectively and rotatably connected with two side walls of the mixing cavity 8; a temperature sensor (not shown in the figure) is arranged inside the mixing cavity 8 and used for detecting the temperature of the brewed beverage; a discharge pipe 9 is arranged at the bottom of the mixing cavity 8 and used for discharging drinks; a second electromagnetic valve 10 is arranged at the output end of the discharge pipe 9.

And the second motor 18 is arranged on the outer wall of the shell 1, and an output shaft of the second motor 18 penetrates through the shell 1 and is connected with the spiral fan blades 19 so as to drive the spiral fan blades 19 to rotate.

The control panel (not shown in the figure) is arranged on the side wall of the shell 1, a central control processor (not shown in the figure) is arranged in the control panel and is respectively connected with the material level sensors, the quality sensors, the first electromagnetic valves 7, the first motors 16, the temperature sensors, the second electromagnetic valves 10 and the second motors 18, and the central control processor is used for controlling the first motors 16 to control the output quantity of the raw materials according to a preset formula in the control panel, feeding back the output quantity of the raw materials through the quality sensors, controlling the first electromagnetic valves 7 to determine the discharging sequence of the raw materials, controlling the second motors 18 to adjust the stirring speed and the stirring time when the beverage is brewed, and adjusting the brewed beverage to a specified temperature and opening the second electromagnetic valves 10 to output the beverage.

The central control processor is provided with an initial brewing matrix group A0, and in the operation process of the vending machine, the central control processor records and counts parameters in each brewing process, and finely adjusts each parameter in the initial brewing matrix group A0 according to the statistical result to establish a brewing matrix group aiming at the customized beverage of an individual.

Specifically, a timer (not shown) is further disposed in the control panel for recording the staying time of each of the first motors and the rotating time of the second motor.

Referring to fig. 1 to 3, the storage boxes 4 are respectively used for storing raw material powder, ice milk at 5 ℃, cold water at 5 ℃ and hot water at 98 ℃, and the central processor is provided with an initial brewing matrix group a0(C0, N0, L0, R0, S0, J0 and T0), wherein C0 is an initial raw material powder dosage matrix, N0 is an initial ice milk dosage matrix, L0 is an initial cold water dosage matrix, R0 is an initial hot water dosage matrix, S0 is an initial charging sequence matrix, J0 is an initial mixing matrix, and T0 is an initial beverage temperature.

For raw powder initial dosage matrices C0, C0(mc0, rc0, tc0), where mc0 is the initial raw powder usage quality, rc0 is the initial rotation speed of the first motor corresponding to the storage bin loaded with raw powder, and tc0 is the initial residence time of the first motor.

For the initial usage matrix N0, N0(mn0, rn0, tn0) of the ice milk, where mn0 is the initial ice milk usage mass, rn0 is the initial rotation speed of the first motor corresponding to the storage tank containing the ice milk, and tn0 is the initial dwell time of the first motor.

For the cold water initial usage matrix L0, L0(ml0, rl0, tl0), where ml0 is the initial cold water usage mass, rl0 is the initial rotation speed of the first motor corresponding to the cold water-loaded storage tank, and tl0 is the initial residence time of the first motor.

For the initial hot water usage matrix R0, R0(mr0, rr0, tr0), where mr0 is the initial hot water usage mass, rr0 is the initial rotational speed of the first motor corresponding to the hot water-laden storage tank, and tr0 is the initial dwell time of the first motor.

For the initial charging sequence matrix S0, S0(sc, sr, sl, sn), where sc is the raw powder charging step, sr is the hot water charging step, sl is the cold water charging step, and sn is the ice milk charging step.

For initial mixing matrices J0, J0(rj0, tj0), where rj0 is the initial speed of rotation of the helical blades and tj0 is the initial rotation time of the helical blades.

When the vending machine selects an initial brewing matrix group A0 to brew drinks, the central control processor sequentially selects a C0 matrix, an N0 matrix, an L0 matrix and an R0 matrix, and the rotating speed and the residence time of the corresponding first motor are adjusted to respectively output the specified amounts of raw material powder, ice milk, cold water and hot water from the specified storage box 4 to the corresponding detection box.

When the central control processor conveys single materials, the central control processor selects a corresponding matrix I0(mi0, ri0 and ti0), wherein I is C, N, L, R, I is C, N, L and R, the central control processor controls a first motor 16 corresponding to the storage box 4 loaded with the raw materials to rotate forwards at the ri0 rotating speed, so that the movable plate 14 moves in the rectangular groove 13 to enable the second through hole 15 to be concentric with the first through hole 12, the raw materials enter the detection box 20 through the first through hole 12, the timer starts to record the residence time ti of the first motor 16, and when ti is ti0, the first motor 16 starts and rotates reversely at the ri0 rotating speed to enable the movable plate 14 to close the first through hole 12;

after the feeding is finished, the quality of the raw materials mi is detected by a quality detector in the corresponding detection box 20:

when mi is less than mi0, the central control processor calculates a compensation rotating speed rib and a compensation staying time tib according to the difference between mi0 and mi;

when mi is mi0, the central processor determines that the material delivery is complete.

When the central control processor determines that the transportation of each raw material is finished, the central control processor sequentially opens the corresponding first electromagnetic valves 7 according to the parameter arrangement sequence in the initial feeding sequence matrix S0(sc, sr, sl, sn) to sequentially output the raw material powder, the hot water, the cold water and the ice milk to the mixing cavity 8, when the transportation is finished, the central control processor controls the second motor 18 to start and enables the spiral fan blade 19 to rotate at the rj0 rotation speed, when the spiral fan blade 19 rotates, the timer starts to record the spiral fan blade rotation time tj, and the temperature detector detects the beverage temperature T:

when T is T0 and tj is less than tj0, the central control processor controls the second motor 18 to stop rotating and controls the second electromagnetic valve 10 to be opened to output the beverage;

when tj is tj0 and T > T0, the central processor controls the second motor 18 to continue to rotate until T is T0, at which time the central processor controls the second motor 18 to stop rotating and controls the second solenoid valve 10 to open to output the beverage.

Specifically, the central processor uses the following equations to calculate the compensated rotational speed rib and the compensated dwell time tib from the difference between mi0 and mi:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

Referring to fig. 1 to 3, the lower sidewall of the mixing chamber 8 of the present invention is tapered to improve the efficiency of the mixing chamber 8 for outputting the beverage. The outer surface of the second motor 18 of the present invention is provided with a protective casing 21 for protecting the second motor 18.

Referring to fig. 1 to 3, the control panel is a touch panel, and a user can define the amount of powdered raw materials, the amount of ice milk, the amount of cold water, the amount of hot water, the sequence of adding raw materials, the stirring speed, the stirring time and the temperature of the beverage when the beverage is brewed by the user through the control panel. When a user carries out self-defined beverage brewing, the central control processor records the raw material powder amount mc1, the ice milk amount mn1, the cold water amount ml1, the hot water amount mr1, the raw material adding sequence, the first stirring rotating speed rj1 and the first stirring time tj1, and establishes a raw material powder first amount matrix C1(mc1, rc1, tc1), an ice milk first amount matrix N1(mn1, rn1, tn1), a cold water first amount matrix L1(ml1, rl1, tl1), a hot water first amount matrix R1(mr1, rr1, tr1), a first adding sequence matrix S1, a first stirring matrix J1(rj1, tj1) and a first beverage temperature T1 in sequence; after the establishment is finished, the central control processor adopts the parameters in the matrix to brew the beverage.

When the user carries out self-defined beverage brewing for the second time, the central control processor can establish a raw material powder second quantity matrix C2, a chilled milk second quantity matrix N2, a cold water second quantity matrix L2, a hot water second quantity matrix R2, a second feeding sequence matrix S2, a second stirring matrix J2 and a second beverage temperature T2 in sequence after recording, and the parameters in the matrixes are adopted for brewing the beverage.

When a user carries out self-defined beverage brewing for the nth time, the central control processor can sequentially establish an nth dosage matrix Cn of raw material powder, an nth dosage matrix Nn of ice milk, an nth dosage matrix Ln of cold water, an nth dosage matrix Rn of hot water, an nth feeding sequence matrix Sn, an nth stirring matrix Jn and an nth beverage temperature Tn after recording, and carry out beverage brewing by adopting parameters in the matrixes.

When the central control processor records the specified quantity of matrixes, the central control processor counts and calculates the parameters in each matrix and establishes a correction brewing matrix group Aa (Ca, Na, La, Ra, Sa, Ja and Ta) according to the calculation result, wherein:

ca is a raw powder correction amount matrix, Ca (mca, rca, tca), where mca is a corrected raw powder use quality, rca is a corrected rotation speed of the first motor corresponding to the storage tank in which the raw powder is loaded, and tca is a corrected retention time of the first motor.

Na is a frozen milk correction dosage matrix, Na (mna, rna, tna), wherein mna is the corrected frozen milk use quality, rna is the corrected rotating speed of the first motor corresponding to the storage tank loaded with the frozen milk, and tna is the corrected residence time of the first motor.

La is a matrix of the corrected amount of cold water, La (mla, rla, tla), where mla is the corrected cold water usage mass, rla is the corrected rotation speed of the first motor corresponding to the storage tank loaded with cold water, and tla is the corrected residence time of the first motor.

Ra is a hot water correction dose matrix, Ra (mra, rra, tra), where mra is the corrected hot water usage mass, rra is the corrected rotational speed of the first motor corresponding to the hot water-laden storage tank, and tra is the corrected dwell time of the first motor.

Sa is a modified charging sequence matrix.

Ja is a corrected stirring matrix, Ja (rja, tja), wherein rja is the corrected rotation speed of the spiral fan blades, and tja is the corrected rotation time of the spiral fan blades.

When the user selects the customized beverage from the control panel to brew, the central control processor selects each parameter in the Aa matrix group to brew the beverage.

Specifically, in the Aa matrix set,

when the Sa matrix is established, the central processor sequentially counts the parameter sequence from the S1 matrix to the Sn matrix, and takes the material with the highest repetition frequency in each step as the added material of the step.

Specifically, ria and tia can be calculated from mia for the Ia matrix by the following equations:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

Specifically, the central processor is also provided with an initial material level matrix H0(Hc0, Hn0, Hl0 and Hr0), wherein Hc0 is the initial material level of the raw material powder, Hn0 is the initial material level of the ice milk, Hl0 is the initial material level of cold water, and Hr0 is the initial material level of hot water; when a user uses the initial matrix to brew drinks, the material level detectors respectively detect the material levels Hi, i ═ c, n, l, r:

when Hi is more than or equal to Hi0, the central control processor controls the first motor to start so as to convey the raw materials into the corresponding detection box;

when Hi < Hi0, the central processor deactivates the first motor, issuing a material starvation alarm and indicating the particular type of starved material.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The utility model provides a commodity intelligence vending machine based on self-learning algorithm which characterized in that includes:

the device comprises a shell, wherein a cavity is arranged in the shell, a partition plate is vertically arranged in the cavity, a first through groove is formed in the top of the shell and communicated with the cavity, a second through groove is formed in the side wall of the bottom of the shell and communicated with the cavity;

the storage box group is arranged in the cavity and positioned on one side of the partition board close to the second through groove and used for storing raw materials; the storage box group comprises a plurality of horizontally arranged storage boxes; for a single storage box, a feed inlet is arranged at the top of the storage box; the first through hole is formed in the bottom of the storage box; the rectangular groove is formed in the inner side wall of the bottom of the storage box and is overlapped with the first through hole; a movable plate is arranged in the rectangular groove, and a second through hole is formed in the end face of the movable plate; a material level detector is arranged on the side wall in each storage box and used for detecting the material level of the raw materials in the storage box so as to judge the pre-storage amount of each raw material;

the detection box group is arranged below the storage box group and used for extracting raw materials with specified mass from the storage box group; the detection box group comprises a plurality of detection boxes which are horizontally arranged, the number of the detection boxes is the same as that of the storage boxes, and the detection boxes are respectively connected with the storage boxes at corresponding positions; for a single detection box, the detection box comprises an opening which is arranged at the top of the detection box and is communicated with the corresponding storage box; a mass sensor provided on an upper surface of a lower sidewall of the storage tank; a conduit extending through a lower sidewall of the detection chamber; the output end of the guide pipe is provided with a first electromagnetic valve;

the first motor set is arranged on one side, far away from the second through groove, of the partition board; the first motor group comprises a plurality of first motors which are horizontally arranged, the number of the first motors is the same as that of the storage boxes, and the first motors are respectively arranged between the corresponding storage boxes and the corresponding detection boxes; for a single first motor, an output shaft of the first motor penetrates through the partition plate and is positioned in the rectangular groove, threads are arranged on the side wall of the output shaft of the first motor and are in threaded connection with the movable plate, and the movable plate is controlled to horizontally move in the rectangular groove by rotating the output shaft;

the mixing cavity is arranged on one side of the partition board close to the second through groove and is positioned below the detection box group, and is used for mixing raw materials to brew drinks; a spiral fan blade is arranged in the mixing cavity, and two ends of the spiral fan blade are respectively and rotatably connected with two side walls of the mixing cavity; a temperature sensor is also arranged in the mixing cavity and used for detecting the temperature of the brewed beverage; a discharge pipe is arranged at the bottom of the mixing cavity and used for discharging the beverage; the output end of the discharge pipe is provided with a second electromagnetic valve;

the output shaft of the second motor penetrates through the shell and is connected with the spiral fan blades so as to drive the spiral fan blades to rotate;

the control panel is arranged on the side wall of the shell, a central control processor is arranged in the control panel, and the central control processor is respectively connected with the material level sensors, the quality sensors, the first electromagnetic valves, the first motors, the temperature sensors, the second electromagnetic valves and the second motors, and is used for controlling the first motors to control the output quantity of each raw material according to a preset formula in the control panel, feeding back the output quantity of each raw material through the quality sensors, controlling the first electromagnetic valves to determine the discharging sequence of each raw material, controlling the second motors to adjust the stirring speed and the stirring time when the beverage is brewed, adjusting the brewed beverage to a specified temperature, and opening the second electromagnetic valves to output the beverage;

the central control processor is provided with an initial brewing matrix group A0, and in the operation process of the vending machine, the central control processor records and counts parameters in each brewing process, and finely adjusts each parameter in the initial brewing matrix group A0 according to the statistical result to establish a brewing matrix group aiming at the customized beverage of an individual.

2. The self-learning algorithm based intelligent commodity vending machine according to claim 1, wherein a timer is further provided in the control panel for recording the staying time of each first motor and the rotating time of the second motor.

3. The self-learning algorithm based smart merchandiser of claim 2, wherein each of the storage boxes is used to store raw meal, chilled milk at 5 ℃, cold water at 5 ℃ and hot water at 98 ℃, and the set of initial brewing matrices a0(C0, N0, L0, R0, S0, J0, T0) is provided in the central processor, wherein C0 is a raw meal initial dose matrix, N0 is a chilled milk initial dose matrix, L0 is a cold water initial dose matrix, R0 is a hot water initial dose matrix, S0 is an initial feeding sequence matrix, J0 is an initial blending matrix, T0 is an initial beverage temperature;

an initial raw powder use amount matrix C0, C0(mc0, rc0, tc0), wherein mc0 is the initial raw powder use quality, rc0 is the initial rotation speed of the first motor corresponding to the raw powder-loading storage bin, and tc0 is the initial residence time of the first motor;

for the initial usage matrix of the ice milk N0, N0(mn0, rn0, tn0), where mn0 is the initial ice milk usage quality, rn0 is the initial rotation speed of the first motor corresponding to the storage tank loaded with ice milk, and tn0 is the initial stay time of the first motor;

for the cold water initial usage matrix L0, L0(ml0, rl0, tl0), where ml0 is the initial cold water usage mass, rl0 is the initial rotation speed of the first motor corresponding to the cold water-loaded storage tank, and tl0 is the initial residence time of the first motor;

for the hot water initial usage matrix R0, R0(mr0, rr0, tr0), where mr0 is the initial hot water usage mass, rr0 is the initial rotation speed of the first motor corresponding to the hot water-laden storage tank, and tr0 is the initial dwell time of the first motor;

for the initial charging sequence matrix S0, S0(sc, sr, sl, sn), where sc is the raw powder charging step, sr is the hot water charging step, sl is the cold water charging step, and sn is the ice milk charging step;

for initial mixing matrices J0, J0(rj0, tj0), where rj0 is the initial rotation speed of the helical blades and tj0 is the initial rotation time of the helical blades;

when the vending machine selects the initial brewing matrix group to brew drinks, the central control processor sequentially selects a C0 matrix, an N0 matrix, an L0 matrix and an R0 matrix, and the rotating speed and the residence time of the corresponding first motor are adjusted to respectively output the specified amounts of raw material powder, ice milk, cold water and hot water from the specified storage box to the corresponding detection box;

when the central control processor conveys single materials, the central control processor selects a corresponding matrix I0(mi0, ri0 and ti0), wherein I is C, N, L, R, I is C, N, L and R, the central control processor controls a first motor corresponding to a storage box loaded with raw materials to rotate positively at the ri0 rotating speed so as to enable a second through hole and the first through hole to be arranged concentrically, the raw materials enter a detection box through the first through hole at the moment, a timer starts to record the residence time ti of the first motor, and when ti is ti0, the first motor starts and rotates reversely at the ri0 rotating speed so as to close the first through hole;

after the feeding is finished, the quality of the raw materials mi is detected by a quality detector in the corresponding detection box:

when mi is less than mi0, the central control processor calculates a compensation rotating speed rib and a compensation staying time tib according to the difference between mi0 and mi;

when mi is 0, the central control processor judges that the raw material is completely conveyed;

when the central control processor judges that the raw materials are conveyed, the central control processor sequentially opens corresponding first electromagnetic valves according to a parameter arrangement sequence in an initial feeding sequence matrix S0(sc, sr, sl, sn) to sequentially output raw material powder, hot water, cold water and ice milk to the mixing cavity, when the conveying is finished, the central control processor controls a second motor to be started and enables the spiral fan blades to rotate at a rotational speed of rj0, when the spiral fan blades rotate, a timer starts to record the rotation time tj of the spiral fan blades, and a temperature detector detects the temperature T of the beverage:

when T is T0 and tj is less than tj0, the central control processor controls the second motor to stop rotating and controls the second electromagnetic valve to be opened to output the beverage;

when tj is tj0 and T > T0, the central processor controls the second motor to continue to rotate until T is T0, at which time the central processor controls the second motor to stop rotating and controls the second solenoid valve to open to output the beverage.

4. A self-learning algorithm based smart merchandiser as recited in claim 3 wherein said central processor employs the following formulas to calculate the compensated rotational speed rib and the compensated dwell time tib from the difference between mi0 and mi:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

5. The self-learning algorithm based intelligent commodity vending machine according to claim 4, wherein the control panel is a touch panel, and a user can customize the raw material powder amount, the ice milk amount, the cold water amount, the hot water amount, the raw material adding sequence, the stirring speed, the stirring time and the beverage temperature when the beverage is brewed through the control panel; when a user carries out self-defined beverage brewing, the central control processor records the raw material powder amount mc1, the ice milk amount mn1, the cold water amount ml1, the hot water amount mr1, the raw material adding sequence, the first stirring rotating speed rj1 and the first stirring time tj1, and establishes a raw material powder first amount matrix C1(mc1, rc1, tc1), an ice milk first amount matrix N1(mn1, rn1, tn1), a cold water first amount matrix L1(ml1, rl1, tl1), a hot water first amount matrix R1(mr1, rr1, tr1), a first adding sequence matrix S1, a first stirring matrix J1(rj1, tj1) and a first beverage temperature T1 in sequence; after the establishment is finished, the central control processor adopts the parameters in the matrix to brew the beverage;

when a user carries out self-defined beverage brewing for the second time, the central control processor can sequentially establish a raw material powder second quantity matrix C2, a chilled milk second quantity matrix N2, a cold water second quantity matrix L2, a hot water second quantity matrix R2, a second feeding sequence matrix S2, a second stirring matrix J2 and a second beverage temperature T2 after recording, and carry out beverage brewing by adopting parameters in the matrixes;

when a user carries out self-defined beverage brewing for the nth time, the central control processor can sequentially establish an nth dosage matrix Cn of raw material powder, an nth dosage matrix Nn of ice milk, an nth dosage matrix Ln of cold water, an nth dosage matrix Rn of hot water, an nth feeding sequence matrix Sn, an nth stirring matrix Jn and an nth beverage temperature Tn after recording, and carry out beverage brewing by adopting parameters in the matrixes;

when the central control processor records the specified quantity of matrixes, the central control processor counts and calculates the parameters in each matrix and establishes a correction brewing matrix group Aa (Ca, Na, La, Ra, Sa, Ja and Ta) according to the calculation result, wherein:

ca is a raw powder correction amount matrix, Ca (mca, rca, tca), wherein mca is the corrected raw powder use quality, rca is the corrected rotating speed of the first motor corresponding to the storage box loaded with the raw powder, and tca is the corrected residence time of the first motor;

na is a frozen milk correction dosage matrix and Na (mna, rna, tna), wherein mna is correction frozen milk use quality, rna is correction rotating speed of a first motor corresponding to the storage tank loaded with the frozen milk, and tna is correction residence time of the first motor;

la is a matrix of the corrected amount of the cold water, La (mla, rla, tla), wherein mla is the corrected cold water use quality, rla is the corrected rotating speed of the first motor corresponding to the storage tank loaded with the cold water, and tla is the corrected retention time of the first motor;

ra is a hot water correction dosage matrix, Ra (mra, rra, tra), where mra is the corrected hot water usage quality, rra is the corrected rotation speed of the first motor corresponding to the hot water-loaded storage tank, and tra is the corrected stay time of the first motor;

sa is a modified charging sequence matrix;

ja is a corrected stirring matrix, Ja (rja, tja), wherein rja is the corrected rotating speed of the spiral fan blades, and tja is the corrected rotating time of the spiral fan blades;

when the user selects the customized beverage from the control panel to brew, the central control processor selects each parameter in the Aa matrix group to brew the beverage.

6. The method of claim 5The intelligent commodity vending machine based on the self-learning algorithm is characterized in that in the Aa matrix group,

when the Sa matrix is established, the central processor sequentially counts the parameter sequence from the S1 matrix to the Sn matrix, and takes the material with the highest repetition frequency in each step as the added material of the step.

7. A self-learning algorithm based smart merchandiser as recited in claim 6 wherein ria and tia can be calculated from mia for the Ia matrix by the following equations:

g is the gravity acceleration, rho i is the density of the corresponding raw material, R is the radius of the second through hole, and N is the corresponding screw pitch of the first motor output shaft thread.

8. The self-learning algorithm based smart merchandiser of claim 7, wherein an initial level matrix H0(Hc0, Hn0, Hl0, Hr0) is further provided in the central processor, wherein Hc0 is the initial level of raw material powder, Hn0 is the initial level of ice milk, Hl0 is the initial level of cold water, and Hr0 is the initial level of hot water; when a user uses the initial matrix to brew drinks, the material level detectors respectively detect the material levels Hi, i ═ c, n, l, r:

when Hi is more than or equal to Hi0, the central control processor controls the first motor to start so as to convey the raw materials into the corresponding detection box;

when Hi < Hi0, the central processor deactivates the first motor, issuing a material starvation alarm and indicating the particular type of starved material.

9. The self-learning algorithm based smart merchandiser of claim 1, wherein the lower side wall of the mixing chamber is tapered.

10. The self-learning algorithm based smart merchandiser of claim 1, wherein a protective shell is disposed on an outer surface of the second motor.

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