CN107886272A - A kind of food management method - Google Patents

A kind of food management method Download PDF

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Publication number
CN107886272A
CN107886272A CN201711079968.8A CN201711079968A CN107886272A CN 107886272 A CN107886272 A CN 107886272A CN 201711079968 A CN201711079968 A CN 201711079968A CN 107886272 A CN107886272 A CN 107886272A
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mrow
food materials
msub
numerical value
vegetable
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CN107886272B (en
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迟海鹏
张怀东
张京军
龚长华
邢希学
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Beijing Dynaflow Experiment Technology Co Ltd
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Beijing Dynaflow Experiment Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

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Abstract

The invention discloses a kind of food management method.The food management method, including:Obtain the food materials consumption numerical value in historical data;Food materials consumption numerical value in the historical data, analyze the variation tendency of the food materials consumption numerical value in future;According to the variation tendency of following food materials consumption numerical value, prompting is sent to the client in dining room, the prompting includes the variation tendency.The present invention improves the extensive management to food materials so that a certain food materials deposit, which will not both occur, will excessively occur easy situation, and then cause a part of food materials to exceed the shelf-life;Also a certain food materials will not occur situation in short supply occurs, and then lead to not the dietary requirements for meeting customer.

Description

A kind of food management method
Technical field
The present invention relates to intelligent use technical field, more particularly to a kind of food management method.
Background technology
Food and beverage enterprise usually because of the extensive management in food materials management aspect, leads to not the accurate reality for managing food materials When stock amount.This will cause a certain food materials storing excess for customer demand amount, cause a part of food materials to exceed Shelf-life;Another food materials store very few for customer demand amount, lead to not the diet need for fully meeting customer Ask;A kind of price fluctuation of food materials and the duration of shelf-life are not taken into full account, causes to occur to purchase being averaged for a certain food materials It is on the high side.How adequate solution above mentioned problem, just become industry problem urgently to be resolved hurrily.
The content of the invention
The present invention provides a kind of food management method, to improve the extensive management to food materials so that will not both occur Easy situation will excessively occur for a certain food materials deposit, and then cause a part of food materials to exceed the shelf-life;Also not A certain food materials can occur situation in short supply occurs, and then lead to not the dietary requirements for meeting customer.
First aspect according to embodiments of the present invention, there is provided a kind of food management method, including:
Obtain the food materials consumption numerical value in historical data;
Food materials consumption numerical value in the historical data, analyze the variation tendency of the food materials consumption numerical value in future;
According to the food materials of the variation tendency, in advance deposit respective amount of following food materials consumption numerical value.
In one embodiment, in addition to:
Food materials in existing all orders consume numerical value to correct the change of following food materials consumption numerical value Trend.
In one embodiment, the variation tendency of the food materials consumption numerical value for analyzing future, including:
The first weighted value is assigned to recent historical data;
Data of the same period in historical data are assigned with the second weighted value, the same time include the approximate day moon and/or Identical red-letter day, the second weighted value are more than the first weighted value;
According to first weighted value and second weighted value, following food materials consumption numerical value is further corrected Variation tendency.
In one embodiment, in addition to:
The fluctuating range of the variation tendency of following food materials consumption numerical value is corrected according to the shelf-life of food materials.
In one embodiment, in addition to:
The change of following food materials consumption numerical value is corrected according to the change of the real-time supply of the various food materials The higher limit of trend.
In one embodiment, in addition to:
Transfer the actual provision amount of any vegetable of nearest 15 days;
According to the actual provision amount of any vegetable of described nearest 15 days, the prediction of following 3 days any vegetable of prediction needs The amount of asking;
The consumption of the various food materials included according to the predicted required amount of any vegetable of real-time following 3 days and any vegetable Amount, calculate the predicted required amount of the various food materials in following 3 days;
The formula of the predicted required amount of various food materials in described following 3 days is as follows:
Wi={ xi1、xi2、、、xim}
Y=X-Xt
Wherein, the species one of vegetable shares n kinds, and the species one of food materials shares m kinds, and X will be various food materials within 3 days futures Predicted required amount, WiThe amount of the various food materials included for i-th kind of vegetable, T(i1)For forecast demand of i-th kind of vegetable at first day Amount, T(i2)It is i-th kind of vegetable in the predicted required amount of second day, T(i3)It is i-th kind of vegetable in the predicted required amount of the 3rd day, Tij For actual provision amount of i-th kind of vegetable in jth day before, XtFor the quantity in stock of various food materials, Y is pre- in various food materials three days Survey shortage amount.
In one embodiment, the above method may also include:
Pressure sensor is set in the lower section of food materials frame, and pressure sensor is used in preset time period measurement food materials in real time The gross weight of frame and inframe food materials;
Camera is set around food materials frame, and camera is used for the picture for shooting food materials frame;
In preset time period in real time obtain pressure sensor measured by gross weight, and real-time judge measure it is total Whether weight changes;
When the gross weight for judging to measure changes, record change time of origin;
By the food materials frame picture data in the preset duration before and after change time of origin, target terminal is sent to;The mesh Mark terminal includes the client in the dining room.
In one embodiment, the target terminal also includes the refrigerator for being provided with display, as the display by described in Food materials frame picture data is shown.
In one embodiment, the on off state of the intelligent door lock of door is obtained in real time;
When the state of intelligent door lock is locks, the current picture that each camera in dining room photographs is obtained, judges to work as Whether mobile people is had in preceding picture;
As the people not moved in current picture, pressure sensor current time being defined as in preset time period is opened Beginning time of measuring, control pressure sensor start.
In one embodiment, methods described also includes:
Loudspeaker is set around food materials frame;
When the gross weight for judging to measure changes, controlling loudspeaker sends preset sound.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write Specifically noted structure is realized and obtained in book, claims and accompanying drawing.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, the reality with the present invention Apply example to be used to explain the present invention together, be not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of food management method shown in an exemplary embodiment of the invention;
Fig. 2 is a kind of flow chart of food management method shown in another exemplary embodiment of the present invention;
Fig. 3 is a kind of step S12 of food management method shown in an exemplary embodiment of the invention flow chart;
Fig. 4 is a kind of flow chart of food management method shown in further example embodiment of the present invention;
Fig. 5 is a kind of flow chart of food management method shown in the another exemplary embodiment of the present invention;
Fig. 6 is a kind of flow chart of food management method shown in the another exemplary embodiment of the present invention.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that described herein preferred real Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Fig. 1 is a kind of food management method flow chart according to an exemplary embodiment, as shown in figure 1, the food being somebody's turn to do Material management method, comprises the following steps S11-S14:
In step s 11, the food materials consumption numerical value in historical data is obtained.
Historical data can be the historical data in all dining rooms or the historical data in this dining room in same city.
In step s 12, the food materials consumption numerical value in the historical data, the food materials consumption numerical value in future is analyzed Variation tendency.
In step s 13, the variation tendency of numerical value is consumed according to following food materials, sends and carries to the client in dining room Show, the prompting includes the variation tendency.
In one embodiment, food and beverage enterprise leads to not essence usually because of the extensive management in food materials management aspect The real-time stock amount of true management food materials.This will cause a certain food materials storing excess for customer demand amount, lead A part of food materials are caused to exceed the shelf-life;Another food materials stored for customer demand amount it is very few, lead to not fully Meet the dietary requirements of customer;A kind of price fluctuation of food materials and the duration of shelf-life are not taken into full account, causes to purchase The average price of a certain food materials is higher.Technical scheme in the present embodiment can adequate solution above mentioned problem.
Obtain the food materials consumption numerical value in historical data.Further, the food materials consumption numerical value in historical data is to come from In the intellectual analysis result of big data.The intellectual analysis result of the big data provides stronger decision-making for follow-up food materials management Power, see clearly magnanimity, high growth rate and the diversified information assets for finding power and process optimization ability.
Food materials consumption numerical value in historical data, analyze the variation tendency of the food materials consumption numerical value in future.Enter one Step, larger weighted value is assigned to recent historical data, the weighted value is the first weighted value.To the same time in historical data Data assign larger weighted value, the same time includes the approximate day moon and/or identical red-letter day, and the weighted value is second to weigh Weight values.According to first weighted value and second weighted value, the change for further correcting following food materials consumption numerical value becomes Gesture.
According to the food materials of the variation tendency, in advance deposit respective amount of following food materials consumption numerical value.In addition, if obtaining The special boisterous information in following a period of time, such as the weather such as long-time snowstorm, heavy rain are got, future will be improved Food materials in advance storage level.
Technical scheme in the present embodiment can improve the extensive management to food materials so that a certain food materials will not both occur Easy situation will excessively occur for deposit, and then cause a part of food materials to exceed the shelf-life;Also will not occur a certain Situation in short supply occurs for kind food materials, and then leads to not the dietary requirements for meeting customer.
In one embodiment, as shown in Fig. 2 also comprising the following steps S21:
In the step s 21, the food materials consumption numerical value in existing all orders consumes to correct following food materials The variation tendency of numerical value.
In one embodiment, the vegetable in existing all orders is obtained, the vegetable in all orders is come can Calculate the food materials consumption numerical value in all orders.But also it can accurately calculate the food materials consumption of every day in all orders Numerical value, the food materials so as to accurately correct future consume the variation tendency of numerical value.For example, food of the Chinese cabbage in following three days Chinese cabbage Material consumption numerical value is 30kg, 40kg, 50kg.The food materials that existing all orders are got in following three days Chinese cabbage consume numerical value For 30kg, 50kg, 10kg.Can is shown in that the food materials consumption numerical value of following first day and second day Chinese cabbage improves, to keep away Exempt from the dietary requirements that can not meet other clients.
In one embodiment, as shown in figure 3, step S12 comprises the following steps S31-S33:
In step S31, the first weighted value is assigned to recent historical data;
In step s 32, the second weighted value is assigned to data of the same period in historical data, the same time includes approximation The day moon and/or identical red-letter day;
In step S33, according to first weighted value and second weighted value, further correct described following Food materials consume the variation tendency of numerical value.
In one embodiment, due to the frequent adjustment developed rapidly with the management tactics in dining room of economy, historical data In recent historical data numerical value meaning and effect be significantly greater than non-recent historical data numerical value, therefore to being gone through to recent History data assign larger weighted value, and the weighted value is the first weighted value.For example, assign 60% to the historical data in past 1 year Weighted value, the historical data in past 2 years to 3 years is assigned 30% weighted value, to historical data more than past three year Assign 10% weighted value.
The phase includes while in historical data, during being all equally the Spring Festival, 11 length during the vacation with during the Dragon Boat Festival etc., Also the 3rd Wednesday in first Saturday including August, December etc..Data of the same period in historical data are assigned with the Two weighted values, the same time include the approximate day moon and/or identical red-letter day.For example, for number of the same period in historical data According to the weighted value for assigning 90%, 10% weighted value is assigned for the data of non-concurrent phase in historical data.
According to first weighted value and second weighted value, the change of following food materials consumption numerical value is further corrected Trend, the food materials that can be greatly lifted for future consume the prediction accuracy of the variation tendency of numerical value, so as to improve dining room Operator Consumer's Experience.
In one embodiment, as shown in figure 4, also comprising the following steps S41:
In step S41, the variation tendency of following food materials consumption numerical value is corrected according to the shelf-life of food materials Fluctuating range.
In one embodiment, the variation tendency of following food materials consumption numerical value is an estimate, therefore sets the estimation The fluctuating range section of value for the operator in dining room carry out reference can be lifted with the food materials of current demand consumption numerical value matching Degree.In view of the shelf-life of different food materials is different, less fluctuating range is set for shelf-life shorter food materials, for guaranteeing the quality Phase longer food materials set larger fluctuating range, can improve the accuracy rate of the variation tendency of following food materials consumption numerical value. For example, the shelf-life of pumpkin is longer, it is 30% to set its fluctuating range section, it is contemplated that food materials consumption numerical value be 50kg if, Its fluctuating range section is (50kg, 65kg);The shelf-life of fresh meat is shorter, and it is 10% to set its fluctuating range section, it is contemplated that If food materials consumption numerical value is 100kg, its fluctuating range section is (100kg, 110kg).
In one embodiment, as shown in figure 5, also comprising the following steps S51:
In step s 51, disappeared according to the change of the real-time supply of the various food materials to correct following food materials Consume the higher limit of the variation tendency of numerical value.
In one embodiment, when the real-time supply substantial increase of food materials, purchasing the cost of the food materials reduces, therefore carries The higher limit of the variation tendency of the high following food materials consumption numerical value, can obtain quality preferably food materials with relatively low cost.Together Reason, when the real-time supply degradation of food materials, the cost for purchasing the food materials increases, therefore reduces following food materials consumption number The higher limit of the variation tendency of value, because larger second-rate food materials can may be obtained by higher cost.
In one embodiment, as shown in fig. 6, also comprising the following steps S61-S63:
In step S61, the actual provision amount of any vegetable of nearest 15 days is transferred;
In step S62, according to the actual provision amount of any vegetable of described nearest 15 days, prediction is following 3 days to be somebody's turn to do The predicted required amount of any vegetable;
In step S63, included according to the predicted required amount of any vegetable of real-time following 3 days and any vegetable each The consumption of kind food materials, calculate the predicted required amount of the various food materials in following 3 days;
The formula of the predicted required amount of various food materials in described following 3 days is as follows:
Wi={ xi1、xi2、、、xim}
Y=X-Xt
In one embodiment, the species one of vegetable shares n kinds, and the species one of food materials shares m kinds, and X is that various food materials exist Predicted required amount in following 3 days, WiThe amount of the various food materials included for i-th kind of vegetable, T(i1)It is i-th kind of vegetable at first day Predicted required amount, T(i2)It is i-th kind of vegetable in the predicted required amount of second day, T(i3)For prediction of i-th kind of vegetable at the 3rd day Demand, Tij are i-th kind of vegetable in the actual provision amount in jth day before, XtFor the quantity in stock of various food materials, Y is various food materials Prediction shortage amount in three days.WiIt can not possibly include all kinds food materials, therefore WiIn food materials not to be covered amount corresponding to it value For 0.
In one embodiment, in addition to it can carry out intelligent management to the storage levels of food materials according to the method described above, may be used also It is now, above-mentioned so that intelligently whether the food materials in dining room are monitored and be handled by the infringement of the various toys such as mouse Method may also include:
Pressure sensor is set in the lower section of food materials frame, and pressure sensor is used in preset time period measurement food materials in real time The gross weight of frame and inframe food materials;
Camera is set around food materials frame, and camera is used for the picture for shooting food materials frame;
Obtain the gross weight measured by pressure sensor in real time in above-mentioned preset time period, and real-time judge measures Gross weight whether change;
When the gross weight for judging to measure changes, record change time of origin;
By the food materials frame picture data in the preset duration before and after change time of origin, target terminal is sent to;Target is whole End includes the client in dining room.Preset duration can be waited several minutes for 5 minutes;Such as change time of origin is 10:When 30, then Can be by 10:25~10:Food materials frame picture data in 35 this period is sent to the client in dining room, the personnel in such dining room Can be viewed from client may have toy invade food materials picture, can also be seen according to picture whether have toy and The species of toy, so as to take food materials safeguard measure in time, prevent food materials are invaded by toy from damaging, ensure the food of food materials Use security.
In one embodiment, infrared camera can be also set around food materials frame, and infrared camera, which is used to shoot, to be eaten The infrared image of material frame;When the gross weight for judging to measure changes, the infrared image that infrared camera photographs is obtained, Judge in infrared image whether the life entity image of appearance activity;If it is, continue to judge that life entity image takes infrared figure The area of picture, when the area is equal to or more than preset area, illustrate that life entity is larger, it may be possible to people, then continue executing with and " judge to survey Whether the gross weight measured changes " operation, do not perform " record change time of origin;Before and after change time of origin Food materials frame picture data in preset duration, is sent to target terminal " operation;If the area is less than preset area, say Bright life entity is smaller, it may be possible to toy, then performs " record change time of origin;By change time of origin before and after it is default when Food materials frame picture data in length, is sent to target terminal " operation.This way it is possible to avoid by operation of the people to food materials frame Picture is sent to target terminal, improves monitoring accuracy.
In one embodiment, the target terminal also includes the refrigerator for being provided with display, as the display by described in Food materials frame picture data is shown.Because dining room has refrigerator certainly, therefore, using refrigerator as display food materials frame picture data Equipment, can be seen in time by the staff in dining room.
In one embodiment, for intelligent starting pressure sensor, it can give the gate in dining room that intelligent door lock is set, it is real When obtain door intelligent door lock state;
When the state of intelligent door lock is changed into locking state from open mode, each infrared camera for obtaining dining room is clapped The current picture taken the photograph, judge whether there is mobile people in current picture;
As the people not moved in current picture, pressure sensor current time being defined as in preset time period is opened Beginning time of measuring, control pressure sensor start.
In above-described embodiment, the state of intelligent door lock from open mode be changed into locking state when, illustrate that dining room is closed, Then the current picture photographed by infrared camera judges whether there is mobile people in dining room, if not provided, explanation dining room In closed really (nobody or the people in dining room sleep), now, just start pressure sensor, so as to intelligently existing Dining room is monitored after closing to food materials frame.
In one embodiment, methods described also includes:
Loudspeaker is set around food materials frame;
Percussion mechanism is set in the bottom of food materials frame, and the percussion mechanism is used to drive food materials frame while self vibration Vibrations;
When the gross weight for judging to measure changes, controlling loudspeaker sends preset sound, the control jarring machine Structure shakes.
When gross weight changes, explanation may have toy to invade food materials in food materials frame, and now, loudspeaker is sent The sound, frighten toy away;Percussion mechanism can drive food materials frame to shake, and so as to frighten toy away, avoid food materials small Animal damage is serious.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more The shape for the computer program product that usable storage medium is implemented on (including but is not limited to magnetic disk storage and optical memory etc.) Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in individual square frame or multiple square frames.
Above-described embodiment can independent assortment.Obviously, those skilled in the art can to the present invention carry out it is various change and Modification is without departing from the spirit and scope of the present invention.So, if these modifications and variations of the present invention belong to right of the present invention It is required that and its within the scope of equivalent technologies, then the present invention be also intended to comprising these change and modification including.

Claims (10)

  1. A kind of 1. food management method, it is characterised in that including:
    Obtain the food materials consumption numerical value in historical data;
    Food materials consumption numerical value in the historical data, analyze the variation tendency of the food materials consumption numerical value in future;
    According to the variation tendency of following food materials consumption numerical value, prompting is sent to the client in dining room, the prompting includes The variation tendency.
  2. 2. the method as described in claim 1, it is characterised in that also include:
    Food materials in existing all orders consume numerical value to correct the variation tendency of following food materials consumption numerical value.
  3. 3. method as claimed in claim 2, it is characterised in that the change of the food materials consumption numerical value for analyzing future becomes Gesture, including:
    The first weighted value is assigned to recent historical data;
    Data of the same period in historical data are assigned with the second weighted value, the same time includes the approximate day moon and/or identical Red-letter day, the second weighted value is more than the first weighted value;
    According to first weighted value and second weighted value, the change of following food materials consumption numerical value is further corrected Change trend.
  4. 4. the method as described in claim 1, it is characterised in that also include:
    The fluctuating range of the variation tendency of following food materials consumption numerical value is corrected according to the shelf-life of food materials.
  5. 5. the method as described in any in Claims 1-4, it is characterised in that also include:
    The variation tendency of following food materials consumption numerical value is corrected according to the change of the real-time supply of the various food materials Higher limit.
  6. 6. the method as described in any in claim 1 to 5, it is characterised in that also include:
    Transfer the actual provision amount of any vegetable of nearest 15 days;
    According to the actual provision amount of any vegetable of described nearest 15 days, the predicted required amount of following 3 days any vegetable of prediction;
    The consumption of the various food materials included according to the predicted required amount of any vegetable of real-time following 3 days and any vegetable, Calculate the predicted required amount of the various food materials in following 3 days;
    The formula of the predicted required amount of various food materials in described following 3 days is as follows:
    <mrow> <mi>X</mi> <mo>=</mo> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>W</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>1</mn> <mo>)</mo> </mrow> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>2</mn> <mo>)</mo> </mrow> </msub> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>3</mn> <mo>)</mo> </mrow> </msub> <mo>)</mo> </mrow> </mrow>
    <mrow> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>1</mn> <mo>)</mo> </mrow> </msub> <mo>=</mo> <mn>0.6</mn> <mo>*</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>2</mn> </mrow> <mn>15</mn> </munderover> <mrow> <mo>(</mo> <mn>17</mn> <mo>-</mo> <mi>j</mi> <mo>)</mo> </mrow> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow> <mn>119</mn> </mfrac> <mo>+</mo> <mn>0.4</mn> <mo>*</mo> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> </mrow>
    <mrow> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>2</mn> <mo>)</mo> </mrow> </msub> <mo>=</mo> <mn>0.6</mn> <mo>*</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>14</mn> </munderover> <mrow> <mo>(</mo> <mn>16</mn> <mo>-</mo> <mi>j</mi> <mo>)</mo> </mrow> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow> <mn>119</mn> </mfrac> <mo>+</mo> <mn>0.4</mn> <mo>*</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>1</mn> <mo>)</mo> </mrow> </msub> </mrow>
    <mrow> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>3</mn> <mo>)</mo> </mrow> </msub> <mo>=</mo> <mn>0.6</mn> <mo>*</mo> <mfrac> <mrow> <mn>15</mn> <mo>*</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>1</mn> <mo>)</mo> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>13</mn> </munderover> <mrow> <mo>(</mo> <mn>15</mn> <mo>-</mo> <mi>j</mi> <mo>)</mo> </mrow> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow> <mn>119</mn> </mfrac> <mo>+</mo> <mn>0.4</mn> <mo>*</mo> <msub> <mi>T</mi> <mrow> <mo>(</mo> <mi>i</mi> <mn>2</mn> <mo>)</mo> </mrow> </msub> </mrow>
    Wi={ xi1、xi2、、、xim}
    Y=X-Xt
    Wherein, the species one of vegetable shares n kinds, and the species one of food materials shares m kinds, and X is prediction of the various food materials within 3 days futures Demand, WiThe amount of the various food materials included for i-th kind of vegetable, T(i1)For predicted required amount of i-th kind of vegetable at first day, T(i2)It is i-th kind of vegetable in the predicted required amount of second day, T(i3)For predicted required amount of i-th kind of vegetable at the 3rd day, Tij is I-th kind of vegetable is in the actual provision amount in jth day before, XtFor the quantity in stock of various food materials, Y is the prediction in various food materials three days Shortage amount.
  7. 7. the method as described in any in claim 1 to 6, it is characterised in that methods described also includes:
    Pressure sensor is set in the lower section of food materials frame, and the pressure sensor is used in preset time period described in measurement in real time The gross weight of food materials frame and inframe food materials;
    Camera is set around food materials frame, and the camera is used for the picture for shooting food materials frame;
    Obtain the gross weight measured by the pressure sensor in real time in the preset time period, and real-time judge measures Gross weight whether change;
    When the gross weight for judging to measure changes, record change time of origin;
    By the food materials frame picture data in the preset duration before and after change time of origin, target terminal is sent to, the target is whole End includes the client in the dining room.
  8. 8. method as claimed in claim 7, it is characterised in that
    The target terminal also includes the refrigerator for being provided with display, is shown the food materials frame picture data by the display Come.
  9. 9. method as claimed in claim 7, it is characterised in that
    The on off state of the intelligent door lock of door is obtained in real time;
    When the state of the intelligent door lock is locks, the current picture that each camera in dining room photographs is obtained, judges to work as Whether mobile people is had in preceding picture;
    As the people not moved in the current picture, current time is defined as the pressure sensing in the preset time period Device starts time of measuring, and control pressure sensor starts.
  10. 10. method as claimed in claim 7, it is characterised in that methods described also includes:
    Loudspeaker is set around the food materials frame;
    When the gross weight for judging to measure changes, the loudspeaker is controlled to send preset sound.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108991913A (en) * 2018-06-27 2018-12-14 佛山市云米电器科技有限公司 It is a kind of realize food materials management scorch device and method
CN109272210A (en) * 2018-08-29 2019-01-25 深圳市元征科技股份有限公司 A kind of wheel balancing block stock amount recommended method, system and relevant device
CN112487059A (en) * 2020-12-01 2021-03-12 珠海优特智厨科技有限公司 Electronic menu data statistical method and device, storage medium and computer equipment
CN113915935A (en) * 2020-12-02 2022-01-11 海信(山东)冰箱有限公司 Thawing refrigerator and control method thereof
CN117057888A (en) * 2023-10-10 2023-11-14 索而智能家居有限公司 Internet of things intelligent control method, device, equipment and medium for intelligent cabinet

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104380320A (en) * 2012-04-13 2015-02-25 密封空气公司 Fresh departments management system
CN105043005A (en) * 2015-06-16 2015-11-11 合肥华凌股份有限公司 System and method for managing refrigerator food information
CN105513052A (en) * 2015-11-26 2016-04-20 四川长虹电器股份有限公司 Refrigerator food storage and deterioration information detection system and method
CN105825354A (en) * 2016-03-11 2016-08-03 北京小米移动软件有限公司 Storage scheduling method and apparatus
US20160350514A1 (en) * 2013-12-06 2016-12-01 Samsung Electronics Co., Ltd. Method and system for capturing food consumption information of a user
CN106969593A (en) * 2017-03-23 2017-07-21 辽宁科技学院 A kind of food management method of intelligent refrigerator
CN107036687A (en) * 2017-03-08 2017-08-11 湖北叶威(集团)智能科技有限公司 The grain storage Monitoring of Quantity method and device of view-based access control model
CN107292672A (en) * 2017-07-05 2017-10-24 上海数道信息科技有限公司 System and method for is realized in a kind of catering industry sales forecast
CN107347095A (en) * 2017-07-05 2017-11-14 深圳市宏鑫源投资咨询有限公司 A kind of long-range method and user terminal for checking goods information

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104380320A (en) * 2012-04-13 2015-02-25 密封空气公司 Fresh departments management system
US20160350514A1 (en) * 2013-12-06 2016-12-01 Samsung Electronics Co., Ltd. Method and system for capturing food consumption information of a user
CN105043005A (en) * 2015-06-16 2015-11-11 合肥华凌股份有限公司 System and method for managing refrigerator food information
CN105513052A (en) * 2015-11-26 2016-04-20 四川长虹电器股份有限公司 Refrigerator food storage and deterioration information detection system and method
CN105825354A (en) * 2016-03-11 2016-08-03 北京小米移动软件有限公司 Storage scheduling method and apparatus
CN107036687A (en) * 2017-03-08 2017-08-11 湖北叶威(集团)智能科技有限公司 The grain storage Monitoring of Quantity method and device of view-based access control model
CN106969593A (en) * 2017-03-23 2017-07-21 辽宁科技学院 A kind of food management method of intelligent refrigerator
CN107292672A (en) * 2017-07-05 2017-10-24 上海数道信息科技有限公司 System and method for is realized in a kind of catering industry sales forecast
CN107347095A (en) * 2017-07-05 2017-11-14 深圳市宏鑫源投资咨询有限公司 A kind of long-range method and user terminal for checking goods information

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108991913A (en) * 2018-06-27 2018-12-14 佛山市云米电器科技有限公司 It is a kind of realize food materials management scorch device and method
CN109272210A (en) * 2018-08-29 2019-01-25 深圳市元征科技股份有限公司 A kind of wheel balancing block stock amount recommended method, system and relevant device
CN112487059A (en) * 2020-12-01 2021-03-12 珠海优特智厨科技有限公司 Electronic menu data statistical method and device, storage medium and computer equipment
CN113915935A (en) * 2020-12-02 2022-01-11 海信(山东)冰箱有限公司 Thawing refrigerator and control method thereof
CN117057888A (en) * 2023-10-10 2023-11-14 索而智能家居有限公司 Internet of things intelligent control method, device, equipment and medium for intelligent cabinet
CN117057888B (en) * 2023-10-10 2024-02-06 索而智能家居有限公司 Internet of things intelligent control method, device, equipment and medium for intelligent cabinet

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