CN113592412A - Fresh food distribution method, device, equipment and storage medium - Google Patents

Fresh food distribution method, device, equipment and storage medium Download PDF

Info

Publication number
CN113592412A
CN113592412A CN202111153474.6A CN202111153474A CN113592412A CN 113592412 A CN113592412 A CN 113592412A CN 202111153474 A CN202111153474 A CN 202111153474A CN 113592412 A CN113592412 A CN 113592412A
Authority
CN
China
Prior art keywords
fresh food
fresh
distribution
time
weight
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111153474.6A
Other languages
Chinese (zh)
Inventor
王勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Missfresh Ecommerce Co Ltd
Original Assignee
Beijing Missfresh Ecommerce Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Missfresh Ecommerce Co Ltd filed Critical Beijing Missfresh Ecommerce Co Ltd
Priority to CN202111153474.6A priority Critical patent/CN113592412A/en
Publication of CN113592412A publication Critical patent/CN113592412A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q10/083Shipping
    • G06Q10/0832Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)

Abstract

The embodiment of the disclosure provides a fresh food distribution method, a fresh food distribution device, fresh food distribution equipment and a storage medium. The method comprises the following steps: acquiring an order number of a fresh order to be distributed; determining the fresh type, the quantity, the weight, the preservation temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number; determining the first refrigerating material consumption required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food; and outputting first prompt information, wherein the first prompt information is used for prompting a distributor to add the refrigerating material to the fresh food distribution box for storing the fresh food according to the first refrigerating material using amount. In this way, the required refrigerating material consumption of the fresh food during distribution can be accurately determined according to the factors influencing the preservation of the fresh food, so that the quality of the fresh food is ensured, the refrigerating material consumption is saved, and the cost is reduced.

Description

Fresh food distribution method, device, equipment and storage medium
Technical Field
The disclosure relates to the field of logistics, and in particular to a fresh food distribution method, device, equipment and storage medium.
Background
With the popularization and application of the internet, electronic commerce rapidly permeates every corner of people's life with irreplaceable superiority, and fresh food closely related to people's daily life is more of the rigid demand of electronic commerce.
In the distribution process of fresh food, especially frozen food, refrigeration materials such as ice bags, dry ice and the like are often required to be added to ensure the temperature of the food, so that the influence of thawing on the quality of the food is avoided. However, at present, the distributor mainly adds the refrigerating material to the fresh food distribution box for storing the fresh food according to personal experience, so that the situation that the addition is too much or too little often occurs.
Disclosure of Invention
The present disclosure provides a fresh food distribution method, apparatus, device and storage medium, which can accurately determine the amount of a refrigeration material required by a fresh food during distribution according to factors affecting preservation of the fresh food.
In a first aspect, an embodiment of the present disclosure provides a fresh food distribution method, including:
acquiring an order number of a fresh order to be distributed;
determining the fresh type, the quantity, the weight, the preservation temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number;
determining the first refrigerating material consumption required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food;
and outputting first prompt information, wherein the first prompt information is used for prompting a distributor to add the refrigerating material to the fresh food distribution box for storing the fresh food according to the first refrigerating material using amount.
In some implementations of the first aspect, determining, according to the order number, a fresh type, a quantity, a weight, a preservation temperature, and a delivery time of a fresh food corresponding to the fresh order to be delivered includes:
and searching the order of the fresh food to be distributed from the fresh food distribution system according to the order number to obtain the type, the quantity, the weight, the storage temperature and the distribution time of the fresh food.
In some implementations of the first aspect, determining the first amount of the refrigeration material required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the distribution duration, and the air temperature corresponding to the distribution time of the fresh food comprises:
inputting the fresh type, the quantity, the weight, the storage temperature, the distribution time length and the air temperature corresponding to the distribution time of the fresh food into a pre-trained refrigerating material consumption calculation model for calculation to obtain the first refrigerating material consumption required by the fresh food during the distribution period.
In some implementations of the first aspect, the calculation model of the usage amount of the refrigeration material is obtained by training a preset neural network based on a plurality of training samples, the training samples are distributed fresh food, the sample characteristics of the training samples include a fresh type, a quantity, a weight, a preservation temperature, a distribution time length, and an air temperature corresponding to a distribution time of the distributed fresh food, and the sample labels of the training samples include the usage amount of the refrigeration material used by the distributed fresh food during the distribution period.
In some implementations of the first aspect, the method further comprises:
acquiring an internal temperature change curve of the fresh food distribution box in real time;
determining whether the fresh distribution box needs to be supplemented with refrigeration materials or not according to the internal temperature change curve;
if the fresh food distribution box needs to be supplemented with the refrigerating materials, determining the second refrigerating material consumption required by the fresh food in the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the residual distribution time and the air temperature corresponding to the residual distribution time of the fresh food;
and outputting second prompt information, wherein the second prompt information is used for prompting a distributor to add the refrigerating materials to the fresh distribution box according to the second refrigerating material using amount.
In some implementations of the first aspect, obtaining the internal temperature variation curve of the fresh food distribution box in real time includes:
acquiring the internal temperature of the fresh food distribution box in real time;
and performing linear fitting on the internal temperature acquired in real time to obtain an internal temperature change curve.
In some implementations of the first aspect, the method further comprises:
if the receiving delay of the user is determined, obtaining the receiving delay time of the fresh food, the air temperature corresponding to the receiving delay time and the internal temperature of the fresh food distribution box;
determining the third refrigerating material consumption required by the fresh food during the receiving delay period according to the fresh type, the quantity, the weight, the storage temperature, the receiving delay time, the air temperature corresponding to the receiving delay time and the internal temperature of the fresh food distribution box of the fresh food;
and outputting third prompt information, wherein the third prompt information is used for prompting a distributor to add the refrigerating materials to the fresh distribution box according to the third refrigerating material using amount.
In a second aspect, embodiments of the present disclosure provide a fresh food dispensing apparatus, the apparatus including:
the acquisition module is used for acquiring an order number of a fresh order to be distributed;
the determining module is used for determining the fresh type, the quantity, the weight, the storage temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number;
the determining module is further used for determining the first refrigerating material consumption required by the fresh food in the distribution period according to the fresh type, the quantity, the weight, the storage temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food;
the output module is used for outputting first prompt information, wherein the first prompt information is used for prompting a distributor to add the refrigerating materials to the fresh food distribution box for storing the fresh food according to the first refrigerating material using amount.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
In a fourth aspect, the disclosed embodiments provide a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described above.
In a fifth aspect, the disclosed embodiments provide a computer program product comprising a computer program that, when executed by a processor, implements a method as described above.
In the disclosure, the fresh type, the quantity, the weight, the preservation temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed can be determined according to the order number of the fresh order to be distributed, the first refrigeration material usage amount required by the fresh food during distribution is determined according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the temperature corresponding to the distribution time of the fresh food, and then first prompt information is output, wherein the first prompt information is used for prompting a distributor to add the refrigeration material to a fresh distribution box for storing the fresh food according to the first refrigeration material usage amount. In this way, the required refrigerating material consumption of the fresh food during distribution can be accurately determined according to the factors influencing the preservation of the fresh food, so that the quality of the fresh food is ensured, the refrigerating material consumption is saved, and the cost is reduced.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. The accompanying drawings are included to provide a further understanding of the present disclosure, and are not intended to limit the disclosure thereto, and the same or similar reference numerals will be used to indicate the same or similar elements, where:
FIG. 1 illustrates a schematic diagram of an exemplary operating environment in which embodiments of the present disclosure can be implemented;
fig. 2 is a flow chart illustrating a method for delivering fresh food according to an embodiment of the present disclosure;
fig. 3 is a block diagram illustrating a fresh food dispensing apparatus according to an embodiment of the present disclosure;
FIG. 4 sets forth a block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In view of the problems occurring in the background art, the embodiments of the present disclosure provide a fresh food distribution method, device, apparatus and storage medium. Specifically, the fresh type, the quantity, the weight, the storage temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed can be determined according to the order number of the fresh order to be distributed, the first refrigerating material consumption required by the fresh food during distribution is determined according to the fresh type, the quantity, the weight, the storage temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food, and then first prompt information is output, wherein the first prompt information is used for prompting a distributor to add the refrigerating material to a fresh distribution box for storing the fresh food according to the first refrigerating material consumption. In this way, the required refrigerating material consumption of the fresh food during distribution can be accurately determined according to the factors influencing the preservation of the fresh food, so that the quality of the fresh food is ensured, the refrigerating material consumption is saved, and the cost is reduced.
The fresh food distribution method, device, equipment and storage medium provided by the embodiments of the present disclosure are described in detail by specific embodiments with reference to the accompanying drawings.
Fig. 1 illustrates a schematic diagram of an exemplary operating environment 100 in which embodiments of the present disclosure can be implemented, as shown in fig. 1, in which operating environment 100 may include a user terminal 110 and a server 120.
The user terminal 110 may be a mobile electronic device or a non-mobile electronic device. For example, the Mobile electronic device may be a Mobile phone, a tablet Computer, a notebook Computer, a palmtop Computer, an Ultra-Mobile Personal Computer (UMPC), or the like, and the non-Mobile electronic device may be a Personal Computer (PC), an in-vehicle host, or the like.
The server 120 is used for processing data and issuing instructions, and the server 120 may be a single server, a server cluster, a cloud server, or the like. As shown in fig. 1, the user terminal 110 may be communicatively coupled to the server 120 through a wired network or a wireless network.
As an example, at the beginning of the fresh food delivery, the dispenser may enter an order number for the fresh order to be delivered at the user terminal 110, in response to which, the user terminal 110 sends the order number to the server 120, the server 110 can then determine the fresh type, quantity, weight, storage temperature and delivery time of the fresh food corresponding to the fresh order to be delivered according to the order number, and determines the first refrigeration material usage amount required by the fresh food during the distribution period according to the fresh type, quantity, weight, storage temperature, distribution time and air temperature corresponding to the distribution time of the fresh food, and further outputs a first prompt message through the user terminal 110, the first prompt information is used for prompting a dispenser to add a refrigerating material to a fresh food distribution box for storing fresh food according to the first refrigerating material consumption, and optionally, the refrigerating material can be ice or dry ice.
In this way, the required refrigerating material consumption of the fresh food during distribution can be accurately determined according to the factors influencing the preservation of the fresh food, so that the quality of the fresh food is ensured, the refrigerating material consumption is saved, and the cost is reduced.
The fresh food distribution method according to the embodiment of the present disclosure will be described in detail below, wherein the execution subject of the fresh food distribution method may be the server 120 shown in fig. 1.
Fig. 2 shows a flow chart of a fresh food distribution method 200 according to an embodiment of the present disclosure, and as shown in fig. 2, the fresh food distribution method 200 may include the following steps:
s210, acquiring an order number of the fresh order to be distributed.
Specifically, an order number of a fresh food order to be dispensed, which is input by a dispenser, may be received, where the fresh food order to be dispensed represents an order of fresh food to be dispensed.
And S220, determining the fresh type, the quantity, the weight, the preservation temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number.
In some embodiments, the order for the fresh food to be dispensed can be searched from the fresh food dispensing system according to the order number, so as to obtain the type, quantity, weight, preservation temperature and dispensing time of the fresh food.
For example, the order query may be performed in the fresh food delivery system based on the order number, so as to obtain an order corresponding to the order number, that is, a fresh food order to be delivered, and then obtain the fresh type, quantity, weight, storage temperature, and delivery time of the fresh food from the delivery information of the fresh food order to be delivered. Therefore, the related delivery information of the fresh food to be delivered can be quickly acquired from the fresh food delivery system based on the order number, and the manual determination of a delivery worker is avoided.
And S230, determining the first refrigerating material consumption required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food.
Specifically, the delivery time may include an expected delivery start time and a delivery end time, and accordingly, a time difference between the delivery start time and the delivery end time may be calculated as the delivery time period.
In addition, the distribution route of the fresh food corresponding to the fresh order to be distributed can be determined according to the order number, and then the distribution time length of the fresh food is calculated according to the distribution route.
In some embodiments, the air temperature corresponding to the type, quantity, weight, storage temperature, distribution time and distribution time of the fresh food can be input into a pre-trained refrigeration material usage calculation model for calculation, so as to quickly obtain the first refrigeration material usage required by the fresh food during distribution.
Illustratively, the calculation model of the usage amount of the refrigeration material may be obtained by training a preset neural network based on a plurality of training samples, the training samples are distributed fresh food, the sample characteristics of the training samples include the type, the number, the weight, the storage temperature, the distribution duration and the air temperature corresponding to the distribution time of the distributed fresh food, the sample labels of the training samples include the usage amount of the refrigeration material used by the distributed fresh food during the distribution period, and the preset neural network may be a convolutional neural network, a cyclic neural network, a long-term and short-term memory neural network, and the like. Therefore, the distributed fresh food can be used as a training sample to train the preset neural network, and the refrigerating material consumption calculation model with high calculation accuracy is obtained.
In order to make the trained calculation model of the amount of refrigerant material more computationally powerful, the sample characteristics of the training samples may further include the initial internal temperature of the fresh distribution box at the beginning of distribution and the final internal temperature at the end of distribution.
And S240, outputting the first prompt message.
Wherein, first prompt message can be used for prompting the distributor to add the refrigeration material to the bright delivery case of giving birth to of preserving bright food according to first refrigeration material quantity, and the delivery is carried out.
According to the embodiment of the disclosure, the first refrigerating material usage required by the fresh food during the distribution period can be determined according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food, and then the first prompt information is output to prompt a distributor to add the refrigerating material to the fresh distribution box for preserving the fresh food according to the first refrigerating material usage. Therefore, the amount of the refrigeration material required by the fresh food during the distribution period can be accurately determined according to the factors influencing the preservation of the fresh food, so that the quality of the fresh food is ensured, the amount of the refrigeration material is saved, and the cost is reduced.
In some embodiments, the internal temperature variation curve of the fresh food distribution box can be obtained in real time, specifically, the internal temperature of the fresh food distribution box can be obtained in real time, linear fitting is performed on the internal temperature obtained in real time, and the internal temperature variation curve is obtained quickly and accurately. Further, can receive the inside temperature that the communication module who is connected with temperature sensor reported, wherein, communication module and temperature sensor set up inside giving birth to bright delivery case, and temperature sensor is used for gathering the inside temperature who gives birth to bright delivery case.
And then determining whether the fresh distribution box needs to be supplemented with the refrigerating materials according to the internal temperature change curve. Optionally, the internal temperature variation trend of the fresh food distribution box may be predicted according to the internal temperature variation curve, whether the internal temperature of the fresh food distribution box exceeds a preset temperature threshold value in the remaining distribution time is determined according to the internal temperature variation trend, if so, it is determined that the fresh food distribution box needs to supplement the refrigeration material, and if not, it is determined that the fresh food distribution box does not need to supplement the refrigeration material. The internal temperature change curve can be compared with a preset standard temperature change curve, if the internal temperature change curve moves upwards relative to the standard temperature change curve, namely the internal temperature of the fresh food distribution box is higher than the standard temperature change curve, the fresh food distribution box is determined to be required to be supplemented with the refrigeration materials, and if the internal temperature change curve does not move upwards relative to the standard temperature change curve, the fresh food distribution box is determined not to be required to be supplemented with the refrigeration materials.
And if the fresh food distribution box needs to be supplemented with the refrigerating materials, determining the second refrigerating material consumption required by the fresh food during distribution according to the fresh type, the quantity, the weight, the preservation temperature, the residual distribution time and the air temperature corresponding to the residual distribution time of the fresh food. Referring to S230, the type, quantity, weight, storage temperature, remaining delivery duration, and air temperature corresponding to the remaining delivery time of the fresh food may be input into the refrigeration material usage calculation model for calculation, so as to obtain the second refrigeration material usage.
And outputting second prompt information, wherein the second prompt information is used for prompting a distributor to add the refrigerating materials to the fresh distribution box according to the second refrigerating material using amount.
In this way, whether the fresh food distribution box needs to be supplemented with the refrigerating materials or not can be determined in real time during distribution, and under the condition that the refrigerating materials need to be supplemented, the using amount of the refrigerating materials to be supplemented is accurately calculated and a distributor is timely prompted to supplement the refrigerating materials, so that the quality of fresh food is guaranteed, and the using amount of the refrigerating materials is saved.
In some embodiments, if it is determined that the delivery of the fresh food is delayed, for example, when the delivery person arrives at the delivery address, the delivery address is not available for the user, and the delivery cannot be performed, the delivery delay time of the fresh food, the temperature corresponding to the delivery delay time, and the internal temperature of the fresh food delivery box may be obtained, and a third prompt message for prompting the delivery person to add the refrigeration material to the fresh food delivery box according to the type, quantity, weight, storage temperature, delivery delay time, temperature corresponding to the delivery delay time, and the internal temperature of the fresh food delivery box may be determined, where the third prompt message is used to prompt the delivery person to add the refrigeration material to the fresh food delivery box according to the third refrigeration material usage. Therefore, under the condition of delayed receiving, the refrigerating material consumption required by the fresh food during the delayed receiving period can be accurately determined, and the distributor can be prompted to supplement the refrigerating material in time, so that the quality of the fresh food is guaranteed, and the refrigerating material consumption is saved.
It is noted that while for simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.
The above is a description of embodiments of the method, and the embodiments of the apparatus are further described below.
Fig. 3 illustrates a block diagram of a fresh food dispensing apparatus 300 according to an embodiment of the present disclosure, and as shown in fig. 3, the fresh food dispensing apparatus 300 may include:
the obtaining module 310 is configured to obtain an order number of a fresh order to be dispensed.
The determining module 320 is configured to determine, according to the order number, a fresh type, a quantity, a weight, a storage temperature, and a delivery time of the fresh food corresponding to the fresh order to be delivered.
The determining module 320 is further configured to determine a first usage amount of the refrigeration material required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the storage temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food.
The output module 330 is configured to output first prompt information, where the first prompt information is used to prompt a dispenser to add a refrigeration material to a fresh food distribution box storing fresh food according to a first refrigeration material usage amount.
In some embodiments, the determining module 320 is specifically configured to:
and searching the order of the fresh food to be distributed from the fresh food distribution system according to the order number to obtain the type, the quantity, the weight, the storage temperature and the distribution time of the fresh food.
In some embodiments, the determining module 320 is specifically configured to:
inputting the fresh type, the quantity, the weight, the storage temperature, the distribution time length and the air temperature corresponding to the distribution time of the fresh food into a pre-trained refrigerating material consumption calculation model for calculation to obtain the first refrigerating material consumption required by the fresh food during the distribution period.
In some embodiments, the calculation model of the usage amount of the refrigeration material is obtained by training a preset neural network based on a plurality of training samples, the training samples are distributed fresh food, the sample characteristics of the training samples include the type, the number, the weight, the storage temperature, the distribution time length and the air temperature corresponding to the distribution time of the distributed fresh food, and the sample labels of the training samples include the usage amount of the refrigeration material used by the distributed fresh food during the distribution period.
In some embodiments, the obtaining module 310 is further configured to obtain an internal temperature variation curve of the fresh food distribution box in real time.
The determining module 320 is further configured to determine whether the fresh dispensing box needs to be replenished with the refrigerant according to the internal temperature variation curve.
The determining module 320 is further configured to determine, if the fresh food distribution box needs to supplement the refrigeration material, a second refrigeration material usage amount required by the fresh food during distribution according to the fresh type, the quantity, the weight, the storage temperature, the remaining distribution time and the air temperature corresponding to the remaining distribution time of the fresh food.
The output module 330 is further configured to output second prompt information, where the second prompt information is used to prompt a dispenser to add the refrigeration material to the fresh food distribution box according to the usage amount of the second refrigeration material.
In some embodiments, the obtaining module 310 is specifically configured to:
the internal temperature of the fresh distribution box is obtained in real time, and linear fitting is carried out on the internal temperature obtained in real time to obtain an internal temperature change curve.
In some embodiments, the obtaining module 310 is further configured to obtain a receiving delay time of the fresh food, an air temperature corresponding to the receiving delay time, and an internal temperature of the fresh food distribution box if the receiving delay of the user is determined.
The determining module 320 is further configured to determine a third usage amount of the refrigeration material required by the fresh food during the receiving delay period according to the type, the quantity, the weight, the storage temperature, the receiving delay time, the air temperature corresponding to the receiving delay time, and the internal temperature of the fresh food distribution box of the fresh food.
The output module 330 is further configured to output third prompt information, where the third prompt information is used to prompt a distributor to add the refrigeration material to the fresh food distribution box according to the third refrigeration material usage amount.
It can be understood that each module/unit in the fresh food dispensing device 300 shown in fig. 3 has a function of implementing each step in the fresh food dispensing method provided by the embodiment of the present disclosure, and can achieve the corresponding technical effect, and for brevity, no further description is provided herein.
FIG. 4 illustrates a block diagram of an electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic device 400 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device 400 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the electronic device 400 may include a computing unit 401 that may perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, ROM402, and RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 401 performs the various methods and processes described above, such as the method 200. For example, in some embodiments, the method 200 may be implemented as a computer program product, including a computer program, tangibly embodied in a computer-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 400 via the ROM402 and/or the communication unit 409. When the computer program is loaded into RAM403 and executed by computing unit 401, one or more steps of method 200 described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the method 200 by any other suitable means (e.g., by means of firmware).
The various embodiments described herein above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a computer-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a computer-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It should be noted that the present disclosure also provides a non-transitory computer readable storage medium storing computer instructions, where the computer instructions are used to enable a computer to execute the method 200 and achieve the corresponding technical effects achieved by the method according to the embodiments of the present disclosure, and for brevity, the detailed description is omitted here.
Additionally, the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the method 200.
To provide for interaction with a user, the above-described embodiments may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The embodiments described above may be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user may interact with an implementation of the systems and techniques described herein), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (10)

1. A fresh food dispensing method comprising:
acquiring an order number of a fresh order to be distributed;
determining the fresh type, the quantity, the weight, the storage temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number;
determining the first refrigerating material consumption required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the storage temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food;
and outputting first prompt information, wherein the first prompt information is used for prompting a distributor to add the refrigerating material to the fresh food distribution box for storing the fresh food according to the usage amount of the first refrigerating material.
2. The method of claim 1, wherein the determining the fresh type, the quantity, the weight, the preservation temperature and the delivery time of the fresh food corresponding to the fresh order to be delivered according to the order number comprises:
and searching the order of the fresh food to be delivered from a fresh food delivery system according to the order number to obtain the type, the quantity, the weight, the storage temperature and the delivery time of the fresh food.
3. The method of claim 1, wherein the determining the first usage amount of the refrigeration material required by the fresh food product during the distribution according to the fresh type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food product comprises:
inputting the fresh type, the quantity, the weight, the storage temperature, the distribution time and the air temperature corresponding to the distribution time of the fresh food into a pre-trained refrigeration material usage calculation model for calculation to obtain a first refrigeration material usage required by the fresh food during distribution.
4. The method of claim 3, wherein the model of calculating the amount of the refrigerant material is obtained by training a predetermined neural network based on a plurality of training samples, the training samples are distributed fresh food, the sample characteristics of the training samples include the type, the quantity, the weight, the preservation temperature, the distribution time and the air temperature corresponding to the distribution time of the distributed fresh food, and the sample label of the training samples includes the amount of the refrigerant material used by the distributed fresh food during distribution.
5. The method of claim 1, further comprising:
acquiring an internal temperature change curve of the fresh food distribution box in real time;
determining whether the fresh distribution box needs to be supplemented with refrigeration materials or not according to the internal temperature change curve;
if the fresh food distribution box needs to be supplemented with refrigeration materials, determining the second refrigeration material consumption required by the fresh food in the distribution period according to the fresh type, the quantity, the weight, the preservation temperature, the residual distribution time and the air temperature corresponding to the residual distribution time of the fresh food;
and outputting second prompt information, wherein the second prompt information is used for prompting a distributor to add the refrigerating material to the fresh distribution box according to the second refrigerating material using amount.
6. The method of claim 5, wherein the obtaining the internal temperature profile of the fresh food distribution box in real time comprises:
acquiring the internal temperature of the fresh food distribution box in real time;
and performing linear fitting on the internal temperature acquired in real time to obtain the internal temperature change curve.
7. The method of any of claims 1-6, further comprising:
if the receiving delay of the user is determined, obtaining the receiving delay time of the fresh food, the air temperature corresponding to the receiving delay time and the internal temperature of the fresh food distribution box;
determining the third refrigerating material consumption required by the fresh food during the receiving delay period according to the fresh type, the quantity, the weight, the storage temperature, the receiving delay time, the air temperature corresponding to the receiving delay time and the internal temperature of the fresh food distribution box of the fresh food;
and outputting third prompt information, wherein the third prompt information is used for prompting a distributor to add the refrigerating material to the fresh distribution box according to the third refrigerating material using amount.
8. A fresh food dispensing apparatus comprising:
the acquisition module is used for acquiring an order number of a fresh order to be distributed;
the determining module is used for determining the fresh type, the quantity, the weight, the storage temperature and the distribution time of the fresh food corresponding to the fresh order to be distributed according to the order number;
the determining module is further configured to determine a first refrigeration material usage amount required by the fresh food during the distribution period according to the fresh type, the quantity, the weight, the storage temperature, the distribution duration of the fresh food and the air temperature corresponding to the distribution time;
and the output module is used for outputting first prompt information, wherein the first prompt information is used for prompting a distributor to add the refrigerating materials to the fresh food distribution box for storing the fresh food according to the first refrigerating material consumption.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-7.
CN202111153474.6A 2021-09-29 2021-09-29 Fresh food distribution method, device, equipment and storage medium Pending CN113592412A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111153474.6A CN113592412A (en) 2021-09-29 2021-09-29 Fresh food distribution method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111153474.6A CN113592412A (en) 2021-09-29 2021-09-29 Fresh food distribution method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN113592412A true CN113592412A (en) 2021-11-02

Family

ID=78242803

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111153474.6A Pending CN113592412A (en) 2021-09-29 2021-09-29 Fresh food distribution method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113592412A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116957449A (en) * 2023-09-18 2023-10-27 青岛冠成软件有限公司 Fresh supply chain emergency dispatching system based on artificial intelligence

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012138000A (en) * 2010-12-27 2012-07-19 Mayekawa Mfg Co Ltd Method for optimizing food material transportation network
CN205068483U (en) * 2015-09-21 2016-03-02 深圳市同盛绿色科技有限公司 Fresh food dispenser and delivery system thereof
CN108876238A (en) * 2018-06-05 2018-11-23 圆通速递有限公司 Cold chain based on Internet of Things packs intelligent Matching system and method
CN110399998A (en) * 2018-04-24 2019-11-01 沃司科技股份有限公司 Cold Chain Logistics early warning system and its method
CN111445197A (en) * 2020-06-17 2020-07-24 北京每日优鲜电子商务有限公司 Fresh food distribution method
CN111815249A (en) * 2020-08-31 2020-10-23 北京每日优鲜电子商务有限公司 Distribution management method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012138000A (en) * 2010-12-27 2012-07-19 Mayekawa Mfg Co Ltd Method for optimizing food material transportation network
CN205068483U (en) * 2015-09-21 2016-03-02 深圳市同盛绿色科技有限公司 Fresh food dispenser and delivery system thereof
CN110399998A (en) * 2018-04-24 2019-11-01 沃司科技股份有限公司 Cold Chain Logistics early warning system and its method
CN108876238A (en) * 2018-06-05 2018-11-23 圆通速递有限公司 Cold chain based on Internet of Things packs intelligent Matching system and method
CN111445197A (en) * 2020-06-17 2020-07-24 北京每日优鲜电子商务有限公司 Fresh food distribution method
CN111815249A (en) * 2020-08-31 2020-10-23 北京每日优鲜电子商务有限公司 Distribution management method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116957449A (en) * 2023-09-18 2023-10-27 青岛冠成软件有限公司 Fresh supply chain emergency dispatching system based on artificial intelligence
CN116957449B (en) * 2023-09-18 2023-12-05 青岛冠成软件有限公司 Fresh supply chain emergency dispatching system based on artificial intelligence

Similar Documents

Publication Publication Date Title
CN105719009A (en) Method and device for processing distribution tasks
CN110874751A (en) Supermarket replenishment method and system
CN113627846A (en) Inventory adjusting method and device, electronic equipment and computer readable medium
CN111126903A (en) Replenishment method, device and system
CN114881129A (en) Model training method and device, electronic equipment and storage medium
CN113743971A (en) Data processing method and device
CN113592412A (en) Fresh food distribution method, device, equipment and storage medium
CN114663015A (en) Replenishment method and device
CN109948965A (en) Control method and device
CN114461658A (en) Name determination method, apparatus, device, program product, and storage medium
CN116993416A (en) Merchant recommendation method, device, equipment and medium
CN112347417A (en) Method and device for determining replenishment quantity
CN116594563A (en) Distributed storage capacity expansion method and device, electronic equipment and storage medium
CN114138397B (en) Page display method and device, electronic equipment and storage medium
CN115309730A (en) Data auditing method and device, electronic equipment and storage medium
CN115525665A (en) Information processing method and device, electronic equipment and computer readable medium
CN114564149A (en) Data storage method, device, equipment and storage medium
CN110084541B (en) Method and apparatus for predicting supplier delivery duration
CN114065018A (en) Commodity popularity determination method and device, electronic equipment and computer readable storage medium
CN113361621A (en) Method and apparatus for training a model
CN112036800A (en) Meal distribution method and device
CN111062661A (en) Sales prediction-based storage capacity allocation method and device
CN110956477A (en) Method and device for determining optimal price of commodity
CN114398558B (en) Information recommendation method, device, electronic equipment and storage medium
CN114936812B (en) Method and device for dispensing a robot for objects to be dispensed

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211102