CN116934197A - Intelligent management method and system for freezer clusters - Google Patents

Intelligent management method and system for freezer clusters Download PDF

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Publication number
CN116934197A
CN116934197A CN202310585049.7A CN202310585049A CN116934197A CN 116934197 A CN116934197 A CN 116934197A CN 202310585049 A CN202310585049 A CN 202310585049A CN 116934197 A CN116934197 A CN 116934197A
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refrigeration house
product
storage
order
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沈妍
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Shanghai Lianku Information Technology Co ltd
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Shanghai Lianku Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0833—Tracking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

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  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)

Abstract

The application discloses a method and a system for intelligently monitoring a refrigeration house cluster, and relates to the technical field of refrigeration house management; analyzing and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and finely arranging the target refrigeration house set according to the screening priority to obtain a target refrigeration house set; displaying the target refrigeration house set for a user to confirm; when a user's freezer confirming instruction is detected, determining a target freezer according to the freezer confirming instruction, and generating a target warehousing and docking order corresponding to the target freezer; and controlling the target refrigeration house according to the target warehousing and docking order. The application solves the problems that the existing refrigeration house cannot be managed in a centralized way, basic information sharing of the refrigeration house is lacking, and tenants cannot quickly find out a proper refrigeration house.

Description

Intelligent management method and system for freezer clusters
Technical Field
The application relates to the technical field of refrigeration houses, in particular to an intelligent management method and system for refrigeration house clusters.
Background
The freezer is one of the storage warehouses. The cold storage refers to a constant temperature and humidity storage device which is used for creating a warehouse environment different from outdoor temperature or humidity by manual means and also for food, liquid, chemical industry, medicine, vaccine, scientific experiments and other articles. The freezer is typically located near a port of transportation or origin. Compared with a refrigerator, the refrigerator has larger refrigeration area and has a common refrigeration principle. The refrigerator is mostly refrigerated by a refrigerator, and liquid (ammonia or freon) with very low gasification temperature is used as a coolant to evaporate the liquid under the conditions of low pressure and mechanical control, so as to absorb heat in the refrigerator, thereby achieving the purpose of cooling. The most commonly used is a compression type refrigerator, which mainly consists of a compressor, a condenser, a throttle valve, an evaporation pipe and the like. The evaporator can be directly cooled and indirectly cooled according to the mode of the evaporating pipe device. The evaporating pipe is arranged in the refrigerating warehouse through direct cooling, and the liquid coolant directly absorbs heat in the warehouse to cool when passing through the evaporating pipe.
The existing refrigeration house cannot be managed in a centralized manner, basic information sharing of the refrigeration house is lacking, and a tenant cannot find out a suitable refrigeration house quickly, so that experience of the refrigeration house tenant is reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the application provides an intelligent management method and system for a refrigerator cluster.
In a first aspect, a refrigeration house cluster intelligent management system includes the following steps:
acquiring a target warehousing order of a user and a screening priority corresponding to the target warehousing order, wherein the target warehousing order comprises product basic information of a target product to be warehoused;
analyzing and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and finely arranging the target refrigeration house set according to the screening priority to obtain a target refrigeration house set;
displaying the target refrigeration house set for a user to confirm;
when a user's freezer confirming instruction is detected, determining a target freezer according to the freezer confirming instruction, and generating a target warehousing and docking order corresponding to the target freezer;
and controlling the target refrigeration house according to the target warehousing and docking order.
Preferably, before obtaining the target warehouse-in order of the user and the corresponding screening priority thereof, the method comprises the following steps: and creating a cold storage database in advance, and updating data in the cold storage database in real time.
Preferably, the product base information of the target product includes at least one of: the variety attribute of the target product and the storage environment condition information of the target product; the storage environment condition information of the target product comprises at least one of the following: the space size of the space required by the target product, the total weight of the target product, the warehouse time period of the target product and the storage temperature of the target product; the filtering priority includes priority sequence information and priority attribute information, wherein the priority attribute information includes at least one of the following: cost, distance, score.
Preferably, the analyzing and matching are performed according to the product basic information, and determining the target refrigeration house set meeting the product basic information from the refrigeration house database includes:
determining the type of the refrigeration house according to the variety attribute of the target product;
determining a first refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the first refrigeration house set is a single refrigeration house set, judging whether a threshold value of the number of the single refrigeration houses in the first refrigeration house set is larger than a preset threshold value, if so, taking the first refrigeration house set as a target refrigeration house set, if not, determining a second refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the second refrigeration house set is a combined refrigeration house set, and taking the first refrigeration house set and the second refrigeration house set as target refrigeration house set.
Preferably, the fine-arranging the target refrigeration house set according to the screening priority, and obtaining the target refrigeration house set includes:
and determining the weight of each piece of priority attribute information according to the priority sequence information, evaluating the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the weight, and sequencing the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the evaluation result to determine the target refrigeration house set.
Preferably, the target warehouse entry order includes storage environment information of the target product.
Preferably, controlling the target refrigeration house according to the target warehouse entry order comprises:
determining a target storage area from the target refrigeration house according to the storage environment condition information of the target product, locking the target storage area, and modifying the state of the warehousing and order taking into waiting for warehousing;
before the start of the warehouse utilization time, detecting whether the target storage area meets the storage environment condition information, if so, modifying the state of the warehouse-in order to be warehouse-in, if not, modifying the state of the warehouse-in order to be warehouse-out, and generating alarm information;
after the product is put in storage, detecting whether the real-time storage environment condition information of the product is consistent with the storage environment condition information in the put-in-storage order, if so, modifying the state of the put-in-storage order into put-in-storage, otherwise, modifying the state of the put-in-storage order into put-in-storage failure, and generating alarm information;
after the warehouse time is finished, detecting whether the target storage area stores the target product or not, if not, generating a fee list, and if not, generating a warehouse entry pair continuous order.
In a second aspect, a system for intelligent management of a refrigeration house cluster, comprising:
the system comprises an acquisition module, a screening module and a storage module, wherein the acquisition module is used for acquiring a target storage order of a user and a screening priority corresponding to the target storage order, and the target storage order comprises product basic information of a target product to be stored;
the analysis module is used for carrying out analysis and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and carrying out fine discharge on the target refrigeration house set according to the screening priority to obtain a target refrigeration house set;
the display module is used for displaying the target refrigeration house set for a user to confirm;
the order generation module is used for determining a target refrigeration house according to the refrigeration house confirmation instruction when detecting the refrigeration house confirmation instruction of a user and generating a target warehousing order corresponding to the target refrigeration house;
and the order management and control module is used for managing and controlling the target refrigeration house according to the target warehouse-in order.
In a third aspect, a computer readable storage medium comprising a stored program, wherein the program when run performs any of the methods described above.
In a fourth aspect, an electronic device comprises a memory having stored therein a computer program and a processor arranged to perform the method of any of the preceding claims by means of the computer program.
The beneficial effects of the application are as follows: according to the intelligent management method and system for the refrigeration house clusters, after the target storage order of the user is acquired, analysis and matching can be carried out according to the basic information of the products of the target storage order, the target refrigeration houses required by the user can be flexibly and accurately screened out, dynamic tracking can be carried out on the condition that the target products enter and exit the target refrigeration houses, and the user can conveniently check. The application solves the problems that the existing refrigeration house cannot be managed in a centralized way, basic information sharing of the refrigeration house is lacking, and tenants cannot quickly find out a proper refrigeration house.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a flow chart of a method for intelligent management of a refrigeration house cluster according to an embodiment of the present application;
fig. 2 is a system block diagram of a refrigeration house cluster intelligent management system according to an embodiment of the application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
Example 1
As shown in fig. 1, the embodiment of the application provides an intelligent management method for a refrigeration house cluster, which comprises the following steps:
step 1, acquiring a target warehousing order of a user and a screening priority corresponding to the target warehousing order, wherein the target warehousing order comprises product basic information of a target product to be warehoused.
The user may input product base information of a target product to be stored and a screening condition (i.e., a screening priority) at a user interface, wherein the product base information includes at least one of the following: the variety attribute of the target product and the storage environment condition information of the target product; the storage environment condition information of the target product comprises at least one of the following: the space size of the space required by the target product, the total weight of the target product, the warehouse time period of the target product and the storage temperature of the target product; the filtering priority includes priority sequence information and priority attribute information, wherein the priority attribute information includes at least one of the following: cost, distance, score.
By adopting the method, the actual demands of users can be obtained, and the screening of subsequent refrigeration houses is convenient.
In the embodiment of the application, before acquiring the target warehouse-in order of the user and the corresponding screening priority thereof, the method comprises the following steps: and creating a cold storage database in advance, and updating data in the cold storage database in real time.
By creating a refrigeration house database, the sharing of refrigeration house basic information can be realized, wherein the refrigeration house basic information comprises refrigeration house grade, grading, position, renting price, time, area, type and the like, and a renter can update the refrigeration house basic information at any time to realize centralized management of the refrigeration house.
Step 2, analyzing and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and finely arranging the target refrigeration house set according to the screening priority to obtain a target refrigeration house set;
in the embodiment of the application, the analysis and matching are carried out according to the basic information of the product, and the determination of the target refrigeration house set meeting the basic information of the product from the refrigeration house database comprises the following steps: determining the type of the refrigeration house according to the variety attribute of the target product; determining a first refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the first refrigeration house set is a single refrigeration house set, judging whether a threshold value of the number of the single refrigeration houses in the first refrigeration house set is larger than a preset threshold value, if so, taking the first refrigeration house set as a target refrigeration house set, if not, determining a second refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the second refrigeration house set is a combined refrigeration house set, and taking the first refrigeration house set and the second refrigeration house set as target refrigeration house set.
For example, firstly, extracting the variety attribute of the product, and if the variety attribute of the target product is seafood freezing, only screening out a refrigerator capable of freezing seafood; then, according to the stored environmental condition information, further screening is performed, which are the refrigerators satisfying the space required by the target product? What are the refrigerators satisfying the time of use? According to the problems, intelligent primary screening is carried out on the refrigeration house. In a specific embodiment, the above functions may be implemented by an intelligent engine.
In the embodiment of the present application, performing fine discharge on the target refrigeration house set according to the screening priority, and obtaining the target refrigeration house set includes: and determining the weight of each piece of priority attribute information according to the priority sequence information, evaluating the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the weight, and sequencing the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the evaluation result to determine the target refrigeration house set.
In order to improve the screening capability of the refrigeration house, the refrigeration house is further required to be screened according to the screening priority input by a user. For example, the priority set by the user may be that the cost is higher than the score, and then the system automatically enumerates the cost and the score corresponding to each refrigeration house scheme, wherein the cost of the refrigeration house scheme is the sum of the refrigeration house storage cost and the transportation cost, the higher the unit storage cost is, the higher the refrigeration house storage cost is, the longer the transportation distance is, the higher the transportation cost is, each priority is mapped with the weight of the refrigeration house scheme, and according to the weight, each refrigeration house scheme can be evaluated to obtain the optimal refrigeration house scheme, so that the fine screening of the refrigeration house set is realized. After finishing the fine screening, the method also needs to sort to obtain the target number of refrigeration house schemes, and recommend the refrigeration house schemes to users, so that the users can conveniently select proper refrigeration houses for leasing.
Step 3, displaying the target refrigeration house set for confirmation of a user;
and displaying the target freezer user set through a user interface, so that the user can confirm conveniently.
Step 4, when a user's freezer confirming instruction is detected, determining a target freezer according to the freezer confirming instruction, and generating a target warehousing order corresponding to the target freezer;
and 5, controlling the target refrigeration house according to the target warehouse-in order.
In the embodiment of the application, the target warehouse entry order comprises storage environment information of the target product.
Specifically, managing and controlling the target refrigeration house according to the target warehouse entry order comprises: determining a target storage area from the target refrigeration house according to the storage environment condition information of the target product, locking the target storage area, and modifying the state of the warehousing and order taking into waiting for warehousing; before the start of the warehouse utilization time, detecting whether the target storage area meets the storage environment condition information, if so, modifying the state of the warehouse-in order to be warehouse-in, if not, modifying the state of the warehouse-in order to be warehouse-out, and generating alarm information; after the product is put in storage, detecting whether the real-time storage environment condition information of the product is consistent with the storage environment condition information in the put-in-storage order, if so, modifying the state of the put-in-storage order into put-in-storage, otherwise, modifying the state of the put-in-storage order into put-in-storage failure, and generating alarm information; after the warehouse time is finished, detecting whether the target storage area stores the target product or not, if not, generating a fee list, and if not, generating a warehouse entry pair continuous order.
The state of the refrigeration house can be detected for a period of time before the storage, other objects are prevented from being stored in the corresponding area or the corresponding area is prevented from being broken down during the storage, the storage products can be detected during the storage, incomplete storage of the products or error information of the storage products and the like are prevented, the state of the refrigeration house can be detected during the delivery of the refrigeration house, the conditions of incomplete delivery and the like are prevented, dynamic tracking of the user target products entering and exiting the refrigeration house can be realized through target storage and abutting orders, and convenience is brought to the renter and the renter to check.
In summary, according to the intelligent management method for the refrigeration house clusters, after the target warehousing orders of the users are obtained, analysis and matching can be carried out according to the basic information of the products of the target warehousing orders, the target refrigeration houses required by the users can be flexibly and accurately screened out, dynamic tracking can be carried out on the condition that the target products enter and exit the target refrigeration houses, and convenience is brought to the users to check. The application solves the problems that the existing refrigeration house cannot be managed in a centralized way, basic information sharing of the refrigeration house is lacking, and tenants cannot quickly find out a proper refrigeration house.
Example 2
As shown in fig. 2, an embodiment of the present application provides an intelligent management system for a refrigerator cluster, including: the system comprises an acquisition module, a screening module and a storage module, wherein the acquisition module is used for acquiring a target storage order of a user and a screening priority corresponding to the target storage order, and the target storage order comprises product basic information of a target product to be stored; the analysis module is used for carrying out analysis and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and carrying out fine discharge on the target refrigeration house set according to the screening priority to obtain a target refrigeration house set; the display module is used for displaying the target refrigeration house set for a user to confirm; the order generation module is used for determining a target refrigeration house according to the refrigeration house confirmation instruction when detecting the refrigeration house confirmation instruction of a user and generating a target warehousing order corresponding to the target refrigeration house; and the order management and control module is used for managing and controlling the target refrigeration house according to the target warehouse-in order.
It should be understood that, for the same inventive concept, the intelligent management system for a refrigeration house cluster provided by the embodiment of the present application and the intelligent management method for a refrigeration house cluster provided by the foregoing embodiment may refer to the foregoing embodiment for more specific working principles of each module in the embodiment of the present application.
Example 3
On the basis of the embodiment, the intelligent management system for the refrigeration house clusters provided by the embodiment of the application further comprises an information module, a refrigeration house logistics module, a data statistics module, a refrigeration house query module, an opinion feedback module, an order query module, an ex-warehouse query module, a warehouse query module, an inventory query module and other functional modules.
The information module can be used for checking policies, real-time hotspots, article information and the like of the cold chain industry in real time; checking cold chain vehicle information through a cold storage logistics module, and reserving the cold chain vehicle; the data statistics module can be used for checking the data such as the price quotation of the refrigerator rentals in the part of the country; the basic information, detailed information and the like of the selected refrigeration house, the nearby refrigeration houses, the new refrigeration houses, the good placard and the like can be inquired through the refrigeration house inquiring module.
By adopting the method, the cluster management function of the refrigeration house can be further improved, and the management efficiency of the refrigeration house is improved.
The embodiment of the application also provides electronic equipment for implementing the intelligent management method of the refrigeration house clusters, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the steps in any one of the method embodiments through the computer program.
Alternatively, in this embodiment, the electronic device may be located in at least one network device of a plurality of network devices of the computer network.
Alternatively, as will be appreciated by those skilled in the art, the electronic device may also be a smart phone (e.g., an Android phone, iOS phone, etc.), a tablet computer, a palmtop computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, etc.
The memory may be used to store software programs and modules, such as program instructions/modules corresponding to the warehouse recommendation method and apparatus in the embodiments of the present application, and the processor executes the software programs and modules stored in the memory, thereby executing various functional applications and data processing, that is, implementing the warehouse recommendation method described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory remotely located with respect to the processor, the remote memory being connectable to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory may be used for information such as warehouse element information, commodity element information, knowledge graph, etc. As an example, in addition, other module units in the warehouse recommendation device may be further included, but are not limited to, and are not described in detail in this example.
Further, the present application also provides a computer readable storage medium having a computer program stored therein, wherein the computer program is configured to perform the steps of any of the method embodiments described above when run.
Alternatively, in this embodiment, it will be understood by those skilled in the art that all or part of the steps in the methods of the above embodiments may be performed by a program for instructing a terminal device to execute the steps, where the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.

Claims (10)

1. The intelligent management method for the refrigerator clusters is characterized by comprising the following steps of:
acquiring a target warehousing order of a user and a screening priority corresponding to the target warehousing order, wherein the target warehousing order comprises product basic information of a target product to be warehoused;
analyzing and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and finely arranging the target refrigeration house set according to the screening priority to obtain a target refrigeration house set;
displaying the target refrigeration house set for a user to confirm;
when a user's freezer confirming instruction is detected, determining a target freezer according to the freezer confirming instruction, and generating a target warehousing and docking order corresponding to the target freezer;
and controlling the target refrigeration house according to the target warehousing and docking order.
2. The method for intelligently managing a refrigeration house cluster according to claim 1, wherein before obtaining the target warehouse-in order of the user and the screening priority corresponding to the target warehouse-in order of the user comprises: and creating a cold storage database in advance, and updating data in the cold storage database in real time.
3. The intelligent management method of a refrigeration house cluster according to claim 1, wherein the product basic information of the target product comprises at least one of the following: the variety attribute of the target product and the storage environment condition information of the target product; the storage environment condition information of the target product comprises at least one of the following: the space size of the space required by the target product, the total weight of the target product, the warehouse time period of the target product and the storage temperature of the target product; the filtering priority includes priority sequence information and priority attribute information, wherein the priority attribute information includes at least one of the following: cost, distance, score.
4. The intelligent management method of a freezer cluster according to claim 3, wherein the determining a target freezer set satisfying the product basic information from a freezer database by performing analysis matching according to the product basic information comprises:
determining the type of the refrigeration house according to the variety attribute of the target product;
determining a first refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the first refrigeration house set is a single refrigeration house set, judging whether a threshold value of the number of the single refrigeration houses in the first refrigeration house set is larger than a preset threshold value, if so, taking the first refrigeration house set as a target refrigeration house set, if not, determining a second refrigeration house set from the refrigeration house types according to the storage environment condition information, wherein the second refrigeration house set is a combined refrigeration house set, and taking the first refrigeration house set and the second refrigeration house set as target refrigeration house set.
5. The intelligent management method of a freezer cluster according to claim 4, wherein finely arranging the target freezer set according to the screening priority comprises:
and determining the weight of each piece of priority attribute information according to the priority sequence information, evaluating the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the weight, and sequencing the single refrigeration house and/or the combined refrigeration house in the target refrigeration house set according to the evaluation result to determine the target refrigeration house set.
6. The intelligent management method of a refrigeration house cluster according to claim 5, wherein said target warehouse entry order comprises storage environment information of said target product.
7. The intelligent management method of a freezer cluster according to claim 6, wherein managing the target freezer according to the target warehouse entry order comprises:
determining a target storage area from the target refrigeration house according to the storage environment condition information of the target product, locking the target storage area, and modifying the state of the warehousing and order taking into waiting for warehousing;
before the start of the warehouse utilization time, detecting whether the target storage area meets the storage environment condition information, if so, modifying the state of the warehouse-in order to be warehouse-in, if not, modifying the state of the warehouse-in order to be warehouse-out, and generating alarm information;
after the product is put in storage, detecting whether the real-time storage environment condition information of the product is consistent with the storage environment condition information in the put-in-storage order, if so, modifying the state of the put-in-storage order into put-in-storage, otherwise, modifying the state of the put-in-storage order into put-in-storage failure, and generating alarm information;
after the warehouse time is finished, detecting whether the target storage area stores the target product or not, if not, generating a fee list, and if not, generating a warehouse entry pair continuous order.
8. An intelligent management system for a refrigerator cluster, comprising:
the system comprises an acquisition module, a screening module and a storage module, wherein the acquisition module is used for acquiring a target storage order of a user and a screening priority corresponding to the target storage order, and the target storage order comprises product basic information of a target product to be stored;
the analysis module is used for carrying out analysis and matching according to the basic information of the product, determining a target refrigeration house set meeting the basic information of the product from a refrigeration house database, and carrying out fine discharge on the target refrigeration house set according to the screening priority to obtain a target refrigeration house set;
the display module is used for displaying the target refrigeration house set for a user to confirm;
the order generation module is used for determining a target refrigeration house according to the refrigeration house confirmation instruction when detecting the refrigeration house confirmation instruction of a user and generating a target warehousing order corresponding to the target refrigeration house;
and the order management and control module is used for managing and controlling the target refrigeration house according to the target warehouse-in order.
9. A computer-readable storage medium comprising a stored program, characterized in that the program, when run, performs the method of any one of claims 1 to 7.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 7 by means of the computer program.
CN202310585049.7A 2023-05-23 2023-05-23 Intelligent management method and system for freezer clusters Pending CN116934197A (en)

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