CN117010782A - Goods storage method, device, computer equipment and storage medium - Google Patents
Goods storage method, device, computer equipment and storage medium Download PDFInfo
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- CN117010782A CN117010782A CN202311087356.9A CN202311087356A CN117010782A CN 117010782 A CN117010782 A CN 117010782A CN 202311087356 A CN202311087356 A CN 202311087356A CN 117010782 A CN117010782 A CN 117010782A
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- 238000000034 method Methods 0.000 title claims abstract description 76
- 235000012055 fruits and vegetables Nutrition 0.000 claims abstract description 216
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 claims description 47
- 239000005977 Ethylene Substances 0.000 claims description 47
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 35
- 230000007613 environmental effect Effects 0.000 claims description 21
- 238000001514 detection method Methods 0.000 claims description 16
- 230000008859 change Effects 0.000 claims description 12
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 10
- 230000001737 promoting effect Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 abstract description 25
- 230000001105 regulatory effect Effects 0.000 abstract description 7
- 230000005070 ripening Effects 0.000 description 18
- 239000007789 gas Substances 0.000 description 12
- 238000004321 preservation Methods 0.000 description 10
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 8
- 241000234295 Musa Species 0.000 description 7
- 235000021015 bananas Nutrition 0.000 description 7
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 5
- 230000002028 premature Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 239000001569 carbon dioxide Substances 0.000 description 4
- 238000005286 illumination Methods 0.000 description 4
- 230000035800 maturation Effects 0.000 description 4
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 235000004936 Bromus mango Nutrition 0.000 description 1
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 1
- 240000007228 Mangifera indica Species 0.000 description 1
- 235000014826 Mangifera indica Nutrition 0.000 description 1
- 244000183278 Nephelium litchi Species 0.000 description 1
- 240000003768 Solanum lycopersicum Species 0.000 description 1
- 235000009184 Spondias indica Nutrition 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000003301 hydrolyzing effect Effects 0.000 description 1
- 230000010198 maturation time Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
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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
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Abstract
The application relates to a cargo storage method, a cargo storage device, a computer device and a storage medium. The method comprises the following steps: detecting the current maturity of fruit and vegetable goods in a goods storage library; when receiving shipment information corresponding to the fruit and vegetable goods, determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity, and adjusting storage environments of the transportation storage space to which the target goods belong according to the target environment parameters when the target goods are in a transportation state, wherein the target environment parameters are used for prompting the maturity of the fruit and vegetable goods when being stored to a preset destination to be the target maturity, so that the maturity of the fruit and vegetable goods can be regulated and controlled in the transportation process of the fruit and vegetable goods, and the target maturity can be achieved when the fruit and vegetable goods are transported to the preset destination, and therefore the storage cost of the preset destination is saved.
Description
Technical Field
The present application relates to the field of cargo storage technologies, and in particular, to a cargo storage method, a cargo storage device, a computer device, and a storage medium.
Background
With the development of the Internet, the intelligent data analysis technology is also applied in the logistics transportation field to automatically generate a shipment order according to purchase information, so that the manual shipment cost is reduced, and the shipment efficiency is improved. However, when the shipment goods are of fruits and vegetables, the existing logistics storage warehouse can only store the fruits and vegetables at low temperature, so that the storage duration of the fruits and vegetables is prolonged as much as possible, namely, the maturity of the fruits and vegetables is restrained, when the fruits and vegetables are required to be transported, the fruits and vegetables to be ripened are usually transported to a destination in advance and then are stored and ripened, and then are sold, but the storage of the fruits and vegetables at the destination requires additional cost and storage cost, namely, the conventional fruits and vegetables storage mode cannot regulate the maturity of the fruits and vegetables in the transportation process of the fruits and vegetables, the fruits and vegetables cannot be directly sold when transported to the destination, and the storage cost of the link of sales is increased.
Disclosure of Invention
The application provides a goods storage method, a device, computer equipment and a storage medium, which are used for solving the technical problem that the maturity of goods to be delivered can not be regulated and controlled according to the order of the goods to be delivered in the existing logistics storage warehouse.
In a first aspect, the present application provides a method for storing goods, the method comprising:
detecting the current maturity of fruit and vegetable goods in a goods storage library;
when receiving shipment information corresponding to the fruit and vegetable goods, determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity;
when the target goods are in a transportation state, the storage environment of the transportation storage space to which the target goods belong is adjusted according to the target environment parameters, wherein the target environment parameters are used for prompting the maturity of the fruit and vegetable goods when the fruit and vegetable goods are stored to a preset destination to be the target maturity.
In a second aspect, the present application provides a cargo storage device, the device comprising:
the detection module is used for detecting the current maturity of the fruit and vegetable goods in the goods storage library;
the determining module is used for determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity when the shipment information corresponding to the fruit and vegetable goods is received;
the adjusting module is used for adjusting the storage environment of the transportation storage space to which the target goods belong according to the target environment parameters when the target goods are in a transportation state, wherein the target environment parameters are used for promoting the maturity of the fruit and vegetable goods stored to a preset destination to be the target maturity.
In a third aspect, the present application provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above-described cargo storage method when executing the computer program.
In a fourth aspect, the present application also provides a computer storage medium storing computer-executable instructions for performing the above-described cargo storage method.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: according to the method provided by the embodiment of the application, the current maturity of fruit and vegetable goods in the goods storage warehouse is detected; when receiving shipment information corresponding to the fruit and vegetable goods, determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity, namely screening the target goods to be transported and storage conditions of the target goods in the transportation process from the fruit and vegetable goods, and adjusting the storage environment of the transportation storage space to which the target goods belong according to the target environment parameters when the target goods are in a transportation state, wherein the target environment parameters are used for prompting the maturity of the fruit and vegetable goods when being stored to a preset destination to be the target maturity, so that the maturity of the fruit and vegetable goods can be regulated and controlled in the transportation process of the fruit and vegetable goods to reach the target maturity when being transported to the preset destination, and the storage and ripening of the fruit and vegetable goods do not need to be carried out at the preset destination, and the fruit and vegetable goods can be directly sold, thereby saving the storage cost of the preset destination.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
FIG. 1 is a schematic diagram of a cargo storage system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a cargo storing method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a cargo storing method according to an embodiment of the present application;
FIG. 4 is a block diagram of a cargo storage device according to an embodiment of the present application;
fig. 5 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following disclosure provides many different embodiments, or examples, for implementing different structures of the application. In order to simplify the present disclosure, components and arrangements of specific examples are described below. They are, of course, merely examples and are not intended to limit the application. Furthermore, the present application may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
FIG. 1 is a diagram of an application environment for a method of cargo storage in one embodiment. Referring to fig. 1, the cargo storage method is applied to a cargo storage system. The cargo storage system comprises a cloud processor 110, a mobile device 120, an information input device 160, an environment parameter control device 150 and various detection devices 140. The cloud processor 110 and the mobile device 120 establish communication connection with the monitoring device and the environmental parameter control device 150 through the 4G transceiver 130, and the cloud processor 110 is in communication connection with the mobile device 120. The mobile device 120 includes a transportation device for transporting fruit and vegetable goods and a mobile terminal including at least one of a mobile phone, a tablet computer, a notebook computer, and the like.
The various detecting devices 140 include a camera, a temperature sensor, a humidity sensor, a gas sensor, a weight sensor, a light sensor, etc., that is, the sensor in fig. 1 is used for indicating the detecting device 140 and detecting the environmental parameter of the storage space to which the fruit and vegetable goods belong. The detection device 140 is communicatively coupled to the cloud processor 110. The cloud processor 110 may be implemented by a separate cloud processor 110 or a cloud processor 110 cluster composed of a plurality of cloud processors 110.
The environmental parameter control device 150 includes a temperature control device, a gas concentration control device, a humidity control device, an illumination control device, etc., where the temperature control device is used for controlling the environmental temperature, and may be specifically a refrigeration device; the gas concentration control device is used for regulating and controlling the gas concentration in the environment and can be specifically an ethylene removal device; the humidity control device is used for regulating and controlling the ambient humidity, and the illumination control device is used for regulating and controlling the ambient illumination intensity.
In one embodiment, fig. 2 is a flow chart of a cargo storing method according to one embodiment, and referring to fig. 2, a cargo storing method is provided. The embodiment is mainly exemplified by the method applied to the cloud processor 110 in fig. 1, and the method for storing goods specifically includes the following steps:
step S210, detecting the current maturity of the fruit and vegetable goods in the goods storage library.
Specifically, the goods storage warehouse is used for storing fruit and vegetable goods to be transported of different varieties, in order to aim at the mature catalysis relationship between the fruit and vegetable goods of different varieties, a plurality of storage spaces are divided in the goods storage warehouse, the fruit and vegetable goods of the same or different varieties of the goods can be placed in the same storage space according to actual demands, and the environment parameter control device 150 and the detection device 140 are arranged in each storage space.
The current maturity of the fruit and vegetable goods can be determined through the data collected by the detection device 140 in the storage space, the current maturity of the fruit and vegetable goods is inversely related to the corresponding longest preservation time, and the longest preservation time refers to the time when the fruit and vegetable goods are preserved in the goods storage warehouse from the current moment to the complete maturity, namely, the longer the corresponding longest preservation time is when the current maturity of the fruit and vegetable goods is lower, and conversely, the shorter the corresponding longest preservation time is when the current maturity of the fruit and vegetable goods is higher.
Step S220, when receiving shipment information corresponding to the fruit and vegetable goods, determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity.
Specifically, the shipment information includes a cargo variety to be transported, a shipment time, a transportation time, a preset destination, and a target maturity, where the transportation time refers to a time spent in transporting the fruit and vegetable cargo to be transported from the cargo storage to the preset destination, and the target maturity is used to indicate a maturity of the fruit and vegetable cargo required to be transported by a customer when the fruit and vegetable cargo is transported to the preset destination, for example, in order to make the fruit and vegetable cargo be in an optimal tasting state when the consumer receives the cargo, the target maturity is generally set to 80% -90%, so that the fruit and vegetable cargo can be directly sold after reaching the preset destination without storing ripening. However, for fruit and vegetable goods of different goods varieties and different sales demands, the target maturity can be customized.
When the shipment information is known, the target goods to be transported can be screened out from the fruit and vegetable goods according to the shipment information and the current maturity, and the target environment parameters corresponding to the target goods are determined, wherein the target environment parameters refer to the environment parameters of the transport storage space of the target goods in the transport process.
And step S230, when the target goods are in a transportation state, adjusting the storage environment of the transportation storage space to which the target goods belong according to the target environment parameters, wherein the target environment parameters are used for promoting the maturity of the fruit and vegetable goods stored to a preset destination to be the target maturity.
Specifically, whether the target cargo is in a transportation state or not can be determined through the position information of the target cargo, and if the position information of the target cargo is not the space identifier of the corresponding storage space and the position information is dynamically changed, the target cargo is indicated to be in the transportation state. Or determining the transportation state of the target goods through the scanning result of the attached label, wherein the attached label comprises the goods information of the target goods, the attached label is realized by adopting NFC labels, bar codes, two-dimensional codes and the like, the scanning result of the attached label is scanning out of the warehouse when the attached label is out of the warehouse, the scanning result of the attached label is scanning in the warehouse when the attached label is in the warehouse, the scanning result of the attached label is scanning in the warehouse, and the transportation state of the target goods can be determined when the scanning result of the attached label is scanning in the warehouse.
When the target goods are in a transportation state, the storage environment of the transportation storage space to which the target goods belong is adjusted according to the target environment parameters, the target environment parameters are used for enabling the maturity of the fruit and vegetable goods when the fruit and vegetable goods are stored to a preset destination to be the target maturity, the maturity of the fruit and vegetable goods can be regulated and controlled in the transportation process of the fruit and vegetable goods, the fruit and vegetable goods can reach the target maturity when transported to the preset destination, the storage ripening is not needed to be carried out again at the preset destination, and the fruit and vegetable goods can be directly sold, so that the storage cost at the preset destination is saved.
In one embodiment, the detecting the current maturity of the fruit and vegetable goods in the goods storage library comprises:
the ethylene release amount and the respiration intensity of the fruit and vegetable goods in the goods storage warehouse are detected regularly according to a preset period;
and determining the current maturity of the fruit and vegetable goods according to the ethylene release amount and the respiration intensity.
Specifically, the preset period may be set in a user-defined manner according to an actual application scenario, for example, 10 minutes, 30 minutes, 1 hour, etc. Since fruit and vegetable goods of each goods variety are different in the course of ripening, the curves of respiration intensity and ethylene release amount with time are different. Ethylene can increase the permeability of cells, strengthen the internal oxidation process, promote respiration and play an important role in the maturation process of fruit and vegetable goods. Therefore, the maturity of the fruit and vegetable goods is closely related to the release amount of ethylene and the respiration intensity. Whether it is a fruit of the jump-type or a fruit of the non-jump-type, its ethylene release and respiration intensity increase with increasing maturity before full ripening. The maturity can then be determined by measuring the amount of ethylene released and the strength of respiration.
In one embodiment, the method for periodically detecting the ethylene release of the fruit and vegetable goods in the goods storage warehouse according to a preset period comprises the following steps:
periodically detecting the ozone content provided for the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period, wherein the ozone content is used for enabling the ethylene concentration in the storage space of the fruit and vegetable goods to be smaller than or equal to the preset ethylene concentration in the preset period;
and determining the product of the ozone content and a first preset value as the ethylene release amount of the fruit and vegetable goods, wherein the first preset value is the ratio of a first coefficient to a preset parameter value, and the preset parameter value is the product of the total warehousing weight of the fruit and vegetable goods and the corresponding duration of the preset period.
Specifically, in the warehouse process of fruit and vegetable goods, the ethylene concentration in the warehouse space to which the fruit and vegetable goods belong needs to be kept below a certain range, namely, the ethylene concentration in the warehouse space is kept to be smaller than or equal to the preset ethylene concentration, at the moment, the ethylene release amount in the preset period can be calculated by recording the ozone content required to be generated for keeping the ethylene concentration, and the calculation formula of the ethylene release amount is as follows:
Wherein e is the amount of ethylene released (uL/kg.h),is the total ozone generation amount in a preset period delta t, wherein delta t is used for indicating the corresponding duration of the preset period K 1 The first coefficient is the proportionality coefficient related to the ethylene release amount, m is the total warehousing weight of fruit and vegetable goods, namely the first preset value is K 1 And m and Deltat, wherein the preset parameter value is m.
In one embodiment, the method for detecting the respiration intensity of the fruit and vegetable goods in the goods storage library according to the preset period comprises the following steps:
periodically detecting the weight change value of the fruit and vegetable goods in the goods storage library according to a preset period;
and determining the product of the weight change value and a second preset value as the respiration intensity of the fruit and vegetable goods, wherein the second preset value is the ratio of a second coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
Specifically, the respiration in the ripening process is to absorb moisture, and the respiration intensity can be judged by measuring the weight change value delta m of fruit and vegetable goods, and the calculation formula of the respiration intensity is as follows:
wherein r is respiration intensity, K 2 The second preset value is K 2 And m and Deltat, wherein the preset parameter value is m.
In one embodiment, the method for detecting the respiration intensity of the fruit and vegetable goods in the goods storage library according to the preset period comprises the following steps:
periodically detecting the preset gas variation in the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period;
and determining the product of the preset gas variation and a third preset value as the respiration intensity of the fruit and vegetable goods, wherein the third preset value is the ratio of a third coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
Specifically, the ripening process of fruit and vegetable goods refers to the process of hydrolyzing macromolecular organic matters into micromolecular organic matters and discharging carbon dioxide, so that the ripening process can be calculated through the carbon dioxide content generated by ripening of the fruit and vegetable goods, namely, the preset gas variation in the storage space of the fruit and vegetable goods is detected, the preset gas variation refers to the carbon dioxide variation, and the calculation formula of the respiration intensity is as follows:
Wherein r is the respiration intensity (mg/kg.h),to preset the gas variation, K 3 The third preset value is K 3 And m and Deltat, wherein the preset parameter value is m.
The determining of the current maturity of the fruit and vegetable goods according to the ethylene release amount and the respiration intensity comprises the following specific steps: firstly, the ethylene release amount e (uL/kg.h), the respiration intensity r (mg/kg.h) and the initial cargo mass M of fruit and vegetable cargoes of various cargo varieties at different moments in the ripening process are recorded through experiments 0 Ethylene Release amount E at the end of full maturation max Respiration intensity R at final full maturation max Residual mass M at final full maturation 1 Obtaining a mass variation value, i.e. M, based on the difference between the initial cargo mass (corresponding to the total warehouse-in weight) and the residual mass 0 -M 1 =Δm. The maturity is calculated as follows:
wherein K is an influence factor of ethylene release amount and respiration intensity, K is a constant, deltam is a weight change value between the initial cargo weight of fruit and vegetable cargoes and the detected cargo weight at different moments, a maturity and time curve is drawn according to data recorded by experiments, and a final value of the influence factor K is obtained by comparing a plurality of groups of experiments.
Under the condition of K determination, substituting the weight change value delta m between the current calculated ethylene release e, respiration intensity r, warehouse-in total weight and the current total weight of fruit and vegetable goods into the maturity calculation formula to calculate the current maturity.
Based on the time distance between the position of the current maturity in the maturity and time curve and the complete maturity position, the longest preservation time of the fruit and vegetable goods corresponding to the current maturity in the goods storage library can be predicted.
In one embodiment, when receiving shipment information corresponding to the fruit and vegetable goods, determining a target goods in the fruit and vegetable goods and a target environmental parameter corresponding to the target goods according to the shipment information and the current maturity comprises:
when receiving shipment information corresponding to the fruit and vegetable goods, determining shipment maturity corresponding to the fruit and vegetable goods according to shipment time, transportation duration and target maturity in the shipment information;
taking the fruit and vegetable goods with the value smaller than or equal to the current maturity of the shipment maturity as target goods;
and when the time interval between the shipment time and the current time is smaller than or equal to a preset interval, determining a target environment parameter corresponding to the target cargo according to the target maturity, the transportation time length, the current maturity and the cargo quality corresponding to the target cargo.
Specifically, the target maturity is noted as mat 0 Inquiring the maturity increment corresponding to fruit and vegetable goods of each goods variety according to the storage condition of the natural transportation storage space according to the transportation time length, subtracting the maturity increment from the target maturity to obtain the shipment maturity, and recording the shipment maturity as mat 1 The maturity of the fruit and vegetable goods in the transportation process is eliminated, and the highest maturity meeting the shipping standard is obtained. If the maturity of the fruit and vegetable goods is ensured to be the target maturity when the fruit and vegetable goods are transported to the preset destination, the maturity of the fruit and vegetable goods when the fruit and vegetable goods are delivered is required to be smaller than or equal to the delivery maturity, and if the maturity of the fruit and vegetable goods when the fruit and vegetable goods are delivered is greater than the delivery maturity, the maturity of the fruit and vegetable goods when the fruit and vegetable goods are transported to the preset destination is possibly greater than the target maturity, and the phenomenon of overmaturity occurs.
In order to avoid over-ripening when the fruit and vegetable goods are transported to a preset destination, the fruit and vegetable goods with the current maturity less than or equal to the shipment maturity are selected as target goods to be transported, namely the fruit and vegetable goods with the current maturity greater than the shipment maturity are not transported. Considering that the fruit and vegetable goods with high maturity are more difficult to continuously store and need to be delivered with priority as much as possible, selecting the fruit and vegetable goods with the maximum current maturity corresponding to the batch of fruit and vegetable goods with the maximum value from a plurality of current maturity values which are less than or equal to the delivery maturity as target goods, namely preferentially sending the fruit and vegetable goods with high maturity and high storage difficulty.
If the time interval between the shipment time and the current time is smaller than or equal to the preset interval, which means that the storage time of the target goods in the goods storage library is shorter, the shipment of the target goods is carried out quickly, the environmental parameters of the storage space of the target goods in the goods storage library are not adjusted, the first premature date of the target goods is obtained according to the difference between the first premature time and the transportation time required for the current maturity of the target goods to develop to the target maturity, and then the corresponding target environmental parameters are inquired in the ripening data table according to the goods varieties and the first premature date of the target goods.
For example, the ripening data table is shown below:
TABLE 1
The method can inquire the target environment parameters corresponding to the target goods from the data table, adjust the environment parameters of the transport storage space of the target goods in the transport process according to the target environment parameters, and then achieve ripening treatment of different degrees of the target goods in the transport process, so that the maturity of the target goods when reaching a preset destination is the target maturity.
In one embodiment, after taking the fruit and vegetable goods corresponding to the current maturity with a value less than or equal to the shipment maturity as the target goods, the method further includes:
When the time interval between the shipment time and the current time is larger than a preset interval, determining storage environment parameters corresponding to the target goods according to the time interval between the shipment time and the current time, the shipment maturity and the current maturity and the goods quality corresponding to the target goods;
and adjusting the storage environment of the storage space of the target goods in the goods storage warehouse according to the storage environment parameters, wherein the storage environment parameters are used for promoting the maturity of the target goods at the delivery time to be the delivery maturity.
Specifically, if the time interval between the shipment time and the current time is greater than the preset interval, which indicates that the target cargo needs to be stored in the cargo storage library for a period of time before shipment, then, in order to enable the maturity of the target cargo to reach the shipment maturity when shipment, according to the difference between the second maturity time required for the development of the current maturity of the target cargo to the shipment maturity and the interval time, the second premature day of the target cargo is obtained, the interval time is the corresponding time interval between the shipment time and the current time, and the corresponding storage environment parameter is queried in the ripening data table according to the cargo variety of the target cargo and the second premature day. According to the environmental parameters of the storage space of the target goods in the goods storage warehouse, the ripening treatment of the target goods with different degrees can be realized in the storage process by adjusting the environmental parameters of the storage space of the target goods, so that the ripening degree of the target goods in the delivery process is the delivery ripening degree, namely, the target goods are subjected to pre-ripening treatment in the storage process.
In one embodiment, before the detecting the current maturity of the fruit and vegetable goods in the goods storage, the method further comprises:
when the warehousing of the fruit and vegetable goods is detected, identifying and storing the goods warehousing information corresponding to the fruit and vegetable goods, wherein the goods warehousing information comprises the quality of the goods, the warehousing time and the warehousing total weight;
and adjusting the environmental parameters of the storage space to which the fruit and vegetable goods belong according to the goods storage information.
Specifically, when fruit and vegetable goods are put in storage, information such as the storage time, the goods variety, the total storage weight and the like of the fruit and vegetable goods are identified and recorded, and the goods variety can be vegetables or fruits such as bananas, mangoes, tomatoes, litchis and the like. According to the goods warehouse-in information of the fruit and vegetable goods, the environment parameters stored in the goods storage warehouse of the fruit and vegetable goods are adjusted in a targeted mode so as to meet the preservation requirements of the fruit and vegetable goods of different varieties.
In one embodiment, the detecting the current maturity of the fruit and vegetable goods in the goods storage library comprises:
acquiring a cargo image of the fruit and vegetable cargo in the cargo storage library;
and determining the current maturity of the fruit and vegetable goods according to the identification result of the goods image.
Specifically, the current maturity of the fruit and vegetable goods can be calculated by the method for calculating the respiration intensity and the ethylene release amount, and the current maturity of the fruit and vegetable goods can be detected by identifying the goods image of the fruit and vegetable goods by an image identification technology.
In one embodiment, after the detecting the current maturity of the fruit and vegetable goods in the goods repository, the method further comprises:
taking the fruit and vegetable goods corresponding to the current maturity with the value larger than or equal to the preset maturity as marked goods;
and generating and outputting the matured excessive information corresponding to the marked goods.
Specifically, the fruit and vegetable goods corresponding to the current maturity with the numerical value being greater than or equal to the preset maturity show that the fruit and vegetable goods are ripe or excessively ripe, the fruit and vegetable goods are required to be sold and processed as soon as possible, the fruit and vegetable goods are not suitable for continuous storage, and the situation that the fruit and vegetable goods are excessively ripe and wasted due to continuous storage is avoided, so that the fruit and vegetable goods are used as marked goods, and the ripe excessive information corresponding to the marked goods is generated and output, so that a user is prompted to process the marked goods as soon as possible, the storage space of a goods storage warehouse can be saved, and property loss caused by excessive ripe and wasted marked goods can be avoided.
In a specific embodiment, as shown in fig. 3, information of the warehousing time, the cargo variety and the weight of the fruits and vegetables is recorded when the fruits and vegetables are warehoused, a good preservation environment is created for the fruits and vegetables by using a refrigerating device, a humidifier and an ethylene removing device in the storage process, and an ELM neural network ethylene monitoring calibration model is built by comprehensively considering the influence of temperature and humidity variation on the basis of an inherent voltage signal of an ethylene electrochemical sensor, so that the self-adaptive calibration of ethylene monitoring is realized, and the accuracy of ethylene concentration control is improved. And the operating power of the ethylene removal device is monitored while the sensor is used for controlling the environmental parameters of the cargo storage, the data is uploaded to the cloud end through the 4G module, and the respiration intensity and the ethylene release amount of the cargo are calculated by combining the data with the data such as cargo weight change, carbon dioxide gas concentration change and the like. The current maturity of the fruit and vegetable goods is obtained by combining the variety and quality of the goods, and the predicted longest preservation time and real-time environmental parameters are sent to the mobile device 120, so that the user can observe the fruit and vegetable goods conveniently. Meanwhile, the goods which are excessively mature and are not suitable to be stored are marked, namely the goods are regarded as marked goods, and a user is prompted to deal with the goods as soon as possible.
When receiving shipment information, automatically analyzing the optimal shipment lot, and if the maturity of the shipment is low, giving out recommended target environmental parameters in the transportation process according to actual conditions by the system. Taking bananas as an example, if the bananas are preserved under the optimal preservation condition, the bananas will ripen after 5 days, and at the moment, if the bananas want to reach a preset destination after two days, the bananas can be directly used for sales, namely, if the bananas want to ripen three days in advance, the environment temperature is set to +2deg.C, the upper limit of ethylene concentration is set to +3mL/kg, and the upper limit of temperature is set to +15%. Ensuring the required maturity when the goods arrive, the setting parameters also need to be changed according to the transportation time. The longer the transport time, the closer the set parameters are to the optimal preservation conditions. This also reduces the transport power consumption and reduces costs.
When in warehouse entry, information such as the warehouse entry time, the weight, the type and the like of the goods is registered, and after the information is stored in an independent storage space, environment parameter values including temperature, humidity, ethylene, oxygen concentration and the like are automatically set according to the information of the goods. In the storage process, the intensity and maturity stage of the respiration of the goods are judged according to the weight change of the goods, the longest storage time is predicted, and a user adjusts the sales strategy according to the result. An alarm is raised when a jump in ethylene concentration occurs. Further, on the premise of knowing the time of delivering a customer to a warehouse and the time of transporting the customer, goods are stored according to targeted environmental parameters, such as temperature and humidity, illumination and the like, and the maturation time is accurately controlled. The goods can be directly sold after being obtained, and the storage expense in the link of selling can be saved.
Fig. 2 and 3 are flow diagrams of a cargo storing method according to an embodiment. It should be understood that, although the steps in the flowcharts of fig. 2 and 3 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2, 3 may comprise a plurality of sub-steps or phases, which are not necessarily performed at the same time, but may be performed at different times, nor does the order of execution of the sub-steps or phases necessarily follow one another, but may be performed alternately or alternately with at least a portion of the sub-steps or phases of other steps or other steps.
In one embodiment, as shown in FIG. 4, there is provided a cargo storage device comprising:
the detection module 310 is configured to detect a current maturity of fruit and vegetable cargoes in the cargo repository;
the determining module 320 is configured to determine, when receiving shipment information corresponding to the fruit and vegetable goods, a target goods in the fruit and vegetable goods and a target environmental parameter corresponding to the target goods according to the shipment information and the current maturity;
The adjusting module 330 is configured to adjust, when the target cargo is in a transportation state, a storage environment of a transportation storage space to which the target cargo belongs according to the target environment parameter, where the target environment parameter is used to cause a maturity of the fruit and vegetable cargo when the fruit and vegetable cargo is stored to a preset destination to be a target maturity.
In one embodiment, the detection module 310 is further configured to:
the ethylene release amount and the respiration intensity of the fruit and vegetable goods in the goods storage warehouse are detected regularly according to a preset period;
and determining the current maturity of the fruit and vegetable goods according to the ethylene release amount and the respiration intensity.
In one embodiment, the detection module 310 is further configured to:
periodically detecting the ozone content provided for the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period, wherein the ozone content is used for enabling the ethylene concentration in the storage space of the fruit and vegetable goods to be smaller than or equal to the preset ethylene concentration in the preset period;
and determining the product of the ozone content and a first preset value as the ethylene release amount of the fruit and vegetable goods, wherein the first preset value is the ratio of a first coefficient to a preset parameter value, and the preset parameter value is the product of the total warehousing weight of the fruit and vegetable goods and the corresponding duration of the preset period.
In one embodiment, the detection module 310 is further configured to:
periodically detecting the weight change value of the fruit and vegetable goods in the goods storage library according to a preset period;
and determining the product of the weight change value and a second preset value as the respiration intensity of the fruit and vegetable goods, wherein the second preset value is the ratio of a second coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
In one embodiment, the detection module 310 is further configured to:
periodically detecting the preset gas variation in the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period;
and determining the product of the preset gas variation and a third preset value as the respiration intensity of the fruit and vegetable goods, wherein the third preset value is the ratio of a third coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
In one embodiment, the determining module 320 is further configured to:
when receiving shipment information corresponding to the fruit and vegetable goods, determining shipment maturity corresponding to the fruit and vegetable goods according to shipment time, transportation duration and target maturity in the shipment information;
Taking the fruit and vegetable goods with the value smaller than or equal to the current maturity of the shipment maturity as target goods;
and when the time interval between the shipment time and the current time is smaller than or equal to a preset interval, determining a target environment parameter corresponding to the target cargo according to the target maturity, the transportation time length, the current maturity and the cargo quality corresponding to the target cargo.
In one embodiment, the adjustment module 330 is further configured to:
when the time interval between the shipment time and the current time is larger than a preset interval, determining storage environment parameters corresponding to the target goods according to the time interval between the shipment time and the current time, the shipment maturity and the current maturity and the goods quality corresponding to the target goods;
and adjusting the storage environment of the storage space of the target goods in the goods storage warehouse according to the storage environment parameters, wherein the storage environment parameters are used for promoting the maturity of the target goods at the delivery time to be the delivery maturity.
In one embodiment, the adjustment module 330 is further configured to:
When the warehousing of the fruit and vegetable goods is detected, identifying and storing the goods warehousing information corresponding to the fruit and vegetable goods, wherein the goods warehousing information comprises the quality of the goods, the warehousing time and the warehousing total weight;
and adjusting the environmental parameters of the storage space to which the fruit and vegetable goods belong according to the goods storage information.
In one embodiment, the detection module 310 is further configured to:
acquiring a cargo image of the fruit and vegetable cargo in the cargo storage library;
and determining the current maturity of the fruit and vegetable goods according to the identification result of the goods image.
In one embodiment, the detection module 310 is further configured to:
taking the fruit and vegetable goods corresponding to the current maturity with the value larger than or equal to the preset maturity as marked goods;
and generating and outputting the matured excessive information corresponding to the marked goods.
As shown in fig. 5, an embodiment of the present application provides a computer device, including a processor 711, a communication interface 712, a memory 713, and a communication bus 714, where the processor 711, the communication interface 712, and the memory 713 perform communication with each other through the communication bus 714;
a memory 713 for storing a computer program;
in one embodiment of the present application, the processor 711 is configured to implement the cargo storing method provided in any one of the foregoing method embodiments when executing the program stored in the memory 713.
It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the cargo storage device provided by the application may be implemented in the form of a computer program that is executable on a computer device as shown in FIG. 5. The memory of the computer device may store various program modules that make up the cargo storage device, such as the detection module 310, the determination module 320, and the adjustment module 330 shown in fig. 4. The computer program of each program module causes the processor to carry out the steps in the method for storing goods of each embodiment of the application described in the present specification.
The computer device shown in fig. 5 may perform the detection of the current maturity of the fruit and vegetable goods in the goods storage via the detection module 310 in the goods storage device as shown in fig. 4. The computer device may determine, by the determining module 320, a target cargo in the fruit and vegetable cargo and a target environmental parameter corresponding to the target cargo according to the shipment information and the current maturity when shipment information corresponding to the fruit and vegetable cargo is received. The computer device may execute, through the adjustment module 330, adjustment of a storage environment of the transportation storage space to which the target cargo belongs according to the target environmental parameter when the target cargo is in a transportation state, where the target environmental parameter is used to cause the maturity of the fruit and vegetable cargo when the fruit and vegetable cargo is stored to a preset destination to be the target maturity.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the cargo storage method provided by any of the method embodiments described above.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may be stored in a computer readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and include several instructions for causing a computer device (which may be a personal computer, a cloud processor 110, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "includes," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless an order of performance is explicitly stated. It should also be appreciated that additional or alternative steps may be used.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (13)
1. A method of storing goods, the method comprising:
detecting the current maturity of fruit and vegetable goods in a goods storage library;
when receiving shipment information corresponding to the fruit and vegetable goods, determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity;
when the target goods are in a transportation state, the storage environment of the transportation storage space to which the target goods belong is adjusted according to the target environment parameters, wherein the target environment parameters are used for prompting the maturity of the fruit and vegetable goods when the fruit and vegetable goods are stored to a preset destination to be the target maturity.
2. The method of claim 1, wherein detecting the current maturity of the fruit and vegetable cargo in the cargo repository comprises:
the ethylene release amount and the respiration intensity of the fruit and vegetable goods in the goods storage warehouse are detected regularly according to a preset period;
and determining the current maturity of the fruit and vegetable goods according to the ethylene release amount and the respiration intensity.
3. The method of claim 2, wherein periodically detecting the ethylene release of the fruit and vegetable cargo in the cargo store at a predetermined period comprises:
Periodically detecting the ozone content provided for the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period, wherein the ozone content is used for enabling the ethylene concentration in the storage space of the fruit and vegetable goods to be smaller than or equal to the preset ethylene concentration in the preset period;
and determining the product of the ozone content and a first preset value as the ethylene release amount of the fruit and vegetable goods, wherein the first preset value is the ratio of a first coefficient to a preset parameter value, and the preset parameter value is the product of the total warehousing weight of the fruit and vegetable goods and the corresponding duration of the preset period.
4. The method of claim 2, wherein periodically detecting the respiration intensity of the fruit and vegetable cargo in the cargo store at a predetermined period comprises:
periodically detecting the weight change value of the fruit and vegetable goods in the goods storage library according to a preset period;
and determining the product of the weight change value and a second preset value as the respiration intensity of the fruit and vegetable goods, wherein the second preset value is the ratio of a second coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
5. The method of claim 2, wherein periodically detecting the respiration intensity of the fruit and vegetable cargo in the cargo store at a predetermined period comprises:
periodically detecting the preset gas variation in the storage space of the fruit and vegetable goods in the goods storage warehouse according to a preset period;
and determining the product of the preset gas variation and a third preset value as the respiration intensity of the fruit and vegetable goods, wherein the third preset value is the ratio of a third coefficient to a preset parameter value, and the preset parameter value is the product of the warehousing total weight of the fruit and vegetable goods and the corresponding duration of the preset period.
6. The method of claim 1, wherein upon receiving shipment information corresponding to the fruit and vegetable good, determining a target good in the fruit and vegetable good and a target environmental parameter corresponding to the target good according to the shipment information and the current maturity comprises:
when receiving shipment information corresponding to the fruit and vegetable goods, determining shipment maturity corresponding to the fruit and vegetable goods according to shipment time, transportation duration and target maturity in the shipment information;
Taking the fruit and vegetable goods with the value smaller than or equal to the current maturity of the shipment maturity as target goods;
and when the time interval between the shipment time and the current time is smaller than or equal to a preset interval, determining a target environment parameter corresponding to the target cargo according to the target maturity, the transportation time length, the current maturity and the cargo quality corresponding to the target cargo.
7. The method of claim 6, wherein after taking as a target cargo the fruit and vegetable cargo corresponding to the current maturity value less than or equal to the shipment maturity, the method further comprises:
when the time interval between the shipment time and the current time is larger than a preset interval, determining storage environment parameters corresponding to the target goods according to the time interval between the shipment time and the current time, the shipment maturity and the current maturity and the goods quality corresponding to the target goods;
and adjusting the storage environment of the storage space of the target goods in the goods storage warehouse according to the storage environment parameters, wherein the storage environment parameters are used for promoting the maturity of the target goods at the delivery time to be the delivery maturity.
8. The method of claim 6, wherein prior to detecting the current maturity of the fruit and vegetable cargo in the cargo repository, the method further comprises:
when the warehousing of the fruit and vegetable goods is detected, identifying and storing the goods warehousing information corresponding to the fruit and vegetable goods, wherein the goods warehousing information comprises the quality of the goods, the warehousing time and the warehousing total weight;
and adjusting the environmental parameters of the storage space to which the fruit and vegetable goods belong according to the goods storage information.
9. The method of claim 1, wherein detecting the current maturity of the fruit and vegetable cargo in the cargo repository comprises:
acquiring a cargo image of the fruit and vegetable cargo in the cargo storage library;
and determining the current maturity of the fruit and vegetable goods according to the identification result of the goods image.
10. The method of claim 1, wherein after detecting the current maturity of the fruit and vegetable cargo in the cargo repository, the method further comprises:
taking the fruit and vegetable goods corresponding to the current maturity with the value larger than or equal to the preset maturity as marked goods;
and generating and outputting the matured excessive information corresponding to the marked goods.
11. A cargo storage device, the device comprising:
the detection module is used for detecting the current maturity of the fruit and vegetable goods in the goods storage library;
the determining module is used for determining target goods in the fruit and vegetable goods and target environment parameters corresponding to the target goods according to the shipment information and the current maturity when the shipment information corresponding to the fruit and vegetable goods is received;
the adjusting module is used for adjusting the storage environment of the transportation storage space to which the target goods belong according to the target environment parameters when the target goods are in a transportation state, wherein the target environment parameters are used for promoting the maturity of the fruit and vegetable goods stored to a preset destination to be the target maturity.
12. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 10 when the computer program is executed by the processor.
13. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 10.
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| CN202311087356.9A CN117010782A (en) | 2023-08-25 | 2023-08-25 | Goods storage method, device, computer equipment and storage medium |
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| CN202311087356.9A CN117010782A (en) | 2023-08-25 | 2023-08-25 | Goods storage method, device, computer equipment and storage medium |
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