CN115759574A - Material storage method and device, computer equipment and storage medium - Google Patents
Material storage method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a material storage method and device, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps of firstly obtaining changed environmental parameters corresponding to target materials, and then inputting the changed environmental parameters corresponding to the target materials and related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials. By adopting the method, the storage parameters of the target material can be dynamically adjusted according to the change conditions of the environmental parameters and the related parameters of the material, the rationality of material storage and the balance of supply and demand of the material are ensured, the material storage cost is reduced, and the utilization rate of corresponding storage resources in material storage is greatly improved.
Description
Technical Field
The present application relates to the field of material storage technologies, and in particular, to a material storage method and apparatus, a computer device, and a storage medium.
Background
The term "stock" refers to stock of production data in the social production process. When a production data product is separated from one production process but does not enter another production and consumption process, the production data product temporarily stays in one link of the production field and the circulation field in a storage mode.
The materials required by enterprise production can be purchased locally at times, but a large amount of materials need to be purchased from foreign places or even abroad. Because the supply and demand parties are not in one place, the goods and materials are transported from the production place of the supplier to the production enterprises of the demand place, and a certain goods and materials storage technology is needed to ensure the supply and demand balance of the goods and materials. The existing material storage method is generally realized based on material demand, material supply capacity and material consumption.
However, the above material reserving method has a problem of low utilization rate of storage resources.
Disclosure of Invention
In view of the above, it is necessary to provide a material storage method, device, computer device and storage medium for solving the above technical problems.
In a first aspect, the present application provides a method for storing materials. The method comprises the following steps:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into the target storage model to obtain the storage parameters corresponding to the target materials includes:
establishing a target storage model according to different environmental parameters and different related parameters of materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the building a target reserve model according to different environmental parameters and different related parameters of materials includes:
acquiring different environmental parameters and related parameters of different materials from a storage supply database;
establishing a storage model corresponding to different environmental parameters according to different environmental parameters and related parameters of different materials;
and determining a target reserve model according to the established plurality of reserve models.
In one embodiment, the method further comprises:
determining whether the target material has associated material;
if the target material has the associated material, inputting the related parameters of the associated material and the corresponding changed environmental parameters into the storage model corresponding to the associated material to obtain the storage parameters corresponding to the associated material, and determining the storage parameters corresponding to the target material according to the storage parameters corresponding to the associated material.
In one embodiment, the determining whether the target material has the associated material includes:
determining whether the target material has associated material according to a preset material networking list; the material networking list records the association relationship among the materials.
In one embodiment, the reserve parameters include: at least one of material demand, replenishment cycle, average stock quantity, replenishment interval, frequency of use, material amount, etc.
In one embodiment, the environmental parameters include: season, temperature, precipitation, population number.
In a second aspect, the application further provides a storage device for materials. The device includes:
the acquisition module is used for acquiring the changed environmental parameters corresponding to the target materials;
and the prediction module is used for inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into the target storage model to obtain the storage parameters corresponding to the target materials.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor realizes the following steps when executing the computer program:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In a fourth aspect, the present application further provides a computer-readable storage medium. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
The application provides a material storage method, a material storage device, computer equipment and a storage medium. The method realizes dynamic adjustment of the storage parameters of the target material according to the change conditions of the environmental parameters and the related parameters of the material, ensures the rationality of material storage and the balance of supply and demand of the material, reduces the material storage cost, and further greatly improves the utilization rate of corresponding storage resources when the material is stored.
Drawings
FIG. 1 is one of the internal block diagrams of a computer device in one embodiment;
FIG. 2 is a flow diagram of a method for storing supplies according to one embodiment;
FIG. 3 is a flow chart illustrating obtaining a reserve parameter corresponding to a target material according to an embodiment;
FIG. 4 is a flow diagram of establishing a target reserve model in one embodiment;
FIG. 5 is a second flowchart illustrating an embodiment of obtaining a storage parameter corresponding to a target material;
FIG. 6 is a flow chart of a method for storing supplies in another embodiment;
FIG. 7 is one of the block diagrams of a storage device for supplies in one embodiment;
FIG. 8 is a block diagram of a prediction module in one embodiment;
FIG. 9 is a block diagram of a build unit in one embodiment;
FIG. 10 is a second block diagram of a material storage device according to an embodiment;
FIG. 11 is a second exemplary embodiment of an internal configuration of a computer device.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The material storage method provided by the application can be applied to computer equipment shown in figure 1. The computer equipment can be a server, a terminal, or a system comprising the terminal and the server, and is realized through the interaction of the terminal and the server. The internal structure of the computer device can be as shown in fig. 1. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing different environmental parameters and related parameters of different materials. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of storing material.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the application environments in which the disclosed aspects may be used, and that a particular application environment may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a method for storing supplies is provided, as shown in fig. 2, and is illustrated by applying the method to the computer device in fig. 1, and comprises the following steps:
and S101, acquiring the changed environmental parameters corresponding to the target material.
The target material may be any type of material, and is determined according to an actual storage demand, which is not limited in this embodiment. The environmental parameters characterize some environmental related parameters that affect the material storage, for example, the environmental parameters may include any of season, temperature, precipitation, population size, and the like.
In this embodiment, when the target material needs to be stored and the storage mode of the target material is predicted or planned, the computer device may first obtain a series of current environmental parameters related to the target material from the material-related database and a series of environmental parameters related to the target material in a historical time period, then compare the two environmental parameters, determine which environmental parameters are changed parameters, and thereby extract the changed environmental parameters therefrom. For example, the season corresponding to the storage of the obtained material apples in month 8 is autumn, and the season corresponding to the storage of the material apples in month 11 is winter, so that the environment parameters which change correspondingly are the parameters representing the seasons.
S102, inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
The relevant parameters of the target material represent a series of parameters related to the processes of production, sales, storage, transportation and the like of the target material, for example, the relevant parameters of the target material may include one or more of the effect that the target material can achieve, the price of the target material, different purchasing points of the material, the warehouse location and warehouse list of the stored material; the reserve parameters may represent a reserve mode or a reserve strategy of the target material, and optionally, the reserve parameters may include any one, any several or all of parameters of material demand, replenishment cycle, average inventory quantity, replenishment interval, frequency of use, material amount, and the like. The target storage model is a mathematical model pre-constructed by computer equipment and is used for predicting or calculating a storage mode or a storage strategy of target materials so as to obtain storage parameters corresponding to the target materials.
In this embodiment, when the computer device obtains the changed environmental parameters corresponding to the target materials based on the foregoing steps, the related parameters of the target materials may also be obtained from the material storage database, and then the changed environmental parameters corresponding to the target materials and the related parameters of the target materials are input into a pre-established target storage model for calculation or prediction, so as to obtain storage parameters corresponding to the target materials; optionally, when the computer device obtains the changed environmental parameters corresponding to the target materials based on the foregoing steps, the environmental parameters and the related parameters corresponding to the target materials in the historical time period may be obtained from the material storage database, a target storage model for predicting the storage strategy is constructed based on the two parameters, and then the changed environmental parameters corresponding to the currently obtained target materials and the related parameters of the currently obtained target materials are input into the constructed target storage model for prediction, so as to obtain the storage parameters corresponding to the target materials.
The steps of the present embodiment are illustrated: the corresponding changed environmental parameter of the apple is a daily temperature value t within 9 months 1 、t 2 、t 3 ......t 30 The related parameters of the apple are 13 yuan/kg price and 3 yuan/kg entrance price, and the purchase point of the apple is A 1 Point sum A 2 The longitude and latitude of the warehouse position for storing the apples are (east longitude 116 degrees 20 degrees, north latitude 39 degrees 56 degrees) and a warehouse list, the computer device inputs the environment parameters corresponding to the apples and the related parameters of the apples into a pre-established target storage model for calculation or prediction to obtain the storage parameters corresponding to the apples in 10 months, for example, in 10 months, the material demand is 500kg per day, the replenishment period is 1 replenishment per 3 days, the average daily stock quantity is 1700, the replenishment interval is 3 days, the pickup frequency is 550 times, the unit price of the material is 13 yuan/kg, and the total amount in 10 months is 150000 yuan.
In the material storage method, the changed environmental parameters corresponding to the target materials are obtained, and then the changed environmental parameters corresponding to the target materials and the related parameters of the target materials are input into the target storage model to obtain the storage parameters corresponding to the target materials. The method realizes dynamic adjustment of the storage parameters of the target material according to the change conditions of the environmental parameters and the related parameters of the material, ensures the rationality of material storage and the balance of supply and demand of the material, reduces the material storage cost, and further greatly improves the utilization rate of corresponding storage resources when the material is stored.
In an embodiment, a specific implementation manner of the above S102 is provided, as shown in fig. 3, the above S102 "inputting the changed environmental parameters corresponding to the target material and the related parameters of the target material into the target storage model to obtain the storage parameters corresponding to the target material", may include the following steps:
s201, establishing a target storage model according to different environmental parameters and related parameters of different materials.
The different environmental parameters and the related parameters of the different materials may be stored in the material storage database in advance, and specifically, the environmental parameters and the related parameters in a preset time period may be, for example, the different environmental parameters and the related parameters of the different materials in a historical time period. In this embodiment, the computer device may obtain different environmental parameters and related parameters of different materials in different time periods from the material reserve database, and then construct a target reserve model based on the two types of data or parameters for later use, where the different time periods may include a historical time period and/or a current time period; optionally, the target reserve model may be a neural network model or a machine learning model, and may be obtained by training based on a large amount of sample data in advance, where the sample data may specifically be different environmental parameters and related parameters of different materials in the different time periods.
The steps of this embodiment are illustrated: the related parameters of the apple, the watermelon and the pepper comprise that the price of the apple is 13 yuan/kg, the price of the watermelon is 9 yuan/kg and the price of the pepper is 8 yuan/kg, and the purchase points of the apple, the watermelon and the pepper are all A 1 Point sum A 2 The longitude and latitude of the warehouse positions for dotting and storing apples, watermelons and hot peppers are respectively (east longitude 116 degrees 20 degrees and north latitude 39 degrees 56 degrees) and the warehouse lists of the three materials; different environmental parameters are temperature variations and precipitation variations. The computer equipment establishes a target storage model according to the respective related parameters of the apples, the watermelons and the peppers and different environmental parameters
S202, inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
After the target storage model is established by the computer equipment based on the steps, the obtained changed environmental parameters corresponding to the target materials and the related parameters of the target materials can be input into the target storage model to predict a material storage mode or a material storage strategy, so that the storage parameters corresponding to the target materials are obtained.
The target storage model in the above embodiment may predict a storage mode or policy of the target material based on the changed environmental parameters and the related parameters of the material, so as to achieve dynamic adjustment of a storage scheme of the target material. For example, the problem that the supply timeliness, the material price, the material availability and the seasonal change of the existing materials are always in a floating state, and the whole implementation scheme of material storage is troublesome, and meanwhile, unnecessary material storage resources are wasted can be solved. In addition, because the target storage model is established according to different environmental parameters and different related parameters of materials, the storage parameters of various materials under different environmental changes can be analyzed, and each target storage model can effectively predict the storage condition and the supply condition of the counted related data, so that accurate storage parameters can be obtained, and the goodness of fit of the demand and the supply quantity can be improved.
In an embodiment, an implementation manner of the above S201 is provided, and as shown in fig. 4, the above S201 "establishing a target reserve model according to different environmental parameters and different related parameters of the material" includes the following steps:
s301, different environmental parameters and related parameters of different materials are obtained from the reserve supply database.
The reserve database can be pre-established by computer equipment, and can also be a cloud big database for storing a series of parameters or data related to various materials.
The different environmental parameters and the related parameters of the different materials may be stored in the material storage database in advance, and specifically, the environmental parameters and the related parameters in a preset time period may be, for example, the different environmental parameters and the related parameters of the different materials in a historical time period. The computer equipment can acquire different environmental parameters and related parameters of different materials in different time periods from the material reserve database, and then construct a target reserve model based on the two data or parameters for later use,
s302, establishing a storage model corresponding to different environmental parameters according to different environmental parameters and related parameters of different materials.
The storage models corresponding to different environmental parameters can predict the storage modes or strategies of the target materials under the condition of different environmental changes, so that the different environmental parameters correspond to different storage models, for example, an environmental parameter representing season corresponds to a storage model of the type of parameter, an environmental parameter representing temperature corresponds to a storage model of the type of parameter, an environmental parameter representing population scale corresponds to a storage model of the type of parameter, and an environmental parameter representing precipitation corresponds to a storage model of the type of parameter.
And S303, determining a target reserve model according to the built multiple reserve models.
When the computer device establishes a plurality of storage models corresponding to different environmental parameters based on the above steps according to different environmental parameters and different related parameters of the materials, the plurality of storage models can be stored in a corresponding database or recorded and stored, so that the computer device can use one of the storage models to predict the material storage mode. Optionally, when the storage models are specifically stored, the plurality of storage models and the corresponding environmental parameters may be stored correspondingly, and then the computer device may screen out the matched storage models from the plurality of storage models according to the changed environmental parameters for use, for example, the computer device establishes the storage models corresponding to the seasonal parameters, the precipitation parameters and the population scale parameters, and then selects the storage model corresponding to the population scale parameters from the three storage models for use as the target storage model when it is determined that the changed environmental parameters corresponding to the target materials are the population scale parameters.
For another example, the computer device establishes a storage model corresponding to the temperature of the apple, a storage model corresponding to the precipitation parameter of the apple, a storage model corresponding to the temperature change and the precipitation change of the watermelon, and a storage model corresponding to the temperature change and the precipitation change of the pepper, and then selects the storage model corresponding to the temperature of the apple from the three storage models to be used as a target storage model when the changed environmental parameter corresponding to the apple is determined to be the temperature.
In the above embodiment, the target stock model can be determined according to the plurality of established stock models, for example, according to changes of a plurality of warehouse locations and warehouse lists, on the basis of minimum guarantee supply, when local supply is not urgent, a supply route at a remote location is preferentially considered, so that when material changes occur again, emergency supply occurs, and local supply can be performed by using materials at a close distance.
In one embodiment, as shown in fig. 5, the embodiment of the present application may further include the following steps:
s401, determining whether the target material has associated material.
The related materials refer to two or more materials which have a mutual correlation relationship with the target materials. For example, the change of one material causes the change of other materials, and the two materials are correlated materials; for another example, the sales increase of capsicum promotes the rapid increase of the sales of anti-inflammatory drugs, so that the anti-inflammatory drugs are related to capsicum. Optionally, the related materials may be materials that change due to environmental changes, for example, the sales volume of apples changes due to seasonal changes; the related materials can also be materials which are not changed by environmental changes, for example, the sales volume of the toy is not changed by seasonal changes.
Optionally, the computer device may determine whether the target material has associated materials according to a preset material networking list, where the material networking list records an association relationship between the materials. In this embodiment, the computer device may pre-construct and store a material networking list, and specifically may determine an association relationship between various types of materials, and then record the determined association relationship between the materials in a blank table to generate the material networking list. When the computer device determines whether the target material has the associated material, the computer device may first obtain a material networking list and query information related to the target material in the material networking list, so as to determine whether the target material has the associated material.
S402, if the related materials exist in the target materials, inputting the related parameters of the related materials and the corresponding changed environment parameters into a storage model corresponding to the related materials to obtain storage parameters corresponding to the related materials.
When the computer device determines that the target material has the associated material, a plurality of storage models corresponding to the associated material may be further obtained, for example, a storage model corresponding to a seasonal parameter, a storage model corresponding to a population scale parameter, and the like may exist, and the computer device may further obtain the related parameter of the associated material and the corresponding changed parameter, and then select a matched storage model from the plurality of storage models based on the changed environmental parameter to perform storage mode prediction, so as to obtain the storage parameter corresponding to the associated material. Optionally, after determining the related materials of the target materials, the computer device may also determine the storage mode of the target materials directly based on the existing storage mode or storage policy of the related materials.
And S403, determining the reserve parameters corresponding to the target materials according to the reserve parameters corresponding to the related materials.
The storage parameters corresponding to the associated materials comprise material demand, replenishment period, average inventory quantity, replenishment interval, receiving frequency and material amount, and the computer equipment determines the storage parameters corresponding to the target materials according to the storage parameters corresponding to the associated materials.
For example, the related material of the anti-inflammatory drug is pepper, the material demand corresponding to the pepper is 1000kg, the replenishment period is 5 days, the average stock quantity is 2000kg, the replenishment interval is once every 5 days, the receiving frequency is 200 times and the material amount is 100000 yuan, for example, the demand of the anti-inflammatory drug is 1.2 times of that of the pepper, and it can be determined that when the demand of the pepper increases by 0.5kg, the demand of the anti-inflammatory drug increases by 0.6kg
The embodiment realizes the prediction of the storage mode of the target material according to the storage mode of the related material of the target material, fully utilizes the characteristics of relevance or linkage between the materials, can greatly improve the prediction efficiency and accuracy of the storage scheme, further improve the balance of material supply and demand, can greatly meet the actual production, storage and sale demands of the material, is a new method for predicting the storage scheme of the target material, can also ensure the rationality of material storage, reduces the storage cost of the material, and further greatly improves the utilization rate of the corresponding storage resource when the material is stored.
In summary, the above embodiments provide a material storage method, as shown in fig. 6, the method includes the following steps:
s501, determining whether the target material has associated material according to a preset material networking list, if the target material does not have associated material, executing the step S502, and if the target material has associated material, executing the step S503.
S502, obtaining the changed environmental parameters corresponding to the target materials and the related parameters of the target materials, and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain the storage parameters corresponding to the target materials.
S503, inputting the related parameters of the related materials and the corresponding changed environmental parameters into the storage model corresponding to the related materials to obtain the storage parameters corresponding to the related materials, and determining the storage parameters corresponding to the target materials according to the storage parameters corresponding to the related materials.
In the above embodiment, the dynamic adjustment of the target material storage scheme is realized, and compared with the existing static material storage mode, the problems of high material storage cost, low storage resource utilization rate and the like caused by that environmental parameters or related parameters of the target material are always in a floating state can be solved. For example, the problem that the existing supply timeliness, material price, material availability and seasonal variation of materials are always in a floating state, and the whole implementation scheme of material storage is troublesome, and meanwhile, unnecessary material storage resources are wasted can be solved, the material amplitude can be adjusted according to the number of the materials which can be consumed in the corresponding material period, when material purchase is accumulated, the corresponding materials can be timely judged, and then corresponding storage scheme adjustment suggestions can be made according to the number of the used evaluation models, so that the storage scheme is ensured to be used and run in a range which accords with expectations; in addition, because the target storage models are established according to different environmental parameters and related parameters of different materials, the storage parameters of various materials under different environmental changes can be analyzed, and each target storage model can effectively predict the storage condition and the supply condition of the counted related data, so that accurate storage parameters can be obtained, and the goodness of fit of the demand and the supply quantity can be improved. In addition, the forecasting efficiency and the forecasting accuracy of the storage scheme can be greatly improved by utilizing the characteristic that the relevance or the linkage exists between the materials through a relevance judging method, so that the supply and demand balance of the materials is improved, the actual production, storage and sale requirements of the materials can be greatly met, and the method is a novel method for forecasting the storage scheme of the target materials; by establishing a database for required materials, the required materials under different environments can be correspondingly calculated and predicted, corresponding change is carried out according to the purchase period of the materials and corresponding influence factors, and on the basis of minimum guarantee supply, when local supply is not urgent, a supply path at a far position is preferentially considered, so that when material change occurs again, urgent supply can occur, and local can adopt materials at a near distance to carry out urgent supply.
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a material storage device for realizing the material storage method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so that specific limitations in the embodiment of the storage device for one or more materials provided below can be referred to the limitations on the storage method for the materials in the above description, and details are not repeated herein.
In one embodiment, as shown in fig. 7, there is provided a storage apparatus for materials, including:
the acquisition module 10 is used for acquiring the changed environmental parameters corresponding to the target materials;
and the prediction module 11 is configured to input the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into the target storage model, so as to obtain storage parameters corresponding to the target materials.
In one embodiment, as shown in fig. 8, the prediction module 11 includes:
the building unit 110 is configured to build a target storage model according to different environmental parameters and different material related parameters;
the calculating unit 111 is configured to input the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into the target storage model, so as to obtain storage parameters corresponding to the target materials.
In one embodiment, as shown in FIG. 9, the building unit 110 includes:
an acquiring subunit 1100, configured to acquire different environmental parameters and different material related parameters from a reserve supply database;
a constructing subunit 1101, configured to establish a storage model corresponding to different environmental parameters according to different environmental parameters and different material related parameters;
a determining subunit 1102, configured to determine a target reservoir model according to the established plurality of reservoir models.
In one embodiment, as shown in fig. 10, the apparatus further comprises:
the first determining module 12 is used for determining whether the target material has associated material;
the second determining module 13 is configured to, in a case that the associated material exists in the target material, input the related parameter of the associated material and the corresponding changed environmental parameter into the storage model corresponding to the associated material to obtain a storage parameter corresponding to the associated material, and determine the storage parameter corresponding to the target material according to the storage parameter corresponding to the associated material.
In one embodiment, the first determining module 12 is specifically configured to determine whether the target material has a related material according to a preset material networking list; the material networking list records the association relationship among the materials.
The modules in the storage device for the materials can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 11. The computer apparatus includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input device. The processor, the memory and the input/output interface are connected by a system bus, and the communication interface, the display unit and the input device are connected by the input/output interface to the system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of storing material. The display unit of the computer device is used for forming a visual picture and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the configuration shown in fig. 11 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
establishing a target storage model according to different environmental parameters and different related parameters of materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring different environmental parameters and related parameters of different materials from a storage supply database;
establishing a storage model corresponding to different environmental parameters according to different environmental parameters and related parameters of different materials;
and determining a target reserve model according to the established plurality of reserve models.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining whether the target material has associated material;
if the target material has the associated material, inputting the related parameters of the associated material and the corresponding changed environmental parameters into the storage model corresponding to the associated material to obtain the storage parameters corresponding to the associated material, and determining the storage parameters corresponding to the target material according to the storage parameters corresponding to the associated material.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining whether the target material has associated material according to a preset material networking list; the material networking list records the association relationship among the materials.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the computer program when executed by the processor implements the steps of:
establishing a target storage model according to different environmental parameters and different related parameters of materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the computer program when executed by the processor implements the steps of:
acquiring different environmental parameters and related parameters of different materials from a storage supply database;
establishing a storage model corresponding to different environmental parameters according to different environmental parameters and related parameters of different materials;
and determining a target reserve model according to the established plurality of reserve models.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining whether the target material has associated material;
if the target material has the associated material, inputting the related parameters of the associated material and the corresponding changed environmental parameters into the storage model corresponding to the associated material to obtain the storage parameters corresponding to the associated material, and determining the storage parameters corresponding to the target material according to the storage parameters corresponding to the associated material.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining whether the target material has associated material according to a preset material networking list; the material networking list records the association relationship among the materials.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the computer program when executed by the processor implements the steps of:
establishing a target storage model according to different environmental parameters and different related parameters of materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
In one embodiment, the computer program when executed by the processor implements the steps of:
acquiring different environmental parameters and related parameters of different materials from a storage supply database;
establishing a storage model corresponding to different environmental parameters according to different environmental parameters and related parameters of different materials;
and determining a target reserve model according to the established plurality of reserve models.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining whether the target material has associated material;
if the target material has the associated material, inputting the related parameters of the associated material and the corresponding changed environmental parameters into the storage model corresponding to the associated material to obtain the storage parameters corresponding to the associated material, and determining the storage parameters corresponding to the target material according to the storage parameters corresponding to the associated material.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining whether the target material has associated material according to a preset material networking list; the material networking list records the association relationship among the materials.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein can include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of storing supplies, the method comprising:
acquiring the changed environmental parameters corresponding to the target materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
2. The method according to claim 1, wherein the inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain the storage parameters corresponding to the target materials comprises:
establishing the target reserve model according to different environmental parameters and related parameters of different materials;
and inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into the target storage model to obtain storage parameters corresponding to the target materials.
3. The method according to claim 2, wherein the establishing the target reserve model according to different environmental parameters and different related parameters of materials comprises:
acquiring the different environmental parameters and the related parameters of the different materials from a reserve supply database;
establishing a storage model corresponding to different environmental parameters according to the different environmental parameters and the related parameters of the different materials;
and determining the target reserve model according to the established plurality of reserve models.
4. The method of claim 1, further comprising:
determining whether the target material has associated material;
if the target material has the associated material, inputting the related parameters of the associated material and the corresponding changed environmental parameters into a storage model corresponding to the associated material to obtain storage parameters corresponding to the associated material, and determining the storage parameters corresponding to the target material according to the storage parameters corresponding to the associated material.
5. The method of claim 4, wherein the determining whether the target asset has an associated asset comprises:
determining whether the target material has associated material according to a preset material networking list; and the material networking list records the association relationship among the materials.
6. The method of claim 1, wherein the reserve parameters comprise: at least one of material demand, replenishment cycle, average stock quantity, replenishment interval, frequency of use, material amount, etc.
7. The method of claim 1, wherein the environmental parameters comprise: season, temperature, precipitation, population number.
8. A storage device for supplies, the device comprising:
the acquisition module is used for acquiring the changed environmental parameters corresponding to the target materials;
and the prediction module is used for inputting the changed environmental parameters corresponding to the target materials and the related parameters of the target materials into a target storage model to obtain storage parameters corresponding to the target materials.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117078102A (en) * | 2023-08-28 | 2023-11-17 | 重庆市地理信息和遥感应用中心(重庆市测绘产品质量检验测试中心) | Regional grain security guarantee capability quantitative evaluation method based on space matching degree |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078102A (en) * | 2023-08-28 | 2023-11-17 | 重庆市地理信息和遥感应用中心(重庆市测绘产品质量检验测试中心) | Regional grain security guarantee capability quantitative evaluation method based on space matching degree |
| CN117078102B (en) * | 2023-08-28 | 2024-05-17 | 重庆市地理信息和遥感应用中心(重庆市测绘产品质量检验测试中心) | Regional grain security guarantee capability quantitative evaluation method based on space matching degree |
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