Dynamic warehouse management system based on fresh flower inventory data

Abstract

The invention discloses a dynamic warehouse management system based on fresh flower inventory data, and relates to the technical field of fresh flower management, and the system comprises a management center which is in communication connection with a fresh flower collection module, a fresh flower processing module, a fresh flower analysis module, a fresh flower management module and a fresh flower management optimization module. Collecting fresh flower stock parameters and fresh flower storage parameters, and setting standard fresh flower storage parameters; according to the fresh flower stock parameters and the fresh flower storage parameters, obtaining a historical fresh flower daily sale quantity curve, a historical fresh flower daily sale type curve and fresh flower labels; a fresh flower daily sale prediction curve is constructed according to the historical fresh flower daily sale amount and the variety curve, and a comprehensive management coefficient is obtained according to the fresh flower label; according to the fresh flower daily sale prediction result and the comprehensive management coefficient, an inventory fresh flower management strategy is obtained; obtaining an optimization standard value according to the stock fresh flower management strategy and the storage environment parameters; fresh flower preservation time is prolonged, and fresh flower waste and damage cost are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of flower management, in particular to a dynamic warehouse management system based on flower inventory data. Background Art

[0002] With the increase in the volume of flower transactions, how to keep flowers separated from their mother plants as fresh as possible and extend their viewing period is a problem that flower dealers and consumers are very concerned about. Since the freshness of flowers is closely related to water loss, it is necessary to replenish water for flowers in a timely manner.

[0003] Due to the special nature of flower products, the time required for each step in the flower auction process must be reduced as much as possible. Therefore, the sorting and preservation of flowers before and after the auction is particularly important. Faced with a large number of flower transactions, it is very important for flower operators and consumers to efficiently sort and preserve flowers to keep them fresh as much as possible and track the information of each flower in a timely manner to match it to each buyer.

[0004] In the context of rapid technological upgrades and iterations, the deep integration of products, users and information technology will be achieved. The application of big data in flower warehouse management will achieve more accurate prediction and control of flower warehouse storage, thereby dynamically adjusting flower management and optimizing the warehouse management process using new strategies. To this end, a dynamic warehouse management system based on flower inventory data is now provided. Summary of the invention

[0005] In order to solve the above technical problems, the object of the present invention is to provide a dynamic warehouse management system based on flower inventory data, including a management center, wherein the management center is communicatively connected with a flower collection module, a flower processing module, a flower analysis module, a flower management module and a flower management optimization module;

[0006] The flower collection module is used to collect flower inventory parameters and flower storage parameters, and set standard flower storage parameters;

[0007] The flower processing module is used to obtain the historical flower daily sales curve and the historical flower daily sales category curve according to the flower inventory parameters, and obtain the flower label according to the flower storage parameters;

[0008] The flower analysis module is used to construct a flower daily sales prediction curve according to the historical flower daily sales curve and the historical flower daily sales category curve, obtain the flower daily sales prediction result according to the flower daily sales prediction curve, and obtain the comprehensive management coefficient according to the flower label;

[0009] The flower management module is used to obtain a flower inventory management strategy based on the flower daily sales forecast result and the comprehensive management coefficient;

[0010] The flower management optimization module is used to obtain an optimization standard value according to the inventory flower management strategy and flower storage parameters, and manage the inventory flowers according to the optimization standard value.

[0011] Furthermore, the flower collection module collects flower inventory parameters and flower storage parameters in real time, and sets standard flower storage parameters, including:

[0012] Get the location of the flower warehouse area and record it as the flower storage point;

[0013] Divide the flower warehouse area into several flower warehouse sub-areas, set supervision points in the flower warehouse sub-areas, and record the flower warehouse sub-areas as flower management areas;

[0014] Set the collection period;

[0015] According to the collection cycle, the flower storage points and supervision points collect the flower inventory parameters and flower storage parameters of the flower storage points in real time;

[0016] The flower inventory parameters include flower inventory types, flower inventory quantities and collection time;

[0017] The collection time includes the collection date and the collection time point;

[0018] The flower storage parameters include storage environment parameters and storage state parameters;

[0019] The storage environment parameters include humidity value, air flow value and temperature value;

[0020] The storage status parameters include the flower storage date and the flower storage duration;

[0021] Set standard flower storage parameters;

[0022] The standard flower storage parameters include standard storage environment parameters and standard storage state parameters;

[0023] The standard storage environment parameters include standard humidity value, standard air flow value and standard temperature value;

[0024] The standard storage status parameters include the flower picking date and the flower preservation date.

[0025] Furthermore, the process of obtaining the historical daily sales volume curve of flowers according to the flower inventory parameters by the flower processing module includes:

[0026] According to the current collection cycle, the flower inventory parameters collected in the collection cycle are recorded as historical flower inventory parameters;

[0027] The historical flower inventory parameters include the historical flower inventory quantity, the historical flower inventory type and the historical collection time;

[0028] The historical collection time includes the historical collection date and the historical collection time point;

[0029] The historical flower inventory parameters are classified and sorted according to the historical collection time to obtain the historical daily flower inventory parameters;

[0030] The historical collection time of the flower inventory parameters of the historical day is the same historical collection date;

[0031] According to the change of the historical flower inventory quantity of the historical daily flower inventory parameter, the historical daily flower sales quantity is obtained, and the historical collection date is associated with the historical daily flower sales quantity;

[0032] Establish a two-dimensional coordinate system of the daily sales volume of flowers at the flower storage point in time, and generate a historical daily sales volume curve of flowers according to the obtained historical daily sales volume of flowers;

[0033] The generated historical daily flower sales curve is mapped into a two-dimensional coordinate system.

[0034] Furthermore, the flower processing module obtains the historical flower daily sales category curve according to the flower inventory parameters, and obtains the flower label according to the standard flower storage parameters, including:

[0035] According to the changes in the historical flower inventory types of the historical daily flower inventory parameters, the historical daily flower sales types are obtained, and the historical collection date is associated with the historical daily flower sales types;

[0036] Establishing a two-dimensional coordinate system of historical daily flower sales types at flower storage points, and generating a historical daily flower sales type curve based on the obtained historical daily flower sales types;

[0037] Map the generated historical flower daily sales category curve into a two-dimensional coordinate system;

[0038] The flower storage parameters are combined to obtain the flower label of each flower.

[0039] Furthermore, the flower analysis module constructs a flower daily sales prediction curve according to the historical flower daily sales curve and the historical flower daily sales category curve, including:

[0040] Several groups of historical daily flower sales quantities and historical daily flower sales types are used as training sets and test sets, and the training sets and test sets are input into a flower daily sales prediction model, the flower daily sales prediction model is trained, the trained flower daily sales prediction model is obtained, and the corresponding flower daily sales prediction curve is output.

[0041] Further, the process of obtaining the flower daily sales forecast result according to the flower daily sales forecast curve and obtaining the comprehensive management coefficient according to the flower label includes:

[0042] According to the flower daily sales prediction curve, the predicted daily sales volume and predicted daily sales types of flowers are obtained;

[0043] Compare the predicted daily sales volume and predicted daily sales types of flowers with the flower inventory volume and flower inventory types to obtain the flower daily sales forecast result;

[0044] Obtain the overall management factor from the flower label.

[0045] Furthermore, the process of obtaining the inventory flower management strategy by the flower management module according to the flower daily sales forecast result and the comprehensive management coefficient includes:

[0046] Replenish the types or quantities of flowers in the flower storage point according to the daily flower sales forecast results;

[0047] The flower management area is divided into regions according to the flower types and flower labels to obtain the flower management areas;

[0048] Classify the flowers and place them in the flower management area, manage each flower in the flower management area, and obtain the inventory flower management strategy.

[0049] Furthermore, the flower management optimization module obtains an optimization standard value according to the inventory flower management strategy and the flower storage parameters. The process of managing the inventory flowers according to the optimization standard value includes:

[0050] According to the flower storage parameters, the comprehensive storage coefficient is obtained;

[0051] Analyze the flower storage environment in the flower management area based on the flower inventory management strategy and comprehensive storage parameters;

[0052] When the comprehensive management coefficient is not equal to the comprehensive storage parameter, an optimization management signal is generated and sent to relevant personnel to process the flower management area.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: by analyzing the flower market sales through historically collected flower inventory parameters, a flower daily sales forecast curve and a flower daily sales category curve are obtained to predict the future daily sales of flowers, avoid insufficient flower supply or excessive inventory, avoid flower waste, meet the flower market demand, obtain the comprehensive management coefficient of flowers according to flower labels, plan management strategies for inventory flowers, facilitate the storage of flowers in a suitable environment, increase the storage time of flowers, and monitor the storage environment parameters in real time, monitor in real time whether the storage environment is suitable for flower preservation, reduce the speed of flower wilting, and reduce cost losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a schematic diagram of a dynamic warehouse management system based on flower inventory data according to an embodiment of the present application. DETAILED DESCRIPTION

[0055] like Figure 1 As shown, a dynamic warehouse management system based on flower inventory data includes a management center, and the management center is communicatively connected with a flower collection module, a flower processing module, a flower analysis module, a flower management module and a flower management optimization module;

[0056] The flower collection module is used to collect flower inventory parameters and flower storage parameters, and set standard flower storage parameters;

[0057] The flower processing module is used to obtain a historical flower daily sales volume curve and a historical flower daily sales type curve according to flower inventory parameters, and obtain a flower label according to flower storage parameters;

[0058] The flower analysis module is used to construct a flower daily sales prediction curve according to the historical flower daily sales volume curve and the historical flower daily sales type curve, obtain the flower daily sales prediction result according to the flower daily sales prediction curve, and obtain the comprehensive management coefficient according to the flower label;

[0059] The flower management module is used to obtain a flower inventory management strategy based on the flower daily sales forecast result and the comprehensive management coefficient;

[0060] The flower management optimization module is used to obtain an optimization standard value according to the inventory flower management strategy and flower storage parameters, and manage the inventory flowers according to the optimization standard value.

[0061] It should be further explained that, in the specific implementation process, the flower collection module is used to collect flower inventory parameters and flower storage parameters in real time, and the specific process of setting standard flower storage parameters includes:

[0062] Get the location of the flower warehouse area and record it as the flower storage point;

[0063] Divide the flower warehouse area into several flower warehouse sub-areas, set supervision points in the flower warehouse sub-areas, and record the flower warehouse sub-areas as flower management areas;

[0064] The flower management area is used to store and manage flowers;

[0065] Set the collection period, denoted as D;

[0066] According to the collection cycle D flower storage point and the supervision point, the flower inventory parameters and flower storage parameters of the flower storage point are collected in real time;

[0067] The flower inventory parameters include flower inventory types, flower inventory quantities and collection time;

[0068] The collection time includes the collection date and the collection time point;

[0069] The flower storage parameters include storage environment parameters and storage state parameters;

[0070] The storage environment parameters include humidity value, air flow value and temperature value;

[0071] The humidity value is recorded as cd;

[0072] The air flow value is recorded as kl;

[0073] The temperature value is recorded as wz;

[0074] The storage status parameters include the flower storage date and the flower storage duration;

[0075] Record the flower storage date as rq;

[0076] The length of time the flowers are stored is recorded as sc;

[0077] Set standard flower storage parameters;

[0078] The standard flower storage parameters include standard storage environment parameters and standard storage state parameters;

[0079] The standard storage environment parameters include standard humidity value, standard air flow value and standard temperature value;

[0080] The standard humidity value is recorded as sd;

[0081] The standard air flow value is recorded as Lil;

[0082] The standard temperature value is recorded as wd;

[0083] The standard storage status parameters include the flower picking date and the flower preservation date;

[0084] The date of flower picking was recorded as ct;

[0085] The flower preservation date is recorded as bt;

[0086] It should be further explained that the storage environment of flowers varies depending on their type.

[0087] It should be further explained that, in the specific implementation process, the flower processing module is used to obtain the historical flower daily sales volume curve and the historical flower daily sales type curve according to the flower inventory parameters, and the specific process of obtaining the flower label according to the standard flower storage parameters includes:

[0088] According to the current collection cycle, the flower inventory parameters collected in the collection cycle are recorded as historical flower inventory parameters;

[0089] The historical flower inventory parameters include the historical flower inventory quantity, the historical flower inventory type and the historical collection time;

[0090] The historical collection time includes the historical collection date and the historical collection time point;

[0091] The historical flower inventory parameters are classified and sorted according to the historical collection time to obtain the historical daily flower inventory parameters;

[0092] The historical collection time of the flower inventory parameters of the historical day is the same historical collection date;

[0093] According to the change of the historical flower inventory quantity of the historical daily flower inventory parameter, the historical daily flower sales quantity is obtained, and the historical collection date is associated with the historical daily flower sales quantity;

[0094] It should be further explained that, in the specific implementation process, according to the change of the historical flower inventory quantity in the historical daily flower inventory parameter, the specific process of obtaining the historical daily flower sales volume is as follows: there are two changes in the historical flower inventory quantity, namely increase and decrease. When the historical flower inventory quantity increases, it means that the flower warehouse is stocked, and when the historical flower inventory quantity decreases, it means that the flowers are sold. According to the decrease in the flower inventory quantity in one day, the sales volume of one day is counted;

[0095] According to the changes in the historical flower inventory types of the historical daily flower inventory parameters, the historical daily flower sales types are obtained, and the historical collection date is associated with the historical daily flower sales types;

[0096] It should be further explained that, in the specific implementation process, according to the change of the historical flower inventory types of the historical daily flower inventory parameters, the specific process of obtaining the historical daily flower sales types is as follows: according to the historical collection date, the flower types sold on the same collection date are counted, and all the flower types sold on the same collection date are taken to represent the historical daily flower sales types;

[0097] Establish a two-dimensional coordinate system of the daily sales volume of flowers at the flower storage point in time, and generate a historical daily sales volume curve of flowers according to the obtained historical daily sales volume of flowers;

[0098] Establishing a two-dimensional coordinate system of historical daily flower sales types at flower storage points, and generating a historical daily flower sales type curve based on the obtained historical daily flower sales types;

[0099] Mapping the generated historical flower daily sales volume curve and historical flower daily sales type curve into a two-dimensional coordinate system;

[0100] The flower storage parameters are combined to obtain the flower label of each flower.

[0101] It should be further explained that, in the specific implementation process, the flower analysis module is used to construct a flower daily sales prediction curve according to the historical flower daily sales volume curve and the historical flower daily sales type curve, and obtain the flower daily sales prediction result according to the flower daily sales prediction curve. The specific process of obtaining the comprehensive management coefficient according to the flower label includes:

[0102] Using several groups of historical daily flower sales quantities and historical daily flower sales categories as training sets and test sets, and inputting the training sets and test sets into a flower daily sales prediction model, training the flower daily sales prediction model, obtaining a trained flower daily sales prediction model, and outputting a corresponding flower daily sales prediction curve;

[0103] According to the flower daily sales prediction curve, the predicted daily sales volume and the predicted daily sales types of flowers are obtained, which are recorded as Yc;

[0104] Compare the predicted daily sales volume and predicted daily sales types with the flower inventory volume and flower inventory types;

[0105] When the flower inventory quantity is less than the predicted daily flower sales quantity or the flower inventory types are less than the predicted daily flower sales types, the flower inventory quantity or the shortage of flower inventory types at the flower storage point is predicted to obtain the flower daily sales prediction result;

[0106] When the flower inventory quantity is greater than or equal to the predicted daily sales volume or the flower inventory types are greater than or equal to the predicted daily sales types, the flower inventory quantity or flower inventory types of the flower storage point do not need to be replenished temporarily, and the flower daily sales forecast result is obtained;

[0107] According to the flower labels, the comprehensive management coefficient is obtained, denoted as Gli;

[0108] but

[0109] Where θ is the management coefficient.

[0110] It should be further explained that, in the specific implementation process, the flower management module is used to obtain the inventory flower management strategy according to the flower daily sales forecast result and the comprehensive management coefficient, and the specific process includes:

[0111] Replenish the types or quantities of flowers in the flower storage point according to the daily flower sales forecast results;

[0112] The flower management area is divided into regions according to the flower types and flower labels to obtain the flower management areas;

[0113] It should be further explained that, in the specific implementation process, the flower areas are divided to obtain areas suitable for preserving each type of flower, and the flowers are classified and stored;

[0114] According to the types of flowers, the flowers are classified and placed in the flower management area, and according to the comprehensive management coefficient of the flowers, each flower is managed in the flower management area to obtain the inventory flower management strategy;

[0115] It should be further explained that, in the specific implementation process, the specific process of managing each flower in the flower management area according to the comprehensive management coefficient of the flowers is: placing the same type of flowers with the same comprehensive management coefficient in the same area, and arranging them in sequence according to the size of the comprehensive management coefficient.

[0116] It should be further explained that, in the specific implementation process, the flower management optimization module is used to obtain the optimization standard value according to the inventory flower management strategy and the flower storage parameters. According to the optimization standard value, the specific process of managing the inventory flowers includes:

[0117] Real-time monitoring of flower storage parameters within the flower management area;

[0118] According to the flower storage parameters, the comprehensive storage coefficient is obtained, denoted as zc;

[0119] but

[0120] Where ρ is the storage coefficient;

[0121] Analyze the flower storage environment in the flower management area based on the flower inventory management strategy and comprehensive storage parameters;

[0122] When the comprehensive management coefficient is equal to the comprehensive storage parameter, the flower storage environment is suitable for flower storage, no further optimization management is required, and a normal management signal is generated;

[0123] When the comprehensive management coefficient is not equal to the comprehensive storage parameter, the flower storage environment is not suitable for flower storage, which accelerates the wilting process of the flowers. Further optimization management is urgently needed to generate an optimization management signal, and send the optimization management signal to relevant personnel to process the flower management area. The above embodiments are only used to illustrate the technical method of the present invention but not to limit it. Although the present invention is described in detail with reference to the preferred embodiments, ordinary technicians in this field should understand that the technical method of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A dynamic warehouse management system based on flower inventory data, including a management center, characterized in that: The management center is communicatively connected with a flower collection module, a flower processing module, a flower analysis module, a flower management module and a flower management optimization module; The flower collection module is used to collect flower inventory parameters and flower storage parameters, and set standard flower storage parameters; The flower processing module is used to obtain a historical flower daily sales volume curve and a historical flower daily sales type curve according to flower inventory parameters, and obtain a flower label according to flower storage parameters; The flower analysis module is used to construct a flower daily sales prediction curve according to the historical flower daily sales volume curve and the historical flower daily sales type curve, obtain the flower daily sales prediction result according to the flower daily sales prediction curve, and obtain the comprehensive management coefficient according to the flower label; The flower management module is used to obtain a flower inventory management strategy based on the flower daily sales forecast result and the comprehensive management coefficient; The flower management optimization module is used to obtain an optimization standard value according to the inventory flower management strategy and flower storage parameters, and manage the inventory flowers according to the optimization standard value.

2. A dynamic warehouse management system based on flower inventory data according to claim 1, characterized in that: The process of the flower collection module collecting flower inventory parameters and flower storage parameters in real time and setting standard flower storage parameters includes: Get the location of the flower warehouse area and record it as the flower storage point; Divide the flower warehouse area into several flower warehouse sub-areas, set supervision points in the flower warehouse sub-areas, and record the flower warehouse sub-areas as flower management areas; Set the collection period; According to the collection cycle, the flower storage points and supervision points collect the flower inventory parameters and flower storage parameters of the flower storage points in real time; The flower inventory parameters include flower inventory types, flower inventory quantities and collection time; The collection time includes the collection date and the collection time point; The flower storage parameters include storage environment parameters and storage state parameters; The storage environment parameters include humidity value, air flow value and temperature value; The storage status parameters include the flower storage date and the flower storage duration; Set standard flower storage parameters; The standard flower storage parameters include standard storage environment parameters and standard storage state parameters; The standard storage environment parameters include standard humidity value, standard air flow value and standard temperature value; The standard storage status parameters include the flower picking date and the flower preservation date.

3. A dynamic warehouse management system based on flower inventory data according to claim 2, characterized in that: The process of obtaining the historical daily sales volume curve of flowers according to the flower inventory parameters by the flower processing module includes: According to the current collection cycle, the flower inventory parameters collected in the collection cycle are recorded as historical flower inventory parameters; The historical flower inventory parameters include the historical flower inventory quantity, the historical flower inventory type and the historical collection time; The historical collection time includes the historical collection date and the historical collection time point; The historical flower inventory parameters are classified and sorted according to the historical collection time to obtain the historical daily flower inventory parameters; The historical collection time of the flower inventory parameters of the historical day is the same historical collection date; According to the change of the historical flower inventory quantity of the historical daily flower inventory parameter, the historical daily flower sales quantity is obtained, and the historical collection date is associated with the historical daily flower sales quantity; Establish a two-dimensional coordinate system of the daily sales volume of flowers at the flower storage point in time, and generate a historical daily sales volume curve of flowers according to the obtained historical daily sales volume of flowers; The generated historical daily flower sales curve is mapped into a two-dimensional coordinate system.

4. A dynamic warehouse management system based on flower inventory data according to claim 3, characterized in that: The flower processing module obtains the historical flower daily sales category curve according to the flower inventory parameters, and obtains the flower label according to the standard flower storage parameters, including: According to the changes in the historical flower inventory types of the historical daily flower inventory parameters, the historical daily flower sales types are obtained, and the historical collection date is associated with the historical daily flower sales types; Establishing a two-dimensional coordinate system of historical daily flower sales types at flower storage points, and generating a historical daily flower sales type curve based on the obtained historical daily flower sales types; Map the generated historical flower daily sales category curve into a two-dimensional coordinate system; The flower storage parameters are combined to obtain the flower label of each flower.

5. A dynamic warehouse management system based on flower inventory data according to claim 4, characterized in that: The process of constructing a flower daily sales prediction curve according to the historical flower daily sales curve and the historical flower daily sales category curve by the flower analysis module includes: Several groups of historical daily flower sales quantities and historical daily flower sales types are used as training sets and test sets, and the training sets and test sets are input into a flower daily sales prediction model, the flower daily sales prediction model is trained, the trained flower daily sales prediction model is obtained, and the corresponding flower daily sales prediction curve is output.

6. A dynamic warehouse management system based on flower inventory data according to claim 5, characterized in that: The process of obtaining the flower daily sales forecast result according to the flower daily sales forecast curve and obtaining the comprehensive management coefficient according to the flower label includes: According to the flower daily sales prediction curve, the predicted daily sales volume and predicted daily sales types of flowers are obtained; Compare the predicted daily sales volume and predicted daily sales types of flowers with the flower inventory volume and flower inventory types to obtain the flower daily sales forecast result; According to the flower label, obtain the overall management factor.

7. A dynamic warehouse management system based on flower inventory data according to claim 6, characterized in that: The process of obtaining the inventory flower management strategy by the flower management module according to the flower daily sales forecast result and the comprehensive management coefficient includes: Replenish the types or quantities of flowers in the flower storage point according to the daily flower sales forecast results; The flower management area is divided into regions according to the flower types and flower labels to obtain the flower management areas; Classify the flowers and place them in the flower management area, manage each flower in the flower management area, and obtain the inventory flower management strategy.

8. A dynamic warehouse management system based on flower inventory data according to claim 7, characterized in that: The flower management optimization module obtains an optimization standard value according to the inventory flower management strategy and the flower storage parameters. The process of managing the inventory flowers according to the optimization standard value includes: According to the flower storage parameters, the comprehensive storage coefficient is obtained; Analyze the flower storage environment in the flower management area based on the flower inventory management strategy and comprehensive storage parameters; When the comprehensive management coefficient is not equal to the comprehensive storage parameter, an optimization management signal is generated and sent to relevant personnel to process the flower management area.

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