CN117094648A - Visual management system of warehouse based on thing networking - Google Patents
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Abstract
The application belongs to the field of warehouse management, relates to a data analysis technology, and is used for solving the problem of low ex-warehouse sorting efficiency of the existing warehouse visual management system, in particular to a warehouse visual management system based on the Internet of things, which comprises a warehouse management platform, wherein the warehouse management platform is in communication connection with an order analysis module, a warehouse management module, an ex-warehouse monitoring module, an optimization analysis module and a storage module; the order analysis module is used for managing and analyzing the picking order of the warehouse: generating a management period, marking the types of the goods in the order to be the goods value of the order, and marking the goods corresponding to all the single orders to be single goods; according to the application, the management analysis can be carried out on the picked orders of the warehouse, the goods in the warehouse are classified according to the sorting characteristics in the management period, and compared with the traditional sorting mode according to the types of goods, the goods are not required to be picked on the goods shelves in a plurality of storage spaces when the goods are sorted for one sorted order.
Description
Technical Field
The application belongs to the field of warehouse management, relates to a data analysis technology, and particularly relates to a warehouse visual management system based on the Internet of things.
Background
Warehouse management is also called warehouse management, and refers to effective control of activities such as receiving, dispatching, balance and the like of warehouse goods, and aims to ensure the integrity of the warehouse goods for enterprises, ensure the normal running of production and operation activities, and on the basis, carry out classification record on the activity status of various goods, and express the status of the warehouse goods in terms of quantity and quality in a clear chart mode.
The existing visual management system of the warehouse generally sorts and stores goods according to the types of goods, however, when the goods are sorted according to sorting orders, the sorting orders often contain a plurality of types of goods, and therefore all the goods in the sorting orders need to be sorted from a plurality of shelves, and the sorting efficiency of the sorting out of the warehouse is low; meanwhile, along with the change of sorting demands, if the goods storage space is not dynamically optimized, the warehouse still cannot be guaranteed to continuously keep higher ex-warehouse sorting efficiency.
The application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a warehouse visual management system based on the Internet of things, which is used for solving the problem that the warehouse-out sorting efficiency of the existing warehouse visual management system is low;
the technical problems to be solved by the application are as follows: how to provide a warehouse visual management system based on the internet of things, which can improve the ex-warehouse sorting efficiency.
The aim of the application can be achieved by the following technical scheme:
the visual warehouse management system based on the Internet of things comprises a warehouse management platform, wherein the warehouse management platform is in communication connection with an order analysis module, a warehouse management module, a warehouse-out monitoring module, an optimization analysis module and a storage module;
the order analysis module is used for managing and analyzing the order picking orders of the warehouse: generating a management period, acquiring all order picking orders in the management period, marking the types of the goods in the order picking orders as the goods values of the order picking orders, acquiring a goods threshold through a storage module, marking the order picking orders with the goods values smaller than the goods threshold as single orders, and marking the goods corresponding to all single orders as single goods; generating a plurality of matching clusters by the matching orders; the method comprises the steps that a single cargo and a matching cluster are sent to a warehouse management platform, and the warehouse management platform receives the single cargo and the matching cluster and then sends the single cargo and the matching cluster to a warehouse management module;
the warehouse management module is used for carrying out management analysis on warehouse warehoused commodities: the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed;
the warehouse-out monitoring module is used for monitoring and analyzing warehouse-out sorting efficiency of the warehouse;
the optimizing analysis module is used for optimizing analysis on the cargo sorting efficiency of the warehouse.
As a preferred embodiment of the present application, the generation process of the matching cluster includes: marking order picking orders with the goods value larger than or equal to the goods threshold value as matching orders, marking the goods types in all the matching orders as matching goods, marking the quantity of the matching orders corresponding to the matching goods as matching values of the matching goods, sorting all the matching goods according to the sequence from large to small of the values of the matching values to obtain a matching sequence, and forming a first matching cluster by the matching goods with the first matching goods in the matching sequence corresponding to all the matching goods in all the matching orders; deleting all matching orders corresponding to the first matching cargos from the picking orders, reconstructing a matching sequence by the rest of the picking orders, and forming a second matching cluster by all matching cargos corresponding to all matching orders in the first matching cargos corresponding to the first matching cargos in the new matching sequence; and the like, until all the matched cargoes complete the distribution of the matched clusters and a plurality of matched clusters are obtained.
As a preferred embodiment of the present application, the specific process of monitoring and analyzing the warehouse sorting efficiency by the warehouse outlet monitoring module includes: marking the order picking order in the management period as a monitoring object, and judging the sorting condition of the goods in the monitoring object:
if the goods in the monitoring objects are sorted by at least one storage space, marking the corresponding monitoring objects as primary objects;
if the goods in the monitoring objects are sorted by at least two storage spaces, marking the corresponding monitoring objects as secondary objects;
otherwise, marking the corresponding monitoring object as a plurality of objects; after the management period is finished, the number of the primary object, the secondary object and the plurality of objects are respectively marked as a primary value YC, a secondary value EC and a plurality of values DC; the sorting coefficient FJ of the management period is obtained by carrying out numerical calculation on the primary value YC, the secondary value EC and the multiple value DC; and judging whether the outgoing sorting efficiency in the management period meets the requirement or not through the sorting coefficient FJ.
As a preferred embodiment of the present application, the specific process of determining whether the outgoing sorting efficiency in the management cycle meets the requirement includes: the sorting threshold value FJmin is obtained through the storage module, and the sorting coefficient FJ of the management period is compared with the sorting threshold value FJmin:
if the sorting coefficient FJ is larger than or equal to the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period meets the requirement;
if the sorting coefficient FJ is smaller than the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period does not meet the requirement, generating an optimized analysis signal and sending the optimized analysis signal to a warehouse management platform, and sending the optimized analysis signal to an optimized analysis module after the warehouse management platform receives the optimized analysis signal.
As a preferred embodiment of the present application, the specific process of optimizing and analyzing the cargo sorting efficiency of the warehouse by the optimizing and analyzing module includes: the method comprises the steps that a plurality of threshold values DCmax are obtained through a storage module, and a plurality of values DC of a management period are compared with the plurality of threshold values DCmax: if the multiple value DC is larger than or equal to the multiple threshold value DCmax, adopting a layout optimization mode to optimize the sorting efficiency; and if the multiple value DC is smaller than the multiple value DCmax, optimizing the sorting efficiency in a blending optimization mode.
As a preferred embodiment of the present application, the specific process of optimizing sorting efficiency by using a layout optimization method includes: the stored goods in the single space and the matched space are distributed again in the next management period;
the specific process for optimizing the sorting efficiency by adopting the allocation optimization mode comprises the following steps: if the two storage spaces corresponding to the secondary object are single spaces, adding the single goods corresponding to the secondary object into the corresponding single spaces; if the two storage spaces of the secondary object are both matching spaces, marking the quantity of cargoes corresponding to the secondary object and the matching spaces as the modulation value of the matching spaces, and adding cargoes corresponding to the secondary object in the matching space with the minimum modulation value into the matching space with the maximum modulation value; and if the two storage spaces corresponding to the secondary object are a single space and a matching space, adding the single goods corresponding to the secondary object into the corresponding matching space.
As a preferred implementation mode of the application, the working method of the warehouse visual management system based on the Internet of things comprises the following steps:
step one: management analysis is carried out on the order picking orders of the warehouse: generating a management period, acquiring all order picking orders in the management period, marking the order picking orders as single orders or matched orders, and generating a plurality of matched clusters by the matched orders;
step two: management analysis is carried out on warehouse warehoused commodities: the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed;
step three: monitoring and analyzing the warehouse discharging and sorting efficiency of a warehouse: marking the order picking order in the management period as a primary object, a secondary object or a plurality of objects, carrying out numerical calculation on the number of the primary object, the secondary object and the plurality of objects to obtain a sorting coefficient FJ, and judging whether the ex-warehouse sorting efficiency of the management period meets the requirement or not through the sorting coefficient FJ;
step four: optimizing and analyzing the cargo sorting efficiency of the warehouse: and acquiring a plurality of thresholds DCmax through a storage module, comparing the plurality of values DC of the management period with the plurality of thresholds DCmax, and marking the sorting efficiency optimization mode as layout optimization or allocation optimization through a comparison result.
The application has the following beneficial effects:
1. the order analysis module can manage and analyze the picked orders of the warehouse, and the goods in the warehouse are classified according to the sorting characteristics in the management period, so that compared with the traditional classification mode according to the types of goods, the single storage space classified according to the sorting characteristics can generally meet all requirements of the sorted orders, and the goods are not required to be picked on the shelves of a plurality of storage spaces when being sorted according to one sorted order, so that the warehouse discharging sorting efficiency of the warehouse is improved;
2. the warehouse management module can manage and analyze warehouse warehoused commodities, and the single goods are matched with the single space, so that the matched clusters are matched with the matched space, the probability that the single storage space can meet all the sorting goods requirements of a single sorting order is greatly improved, the phenomenon that the single order is picked for many times is avoided, and the labor intensity of staff is reduced;
3. the ex-warehouse sorting efficiency can be monitored and analyzed through the ex-warehouse monitoring module, sorting coefficients are obtained through analyzing the actual sorting conditions of sorting orders in a management period, the actual sorting efficiency is fed back through the sorting coefficients, and an optimized analysis signal is generated when the actual sorting efficiency does not meet the requirement, so that the aim of dynamically monitoring the sorting efficiency is fulfilled;
4. the cargo sorting efficiency of the warehouse can be optimized and analyzed through the optimizing and analyzing module, a corresponding sorting efficiency optimizing mode is generated through the distribution of a plurality of values of a pipeline period and a storage space corresponding to a secondary object, and optimized processing measures are adopted to conduct abnormal processing according to different efficiency abnormal conditions, so that the dynamic optimization of the warehouse output sorting efficiency is realized.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. 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.
Example 1
As shown in FIG. 1, the visual warehouse management system based on the Internet of things comprises a warehouse management platform, wherein the warehouse management platform is in communication connection with an order analysis module, a warehouse management module, a warehouse-out monitoring module, an optimization analysis module and a storage module.
The order analysis module is used for managing and analyzing the picking order of the warehouse: generating a management period, acquiring all order picking orders in the management period, marking the types of the goods in the order picking orders as the goods values of the order picking orders, acquiring a goods threshold through a storage module, marking the order picking orders with the goods values smaller than the goods threshold as single orders, and marking the goods corresponding to all single orders as single goods; marking order picking orders with the goods value larger than or equal to the goods threshold value as matching orders, marking the goods types in all the matching orders as matching goods, marking the quantity of the matching orders corresponding to the matching goods as matching values of the matching goods, sorting all the matching goods according to the sequence from large to small of the values of the matching values to obtain a matching sequence, and forming a first matching cluster by the matching goods with the first matching goods in the matching sequence corresponding to all the matching goods in all the matching orders; deleting all matching orders corresponding to the first matching cargos from the picking orders, reconstructing a matching sequence by the rest of the picking orders, and forming a second matching cluster by all matching cargos corresponding to all matching orders in the first matching cargos corresponding to the first matching cargos in the new matching sequence; and the like, until all the matched cargoes complete the distribution of the matched clusters and a plurality of matched clusters are obtained; the method comprises the steps that a single cargo and a matching cluster are sent to a warehouse management platform, and the warehouse management platform receives the single cargo and the matching cluster and then sends the single cargo and the matching cluster to a warehouse management module; the goods sorting orders in the warehouse are managed and analyzed, goods in the warehouse are classified according to sorting characteristics in a management period, and compared with the traditional sorting mode according to the types of goods, all requirements of the sorting orders can be met through a single storage space classified according to the sorting characteristics, goods do not need to be taken from the goods shelves of a plurality of storage spaces when goods are sorted for one sorting order, and accordingly the warehouse discharging sorting efficiency of the warehouse is improved.
The warehouse management module is used for carrying out management analysis on warehouse warehoused commodities: the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed; the warehouse-in commodities of the warehouse are managed and analyzed, and the single goods are matched with the single space, so that the matched clusters are matched with the matched space, the probability that the single storage space can meet the needs of all sorted goods of a single sorting order is greatly improved, the phenomenon that the single order is picked for many times is avoided, and the labor intensity of staff is reduced.
The warehouse-out monitoring module is used for monitoring and analyzing warehouse-out sorting efficiency of the warehouse: marking the order picking order in the management period as a monitoring object, and judging the sorting condition of the goods in the monitoring object: if the goods in the monitoring objects are sorted by at least one storage space, marking the corresponding monitoring objects as primary objects; if the goods in the monitoring objects are sorted by at least two storage spaces, marking the corresponding monitoring objects as secondary objects; otherwise, marking the corresponding monitoring object as a plurality of objects; after the management period is finished, the number of the primary object, the secondary object and the plurality of objects are respectively marked as a primary value YC, a secondary value EC and a plurality of values DC; by the formulaObtaining a sorting coefficient FJ of a management period, wherein alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; the denominator in the formula takes a value of one when the value of the multiple DC is zero; the sorting threshold value FJmin is obtained through the storage module, and the sorting coefficient FJ of the management period is compared with the sorting threshold value FJmin: if the sorting coefficient FJ is larger than or equal to the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period meets the requirement; if the sorting coefficient FJ is smaller than the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period does not meet the requirement, generating an optimized analysis signal and sending the optimized analysis signal to a warehouse management platform, wherein the warehouse management platform receives the optimizationAfter analyzing the signals, sending the optimized analysis signals to an optimized analysis module; and monitoring and analyzing the sorting efficiency of the warehouse, analyzing the actual sorting condition of the sorting orders in the management period to obtain a sorting coefficient, feeding back the actual sorting efficiency through the sorting coefficient, and generating an optimized analysis signal when the actual sorting efficiency does not meet the requirement, so as to achieve the purpose of dynamically monitoring the sorting efficiency.
The optimizing analysis module is used for optimizing and analyzing the cargo sorting efficiency of the warehouse: the method comprises the steps that a plurality of threshold values DCmax are obtained through a storage module, and a plurality of values DC of a management period are compared with the plurality of threshold values DCmax: if the multiple value DC is greater than or equal to the multiple threshold value DCmax, adopting a layout optimization mode to optimize the sorting efficiency: the stored goods in the single space and the matched space are distributed again in the next management period; if the multiple value DC is smaller than the multiple value DCmax, sorting efficiency optimization is performed by adopting a blending optimization mode: if the two storage spaces corresponding to the secondary object are single spaces, adding the single goods corresponding to the secondary object into the corresponding single spaces; if the two storage spaces of the secondary object are both matching spaces, marking the quantity of cargoes corresponding to the secondary object and the matching spaces as the modulation value of the matching spaces, and adding cargoes corresponding to the secondary object in the matching space with the minimum modulation value into the matching space with the maximum modulation value; if the two storage spaces corresponding to the secondary object are a single space and a matching space, adding the single goods corresponding to the secondary object into the corresponding matching space; optimizing and analyzing the cargo sorting efficiency of the warehouse, generating a corresponding sorting efficiency optimizing mode through the distribution of a plurality of values of a pipeline period and a storage space corresponding to a secondary object, and adopting optimized treatment measures to perform exception handling according to different efficiency exception conditions so as to realize the dynamic optimization of the warehouse ex-warehouse sorting efficiency.
Example two
As shown in fig. 2, a warehouse visual management method based on the internet of things comprises the following steps:
step one: management analysis is carried out on the order picking orders of the warehouse: generating a management period, acquiring all order picking orders in the management period, marking the order picking orders as single orders or matched orders, and generating a plurality of matched clusters by the matched orders;
step two: management analysis is carried out on warehouse warehoused commodities: the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed;
step three: monitoring and analyzing the warehouse discharging and sorting efficiency of a warehouse: marking the order picking order in the management period as a primary object, a secondary object or a plurality of objects, carrying out numerical calculation on the number of the primary object, the secondary object and the plurality of objects to obtain a sorting coefficient FJ, and judging whether the ex-warehouse sorting efficiency of the management period meets the requirement or not through the sorting coefficient FJ;
step four: optimizing and analyzing the cargo sorting efficiency of the warehouse: and acquiring a plurality of thresholds DCmax through a storage module, comparing the plurality of values DC of the management period with the plurality of thresholds DCmax, and marking the sorting efficiency optimization mode as layout optimization or allocation optimization through a comparison result.
The visual warehouse management system based on the Internet of things generates a management period when in operation, obtains all order picking orders in the management period, marks the order picking orders as single orders or matched orders, and generates a plurality of matched clusters from the matched orders; the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed; marking the order picking order in the management period as a primary object, a secondary object or a plurality of objects, carrying out numerical calculation on the number of the primary object, the secondary object and the plurality of objects to obtain a sorting coefficient FJ, and judging whether the ex-warehouse sorting efficiency of the management period meets the requirement or not through the sorting coefficient FJ; and acquiring a plurality of thresholds DCmax through a storage module, comparing the plurality of values DC of the management period with the plurality of thresholds DCmax, and marking the sorting efficiency optimization mode as layout optimization or allocation optimization through a comparison result.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula (VI)The method comprises the steps of carrying out a first treatment on the surface of the Collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding sorting coefficient for each group of sample data; substituting the set sorting coefficient and the collected sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 4.68, 2.87 and 2.25 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding sorting coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the sorting coefficient is proportional to the value of the primary data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The visual warehouse management system based on the Internet of things is characterized by comprising a warehouse management platform, wherein the warehouse management platform is in communication connection with an order analysis module, a warehouse management module, a warehouse-out monitoring module, an optimization analysis module and a storage module;
the order analysis module is used for managing and analyzing the order picking orders of the warehouse: generating a management period, acquiring all order picking orders in the management period, marking the types of the goods in the order picking orders as the goods values of the order picking orders, acquiring a goods threshold through a storage module, marking the order picking orders with the goods values smaller than the goods threshold as single orders, and marking the goods corresponding to all single orders as single goods; generating a plurality of matching clusters by the matching orders; the method comprises the steps that a single cargo and a matching cluster are sent to a warehouse management platform, and the warehouse management platform receives the single cargo and the matching cluster and then sends the single cargo and the matching cluster to a warehouse management module;
the warehouse management module is used for carrying out management analysis on warehouse warehoused commodities: the method comprises the steps of calling single goods and matching clusters in the previous management period, dividing a storage space of a warehouse into a plurality of single spaces and a plurality of matching spaces, forming a single cluster by the plurality of single goods, performing one-to-one matching on the single clusters and the single spaces, performing one-to-one matching on the matching clusters and the matching spaces, and then warehousing and putting the goods on shelves according to matching results after the matching is completed;
the warehouse-out monitoring module is used for monitoring and analyzing warehouse-out sorting efficiency of the warehouse;
the optimizing analysis module is used for optimizing analysis on the cargo sorting efficiency of the warehouse.
2. The warehouse visualization management system based on the internet of things of claim 1, wherein the generation process of the matching cluster comprises: marking order picking orders with the goods value larger than or equal to the goods threshold value as matching orders, marking the goods types in all the matching orders as matching goods, marking the quantity of the matching orders corresponding to the matching goods as matching values of the matching goods, sorting all the matching goods according to the sequence from large to small of the values of the matching values to obtain a matching sequence, and forming a first matching cluster by the matching goods with the first matching goods in the matching sequence corresponding to all the matching goods in all the matching orders; deleting all matching orders corresponding to the first matching cargos from the picking orders, reconstructing a matching sequence by the rest of the picking orders, and forming a second matching cluster by all matching cargos corresponding to all matching orders in the first matching cargos corresponding to the first matching cargos in the new matching sequence; and the like, until all the matched cargoes complete the distribution of the matched clusters and a plurality of matched clusters are obtained.
3. The visual warehouse management system based on the internet of things as set forth in claim 2, wherein the specific process of the warehouse outlet monitoring module for monitoring and analyzing the warehouse outlet sorting efficiency comprises: marking the order picking order in the management period as a monitoring object, and judging the sorting condition of the goods in the monitoring object:
if the goods in the monitoring objects are sorted by at least one storage space, marking the corresponding monitoring objects as primary objects;
if the goods in the monitoring objects are sorted by at least two storage spaces, marking the corresponding monitoring objects as secondary objects;
otherwise, marking the corresponding monitoring object as a plurality of objects; after the management period is finished, the number of the primary object, the secondary object and the plurality of objects are respectively marked as a primary value YC, a secondary value EC and a plurality of values DC; the sorting coefficient FJ of the management period is obtained by carrying out numerical calculation on the primary value YC, the secondary value EC and the multiple value DC; and judging whether the outgoing sorting efficiency in the management period meets the requirement or not through the sorting coefficient FJ.
4. A visual management system for warehouses based on internet of things according to claim 3, wherein the specific process of determining whether the outgoing sorting efficiency in the management cycle meets the requirement comprises: the sorting threshold value FJmin is obtained through the storage module, and the sorting coefficient FJ of the management period is compared with the sorting threshold value FJmin:
if the sorting coefficient FJ is larger than or equal to the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period meets the requirement;
if the sorting coefficient FJ is smaller than the sorting threshold FJmin, judging that the ex-warehouse sorting efficiency in the management period does not meet the requirement, generating an optimized analysis signal and sending the optimized analysis signal to a warehouse management platform, and sending the optimized analysis signal to an optimized analysis module after the warehouse management platform receives the optimized analysis signal.
5. The visual warehouse management system based on the internet of things as set forth in claim 4, wherein the optimizing the cargo sorting efficiency of the warehouse by the analyzing module comprises: the method comprises the steps that a plurality of threshold values DCmax are obtained through a storage module, and a plurality of values DC of a management period are compared with the plurality of threshold values DCmax: if the multiple value DC is larger than or equal to the multiple threshold value DCmax, adopting a layout optimization mode to optimize the sorting efficiency; and if the multiple value DC is smaller than the multiple value DCmax, optimizing the sorting efficiency in a blending optimization mode.
6. The visual warehouse management system based on the internet of things as set forth in claim 5, wherein the specific process of optimizing the sorting efficiency by adopting the layout optimization method comprises the following steps: the stored goods in the single space and the matched space are distributed again in the next management period;
the specific process for optimizing the sorting efficiency by adopting the allocation optimization mode comprises the following steps: if the two storage spaces corresponding to the secondary object are single spaces, adding the single goods corresponding to the secondary object into the corresponding single spaces; if the two storage spaces of the secondary object are both matching spaces, marking the quantity of cargoes corresponding to the secondary object and the matching spaces as the modulation value of the matching spaces, and adding cargoes corresponding to the secondary object in the matching space with the minimum modulation value into the matching space with the maximum modulation value; and if the two storage spaces corresponding to the secondary object are a single space and a matching space, adding the single goods corresponding to the secondary object into the corresponding matching space.
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