Digital management system and method for warehousing operation

Abstract

The invention discloses a digital management system and method for warehousing operation. The digital management system comprises a data acquisition module, a central control module and a warehousing management module, relates to the technical field of warehouse management, and solves the technical problem of low operation efficiency of a warehouse management system in the prior art. The method comprises the following steps: classifying storage requirements of goods based on historical goods storage records to obtain a plurality of storage requirement categories; dividing the first warehouse based on the storage requirement category to obtain a plurality of corresponding storage partitions; based on the position information of the transport vehicle, calculating a distribution priority coefficient of each to-be-warehoused warehouse; and storing the to-be-warehoused goods to the corresponding storage positions based on the distribution priority coefficients. The distribution priority coefficient of each to-be-warehoused warehouse is calculated by inputting the predicted inventory allowance, the delivery time and the departure time of the transport vehicle into the formula, the inventory allowance of the to-be-warehoused warehouse and the storage requirement of the to-be-warehoused goods are comprehensively considered, and the operation efficiency of warehouse management is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of warehouse management, and in particular relates to a digital management system and method for warehouse operations. Background Art

[0002] With the continuous deepening of the global supply chain and the rapid development of e-commerce, efficient management and intelligent monitoring of warehousing operations have become the key to improving operational efficiency and reducing costs for enterprises. Traditional warehousing management methods have disadvantages such as cumbersome manual operations and inaccurate data, which are difficult to meet the complexity and real-time requirements of modern warehousing operations. The present invention aims to propose a digital management system for warehousing operations, which integrates information technology to achieve comprehensive digital management of warehousing operations to meet market demand.

[0003] The prior art predicts the shipment volume of each target warehouse respectively, estimates the inventory balance according to the shipment volume of the target warehouse, and determines the best target warehouse based on the inventory capacity; however, when the storage environment of the warehouse is inconsistent with the storage requirements of the goods, even if the warehouse has sufficient inventory balance to store the goods, the storage environment of the warehouse does not meet the storage requirements of the goods, so that the warehouse still cannot be used to store the corresponding goods; the prior art is difficult to accurately obtain the inventory balance of the warehouse that meets the storage requirements of the goods, resulting in low operating efficiency of the warehouse management system; in addition, the warehouse management system of the prior art also has the problem of large loss of goods during transportation.

[0004] The present invention provides a digital management system and method for warehousing operations to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a digital management system and method for warehousing operations, which are used to solve the technical problems of low operating efficiency and large loss of goods during transportation in the prior art warehousing management system.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides a digital management system for warehousing operations, comprising: a central control module, and a data acquisition module and a warehousing management module connected thereto;

[0007] The data acquisition module is used to obtain historical cargo storage records of several target warehouses; monitor the location information of the transport vehicle and the environmental data outside the vehicle in real time, and obtain basic information of the cargo to be stored in the transport vehicle; the historical cargo storage records include the storage requirements and space occupied by various types of cargo; the environmental data include the temperature and humidity outside the vehicle; the basic information includes the storage time, the quantity of cargo and the storage requirements, and the storage requirements include the temperature requirements and the humidity requirements;

[0008] The central control module is used to classify the storage requirements of goods based on historical goods storage records to obtain a number of storage requirement categories; divide each target warehouse into a first warehouse and a second warehouse based on the historical goods storage records; divide the first warehouse based on the storage requirement categories to obtain a number of corresponding storage partitions; and save the mapping relationship between the several storage requirement categories and the corresponding storage partitions in each target warehouse into a database;

[0009] The warehouse management module is used to input the storage requirements of the goods to be stored into the database for matching, and obtain the warehouse to be stored; calculate the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle; store the goods to be stored in the corresponding storage location based on the distribution priority coefficient; wherein the storage location includes a plurality of storage partitions and a second warehouse.

[0010] Preferably, the dividing each target warehouse into a first warehouse and a second warehouse based on historical cargo storage records includes:

[0011] A1: Extract the storage requirements and space occupied by various types of goods from the historical goods storage records;

[0012] A2: Determine whether the space occupied by each type of goods is less than the preset storage space threshold; if yes, the corresponding goods are marked as uncommon goods; if no, the corresponding goods are marked as common goods;

[0013] A3: Set the sum of the space occupied by several infrequently used goods as the total inventory capacity of the second warehouse;

[0014] A4: Subtract the total inventory capacity of the second warehouse from the total inventory capacity of the target warehouse and set the difference as the total inventory capacity of the first warehouse.

[0015] Preferably, the dividing the first warehouse based on the storage requirement category includes:

[0016] B1: Extract the storage requirements and space occupied by various types of goods among the commonly used goods, and obtain the total inventory capacity of the first warehouse;

[0017] B2: Divide the occupied space size corresponding to each storage requirement category by the total inventory capacity of the first warehouse to obtain the corresponding capacity ratio;

[0018] B3: Sort the capacity proportions corresponding to each storage requirement category in descending order to obtain a layout sequence;

[0019] B4: Take the storage requirement categories from the layout sequence in turn, multiply the corresponding capacity ratio by the total inventory capacity of the first warehouse to obtain the corresponding area space size, and mark the corresponding area as a storage partition.

[0020] Preferably, the step of inputting the storage requirements of the goods to be stored into a database for matching includes:

[0021] Extract the storage requirements of the goods to be received, and obtain the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse from the database; determine whether the storage requirements of the goods to be received match those of each target warehouse; if yes, mark the corresponding target warehouse as a warehouse to be received; if not, mark the corresponding target warehouse as an unmatched warehouse.

[0022] Preferably, the calculation of the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle includes:

[0023] G1: Extract the location information of the transport vehicle and obtain the location information of each warehouse to be stored;

[0024] G2: Input the location information of the transport vehicles and each warehouse to be stored into the map system to obtain the corresponding transport route;

[0025] G3: Determine the delivery time of the goods to be stored at the corresponding storage partitions in each warehouse to be stored based on the transportation routes of the transportation vehicles and each warehouse to be stored;

[0026] G4: Determine the estimated inventory balance of the corresponding storage partition in each warehouse to be received based on the delivery time;

[0027] G5: By formula Calculate the distribution priority coefficient CYXj of each warehouse to be stocked; where YKCj is the estimated inventory balance of warehouse to be stocked j, SDSj is the delivery time of the transport vehicle to warehouse to be stocked j, and CFS is the departure time of the transport vehicle; a and b are both proportional coefficients greater than 0; j = 1, 2, ..., m, where m is the total number of warehouses to be stocked.

[0028] The present invention obtains a transportation route by inputting the location information of the transport vehicle and each warehouse to be stored into a map system, and then determines the delivery time of the goods to be stored to the corresponding storage partition in each warehouse to be stored according to the transportation route; determines the estimated inventory balance of the corresponding storage partition in each warehouse to be stored based on the delivery time, and calculates the distribution priority coefficient of each warehouse to be stored by inputting the estimated inventory balance, the delivery time and the departure time of the transport vehicle into a formula, so that the calculated distribution priority coefficient comprehensively considers the inventory balance of the warehouse to be stored and the storage requirements of the goods to be stored, which is beneficial to improving the operating efficiency of warehousing management and reducing the loss of the goods to be stored during transportation.

[0029] Preferably, the method for obtaining the proportional coefficient a includes:

[0030] Obtain the shipment volume of the corresponding storage partitions in each warehouse to be stored in a number of consecutive cycles, and draw the corresponding shipment volume change curve; calculate the first-order derivative function of the shipment volume change curve of the corresponding storage partition in each warehouse to be stored in, and obtain the corresponding shipment volume derivative function fj(t); when the function value of the function |fj(t)| is the maximum, calculate the function value corresponding to the shipment volume derivative function fj(t), and mark the corresponding function value as the change characteristic value BHTj; through the formula Calculate the proportionality coefficient a; where e is a natural constant; t=1, 2, ..., k, where k is the total number of consecutive cycles.

[0031] The present invention draws a corresponding shipment volume change curve according to the shipment volume of the corresponding storage partition in each warehouse to be entered in several consecutive cycles, and derives the shipment volume change curve to obtain a shipment volume derivative function, so that the calculated shipment volume derivative function can reflect the stability of the shipment volume of the corresponding storage partition in each warehouse to be entered in several consecutive cycles; for the warehouse to be entered with a high degree of stability, the larger the calculated proportional coefficient a is, the larger the distribution priority coefficient calculated subsequently is, which is conducive to more accurately reflecting the priority of each warehouse to be entered.

[0032] It should be noted that the corresponding storage partition in each warehouse to be stored refers to the storage partition that meets the storage requirements of the goods to be stored.

[0033] Preferably, the method for obtaining the proportional coefficient b includes:

[0034] Obtain the storage requirement category of the goods to be stored and the environmental data outside the transport vehicle compartment, extract the temperature and humidity requirements from the storage requirement category of the goods to be stored; use the formula b = 1 + 0.6 × e -|WDY-WDC| +0.4×e -100×|SDY-SDC| Calculate the proportionality coefficient b; where WDY is the temperature requirement, SDY is the humidity requirement, WDC is the outside temperature, and SDC is the outside humidity.

[0035] The present invention obtains the storage requirements of the goods to be stored and the environmental data outside the carriage of the transport vehicle, and calculates the proportional coefficient b through a formula according to the temperature requirement and the temperature difference outside the vehicle, the humidity requirement and the humidity difference outside the vehicle, so that the proportional coefficient b can be adjusted according to the storage requirements of different goods to be stored and the adaptability to different external environments, which is convenient for the subsequent calculation of the distribution priority coefficient of each warehouse to be stored, and the influence of the distribution time can be dynamically set, which is conducive to more accurately reflecting the priority of each warehouse to be stored.

[0036] It should be noted that the greater the difference between the temperature requirement in the storage requirement category of the goods to be stored and the temperature outside the vehicle, and the greater the difference between the humidity requirement and the humidity outside the vehicle, the smaller the calculated proportional coefficient b is, which makes the distribution priority coefficient calculated subsequently larger.

[0037] Preferably, the method of determining the estimated inventory balance of the corresponding storage partition in each warehouse to be stored based on the delivery time includes:

[0038] Extract the arrival time of the transport vehicle and each warehouse to be entered, obtain the initial inventory of the storage partition in each warehouse to be entered that meets the storage requirements of the goods to be entered, obtain the shipment and purchase quantities of each warehouse to be entered before the delivery time, and calculate the estimated inventory balance YKCj by the formula YKCj=KZYj-SCLj-JHLj+CHLj; wherein KZYj is the total inventory capacity of the corresponding storage partition in warehouse to be entered j, SCLj is the initial inventory of the corresponding storage partition in warehouse to be entered j, JHLj is the purchase quantity of the corresponding storage partition in warehouse to be entered j before the delivery time, and CHLj is the shipment quantity of the corresponding storage partition in warehouse to be entered j before the delivery time; the initial inventory is the actual inventory of the corresponding storage partition in each warehouse to be entered when the transport vehicle departs.

[0039] The present invention obtains the total inventory capacity and initial inventory of the corresponding storage partition in each warehouse to be entered, extracts the delivery time of the transport vehicle and each warehouse to be entered, obtains the shipment volume and purchase volume of each warehouse to be entered before the delivery time, subtracts the initial inventory volume and purchase volume from the total inventory capacity of the corresponding partition in each warehouse to be entered, and adds the shipment volume to obtain the estimated inventory balance of the corresponding storage partition in each warehouse to be entered; it is convenient to calculate the distribution priority coefficient of each warehouse to be entered according to the estimated inventory balance in the subsequent calculation, which is conducive to more accurately reflecting the influence of the inventory balance on the distribution priority of the warehouse to be entered, thereby helping to improve the operation efficiency of the warehouse management system.

[0040] Preferably, storing the goods to be stored in corresponding storage locations based on the delivery priority coefficient includes:

[0041] The distribution priority coefficient of each warehouse to be entered is extracted, and the warehouse to be entered with the largest distribution priority coefficient is marked as the actual entry warehouse; the transport vehicle transports the goods to be entered to the actual entry warehouse, and stores the goods to be entered in the corresponding storage partition of the actual entry warehouse.

[0042] A second aspect of the present invention provides a digital management method for warehousing operations, comprising:

[0043] S1: Obtain historical cargo storage records of several target warehouses; monitor the location information of transport vehicles and environmental data outside the carriages in real time, and obtain basic information of cargo to be stored in the transport vehicles;

[0044] S2: Classify the storage requirements of the goods based on the historical goods storage records to obtain several storage requirement categories;

[0045] S3: Divide each target warehouse into a first warehouse and a second warehouse based on historical cargo storage records;

[0046] S4: Divide the first warehouse based on the storage requirement category to obtain a number of corresponding storage partitions;

[0047] S5: saving the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse into a database;

[0048] S6: input the storage requirements of the goods to be stored into the database for matching, and obtain the warehouse to be stored;

[0049] S7: Calculate the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle;

[0050] S8: Based on the distribution priority coefficient, the goods to be stored are stored in the corresponding storage location.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. The present invention obtains a transportation route by inputting the location information of the transport vehicle and each warehouse to be stored into a map system, and then determines the delivery time of the goods to be stored to the corresponding storage partition in each warehouse to be stored according to the transportation route; determines the estimated inventory balance of the corresponding storage partition in each warehouse to be stored based on the delivery time, and calculates the distribution priority coefficient of each warehouse to be stored by inputting the estimated inventory balance, delivery time and departure time of the transport vehicle into a formula, so that the calculated distribution priority coefficient comprehensively considers the inventory balance of the warehouse to be stored and the storage requirements of the goods to be stored, which is beneficial to improving the operating efficiency of warehousing management and reducing the loss of the goods to be stored during transportation.

[0053] 2. The present invention obtains the total inventory capacity and initial inventory of the corresponding storage partitions in each warehouse to be stored, extracts the specific time when the transport vehicle arrives at each warehouse, and collects the data on the shipment and purchase of each warehouse before the delivery time. Based on this information, the estimated inventory balance of the corresponding storage partition in each warehouse to be stored is calculated, that is, the sum of the initial inventory and the purchase is subtracted from the total inventory capacity, and then the shipment is added. This process makes it possible to more accurately calculate the distribution priority coefficient of each warehouse to be stored based on the estimated inventory balance, thereby more accurately reflecting the impact of the inventory balance on the distribution priority, thereby effectively improving the operating efficiency of the entire warehouse management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It is an overall flow chart of the digital management method for warehousing operations of the present invention;

[0056] Figure 2 It is a principle schematic diagram of the digital management system for warehousing operations of the present invention;

[0057] Figure 3 This is a flow chart of dividing the first warehouse based on storage requirement categories in the present invention. DETAILED DESCRIPTION

[0058] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1-Figure 3 , the first aspect of the present invention provides a digital management system for warehousing operations, including: a central control module, and a data acquisition module and a warehousing management module connected thereto;

[0060] Data collection module: used to obtain historical cargo storage records of several target warehouses; monitor the location information of transport vehicles and environmental data outside the carriages in real time, and obtain basic information about the cargo to be stored in the transport vehicles; among them, historical cargo storage records include storage requirements and space occupied by various types of cargo; environmental data include temperature and humidity outside the vehicle; basic information includes storage time, cargo quantity and storage requirements, and storage requirements include temperature requirements and humidity requirements;

[0061] Central control module: used to classify the storage requirements of goods based on historical goods storage records to obtain several storage requirement categories; divide each target warehouse into a first warehouse and a second warehouse based on the historical goods storage records; divide the first warehouse based on the storage requirement categories to obtain several corresponding storage partitions; save the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse into the database;

[0062] Warehouse management module: used to input the storage requirements of the goods to be warehoused into the database for matching, and obtain the warehouses to be warehoused; calculate the distribution priority coefficient of each warehouse to be warehoused based on the location information of the transport vehicle; store the goods to be warehoused in the corresponding storage location based on the distribution priority coefficient; wherein the storage location includes several storage partitions and a second warehouse.

[0063] In this embodiment, each target warehouse is divided into a first warehouse and a second warehouse based on historical cargo storage records, including:

[0064] A1: Extract the storage requirements and space occupied by various types of goods from the historical goods storage records;

[0065] A2: Determine whether the space occupied by each type of goods is less than the preset storage space threshold; if yes, the corresponding goods are marked as uncommon goods; if no, the corresponding goods are marked as common goods;

[0066] A3: Set the sum of the space occupied by several infrequently used goods as the total inventory capacity of the second warehouse;

[0067] A4: Subtract the total inventory capacity of the second warehouse from the total inventory capacity of the target warehouse and set the difference as the total inventory capacity of the first warehouse.

[0068] For example, the total inventory capacity of the target warehouse is set to 140m 3 The preset storage space threshold is 20m 3 , assuming that the space occupied by cargo A is 16m 3 , the space occupied by cargo B is 25m 3 , the space occupied by cargo C is 18m 3 , the space occupied by cargo D is 30m 3 ; Since the space occupied by goods A and C is less than the preset storage space threshold, goods A and C are marked as uncommon goods; Since the space occupied by goods B and D is greater than the preset storage space threshold, goods B is marked as common goods; The total space occupied by uncommon goods is 34m 3 Set to the total inventory capacity of the second warehouse; set the total inventory capacity of the target warehouse to 140m 3 Minus the total inventory capacity of the second warehouse 34m 3 The difference is 106m 3 Set to the total inventory capacity of the first warehouse.

[0069] In this embodiment, the first warehouse is divided based on the storage requirement category, including:

[0070] B1: Extract the storage requirements and space occupied by various types of goods among the commonly used goods, and obtain the total inventory capacity of the first warehouse;

[0071] B2: Divide the occupied space size corresponding to each storage requirement category by the total inventory capacity of the first warehouse to obtain the corresponding capacity ratio;

[0072] B3: Sort the capacity proportions corresponding to each storage requirement category in descending order to obtain a layout sequence;

[0073] B4: Take the storage requirement categories from the layout sequence in turn, multiply the corresponding capacity ratio by the total inventory capacity of the first warehouse to obtain the corresponding area space size, and mark the corresponding area as a storage partition.

[0074] For example, the total inventory capacity of the first warehouse is set to 106m 3 Among the commonly used goods, the storage requirements for Goods B are as follows: the temperature requirement is 7°C, the humidity requirement is 50%, and the space occupied is 25m 3 The storage requirements for cargo D are -18°C, 40% humidity, and 30m2 of space. 3 The storage requirements for cargo E are as follows: temperature requirement is 7°C, humidity requirement is 50%, and the space occupied is 40m 3 ; Since the storage requirements of goods B and goods E are the same, the storage requirements of goods B and goods E are marked as storage requirement 1. The space occupied by storage requirement 1 is 65m 3 ; Mark the storage requirement of cargo D as storage requirement 2. The space occupied by storage requirement 2 is 30m 3 ; Divide the occupied space size corresponding to each storage requirement category by the total inventory capacity of the first warehouse, and obtain the capacity share of storage requirement 1 is 61.32%, and the capacity share of storage requirement 2 is 28.30%; Sort the capacity share corresponding to each storage requirement category in order from large to small to obtain a layout sequence; Take the storage requirement categories from the layout sequence in turn, multiply the corresponding capacity share by the total inventory capacity of the first warehouse to obtain the corresponding area space size, and mark the corresponding area as a storage partition.

[0075] Exemplarily, the mapping relationship between several storage requirement categories and corresponding storage partitions in the database of this embodiment is shown in the following table:

[0076] Storage requirement category Storage partition Storage requirements 1 (temperature requirement 7°C, humidity requirement 50%) Storage partition 1 Storage requirement 2 (temperature requirement -18°C, humidity requirement 40%) Storage partition 2

[0077] In this embodiment, the storage requirements of the goods to be stored are input into the database for matching, including:

[0078] Extract the storage requirements of the goods to be received, and obtain the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse from the database; determine whether the storage requirements of the goods to be received match those of each target warehouse; if yes, mark the corresponding target warehouse as a warehouse to be received; if not, mark the corresponding target warehouse as an unmatched warehouse.

[0079] For example, assume that there are 3 target warehouses in total, target warehouse 1 has storage partition 1 that meets storage requirement 1 and storage partition 2 that meets storage requirement 2, target warehouse 2 has storage partition 1 that meets storage requirement 1, and target warehouse 3 can only store goods with a temperature requirement of normal temperature; the storage requirement for the goods to be entered into the warehouse is set to storage requirement 1; since the storage requirements of the goods to be entered into the warehouse match target warehouse 1, match target warehouse 2, and do not match target warehouse 3, target warehouse 1 and target warehouse 2 are marked as warehouses to be entered into the warehouse, and target warehouse 3 is marked as an unmatched warehouse.

[0080] In this embodiment, the distribution priority coefficient of each warehouse to be stored is calculated based on the location information of the transport vehicle, including:

[0081] G1: Extract the location information of the transport vehicle and obtain the location information of each warehouse to be stored;

[0082] G2: Input the location information of the transport vehicles and each warehouse to be stored into the map system to obtain the corresponding transport route;

[0083] G3: Determine the delivery time of the goods to be stored at the corresponding storage partitions in each warehouse to be stored based on the transportation routes of the transportation vehicles and each warehouse to be stored;

[0084] G4: Determine the estimated inventory balance of the corresponding storage partition in each warehouse to be received based on the delivery time;

[0085] G5: By formula Calculate the distribution priority coefficient CYXj of each warehouse to be stocked; where YKCj is the estimated inventory balance of warehouse to be stocked j, SDSj is the delivery time of the transport vehicle to warehouse to be stocked j, and CFS is the departure time of the transport vehicle; a and b are both proportional coefficients greater than 0; j = 1, 2, ..., m, where m is the total number of warehouses to be stocked.

[0086] For example, the proportional coefficients a=0.74 and b=1.084 are set; the estimated inventory balance KCY1 of the warehouse 1 to be received is 50m 3 The arrival time of the transport vehicle at the warehouse 1 to be entered is 17:00 on November 20, 2020, and the departure time CFS of the transport vehicle is 13:00 on November 20, 2020; the distribution priority coefficient CYX1=22.096 of the warehouse 1 to be entered is calculated by the formula.

[0087] The present invention obtains a transportation route by inputting the location information of the transport vehicle and each warehouse to be stored into a map system, and then determines the delivery time of the goods to be stored to the corresponding storage partition in each warehouse to be stored according to the transportation route; determines the estimated inventory balance of the corresponding storage partition in each warehouse to be stored based on the delivery time, and calculates the distribution priority coefficient of each warehouse to be stored by inputting the estimated inventory balance, the delivery time and the departure time of the transport vehicle into a formula, so that the calculated distribution priority coefficient comprehensively considers the inventory balance of the warehouse to be stored and the storage requirements of the goods to be stored, which is beneficial to improving the operating efficiency of warehousing management and reducing the loss of the goods to be stored during transportation.

[0088] In this embodiment, the method for obtaining the proportional coefficient a includes:

[0089] Obtain the shipment volume of the corresponding storage partitions in each warehouse to be stored in a number of consecutive cycles, and draw the corresponding shipment volume change curve; calculate the first-order derivative function of the shipment volume change curve of the corresponding storage partition in each warehouse to be stored in, and obtain the corresponding shipment volume derivative function fj(t); when the function value of the function |fj(t)| is the maximum, calculate the function value corresponding to the shipment volume derivative function fj(t), and mark the corresponding function value as the change characteristic value BHTj; through the formula Calculate the proportionality coefficient a; where e is a natural constant; t=1, 2, ..., k, where k is the total number of consecutive cycles.

[0090] Exemplarily, the change characteristic value BHT1 of the warehouse 1 to be stored is set to 3, and the proportional coefficient a is calculated by the formula to be 0.74.

[0091] The present invention draws a corresponding shipment volume change curve according to the shipment volume of the corresponding storage partition in each warehouse to be entered in several consecutive cycles, and derives the shipment volume change curve to obtain a shipment volume derivative function, so that the calculated shipment volume derivative function can reflect the stability of the shipment volume of the corresponding storage partition in each warehouse to be entered in several consecutive cycles; for the warehouse to be entered with a high degree of stability, the larger the calculated proportional coefficient a is, the larger the distribution priority coefficient calculated subsequently is, which is conducive to more accurately reflecting the priority of each warehouse to be entered.

[0092] It should be noted that the corresponding storage partition in each warehouse to be stored refers to the storage partition that meets the storage requirements of the goods to be stored.

[0093] In this embodiment, the method for obtaining the proportional coefficient b includes:

[0094] Obtain the storage requirement category of the goods to be stored and the environmental data outside the transport vehicle compartment, extract the temperature and humidity requirements from the storage requirement category of the goods to be stored; use the formula b = 1 + 0.6 × e -|WDY-WDC| +0.4×e-100×|SDY-SDC| Calculate the proportionality coefficient b; where WDY is the temperature requirement, SDY is the humidity requirement, WDC is the outside temperature, and SDC is the outside humidity.

[0095] Exemplarily, the storage requirement category of the goods to be stored is set to a temperature requirement of 7° C. and a humidity requirement of 50%. The outside temperature WDC outside the carriage of the transport vehicle is 10° C. and the outside humidity SDC is 48%. The proportional coefficient b is calculated by the formula to be 1.084.

[0096] The present invention obtains the storage requirements of the goods to be stored and the environmental data outside the carriage of the transport vehicle, and calculates the proportional coefficient b through a formula according to the temperature requirement and the temperature difference outside the vehicle, the humidity requirement and the humidity difference outside the vehicle, so that the proportional coefficient b can be adjusted according to the storage requirements of different goods to be stored and the adaptability to different external environments, which is convenient for the subsequent calculation of the distribution priority coefficient of each warehouse to be stored, and the influence of the distribution time can be dynamically set, which is conducive to more accurately reflecting the priority of each warehouse to be stored.

[0097] It should be noted that the greater the difference between the temperature requirement in the storage requirement category of the goods to be stored and the temperature outside the vehicle, and the greater the difference between the humidity requirement and the humidity outside the vehicle, the smaller the calculated proportional coefficient b is, which makes the distribution priority coefficient calculated subsequently larger.

[0098] In this embodiment, the estimated inventory balance of the corresponding storage partition in each warehouse to be received is determined based on the delivery time, including:

[0099] Extract the arrival time of the transport vehicle and each warehouse to be entered, obtain the initial inventory of the storage partition in each warehouse to be entered that meets the storage requirements of the goods to be entered, obtain the shipment and purchase quantities of each warehouse to be entered before the delivery time, and calculate the estimated inventory balance YKCj by the formula YKCj=KZYj-SCLj-JHLj+CHLj; wherein KZYj is the total inventory capacity of the corresponding storage partition in warehouse to be entered j, SCLj is the initial inventory of the corresponding storage partition in warehouse to be entered j, JHLj is the purchase quantity of the corresponding storage partition in warehouse to be entered j before the delivery time, and CHLj is the shipment quantity of the corresponding storage partition in warehouse to be entered j before the delivery time; the initial inventory is the actual inventory of the corresponding storage partition in each warehouse to be entered when the transport vehicle departs.

[0100] For example, the total inventory capacity of the corresponding storage partition in the warehouse to be stored 1 is set to KZY1 = 100m 3 , the initial inventory of the corresponding storage partition in the warehouse j to be stored is SCL1 = 40m 3 , the incoming quantity of the corresponding storage partition in the warehouse j before the delivery time JHL1=30m 3, the shipment volume of the corresponding storage partition in the warehouse j before the delivery time CHL1=20m 3 ; The estimated inventory balance of warehouse 1 to be received is calculated by the formula YKC1=50m 3 .

[0101] In this embodiment, storing the goods to be stored in the corresponding storage location based on the delivery priority coefficient includes:

[0102] The distribution priority coefficient of each warehouse to be entered is extracted, and the warehouse to be entered with the largest distribution priority coefficient is marked as the actual entry warehouse; the transport vehicle transports the goods to be entered to the actual entry warehouse, and stores the goods to be entered in the corresponding storage partition of the actual entry warehouse.

[0103] For example, the distribution priority coefficient of warehouse 1 to be entered is set to 22.096, and the distribution priority coefficient of warehouse 2 to be entered is set to 21; since the distribution priority coefficient of warehouse 1 to be entered is the largest, warehouse 1 to be entered is marked as the actual entry warehouse, and the transport vehicle transports the goods to be entered to warehouse 1 to be entered, and stores the goods to be entered in storage partition 1 of warehouse 1 to be entered.

[0104] A second aspect of the present invention provides a digital management method for warehousing operations, comprising:

[0105] S1: Obtain historical cargo storage records of several target warehouses; monitor the location information of transport vehicles and environmental data outside the carriages in real time, and obtain basic information of cargo to be stored in the transport vehicles;

[0106] S2: Classify the storage requirements of the goods based on the historical goods storage records to obtain several storage requirement categories;

[0107] S3: Divide each target warehouse into a first warehouse and a second warehouse based on historical cargo storage records;

[0108] S4: Divide the first warehouse based on the storage requirement category to obtain a number of corresponding storage partitions;

[0109] S5: saving the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse into a database;

[0110] S6: input the storage requirements of the goods to be stored into the database for matching, and obtain the warehouse to be stored;

[0111] S7: Calculate the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle;

[0112] S8: Based on the distribution priority coefficient, the goods to be stored are stored in the corresponding storage location.

[0113] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0114] Working principle of the present invention:

[0115] The present invention obtains historical cargo storage records of several target warehouses; monitors the location information of transport vehicles and the environmental data outside the carriage in real time, and obtains basic information of the cargo to be stored in the transport vehicles; classifies the storage requirements of the cargo based on the historical cargo storage records to obtain several storage requirement categories; divides each target warehouse into a first warehouse and a second warehouse based on the historical cargo storage records; divides the first warehouse based on the storage requirement categories to obtain several corresponding storage partitions; saves the mapping relationship between the several storage requirement categories and the corresponding storage partitions in each target warehouse into a database; inputs the storage requirements of the cargo to be stored into the database for matching to obtain the warehouse to be stored; calculates the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle; and stores the cargo to be stored in the corresponding storage position based on the distribution priority coefficient.

[0116] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A digital management system for warehousing operations, comprising: The central control module, and the data acquisition module and warehouse management module connected thereto; characterized in that: The data acquisition module is used to obtain historical cargo storage records of several target warehouses, location information of transport vehicles and environmental data outside the vehicle compartment, and basic information of cargo to be stored in the transport vehicles; the historical cargo storage records include storage requirements and space occupied by various types of cargo; environmental data include temperature and humidity outside the vehicle; basic information includes storage time, cargo quantity and storage requirements; The central control module is used to classify the storage requirements of goods based on historical goods storage records to obtain a number of storage requirement categories; divide the target warehouse based on the historical storage records and storage requirement categories to obtain a number of corresponding storage partitions; and save the mapping relationship between the several storage requirement categories and the corresponding storage partitions in each target warehouse into a database; The warehouse management module is used to input the storage requirements of the goods to be stored into the database for matching, and obtain the warehouse to be stored; calculate the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle; store the goods to be stored in the corresponding storage location based on the distribution priority coefficient; wherein the storage location includes a plurality of storage partitions and a second warehouse.

2. A digital management system for warehousing operations according to claim 1, characterized in that: The target warehouses are divided based on historical storage records and storage requirement categories, including: A1: Extract the storage requirements and space occupied by various types of goods from the historical goods storage records; A2: Determine whether the space occupied by each type of goods is less than the preset storage space threshold; if yes, the corresponding goods are marked as uncommon goods; if no, the corresponding goods are marked as common goods; A3: Set the sum of the space occupied by several infrequently used goods as the total inventory capacity of the second warehouse; A4: Set the difference between the total inventory capacity of the target warehouse and the total inventory capacity of the second warehouse as the total inventory capacity of the first warehouse. A5: Divide the first warehouse based on the storage requirement categories to obtain a number of corresponding storage partitions.

3. A digital management system for warehousing operations according to claim 2, characterized in that: The dividing the first warehouse based on the storage requirement category includes: B1: Extract the storage requirements and space occupied by various types of goods among the commonly used goods, and obtain the total inventory capacity of the first warehouse; B2: Divide the occupied space size corresponding to each storage requirement category by the total inventory capacity of the first warehouse to obtain the corresponding capacity ratio; B3: Sort the capacity proportions corresponding to each storage requirement category in descending order to obtain a layout sequence; B4: Take the storage requirement categories from the layout sequence in turn, multiply the corresponding capacity ratio by the total inventory capacity of the first warehouse to obtain the corresponding area space size, and mark the corresponding area as a storage partition.

4. A digital management system for warehousing operations according to claim 1, characterized in that: The step of inputting the storage requirements of the goods to be stored into the database for matching includes: Extract the storage requirements of the goods to be received, and obtain the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse from the database; determine whether the storage requirements of the goods to be received match those of each target warehouse; if yes, mark the corresponding target warehouse as a warehouse to be received; if not, mark the corresponding target warehouse as an unmatched warehouse.

5. A digital management system for warehousing operations according to claim 1, characterized in that: The calculation of the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle includes: G1: Extract the location information of the transport vehicle and obtain the location information of each warehouse to be stored; G2: Input the location information of the transport vehicles and each warehouse to be stored into the map system to obtain the corresponding transport route; G3: Determine the delivery time of the goods to be stored at the corresponding storage partitions in each warehouse to be stored based on the transportation routes of the transportation vehicles and each warehouse to be stored; G4: Determine the estimated inventory balance of the corresponding storage partition in each warehouse to be received based on the delivery time; G5: By formula Calculate the distribution priority coefficient CYXj of each warehouse to be stocked; where YKCj is the estimated inventory balance of warehouse to be stocked j, SDSj is the delivery time of the transport vehicle to warehouse to be stocked j, and CFS is the departure time of the transport vehicle; a and b are both proportional coefficients greater than 0; j = 1, 2, ..., m, where m is the total number of warehouses to be stocked.

6. A digital management system for warehousing operations according to claim 5, characterized in that: The method for obtaining the proportional coefficient a includes: Obtain the shipment volume of the corresponding storage partitions in each warehouse to be stored in a number of consecutive cycles, and draw the corresponding shipment volume change curve; calculate the first-order derivative function of the shipment volume change curve of the corresponding storage partition in each warehouse to be stored in, and obtain the corresponding shipment volume derivative function fj(t); when the function value of the function |fj(t)| is the maximum, calculate the function value corresponding to the shipment volume derivative function fj(t), and mark the corresponding function value as the change characteristic value BHTj; through the formula Calculate the proportionality coefficient a; where e is a natural constant; t=1, 2, ..., k, where k is the total number of consecutive cycles.

7. A digital management system for warehousing operations according to claim 5, characterized in that: The method for obtaining the proportional coefficient b includes: Obtain the storage requirement category of the goods to be stored and the environmental data outside the transport vehicle compartment, extract the temperature and humidity requirements from the storage requirement category of the goods to be stored; use the formula b = 1 + 0.6 × e -|WDY-WDC| +0.4×e -100×|SDY-SDC| Calculate the proportionality coefficient b; where WDY is the temperature requirement, SDY is the humidity requirement, WDC is the outside temperature, and SDC is the outside humidity.

8. A digital management system for warehousing operations according to claim 5, characterized in that: The method of determining the estimated inventory balance of the corresponding storage partition in each warehouse to be received based on the delivery time includes: Extract the delivery time of the transport vehicle and each warehouse to be entered, obtain the initial inventory of the storage partition in each warehouse to be entered that meets the storage requirements of the goods to be entered, obtain the shipment and purchase quantities of each warehouse to be entered before the delivery time, and calculate the estimated inventory balance YKCj by the formula YKCj=KZYj-SCLj-JHLj+CHLj; among which KZYj is the total inventory capacity of the corresponding storage partition in warehouse to be entered j, SCLj is the initial inventory of the corresponding storage partition in warehouse to be entered j, JHLj is the purchase quantity of the corresponding storage partition in warehouse to be entered j before the delivery time, and CHLj is the shipment quantity of the corresponding storage partition in warehouse to be entered j before the delivery time.

9. A digital management system for warehousing operations according to claim 1, characterized in that: The storing of the goods to be stored in the corresponding storage location based on the distribution priority coefficient includes: The distribution priority coefficient of each warehouse to be entered is extracted, and the warehouse to be entered with the largest distribution priority coefficient is marked as the actual entry warehouse; the transport vehicle transports the goods to be entered to the actual entry warehouse, and stores the goods to be entered in the corresponding storage partition of the actual entry warehouse.

10. A digital management method for warehousing operations, based on the digital management system for warehousing operations according to any one of claims 1 to 9, characterized in that: include: S1: Obtain historical cargo storage records of several target warehouses; monitor the location information of transport vehicles and environmental data outside the carriages in real time, and obtain basic information of cargo to be stored in the transport vehicles; S2: Classify the storage requirements of the goods based on the historical goods storage records to obtain several storage requirement categories; S3: Divide each target warehouse into a first warehouse and a second warehouse based on historical cargo storage records; S4: Divide the first warehouse based on the storage requirement category to obtain a number of corresponding storage partitions; S5: saving the mapping relationship between several storage requirement categories and corresponding storage partitions in each target warehouse into a database; S6: input the storage requirements of the goods to be stored into the database for matching, and obtain the warehouse to be stored; S7: Calculate the distribution priority coefficient of each warehouse to be stored based on the location information of the transport vehicle; S8: Based on the distribution priority coefficient, the goods to be stored are stored in the corresponding storage location.

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