Intelligent logistics management method and system

Abstract

The invention discloses an intelligent logistics management method and system, and the method comprises the steps: building a database through inputting the weights and distribution addresses of all cargoes in a logistics warehouse, selecting N cargoes in the warehouse for distribution, and obtaining the weight and distribution address information corresponding to the selected N cargoes through the database, the method comprises the following steps: formulating a cargo delivery route according to a delivery address corresponding to cargoes, calculating time required for delivery of each cargo according to the formulated cargo delivery route and a preset speed per hour of a carrying trolley used for delivering the cargoes, and calculating corresponding energy consumption of the carrying trolley when the carrying trolley delivers each cargo according to cargo weight information, calculating the total battery electric quantity consumed by the carrying trolley after the N cargoes are delivered according to the time required for delivery of each cargo, and obtaining the real-time battery electric quantity of all carrying trolleys for delivering the cargoes; and according to the total battery electric quantity consumed for distributing the N cargos, the carrying trolleys with the real-time storage battery electric quantity larger than the total consumed electric quantity are selected for goods distribution.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent logistics management, and specifically to an intelligent logistics management method and system. Background Art

[0002] With the gradual development of warehousing and logistics technology, intelligent unmanned logistics management mode has become an inevitable trend of future development. For example, unmanned cargo delivery vehicles have gradually become popular. Unmanned vehicles have unmanned driving navigation technology, which can realize unmanned cargo and express delivery and other logistics delivery. Unmanned vehicles are all driven by motors. Due to the small size of unmanned vehicles at this stage, the capacity of the batteries installed inside is small, resulting in a short range of unmanned vehicles. Since there is currently no intelligent system for the battery life management and monitoring of unmanned vehicles, logistics warehouses generally randomly select unmanned vehicles for cargo delivery, resulting in some unmanned vehicles with low battery power returning for charging during the delivery process due to insufficient range, reducing the work efficiency of logistics delivery. Summary of the invention

[0003] In order to overcome the above shortcomings, the purpose of this application is to provide an intelligent logistics management method and system, so as to effectively solve the above technical problems.

[0004] In order to achieve the above objectives, this application adopts the following technical solutions:

[0005] In a first aspect, the present application provides an intelligent logistics management method, comprising the following steps:

[0006] Step 1: Create a database by entering the weight and delivery address of all goods in the logistics warehouse.

[0007] Step 2: Select N goods in the warehouse for delivery and obtain the weight and delivery address information corresponding to each of the selected N goods through the database.

[0008] Step 3: formulate the cargo delivery route according to the delivery address corresponding to each of the selected N cargoes.

[0009] Step 4: Calculate the time required for each cargo delivery based on the established cargo delivery route and the preset speed of the transport vehicle used to deliver the cargo.

[0010] Step 5: Calculate the energy consumption of the transport vehicle when delivering each item based on the weight of the items, and calculate the total battery power consumed by the transport vehicle when delivering N items based on the time required for each item to be delivered.

[0011] Step 6: Obtain the real-time battery power of all transport carts used to deliver goods, and select a transport cart whose real-time battery power is greater than the total battery power consumed for goods delivery based on the total battery power consumed by delivering N goods.

[0012] Furthermore, in step 3, formulating a cargo delivery route according to the delivery address corresponding to each of the selected N cargoes specifically includes:

[0013] The first shipment is selected as the first shipment, the second shipment is selected as the shipment whose corresponding delivery address is closest to the logistics warehouse, and so on. After the Nth shipment is delivered, it is returned to the logistics warehouse.

[0014] Furthermore, the calculation method for calculating the energy consumption of the transport vehicle when delivering each cargo in step 5 is as follows:

[0015]

[0016] In the formula, C represents the energy consumption of the transport vehicle for each cargo delivery, C base represents the energy consumption of the transport vehicle without load, k represents the proportional coefficient of the load on energy consumption, m load Represents cargo load, m vehicle Represents the weight of the transport trolley itself.

[0017] Furthermore, the rated load of the transport trolley is 50kg.

[0018] When the load of the transport trolley is between 50kg and 40kg, the proportional coefficient of the load on energy consumption is k=0.2.

[0019] When the load of the transport trolley is between 40kg and 30kg, the proportional coefficient of the load on energy consumption is k=0.15.

[0020] When the load of the transport trolley is between 30kg and 20kg, the proportional coefficient of the load on energy consumption is k=0.1.

[0021] When the load of the transport trolley is between 20kg and 5kg, the proportional coefficient of the load on energy consumption is k=0.05.

[0022] When the load of the transport trolley is between 5kg and 0kg, the proportional coefficient k of the load on the energy consumption is 0.

[0023] Furthermore, in step 5, calculating the total battery power consumed by the transport vehicle after delivering N goods includes the following steps:

[0024] First calculate the amount of electricity consumed by the transport vehicle to deliver each item.

[0025] Then, the total battery power consumed by the transport vehicle after delivering N goods is calculated based on the power consumed by each item.

[0026] When calculating the amount of electricity consumed by the transport vehicle for each shipment, the calculation method is as follows:

[0027] E1=C*t1

[0028] In the formula, E1 represents the amount of electricity consumed by the transport cart to deliver goods, C represents the energy consumption of the transport cart to deliver goods, and t1 represents the time required for the transport cart to deliver goods.

[0029] Furthermore, the total battery power consumed by the transport vehicle after delivering N goods also includes the battery power consumed by the transport vehicle when it returns to the logistics warehouse in an empty state, which is calculated as follows:

[0030] E2=C base *t2

[0031] In the formula, E2 represents the battery power consumed by the transport vehicle when it returns to the logistics warehouse in an empty state, and C base It represents the energy consumption of the transport trolley when it is unloaded, and t2 represents the time required for the transport trolley to return to the logistics warehouse when it is empty.

[0032] Furthermore, in step six, when a transport cart is selected to deliver N goods, the real-time battery power of the selected transport cart needs to be greater than the sum of the total battery power consumed by the transport cart after delivering the N goods and the battery power consumed by the transport cart when returning to the logistics warehouse in an empty state.

[0033] In a second aspect, the present application also provides an intelligent logistics management system, including:

[0034] A database unit, which is used to input the weight and delivery address of all goods in the logistics warehouse,

[0035] A battery power detection unit, which is used to monitor the battery power of the transport vehicle in real time.

[0036] The analysis and processing unit is used to formulate a delivery route, calculate the battery power consumed by delivering the goods, and select a transport vehicle for delivering the goods.

[0037] Furthermore, the intelligent logistics management system also includes:

[0038] A control terminal, wherein the database unit and the analysis and processing unit are arranged on the control terminal,

[0039] A transport trolley, wherein the battery power detection unit is arranged on the transport trolley.

[0040] Furthermore, the control terminal further includes a first communication unit, and the transport vehicle further includes a second communication unit, and the first communication unit cooperates with the second communication unit to establish a communication network between the control terminal and the transport vehicle.

[0041] Beneficial Effects

[0042] The present application provides an intelligent logistics management method and system, which formulates a delivery route according to the delivery address of the goods, analyzes and calculates parameters such as the delivery route, the load of the transport cart, the speed of the vehicle, and the delivery time to obtain the total battery power required for delivering the goods, and then automatically matches the carts that meet the power requirements among all the transport carts for goods delivery, thereby realizing intelligent logistics management. The unmanned carts for delivering the goods have sufficient power to effectively ensure the delivery efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide an understanding of the technical solution of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the technical solution of the present disclosure and do not constitute a limitation on the technical solution of the present disclosure. The shapes and sizes of the components in the accompanying drawings do not reflect the actual proportions and are only intended to illustrate the content of the present application.

[0044] Figure 1 This is a flow chart of the intelligent logistics management method for this application.

[0045] Figure 2 This is the framework diagram of the intelligent logistics management system for this application.

[0046] Figure 3 A schematic diagram of intelligent logistics management provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0047] The above scheme is further described below in conjunction with specific examples. It should be understood that these examples are used to illustrate the present application and are not limited to the scope of the present application. The implementation conditions adopted in the examples can be further adjusted as the conditions of the specific manufacturer, and the implementation conditions not specified are usually the conditions in conventional experiments.

[0048] Unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connecting" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. In this article, "electrical connection" includes the situation where the constituent elements are connected together through an element with some electrical function. "Elements with some electrical function" are not particularly limited as long as they can transfer electrical signals between the connected constituent elements. "Elements with some electrical function" can be, for example, electrodes or wiring, or switching elements such as transistors, or other functional elements such as resistors, inductors or capacitors. "Up", "down", "left", "right", etc. are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0049] In this application, the directions or positional relationships indicated by the terms "upper", "lower", "inner", "middle", etc. are based on the directions or positional relationships shown in the drawings. These terms are mainly used to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to have a specific direction, or to be constructed and operated in a specific direction.

[0050] As described in the background technology, since there is currently no intelligent system for managing and monitoring the battery life of unmanned vehicles, logistics warehouses generally randomly select unmanned vehicles for cargo delivery. As a result, some unmanned vehicles with low battery power have to travel slowly and have insufficient range during the delivery process, and have to return for charging, reducing the work efficiency of logistics delivery.

[0051] In view of the above content, the inventor provides an intelligent logistics management method, such as Figure 1 As shown, the method comprises the following steps:

[0052] S1. Establish a database by entering the weight and delivery address of all goods in the logistics warehouse.

[0053] S2, select N goods in the warehouse for delivery and obtain the weight and delivery address information corresponding to each of the selected N goods through the database,

[0054] S3. Formulate a cargo delivery route according to the delivery address corresponding to each of the selected N cargoes.

[0055] S4. Calculate the time required for each cargo delivery based on the established cargo delivery route and the preset speed of the transport vehicle used to deliver the cargo.

[0056] S5. Calculate the energy consumption of the transport vehicle when delivering each item based on the weight information of the items, and calculate the total battery power consumed by the transport vehicle when delivering N items based on the time required for each item to be delivered.

[0057] S6. Obtain the real-time battery power of all transport carts used for delivering goods, and select a transport cart whose real-time battery power is greater than the total battery power consumed for delivering N goods for goods delivery.

[0058] At the same time, the inventor also provides an intelligent logistics management system, such as Figure 2 As shown, the system includes a database unit, which is used to enter the weight and delivery address of all goods in the logistics warehouse, a battery power detection unit, which is used to monitor the battery power of the transport cart in real time, and an analysis and processing unit, which is used to formulate a delivery route, calculate the battery power consumed by the delivery of goods, and select a transport cart for delivering goods.

[0059] This application can formulate a delivery route according to the delivery address of the goods, and analyze and calculate the total battery power required to deliver the goods through parameters such as the delivery route, the load of the transport cart, the speed of the vehicle, and the delivery time. Then, the vehicle that meets the power requirements is automatically matched among all the transport carts to deliver the goods, thereby realizing intelligent logistics management. The unmanned vehicles that deliver the goods have sufficient power to effectively ensure the delivery efficiency.

[0060] Next, combine the attached Figure 3 The present application is described exemplarily.

[0061] An embodiment of the present application provides an intelligent logistics management system, the system comprising:

[0062] The control terminal includes a host computer, and the host computer is provided with control software. The control software includes a database unit, and the database unit is used to input the weight and delivery address of the goods in the logistics warehouse, and an analysis and processing unit, and the analysis and processing unit is used to formulate the delivery route, calculate the battery power consumed by the delivery of the goods, and select the transport cart used for the delivery of the goods. At the same time, the control terminal is provided with a 4G / 5G wireless communication module (i.e., the first communication unit).

[0063] There are multiple transport carts, all of which are used for cargo delivery and are controlled by a control terminal. The transport cart is provided with a battery power detection unit for real-time monitoring of the battery power of the transport cart. At the same time, the transport cart is also provided with a 4G / 5G wireless communication module (i.e., the second communication unit). The first communication unit cooperates with the second communication unit to enable the control terminal to establish a communication network with the transport cart.

[0064] An embodiment of the present application also provides an intelligent logistics management method, which is specifically as follows:

[0065] All goods stored in the warehouse are entered into the software system database unit through the control terminal. Each item has a corresponding weight and delivery address to form a database.

[0066] Five goods, W1, W2, W3, W4 and W5, are selected for delivery. Among these five goods, the delivery address of W1 is close to the goods warehouse, W2 is close to W1, W3 is close to W2, and W4 is close to W5. The delivery routes of these five goods are formulated by the analysis and processing unit as follows: warehouse→W1→W2→W3→W4→W5→warehouse, where the distance from warehouse→W1 is X1, the distance from W1→W2 is X2, the distance from W2→W3 is X3, the distance from W3→W4 is X4, and the distance from W4→W5 is X5.

[0067] The speed of the transport vehicle is set to V. The unmanned transport vehicle uses an automatic driving system. Because this system is in pre-processing calculation mode, the road conditions and other emergency situations of the transport vehicle during the delivery process are ignored. The default speed of the whole journey is V. Calculate the time required for the transport vehicle to deliver five items W1, W2, W3, W4 and W5 and return to the warehouse. The specific calculation process is as follows:

[0068] The delivery time from warehouse to W1 is:

[0069] The delivery time from W1 to W2 is:

[0070] The delivery time from W2 to W3 is:

[0071] The delivery time from W3 to W4 is:

[0072] The delivery time from W4 to W5 is:

[0073] W5→The delivery time from the warehouse is:

[0074] The energy consumption of the transport vehicle when delivering each cargo is calculated based on the cargo weight information. The specific calculation process is as follows:

[0075] The calculation formula used is:

[0076] Where: C represents the energy consumption of the transport vehicle for each cargo delivery.

[0077] C base Represents the energy consumption of the transport trolley when it is unloaded. It is a fixed value and can be obtained by moving the trolley without any load. The unit of energy consumption is KW / h, which is the battery power consumed per hour.

[0078] k represents the proportional coefficient of the load's influence on energy consumption, which is set in this solution as:

[0079] The rated load of the transport trolley is 50kg.

[0080] When the load of the transport trolley is between 50kg and 40kg, the proportional coefficient of the load on energy consumption is k = 0.2.

[0081] When the load of the transport trolley is between 40kg and 30kg, the proportional coefficient of the load on energy consumption is k = 0.15.

[0082] When the load of the transport trolley is between 30kg and 20kg, the proportional coefficient of the load on energy consumption is k = 0.1.

[0083] When the load of the transport trolley is between 20kg and 5kg, the proportional coefficient of the load on energy consumption is k = 0.05.

[0084] When the load of the transport trolley is between 5kg and 0kg, the proportional coefficient of the load on energy consumption is k=0.

[0085] K is a variable value. As the number of goods delivered decreases during the delivery process, the load of the transport cart also decreases. Therefore, based on the weight of the five goods W1, W2, W3, W4 and W5, the following is calculated:

[0086] Warehouse → W1, delivery W1, the load of the transport trolley is 50kg~40kg, k=0.2,

[0087] W1→W2, delivery W2, the load of the transport trolley is 40kg~30kg, k=0.15,

[0088] W2→W3, delivery W3, the load of the transport trolley is 30kg~20kg, k=0.1

[0089] W3→W4, delivery W4, the load of the transport trolley is 20kg~5kg, k=0.05,

[0090] W4→W5, delivery W5, the load of the transport trolley is between 5kg and 0kg, k=0,

[0091] W5→warehouse, the transport cart returns, the load of the transport cart is 0, k=0.

[0092] m load Represents cargo load, m vehicle Represents the weight of the transport trolley itself,

[0093] From this, we can get the energy consumption of each stage in the distribution process. The calculation process is as follows:

[0094] Warehouse → W1, distribution W1 energy consumption:

[0095] W1→W2, energy consumption for delivering W2:

[0096] W2→W3, energy consumption for delivery of W3:

[0097] W3→W4, energy consumption for delivery of W4:

[0098] W4→W5, energy consumption for distribution of W5: C(w5)=C base

[0099] W5→Warehouse, the energy consumption of the transport trolley returning is: C base

[0100] According to the calculation formula of power: E1 = C*t1, where E1 represents the power consumed by the transport trolley to deliver goods, C represents the energy consumption of the transport trolley to deliver goods, and t1 represents the time required for the transport trolley to deliver goods, the power consumed by the transport trolley at each stage is obtained as follows:

[0101] Warehouse → W1, delivery W1 battery consumption: E1(W1) = C(w1)*t1(w1)

[0102] W1→W2, battery consumption for delivery of W2: E1(W2)=C(w2)*t1(w2)

[0103] W2→W3, battery consumption for delivery of W3: E1(W3)=C(w3)*t1(w3)

[0104] W3→W4, battery consumption for delivery of W4: E1(W4)=C(w4)*t1(w4)

[0105] W4→W5, battery consumption for delivery of W5: E1(W5)=C(w5)*t1(w5)

[0106] According to the formula, W5→warehouse, the power consumed by the transport vehicle returning to the warehouse is: E2=C base*t2, where E2 represents the battery power consumed when the transport vehicle returns to the logistics warehouse in an empty state, C base represents the energy consumption of the transport trolley when it is unloaded, and t2 represents the time required for the transport trolley to return to the logistics warehouse when it is unloaded.

[0107] From the above calculation, it can be concluded that the estimated power consumption of the transport vehicle after delivering five items W1, W2, W3, W4 and W5 and returning to the warehouse is:

[0108] E 总 =E1(W1)+E1(W2)+E1(W3)+E1(W4)+E1(W5)+E2

[0109] Get the real-time battery power of all the transport vehicles used to deliver goods, and calculate the total battery power E consumed by delivering 5 goods. 总 Select a transport vehicle whose battery real-time power is greater than the total power consumed for cargo delivery.

[0110] The above embodiments are only for illustrating the technical concept and features of the present application, and their purpose is to enable people familiar with the technology to understand the content of the present application and implement it accordingly, and they cannot be used to limit the protection scope of the present application. Any equivalent transformation or modification made according to the spirit of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent logistics management method, characterized in that: The steps include: Step 1: Create a database by entering the weight and delivery address of all goods in the logistics warehouse. Step 2: Select N goods in the warehouse for delivery and obtain the weight and delivery address information corresponding to each of the selected N goods through the database. Step 3: formulate the cargo delivery route according to the delivery address corresponding to each of the selected N cargoes. Step 4: Calculate the time required for each cargo delivery based on the established cargo delivery route and the preset speed of the transport vehicle used to deliver the cargo. Step 5: Calculate the energy consumption of the transport vehicle when delivering each item based on the weight of the items, and calculate the total battery power consumed by the transport vehicle when delivering N items based on the time required for each item to be delivered. Step 6: Obtain the real-time battery power of all transport carts used to deliver goods, and select a transport cart whose real-time battery power is greater than the total battery power consumed for goods delivery based on the total battery power consumed by delivering N goods.

2. The intelligent logistics management method according to claim 1, characterized in that: In step 3, the cargo delivery route is formulated according to the delivery address corresponding to each of the selected N cargoes, including: The first shipment is selected as the first shipment, the second shipment is selected as the shipment whose corresponding delivery address is closest to the logistics warehouse, and so on. After the Nth shipment is delivered, it is returned to the logistics warehouse.

3. The intelligent logistics management method according to claim 1, characterized in that: The calculation method for calculating the energy consumption of the transport vehicle when delivering each item in step 5 is as follows: In the formula, C represents the energy consumption of the transport vehicle for each cargo delivery, C base represents the energy consumption of the transport vehicle without load, k represents the proportional coefficient of the load on energy consumption, m load Represents cargo load, m vehicle Represents the weight of the transport trolley itself.

4. The intelligent logistics management method according to claim 3, characterized in that: The load capacity of the transport trolley is 50kg. When the load of the transport trolley is between 50kg and 40kg, the proportional coefficient of the load on energy consumption is k=0.

2. When the load of the transport trolley is between 40kg and 30kg, the proportional coefficient of the load on energy consumption is k=0.

15. When the load of the transport trolley is between 30kg and 20kg, the proportional coefficient of the load on energy consumption is k=0.

1. When the load of the transport trolley is between 20kg and 5kg, the proportional coefficient of the load on energy consumption is k=0.

05. When the load of the transport trolley is between 5kg and 0kg, the proportional coefficient k of the load on the energy consumption is 0.

5. The intelligent logistics management method according to claim 4, characterized in that: In step 5, the calculation of the total battery power consumed by the transport vehicle after delivering N goods includes the following steps: First calculate the amount of electricity consumed by the transport vehicle to deliver each item. Then, the total battery power consumed by the transport vehicle after delivering N goods is calculated based on the power consumed by each item. When calculating the amount of electricity consumed by the transport vehicle for each shipment, the calculation method is as follows: E1=C*t1 In the formula, E1 represents the amount of electricity consumed by the transport cart to deliver goods, C represents the energy consumption of the transport cart to deliver goods, and t1 represents the time required for the transport cart to deliver goods.

6. The intelligent logistics management method according to claim 5, characterized in that: The total battery power consumed by the transport vehicle after delivering N goods also includes the battery power consumed by the transport vehicle when it returns to the logistics warehouse in an empty state. The calculation method is as follows: E2=C base *t2 In the formula, E2 represents the battery power consumed by the transport vehicle when it returns to the logistics warehouse in an empty state, and C base It represents the energy consumption of the transport trolley when it is unloaded, and t2 represents the time required for the transport trolley to return to the logistics warehouse when it is empty.

7. The intelligent logistics management method according to claim 6, characterized in that: Step 6: When selecting a transport cart to deliver N goods, the real-time battery power of the selected transport cart needs to be greater than the sum of the total battery power consumed by the transport cart after delivering N goods and the total battery power consumed by the transport cart when returning to the logistics warehouse in an empty state.

8. An intelligent logistics management system, characterized by: include: A database unit, which is used to input the weight and delivery address of all goods in the logistics warehouse, A battery power detection unit, which is used to monitor the battery power of the transport vehicle in real time. The analysis and processing unit is used to formulate a delivery route, calculate the battery power consumed by delivering the goods, and select a transport vehicle for delivering the goods.

9. The intelligent logistics management system according to claim 8, characterized in that: include: A control terminal, wherein the database unit and the analysis and processing unit are arranged on the control terminal, A transport trolley, wherein the battery power detection unit is arranged on the transport trolley.

10. The intelligent logistics management system according to claim 9, characterized in that: The control terminal further includes a first communication unit, and the transport vehicle further includes a second communication unit. The first communication unit cooperates with the second communication unit to establish a communication network between the control terminal and the transport vehicle.

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