A detachable container unmanned transportation operation scheduling platform and method

Abstract

The application discloses a kind of detachable container unmanned transport operation scheduling platform and method, platform includes: order management module, for receiving the demand order of enterprise customer, the demand order is analyzed, generates first waybill;Unmanned vehicle management module, for real-time acquisition of the vehicle information of all unmanned vehicles;Container management module, for real-time acquisition of the empty container quantity of each network and operating center, when the empty container quantity of network is greater than the first threshold value set and / or the empty container quantity of operating center is less than the second threshold value set, generates second waybill;Unmanned vehicle scheduling module, for according to the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill contained in the second waybill, scheduling unmanned vehicle to meet the requirements to execute the first waybill or second waybill;Wherein, the unmanned vehicle can transport multiple independent containers and unload at least one container simultaneously.

Description

Technical Field

[0001] This invention relates to the field of unmanned logistics scheduling technology, specifically to an unmanned transportation operation scheduling platform and method with detachable cargo boxes. Background Technology

[0002] Currently, there are already automated logistics systems and operating methods on the market that allow for the separation of transportation and storage, enabling the use of automated driving technology for container swapping. There are also applications based on manned driving for automated loading and unloading of multiple containers, achieving unmanned delivery of goods to multiple points. However, there are still no technologies and methods for shared scheduling of multiple containers based on unmanned driving.

[0003] Currently, the autonomous driving logistics system and operation method that can separate transportation and storage can only drop one whole container at a time, which cannot meet the application scenarios of multiple network points unloading and small batches of goods being dropped repeatedly, such as express delivery transit centers to last-mile delivery, communities, and stations.

[0004] Based on manned multi-site cyclical container drop-off vehicles, it is impossible to achieve the low cost and accurate time planning of driverless vehicles in terms of operating costs and precise scheduling.

[0005] Existing market operating models and technologies cannot achieve complete separation of key points such as loading, transportation, unloading, and receipt of goods, nor can they achieve deep dismantling and reorganization of transportation carriers, transportation time, and transportation space, which is not conducive to improving transportation efficiency. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides a detachable cargo container unmanned transportation operation scheduling platform and method to solve the technical problems existing in the prior art.

[0007] Firstly, this application provides a detachable cargo container unmanned transportation operation scheduling platform, including:

[0008] The order management module is used to receive demand orders from enterprise customers, analyze the demand orders, and generate the first waybill;

[0009] The unmanned vehicle management module is used to obtain vehicle information of all unmanned vehicles in real time;

[0010] The cargo container management module is used to obtain the number of empty cargo containers at each branch and operation center in real time. When the number of empty cargo containers at a branch exceeds the first threshold and / or the number of empty cargo containers at an operation center is less than the second threshold, a second waybill is generated.

[0011] The unmanned vehicle scheduling module is configured to schedule a qualified unmanned vehicle to execute the first delivery order or the second delivery order according to vehicle information of all unmanned vehicles and first delivery order information contained in the first delivery order or second delivery order information contained in the second delivery order, wherein the unmanned vehicle is capable of simultaneously transporting a plurality of independent cargo boxes and unloading at least one of the cargo boxes.

[0012] Further, the analysis of the demand order and the generation of the first delivery order include:

[0013] Calibrating cargo information in the demand order, wherein the cargo information includes a cargo transportation starting address, a cargo transportation destination address, a cargo type, a cargo quantity, a cargo weight, and a cargo volume;

[0014] Calling a delivery order generation model to process the cargo information and generate a first delivery order, wherein the first delivery order information includes an optimal route string point, an optimal combined weight, and / or an optimal combined volume.

[0015] Further, the scheduling of a qualified unmanned vehicle to execute the first delivery order according to vehicle information of all unmanned vehicles and first delivery order information contained in the first delivery order includes:

[0016] S101: According to the optimal combined weight and / or the optimal combined volume, confirming a vehicle type and / or a vehicle length requirement, and calculating a required number N of unmanned vehicles, wherein N is a positive integer;

[0017] S102: Taking the cargo transportation starting address as a center, matching all unmanned vehicles within a preset distance range that are in a standby scheduling state and meet the vehicle type and / or the vehicle length requirement;

[0018] S103: If the number of the matched unmanned vehicles is greater than or equal to N, sorting the matched unmanned vehicles in order from near to far according to the distance from the cargo transportation starting address, and calling the first N unmanned vehicles to execute the first delivery order.

[0019] Further, S104: If the number of the matched unmanned vehicles is less than N, calling all the matched unmanned vehicles.

[0020] S105: Calculating a remaining transportation demand of the first delivery order according to the transportation capacity of all the matched unmanned vehicles, confirming a compatible vehicle type and / or a compatible vehicle length requirement according to the remaining transportation demand of the first delivery order, and calculating a required number M of compatible unmanned vehicles, wherein M is a positive integer;

[0021] S106: Taking the cargo transportation starting address as a center, matching all compatible unmanned vehicles within a preset distance range that are in a standby scheduling state and meet the compatible vehicle type and / or the compatible vehicle length requirement;

[0022] S107: If the number of compatible unmanned vehicles obtained by matching is greater than or equal to M vehicles, sort the compatible unmanned vehicles obtained by matching in order from near to far according to the distance from the starting address of the goods transportation, and call the first M compatible unmanned vehicles to execute the remaining transportation demand of the first waybill.

[0023] Further, S108: If the number of compatible unmanned vehicles obtained by matching is less than M vehicles, issue a first vehicle quantity shortage warning information.

[0024] Further, the second waybill information includes a network address, a number of empty containers in the network, and a transportation center address, wherein the network address is the starting address of transportation, and the transportation center address is the consignee address.

[0025] Further, according to the vehicle information of all unmanned vehicles and the second waybill information contained in the second waybill, a compatible unmanned vehicle is dispatched to execute the second waybill, comprising:

[0026] S201: According to the number of empty containers in the network, the vehicle type and / or the length requirement are confirmed, and the number L of required unmanned vehicles is calculated, L being a positive integer;

[0027] S202: Taking the network address as the center, all unmanned vehicles within a preset distance range that are in a standby state and meet the vehicle type and / or length requirements are matched and obtained.

[0028] S203: If the number of unmanned vehicles obtained by matching is greater than or equal to L vehicles, sort the unmanned vehicles obtained by matching in order from near to far according to the distance from the network address, and call the first L unmanned vehicles to execute the second waybill.

[0029] Further, S204: If the number of unmanned vehicles obtained by matching is less than L vehicles, call all the unmanned vehicles obtained by matching.

[0030] S205: According to the transportation capacity of all the unmanned vehicles obtained by matching, the number of remaining empty containers in the network is calculated, and if the number of remaining empty containers in the network is greater than a first threshold value or the value of the number of empty containers in the transportation center plus the number of empty containers in the network that can be transported away is less than a second threshold value, the compatible vehicle type and / or compatible length requirement are confirmed according to the number of remaining empty containers in the network, and the number K of required compatible unmanned vehicles is calculated, K being a positive integer.

[0031] S206: Taking the network address as the center, all compatible unmanned vehicles within a preset distance range that are in a standby state and meet the compatible vehicle type and / or compatible length requirements are matched and obtained.

[0032] S207: If the number of compatible unmanned vehicles obtained by matching is greater than or equal to K, the compatible unmanned vehicles obtained by matching are sorted in order from near to far according to the distance from the site address, and the remaining empty containers in the site are transported by the K compatible unmanned vehicles before sorting.

[0033] Further, S208: If the number of compatible unmanned vehicles obtained by matching is less than K, a second vehicle quantity shortage warning information is sent out.

[0034] In a second aspect, the application also provides a splitable container unmanned transportation operation scheduling method, comprising:

[0035] Receiving a demand order of an enterprise customer, analyzing the demand order, and generating a first waybill;

[0036] Real-time acquisition of vehicle information of all unmanned vehicles;

[0037] Real-time acquisition of the number of empty containers of each site and operation center, and generation of a second waybill when the number of empty containers of the site is greater than a set first threshold and / or the number of empty containers of the operation center is less than a set second threshold;

[0038] Scheduling a required unmanned vehicle to execute the first waybill or the second waybill according to the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill information contained in the second waybill, wherein the unmanned vehicle can simultaneously transport multiple independent containers and unload at least one container.

[0039] The beneficial effects of the application are as follows:

[0040] Based on automatic driving technology, the mode of automatic operation scheduling through a platform realizes automatic order receiving, automatic waybill generation, automatic unmanned vehicle management and scheduling, automatically divides different steps such as unmanned vehicle scheduling, cargo loading, cargo transportation, cargo unloading, cargo signing, etc. into a coherent transportation node, greatly improves the logistics efficiency, and reduces the labor cost of managers, schedulers and drivers. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the specific embodiments of the application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual proportion.

[0042] Figure 1 A structure schematic diagram of a splitable container unmanned transportation operation scheduling platform provided for the embodiment;

[0043] Figure 2 This is a flowchart of a method for scheduling unmanned transportation operations using detachable cargo containers, provided in this embodiment. Detailed Implementation

[0044] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0045] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0046] Example 1:

[0047] like Figure 1 As shown, Embodiment 1 of this application provides a detachable cargo box unmanned transportation operation and scheduling platform, including an order management module, an unmanned vehicle management module, a cargo box management module, and an unmanned vehicle scheduling module. In this embodiment, the unmanned vehicle is equipped with an unmanned driving system, enabling unmanned driving. The unmanned vehicle can also interact with the scheduling platform via a wireless communication module for data and information exchange. Furthermore, the unmanned vehicle can transport multiple independent cargo boxes at a time, and unload one or more cargo boxes after transporting them to the corresponding network points. For example, the unmanned vehicle loads 6 independent cargo boxes at the operation center, each cargo box has NB-IoT positioning, realizing online management of the cargo boxes. These 6 cargo boxes need to be transported to 5 network points: 1 cargo box is unloaded at network point A, 2 cargo boxes are unloaded at network point B, 1 cargo box is unloaded at network point C, 1 cargo box is unloaded at network point D, and 1 cargo box is unloaded at network point E. Furthermore, after unloading cargo boxes at a service point, the corresponding number of empty cargo boxes are immediately reloaded at that same service point. For example, if two cargo boxes are unloaded at service point B, two empty cargo boxes are reloaded at service point B. In this way, empty cargo boxes from each service point are transported back to the operation center by the automated vehicle, allowing all cargo boxes to circulate continuously. If the number of empty cargo boxes at a current service point is less than the number of cargo boxes unloaded by the automated vehicle at that service point, all empty cargo boxes from that service point are loaded onto the automated vehicle.

[0048] The order management module is used to receive demand orders from enterprise customers, analyze the demand orders, and generate the first waybill.

[0049] Specifically, the order management module can be connected to an external ERP or SAP to synchronize the demand orders of enterprise customers in real time. After receiving the demand orders of enterprise customers, the goods information in the demand orders is labeled, including the goods transportation starting address, the goods transportation delivery address, the goods type, the goods quantity, the goods weight, and the goods volume. Then, a waybill generation model is called to arrange the goods information and generate a first waybill. The first waybill information includes the optimal route string point, the optimal combined weight, and / or the optimal combined volume.

[0050] The unmanned vehicle management module is configured to acquire vehicle information of all unmanned vehicles in real time. The vehicle information of the unmanned vehicle includes an ID of the unmanned vehicle, state information of the unmanned vehicle, geographic location information of the unmanned vehicle, and power information of the unmanned vehicle, etc. The state information of the unmanned vehicle includes whether the unmanned vehicle is in a dispatched state or in a standby dispatched state.

[0051] The container management module is configured to acquire the number of empty containers of each network point and the operating center in real time. When the number of empty containers of the network point is greater than a first threshold value and / or the number of empty containers of the operating center is less than a second threshold value, a second waybill is generated.

[0052] One operating center is in charge of multiple network points and is responsible for express delivery of all network points in the region. According to the range of express delivery, the operating center can be divided into different levels, for example, it can be responsible for the concentration and distribution of logistics goods across cities or provinces.

[0053] Because the number of empty containers of different network points is not the same in the process of goods delivery, some network points have a large amount of goods flow, and it is possible to quickly accumulate empty containers, causing empty containers to accumulate and cannot be recycled, thereby causing waste of empty container resources. Similarly, because the number of empty containers accumulated by the network point is too much, the number of empty containers that can be used by the operating center is reduced, and it is very likely that there will be no empty containers to use. To avoid this situation, when the number of empty containers of the network point is greater than the first threshold value, or when the number of empty containers of the operating center is less than the second threshold value, the unmanned vehicle needs to be dispatched to transfer the empty containers of the network point to the operating center.

[0054] The unmanned vehicle scheduling module is configured to schedule a required unmanned vehicle to execute the first waybill or the second waybill according to the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill information contained in the second waybill.

[0055] Specifically, in this embodiment, the required unmanned vehicle is scheduled to execute the first waybill according to the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill, including:

[0056] S101: Confirm the vehicle type and / or the vehicle length requirement according to the optimal combination weight and / or the optimal combination volume, and calculate the required number of unmanned vehicles N, N being a positive integer.

[0057] S102: Obtain all unmanned vehicles in a preset distance range from the starting address of the goods transportation, which are in a standby state and meet the vehicle type and / or vehicle length requirement.

[0058] S103: If the number of the obtained unmanned vehicles is greater than or equal to N, sort the obtained unmanned vehicles according to the distance from the starting address of the goods transportation from near to far, and call the first N unmanned vehicles to execute the first delivery order.

[0059] S104: If the number of the obtained unmanned vehicles is less than N, call all the obtained unmanned vehicles.

[0060] S105: Calculate the remaining transportation demand of the first delivery order according to the transportation capacity of all the obtained unmanned vehicles, confirm the compatible vehicle type and / or compatible vehicle length requirement according to the remaining transportation demand of the first delivery order, and calculate the required number of compatible unmanned vehicles M, M being a positive integer.

[0061] In this embodiment, the compatible unmanned vehicle refers to an unmanned vehicle whose vehicle length and / or vehicle type is not the optimal vehicle type and / or vehicle type, but can also meet the transportation requirement.

[0062] S106: Obtain all compatible unmanned vehicles in a preset distance range from the starting address of the goods transportation, which are in a standby state and meet the compatible vehicle type and / or compatible vehicle length requirement. For example, all the required unmanned vehicles within 10 kilometers around the starting address of the goods transportation can be obtained.

[0063] S107: If the number of the obtained compatible unmanned vehicles is greater than or equal to M, sort the obtained compatible unmanned vehicles according to the distance from the starting address of the goods transportation from near to far, and call the first M compatible unmanned vehicles to execute the remaining transportation demand of the first delivery order.

[0064] S108: If the number of the obtained compatible unmanned vehicles is less than M, issue a first vehicle quantity shortage warning information.

[0065] The unmanned vehicle scheduling module sends the first vehicle quantity shortage warning information to the manager, and the manager manually schedules the unmanned vehicles.

[0066] In this embodiment, the second delivery order information includes a network address, a number of empty boxes in the network, and a transportation center address, wherein the network address is the starting address of the transportation, and the transportation center address is the address of the consignee.

[0067] Specifically, according to the vehicle information of all unmanned vehicles and the second waybill information contained in the second waybill, a required unmanned vehicle is dispatched to execute the second waybill, comprising:

[0068] S201: According to the number of empty containers in the network point, the vehicle type and / or the length requirement are confirmed, and the required number of unmanned vehicles L is calculated, L being a positive integer.

[0069] S202: With the network point address as the center, all unmanned vehicles in a preset distance range that are in a standby state and meet the vehicle type and / or length requirements are matched and obtained. For example, all required unmanned vehicles within 10 kilometers around the starting address of the goods transportation can be matched and obtained.

[0070] S203: If the number of matched and obtained unmanned vehicles is greater than or equal to L, the matched and obtained unmanned vehicles are sequentially sorted from near to far according to the distance from the network point address, and the first L unmanned vehicles are called to execute the second waybill.

[0071] S204: If the number of matched and obtained unmanned vehicles is less than L, all matched and obtained unmanned vehicles are called.

[0072] S205: The number of remaining empty containers in the network point is calculated according to the transportation capacity of all matched and obtained unmanned vehicles, and if the number of remaining empty containers in the network point is greater than a first threshold value or the value of the number of empty containers in the operation center plus the number of empty containers in the network point that can be transported is less than a second threshold value, the compatible vehicle type and / or compatible length requirement are confirmed according to the number of remaining empty containers in the network point, and the required number of compatible unmanned vehicles K is calculated, K being a positive integer.

[0073] S206: With the network point address as the center, all compatible unmanned vehicles in a preset distance range that are in a standby state and meet the compatible vehicle type and / or compatible length requirements are matched and obtained.

[0074] S207: If the number of matched and obtained compatible unmanned vehicles is greater than or equal to K, the matched and obtained compatible unmanned vehicles are sequentially sorted from near to far according to the distance from the network point address, and the first K compatible unmanned vehicles are called to transport the remaining empty containers in the network point.

[0075] In this embodiment, the compatible unmanned vehicle refers to an unmanned vehicle whose length and / or vehicle type is not the optimal vehicle type and / or vehicle type, but can also meet the transportation requirements.

[0076] S208: If the number of matched and obtained compatible unmanned vehicles is less than K, a second vehicle quantity insufficient warning information is sent out.

[0077] The unmanned vehicle scheduling module sends second vehicle quantity shortage early warning information to the manager, and the manager manually schedules the unmanned vehicle.

[0078] Embodiment two:

[0079] In a second aspect, as Figure 2 shown, the present application also provides a flow chart of a detachable cargo box unmanned transportation operation scheduling method, which is applicable to the detachable cargo box unmanned transportation operation scheduling platform provided in embodiment one. Specifically, the method can include the following steps:

[0080] S100: receiving a demand order of an enterprise customer, analyzing the demand order, and generating a first shipping order.

[0081] S200: real-time acquisition of vehicle information of all unmanned vehicles.

[0082] S300: real-time acquisition of the number of empty cargo boxes at each network point and operation center, and generation of a second shipping order when the number of empty cargo boxes at the network point is greater than a set first threshold value and / or the number of empty cargo boxes at the operation center is less than a set second threshold value.

[0083] S400: scheduling a required unmanned vehicle to execute the first shipping order or the second shipping order according to the vehicle information of all unmanned vehicles and the first shipping order information contained in the first shipping order or the second shipping order information contained in the second shipping order.

[0084] In summary, based on automatic driving technology, the mode of automatic operation scheduling through the platform realizes automatic order receiving, automatic shipping order generation, automatic unmanned vehicle management and scheduling, automatically divides and executes different steps such as unmanned vehicle scheduling, cargo loading, cargo transportation, cargo unloading, and cargo signing at the same coherent transportation node, greatly improves the logistics efficiency, and reduces the labor cost of managers, dispatchers, and drivers.

[0085] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application.

Claims

1. A detachable cargo container unmanned transportation operation and scheduling platform, characterized in that, include: The order management module is used to receive demand orders from enterprise customers, analyze the demand orders, and generate the first waybill; The unmanned vehicle management module is used to obtain vehicle information of all unmanned vehicles in real time; The cargo container management module is used to obtain the number of empty cargo containers at each branch and operation center in real time. When the number of empty cargo containers at a branch exceeds the first threshold and / or the number of empty cargo containers at an operation center is less than the second threshold, a second waybill is generated. The unmanned vehicle scheduling module is used to schedule qualified unmanned vehicles to execute the first or second waybill based on the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill information contained in the second waybill; wherein, the unmanned vehicle is capable of simultaneously transporting multiple independent cargo boxes and unloading at least one of them; The step of analyzing the demand order and generating the first waybill includes: The goods information in the demand order is identified, including the origin address of the goods transportation, the delivery address of the goods transportation, the type of goods, the quantity of goods, the weight of goods, and the volume of goods; The waybill generation model is invoked to organize the cargo information and generate a first waybill. The first waybill information includes the optimal route connection points, the optimal combined weight and / or the optimal combined volume. Based on the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill, dispatch qualified unmanned vehicles to execute the first waybill, including: S101: Based on the optimal combination weight and / or optimal combination volume, confirm the vehicle type and / or vehicle length requirements, and calculate the required number of unmanned vehicles N, where N is a positive integer; S102: Using the cargo transportation start address as the center, match and obtain all unmanned vehicles within a preset distance range that are in a state of waiting for scheduling and meet the vehicle type and / or vehicle length requirements; S103: If the number of unmanned vehicles obtained through matching is greater than or equal to N, the unmanned vehicles obtained through matching are sorted in order of distance from the starting address of the cargo transportation from near to far, and the first N unmanned vehicles in the sorting are called to execute the first waybill. S104: If the number of matched unmanned vehicles is less than N, call all the matched unmanned vehicles that have been obtained. S105: Calculate the remaining transportation demand of the first waybill based on the transportation volume of all the unmanned vehicles obtained through matching, confirm the compatible vehicle type and / or compatible vehicle length requirements based on the remaining transportation demand of the first waybill, and calculate the required number of compatible unmanned vehicles M, where M is a positive integer. S106: Using the cargo transportation start address as the center, match and obtain all compatible unmanned vehicles within a preset distance range that are in a waiting-to-be-scheduled state and meet the requirements of compatible vehicle type and / or compatible vehicle length; S107: If the number of compatible unmanned vehicles obtained through matching is greater than or equal to M vehicles, the compatible unmanned vehicles obtained through matching are sorted in order of distance from the starting address of the cargo transportation from near to far, and the first M compatible unmanned vehicles are called to execute the remaining transportation demand of the first waybill.

2. The unmanned transportation operation and scheduling platform with detachable cargo containers according to claim 1, characterized in that, S108: If the number of compatible unmanned vehicles obtained through matching is less than M, issue a warning message that the number of vehicles is insufficient.

3. The unmanned transportation operation and scheduling platform with detachable cargo containers according to claim 1, characterized in that, The second waybill information includes the branch address, the number of empty cargo boxes in the branch, and the operation center address, wherein the branch address is the transportation origin address and the operation center address is the receiving address.

4. The unmanned transportation operation and scheduling platform with detachable cargo containers according to claim 3, characterized in that, Based on the vehicle information of all unmanned vehicles and the second waybill information contained in the second waybill, dispatch qualified unmanned vehicles to execute the second waybill, including: S201: Based on the number of empty cargo boxes in the network points, confirm the vehicle type and / or vehicle length requirements, and calculate the required number of unmanned vehicles L, where L is a positive integer; S202: Using the network address as the center, match and obtain all unmanned vehicles within a preset distance range that are in a state of waiting for scheduling and meet the vehicle type and / or vehicle length requirements; S203: If the number of unmanned vehicles obtained through matching is greater than or equal to L, the unmanned vehicles obtained through matching are sorted in order of distance from the network address from near to far, and the first L unmanned vehicles in the sorting are called to execute the second waybill.

5. The unmanned transportation operation and scheduling platform with detachable cargo containers according to claim 4, characterized in that, S204: If the number of matched unmanned vehicles is less than L, call all the matched unmanned vehicles that have been obtained; S205: Calculate the number of empty cargo boxes remaining in the network point based on the transportation volume of all unmanned vehicles obtained through matching. If the number of empty cargo boxes remaining in the network point is greater than the first threshold or the value of the number of empty cargo boxes in the operation center plus the number of empty cargo boxes that can be transported away in the network point is less than the second threshold, confirm the compatible vehicle type and / or compatible vehicle length requirements based on the number of empty cargo boxes remaining in the network point, and calculate the required number of compatible unmanned vehicles K, where K is a positive integer. S206: Using the network address as the center, match and obtain all compatible unmanned vehicles within a preset distance range that are in a state of waiting to be scheduled and meet the requirements of compatible vehicle type and / or compatible vehicle length; S207: If the number of compatible unmanned vehicles obtained through matching is greater than or equal to K vehicles, the compatible unmanned vehicles obtained through matching are sorted in order of distance from the network point address from near to far, and the first K compatible unmanned vehicles in the sorting are used to transport the remaining empty cargo boxes in the network point.

6. The unmanned transportation operation and scheduling platform with detachable cargo containers according to claim 5, characterized in that, S208: If the number of compatible unmanned vehicles obtained through matching is less than K, issue a second warning message indicating that the number of vehicles is insufficient.

7. A method for scheduling unmanned transportation operations using detachable cargo containers, characterized in that, include: Receive demand orders from enterprise customers, analyze the demand orders, and generate the first waybill; Real-time acquisition of vehicle information for all driverless vehicles; The number of empty cargo boxes at each branch and operation center is obtained in real time. When the number of empty cargo boxes at a branch exceeds the first threshold and / or the number of empty cargo boxes at an operation center is less than the second threshold, a second waybill is generated. Based on the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill information contained in the second waybill, unmanned vehicles that meet the requirements are dispatched to execute the first waybill or the second waybill; wherein, the unmanned vehicle is capable of simultaneously transporting multiple independent cargo boxes and unloading at least one of them; The step of analyzing the demand order and generating the first waybill includes: The goods information in the demand order is identified, including the origin address of the goods transportation, the delivery address of the goods transportation, the type of goods, the quantity of goods, the weight of goods, and the volume of goods; The waybill generation model is invoked to organize the cargo information and generate a first waybill. The first waybill information includes the optimal route connection points, the optimal combined weight and / or the optimal combined volume. Based on the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill, dispatch qualified unmanned vehicles to execute the first waybill, including: S101: Based on the optimal combination weight and / or optimal combination volume, confirm the vehicle type and / or vehicle length requirements, and calculate the required number of unmanned vehicles N, where N is a positive integer; S102: Using the cargo transportation start address as the center, match and obtain all unmanned vehicles within a preset distance range that are in a state of waiting for scheduling and meet the vehicle type and / or vehicle length requirements; S103: If the number of unmanned vehicles obtained through matching is greater than or equal to N, the unmanned vehicles obtained through matching are sorted in order of distance from the starting address of the cargo transportation from near to far, and the first N unmanned vehicles in the sorting are called to execute the first waybill. S104: If the number of matched unmanned vehicles is less than N, call all the matched unmanned vehicles that have been obtained. S105: Calculate the remaining transportation demand of the first waybill based on the transportation volume of all the unmanned vehicles obtained through matching, confirm the compatible vehicle type and / or compatible vehicle length requirements based on the remaining transportation demand of the first waybill, and calculate the required number of compatible unmanned vehicles M, where M is a positive integer. S106: Using the cargo transportation start address as the center, match and obtain all compatible unmanned vehicles within a preset distance range that are in a waiting-to-be-scheduled state and meet the requirements of compatible vehicle type and / or compatible vehicle length; S107: If the number of compatible unmanned vehicles obtained through matching is greater than or equal to M vehicles, the compatible unmanned vehicles obtained through matching are sorted in order of distance from the starting address of the cargo transportation from near to far, and the first M compatible unmanned vehicles are called to execute the remaining transportation demand of the first waybill.

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