Unmanned distribution vehicle matching system and corresponding method and product
Through the automated processing of the cargo identification module, refrigeration demand estimation module and vehicle matching module, the problems of low cargo matching efficiency and low accuracy in driverless delivery vehicles are solved, and efficient and accurate transportation of refrigerated goods are achieved.
Patent Information
- Application Number
- CN202510243785.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-03
- Publication Date
- 2025-07-25
AI Technical Summary
Unmanned delivery vehicles are inefficient and have low accuracy during the cargo matching process, especially when matching refrigerated goods is prone to errors.
The cargo identification module is used to measure the cargo temperature, the refrigeration demand estimation module judges the refrigeration demand based on the environment and cargo temperature, and the vehicle matching module automatically selects an unmanned delivery vehicle that meets the conditions.
Improve the efficiency and accuracy of cargo matching, avoid the problem of damaged goods caused by manual identification errors, and reduce transportation costs in low-temperature environments.
Smart Images
Figure CN120373983A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of unmanned delivery, and in particular to an unmanned delivery vehicle matching system, an unmanned delivery vehicle matching method, an electronic device, and a computer-readable storage medium. Background Art
[0002] An unmanned delivery vehicle is an intelligent vehicle that uses autonomous driving technology for cargo delivery. Such vehicles are usually equipped with devices such as cameras, radars, and lidars, and can perceive the surrounding environment in real time, perform path planning and obstacle avoidance, so as to achieve autonomous driving and cargo delivery.
[0003] In practical applications, users can manually select an unmanned delivery vehicle according to the goods to be delivered; this method of users selecting an unmanned delivery vehicle has low efficiency and is prone to errors. Summary of the Invention
[0004] In view of the above problems, there is provided an unmanned delivery vehicle matching system, an unmanned delivery vehicle matching method, an electronic device, and a computer-readable storage medium that overcome or at least partially solve the above problems, including:
[0005] An unmanned delivery vehicle matching system, the system includes:
[0006] A cargo identification module, configured to measure the target cargo temperature of the target cargo to be delivered;
[0007] A refrigeration demand estimation module, configured to obtain the target ambient temperature of the current environment and the target cargo temperature; and determine the target refrigeration demand information of the target cargo according to the target ambient temperature and the target cargo temperature;
[0008] A vehicle matching module, configured to determine the target cargo hold condition for delivering the target cargo according to the target refrigeration demand information, and determine the target unmanned delivery vehicle that meets the target cargo hold condition.
[0009] Optionally, the vehicle matching module is further configured to control the target unmanned delivery vehicle to deliver the target cargo.
[0010] Optionally, the cargo identification module is further configured to determine the target location information of the target cargo; collect the temperature of the area corresponding to the target location information to obtain the target cargo temperature;
[0011] The vehicle matching module is configured to control the target unmanned delivery vehicle to drive to the area corresponding to the target location information.
[0012] Optionally, the goods identification module is configured to use infrared thermal imaging temperature measurement to extract a thermal imaging image of the area corresponding to the target location information; convert the thermal imaging image into temperature values according to a preset temperature comparison table; and calculate the temperature of the target goods based on the temperature values.
[0013] Optionally, there are multiple temperature values;
[0014] The goods identification module is configured to calculate the median of the multiple temperature values and use the median as the temperature of the target goods.
[0015] Optionally, the refrigeration demand estimation module is configured to generate target refrigeration demand information indicating that the target goods have a refrigeration demand when the difference between the target ambient temperature and the temperature of the target goods is not less than a first preset value and the target ambient temperature is greater than a second preset value; and generate target refrigeration demand information indicating that the target goods do not have a refrigeration demand when the difference between the target ambient temperature and the temperature of the target goods is less than the first preset value, or the target ambient temperature is not greater than the second preset value.
[0016] An embodiment of the present invention further provides a matching method for an unmanned delivery vehicle, which is applied to the system as described above; the method includes:
[0017] Obtain the target refrigeration demand information of the target goods to be delivered; the target refrigeration demand information is determined according to the target ambient temperature of the current environment and the temperature of the target goods;
[0018] Determine the target cargo hold conditions for delivering the target goods according to the target refrigeration demand information, and determine a target unmanned delivery vehicle that meets the target cargo hold conditions.
[0019] Optionally, the method further includes:
[0020] Control the target unmanned delivery vehicle to deliver the target goods.
[0021] An embodiment of the present invention further provides an electronic device, including a processor, a memory, and a computer program stored on the memory and capable of running on the processor. When the computer program is executed by the processor, the matching method of the unmanned delivery vehicle as described above is implemented.
[0022] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the matching method of the unmanned delivery vehicle as described above is implemented.
[0023] Embodiments of the present invention have the following advantages:
[0024] In an embodiment of the present invention, an unmanned delivery vehicle matching system includes: a cargo identification module for measuring the target cargo temperature of the target cargo to be delivered; a refrigeration demand estimation module for obtaining the target ambient temperature of the current environment and the target cargo temperature; and determining the target refrigeration demand information of the target cargo according to the target ambient temperature and the target cargo temperature; a vehicle matching module for determining the target cargo hold conditions for delivering the target cargo according to the target refrigeration demand information, and determining a target unmanned delivery vehicle that meets the target cargo hold conditions. Through the embodiment of the present invention, the problems of low cargo matching efficiency and low accuracy in the scenario of unmanned delivery vehicles can be effectively solved.
[0025] In addition, through the embodiment of the present invention, it is also possible to transport refrigerated cargo using an unmanned delivery vehicle with ordinary cargo hold conditions in a low-temperature environment, thereby reducing transportation costs. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the technical solutions of the present invention, the accompanying drawings required for the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0027] Figure 1 It is a schematic structural diagram of an unmanned delivery vehicle delivery system according to an embodiment of the present invention;
[0028] Figure 2 It is a schematic diagram of a thermal imaging image according to an embodiment of the present invention;
[0029] Figure 3 It is a step flowchart of a delivery method of an unmanned delivery vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0030] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.
[0031] As driverless delivery vehicles are increasingly widely used in the logistics field, how to automatically match suitable delivery vehicles according to the type of goods has become the key to improving delivery efficiency. Especially for goods that need to be refrigerated, delivery vehicles equipped with refrigerated compartments must be used to ensure the quality of the goods. However, most of the existing technologies rely on manual identification of the type of goods, which is inefficient and prone to errors. In response to this problem, an embodiment of the present invention provides a driverless delivery vehicle matching system, which may include a goods identification module, a refrigeration demand estimation module, and a vehicle matching module. By automatically identifying the refrigeration demand of the goods, the corresponding driverless delivery vehicle is automatically matched, thereby improving the efficiency of driverless delivery vehicle distribution and avoiding the problem that goods that should be transported by a driverless delivery vehicle with a refrigerated warehouse are damaged due to incorrect allocation of the driverless delivery vehicle caused by manual identification errors.
[0032] Specifically, reference may be made to Figure 1 , Figure 1 which shows a schematic structural diagram of a driverless delivery vehicle distribution system according to an embodiment of the present invention. As Figure 1 shown, the driverless delivery vehicle distribution system 10 may include:
[0033] A goods identification module 110, configured to measure the target goods temperature of the target goods to be delivered;
[0034] A refrigeration demand estimation module 120, configured to obtain the target ambient temperature of the current environment and the target goods temperature; and determine the target refrigeration demand information of the target goods according to the target ambient temperature and the target goods temperature;
[0035] A vehicle matching module 130, configured to determine the target cargo hold condition for delivering the target goods according to the target refrigeration demand information, and determine the target driverless delivery vehicle that meets the target cargo hold condition.
[0036] In practical applications, the driverless delivery vehicle distribution system 10 may include a goods identification module 110, a refrigeration demand estimation module 120, and a vehicle matching module 130; wherein, the goods identification module 110 may be configured to determine the target goods to be delivered and measure the target goods temperature of the determined target goods; the target goods temperature may refer to the current temperature of the target goods.
[0037] After obtaining the target goods temperature, the goods identification module 110 may send the target goods temperature to the refrigeration demand estimation module 120.
[0038] When the refrigeration demand estimation module 120 obtains the target goods temperature, it may also obtain the target ambient temperature of the current environment. Then, the refrigeration demand estimation module 120 may determine whether the target goods have a refrigerated transportation demand according to the target ambient temperature and the target goods temperature.
[0039] Exemplarily, if the temperature of the target goods is lower than the target ambient temperature, it can be determined that there is a need for refrigerated transportation of the target goods; if the temperature of the target goods is not lower than the target ambient temperature, it can be determined that there is no need for refrigerated transportation of the target goods.
[0040] In another example, if the difference between the temperature of the target goods and the target ambient temperature is lower than a preset value (e.g., 5), it can be determined that there is no need for refrigerated transportation of the target goods; if the difference between the temperature of the target goods and the target ambient temperature is not lower than the preset value, it can be determined that there is a need for refrigerated transportation of the target goods. The embodiments of the present invention do not limit the specific method for determining whether there is a need for refrigerated transportation of the target goods, nor do they limit the preset value.
[0041] When it is determined that there is a need for refrigerated transportation of the target goods, the refrigeration demand estimation module 120 can generate target refrigeration demand information indicating that there is a need for refrigerated transportation of the target goods; when it is determined that there is no need for refrigerated transportation of the target goods, the refrigeration demand estimation module 120 can generate target refrigeration demand information indicating that there is no need for refrigerated transportation of the target goods. The embodiments of the present invention do not limit this.
[0042] After generating the target refrigeration demand information, the refrigeration demand estimation module 120 can send the target refrigeration demand information to the vehicle matching module 130.
[0043] After receiving the target refrigeration demand information, the vehicle matching module 130 can determine the target warehouse conditions for delivering the target goods based on the content in the target refrigeration demand information; exemplarily, the target warehouse conditions can be related to the warehouse temperature.
[0044] After determining the target warehouse conditions, the vehicle matching module 130 can determine the target driverless delivery vehicle that meets the target warehouse conditions.
[0045] Exemplarily, if the target warehouse condition is a condition without the need for refrigeration, the vehicle matching module 130 can determine the driverless delivery vehicle without refrigeration capacity as the target driverless delivery vehicle; conversely, if the target warehouse condition is a condition that requires refrigeration, the vehicle matching module 130 can determine the driverless delivery vehicle with refrigeration capacity as the target driverless delivery vehicle.
[0046] Furthermore, the driverless delivery vehicle can be set in more detail; for example, driverless delivery vehicles with different storage temperatures can be provided (for example, driverless delivery vehicles with a storage temperature of -20°C to -10°C, driverless delivery vehicles with a storage temperature of -10°C to 0°C, driverless delivery vehicles with a storage temperature of 0°C to 5°C, driverless delivery vehicles with a storage temperature of 5°C to 25°C, etc.), and the target warehouse condition can correspond to a temperature value; for example:
[0047] If the target cargo temperature is -15°C and the target ambient temperature is 10°C, it can be determined that the driverless delivery vehicle that can provide a storage temperature of -20°C to -10°C is the target driverless delivery vehicle; the specific matching rule can be set according to the actual situation, and the embodiments of the present invention do not limit this.
[0048] In an embodiment of the present invention, the vehicle matching module 130 is further configured to control the target driverless delivery vehicle to deliver the target cargo.
[0049] In some feasible embodiments, after determining the target driverless delivery vehicle, the vehicle matching module 130 can control the target driverless delivery vehicle to complete the delivery of the target cargo.
[0050] Specifically, after determining the target driverless delivery vehicle, the vehicle matching module can control the target driverless delivery vehicle to go to that location based on the location of the target cargo; after the target cargo is placed in the target driverless delivery vehicle, the target driverless delivery vehicle can go to the destination corresponding to the target cargo to transport the target cargo to the destination.
[0051] In an embodiment of the present invention, the cargo identification module 110 is further configured to determine the target location information of the target cargo; collect the temperature of the area corresponding to the target location information to obtain the target cargo temperature;
[0052] The vehicle matching module 130 is configured to control the target driverless delivery vehicle to drive to the area corresponding to the target location information.
[0053] In some feasible embodiments, the cargo identification module 110 can use lidar, cameras, etc. to sense the location and contour of the target cargo and determine the target location information of the target cargo. The target location information may include the coordinate information of the outer contour of the target cargo.
[0054] After determining the target location information, the cargo identification module 110 can collect the temperature of the area corresponding to the target location information to obtain the target cargo temperature.
[0055] In some feasible embodiments, the vehicle matching module 130 may also obtain the target location information, and after determining the target driverless delivery vehicle, control the target driverless delivery vehicle to drive to the area corresponding to the target location information to pick up the target goods.
[0056] In an embodiment of the present invention, the goods identification module 110 is configured to use the infrared thermal imaging temperature measurement method to extract the thermal imaging image of the area corresponding to the target location information; convert the thermal imaging image into temperature values according to a preset temperature comparison table; and calculate the temperature of the target goods according to the temperature values.
[0057] In some feasible embodiments, the goods identification module 110 may use the infrared thermal imaging temperature measurement method to extract the thermal imaging image of the area corresponding to the target location information; then, the goods identification module 110 may convert the thermal imaging image into multiple temperature values according to a preset temperature comparison table.
[0058] Next, the goods identification module 110 may calculate the temperature of the target goods according to each temperature value. Exemplarily, the average value of each temperature value may be calculated, or the median of each temperature value may be calculated. The embodiments of the present invention are not limited thereto.
[0059] In an embodiment of the present invention, the temperature values include multiple; the goods identification module 110 is configured to calculate the median of the multiple temperature values and use the median as the temperature of the target goods.
[0060] In some feasible embodiments, the goods identification module 110 may first calculate the median value of the multiple temperature values; then, the goods identification module 110 may use the median as the temperature of the target goods. The embodiments of the present invention are not limited thereto.
[0061] For example: convert the thermal imaging image 20 as shown in Figure 2 into temperature values according to a preset temperature comparison table, and obtain the following temperature values: 25, 23, 20, 18, 21, 100, 100, 100, 98, 96, 70, 60, 50, 46, 42, 30, 24, 23; determine that the median is 44, then determine that the temperature of the target goods is 44°C.
[0062] In an embodiment of the present invention, the refrigeration demand estimation module 120 is configured to generate target refrigeration demand information indicating that the target goods have a refrigeration demand when the difference between the target environmental temperature and the temperature of the target goods is not less than a first preset value and the target environmental temperature is greater than a second preset value; generate target refrigeration demand information indicating that the target goods do not have a refrigeration demand when the difference between the target environmental temperature and the temperature of the target goods is less than the first preset value or the target environmental temperature is not greater than the second preset value.
[0063] In some feasible embodiments, after obtaining the target cargo temperature and the target ambient temperature, the refrigeration demand estimation module 120 may calculate the difference between the target ambient temperature and the target cargo temperature.
[0064] If the difference is not less than the first preset value and the target ambient temperature is greater than the second preset value, it can be determined that there is a refrigeration demand when the target cargo is transported in the current environment; at this time, the target refrigeration demand information indicating that the target cargo has a refrigeration demand can be generated.
[0065] Conversely, if the difference is less than the first preset value, or the target ambient temperature is lower than the second preset value, it can be determined that there is no refrigeration demand when the target cargo is transported in the current environment; at this time, the target refrigeration demand information indicating that the target cargo has no refrigeration demand can be generated.
[0066] Exemplarily, the first preset value may be 10°C and the second preset value may be 20°C. The embodiments of the present invention are not limited thereto.
[0067] In some feasible embodiments, the cargo identification module 110 may also measure the size of the target cargo to be delivered; wherein, the size may include the length, width, and height of the target cargo, and may also include the shape of the target cargo, etc.
[0068] After determining the size of the target cargo, the vehicle matching module 130 may determine the target cargo hold conditions for delivering the target cargo based on the size of the target cargo and the target refrigeration demand information; wherein, the target cargo hold conditions may mean that the cargo hold can accommodate the cargo with the size of the target cargo and can also meet the temperature required by the target cargo.
[0069] After determining the target cargo hold conditions, a driverless delivery vehicle that can accommodate the cargo with the size of the target cargo and can also meet the temperature required by the target cargo can be determined from multiple driverless delivery vehicles, and it can be used as the target driverless delivery vehicle to deliver the target cargo.
[0070] In the embodiments of the present invention, the driverless delivery vehicle matching system includes: a cargo identification module for measuring the target cargo temperature of the target cargo to be delivered; a refrigeration demand estimation module for obtaining the target ambient temperature of the current environment and the target cargo temperature; and determining the target refrigeration demand information of the target cargo according to the target ambient temperature and the target cargo temperature; a vehicle matching module for determining the target cargo hold conditions for delivering the target cargo according to the target refrigeration demand information, and determining the target driverless delivery vehicle that meets the target cargo hold conditions. Through the embodiments of the present invention, the problems of low cargo matching efficiency and low accuracy in the scenario of driverless delivery vehicles can be effectively solved.
[0071] In addition, through the embodiments of the present invention, it is also possible to transport refrigerated goods by an unmanned delivery vehicle under ordinary warehouse conditions in a low-temperature environment, thereby reducing transportation costs.
[0072] Based on the above unmanned delivery vehicle distribution system, an embodiment of the present invention further provides a matching method for an unmanned delivery vehicle; this method can be applied to the unmanned delivery vehicle distribution system mentioned in the above embodiments. As Figure 3 shown, this method may include the following steps:
[0073] Step 301, obtain the target refrigeration demand information of the target goods to be delivered; the target refrigeration demand information is determined according to the target environmental temperature of the current environment and the target goods temperature of the target goods.
[0074] In practical applications, the goods identification module can determine the target goods to be delivered and measure the target goods temperature of the determined target goods.
[0075] After obtaining the target goods temperature, the goods identification module can send the target goods temperature to the refrigeration demand estimation module.
[0076] When obtaining the target goods temperature, the refrigeration demand estimation module can also obtain the target environmental temperature of the current environment of the goods. Then, the refrigeration demand estimation module can determine whether the target goods have a refrigerated transportation demand according to the target environmental temperature and the target goods temperature.
[0077] Specifically, when it is determined that the target goods have a refrigerated transportation demand, the refrigeration demand estimation module can generate target refrigeration demand information indicating that the target goods have a refrigerated transportation demand; when it is determined that the target goods do not have a refrigerated transportation demand, the refrigeration demand estimation module can generate target refrigeration demand information indicating that the target goods do not have a refrigerated transportation demand. The embodiments of the present invention do not limit this.
[0078] After generating the target refrigeration demand information, the refrigeration demand estimation module can send the target refrigeration demand information to the vehicle matching module.
[0079] Step 302, determine the target warehouse conditions for delivering the target goods according to the target refrigeration demand information, and determine the target unmanned delivery vehicle that meets the target warehouse conditions.
[0080] After receiving the target refrigeration demand information, the vehicle matching module can determine the target warehouse conditions for delivering the target goods based on the content in the target refrigeration demand information.
[0081] After determining the target warehouse conditions, the vehicle matching module can determine the target unmanned delivery vehicle that meets the target warehouse conditions.
[0082] In an embodiment of the present invention, the above method may further include the following steps:
[0083] Control the target unmanned delivery vehicle to deliver the target goods.
[0084] In some feasible embodiments, after determining the target unmanned delivery vehicle, the vehicle matching module may control the target unmanned delivery vehicle to complete the delivery of the target goods.
[0085] In some feasible embodiments, the goods recognition module may use a lidar, a camera, etc. to sense the position and contour of the target goods, and determine the target position information of the target goods. The target position information may include the coordinate information of the outer contour of the target goods.
[0086] After determining the target position information, the goods recognition module may collect the temperature of the area corresponding to the target position information to obtain the temperature of the target goods.
[0087] In some feasible embodiments, the vehicle matching module may also obtain the target position information, and after determining the target unmanned delivery vehicle, control the target unmanned delivery vehicle to drive to the area corresponding to the target position information to complete the pickup of the target goods.
[0088] In some feasible embodiments, the goods recognition module may use an infrared thermal imaging temperature measurement method to extract the thermal imaging image of the area corresponding to the target position information; then, the goods recognition module may convert the thermal imaging image into a plurality of temperature values according to a preset temperature comparison table.
[0089] Next, the goods recognition module may calculate the temperature of the target goods according to each temperature value. Exemplarily, the average value of each temperature value may be calculated, or the median of each temperature value may be calculated. The embodiments of the present invention do not limit this.
[0090] In some feasible embodiments, the goods recognition module may first calculate the median value of a plurality of temperature values; then, the goods recognition module may use the median as the temperature of the target goods. The embodiments of the present invention do not limit this.
[0091] In some feasible embodiments, after obtaining the temperature of the target goods and the target ambient temperature, the refrigeration demand estimation module may calculate the difference between the target ambient temperature and the temperature of the target goods.
[0092] If the difference is not less than the first preset value and the target ambient temperature is greater than the second preset value, it may be determined that there is a refrigeration demand for the target goods during transportation in the current environment; at this time, a target refrigeration demand information indicating that the target goods have a refrigeration demand may be generated.
[0093] Conversely, if the difference is less than the first preset value, or the target ambient temperature is lower than the second preset value, it can be determined that there is no refrigeration requirement for the target goods during transportation in the current environment; at this time, the target refrigeration requirement information indicating that the target goods have no refrigeration requirement can be generated.
[0094] Exemplarily, the first preset value can be 10°C, and the second preset value can be 20°C. The embodiments of the present invention are not limited thereto.
[0095] In the embodiments of the present invention, the target refrigeration requirement information of the target goods to be delivered is obtained; the target refrigeration requirement information is determined according to the target ambient temperature of the current environment and the target goods temperature of the target goods; according to the target refrigeration requirement information, the target warehouse conditions for delivering the target goods are determined, and the target driverless delivery vehicle that meets the target warehouse conditions is determined. Through the embodiments of the present invention, the problems of low goods matching efficiency and low accuracy in the scenario of driverless delivery vehicles can be effectively solved.
[0096] In addition, through the embodiments of the present invention, refrigerated goods can also be transported by a driverless delivery vehicle with ordinary warehouse conditions in a low-temperature environment, thereby reducing the transportation cost.
[0097] It should be noted that, for the method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of the present invention are not limited by the described action sequence, because according to the embodiments of the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.
[0098] The embodiments of the present invention also provide an electronic device, including a processor, a memory, and a computer program stored on the memory and capable of running on the processor. When the computer program is executed by the processor, the matching method of the driverless delivery vehicle as described above is implemented.
[0099] The embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, the matching method of the driverless delivery vehicle as described above is implemented.
[0100] For the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.
[0101] Each embodiment in this specification is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other.
[0102] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, an apparatus, or a computer program product. Therefore, the embodiments of the present invention can take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0103] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing terminal devices generate a device for implementing the functions specified in Figure 1 one or more flows and / or Figure 1 blocks.
[0104] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one or more flows and / or Figure 1 blocks.
[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal devices, such that a series of operation steps are executed on the computer or other programmable terminal devices to generate a computer-implemented process, so that the instructions executed on the computer or other programmable terminal devices provide steps for implementing the functions specified in Figure 1 one or more flows and / or Figure 1 blocks.
[0106] Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.
[0107] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or terminal device comprising the said element.
[0108] The above has introduced in detail a matching system for driverless delivery vehicles, a matching method for driverless delivery vehicles, an electronic device and a computer-readable storage medium. In this text, specific examples are used to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation on the present invention.
Claims
1. An unmanned delivery vehicle matching system, characterized in that The system includes: A goods identification module for measuring the target goods temperature of the target goods to be delivered; A refrigeration demand estimation module for obtaining the target ambient temperature of the current environment and the target goods temperature; and determining the target refrigeration demand information of the target goods according to the target ambient temperature and the target goods temperature; A vehicle matching module for determining the target cargo hold conditions for delivering the target goods according to the target refrigeration demand information, and determining a target driverless delivery vehicle that meets the target cargo hold conditions.
2. The system according to claim 1, wherein: The vehicle matching module is further configured to control the target driverless delivery vehicle to deliver the target goods.
3. The system according to claim 2, wherein: The goods identification module is further configured to determine the target position information of the target goods; collect the temperature of the area corresponding to the target position information to obtain the target goods temperature; The vehicle matching module is configured to control the target driverless delivery vehicle to travel to the area corresponding to the target position information.
4. The system according to claim 3, wherein: The goods identification module is configured to use an infrared thermal imaging temperature measurement method to extract a thermal imaging image of the area corresponding to the target position information; convert the thermal imaging image into a temperature value according to a preset temperature comparison table; and calculate the target goods temperature according to the temperature value.
5. The system according to claim 4, wherein The temperature values include multiple ones; The goods identification module is configured to calculate the median of the multiple temperature values and use the median as the target goods temperature.
6. The system according to claim 1, wherein: The refrigeration demand estimation module is configured to generate target refrigeration demand information indicating that the target goods have a refrigeration demand when the difference between the target ambient temperature and the target goods temperature is not less than a first preset value and the target ambient temperature is greater than a second preset value; and generate target refrigeration demand information indicating that the target goods do not have a refrigeration demand when the difference between the target ambient temperature and the target goods temperature is less than the first preset value or the target ambient temperature is not greater than the second preset value.
7. A matching method for an unmanned delivery vehicle, characterized in that, Applied to the system according to any one of claims 1-6; the method includes: Obtaining the target refrigeration demand information of the target goods to be delivered; the target refrigeration demand information is determined according to the target ambient temperature of the current environment and the target goods temperature of the target goods; Determining the target cargo hold conditions for delivering the target goods according to the target refrigeration demand information, and determining a target driverless delivery vehicle that meets the target cargo hold conditions.
8. The method according to claim 7, characterized in that, The method further includes: Controlling the target driverless delivery vehicle to deliver the target goods.
9. An electronic device, characterized in that, Comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, where when the computer program is executed by the processor, it implements the matching method of the driverless delivery vehicle according to any one of claims 7 to 8.
10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the matching method of the driverless delivery vehicle according to any one of claims 7 to 8.