Unmanned express station pickup method, device and equipment, storage medium and product

Abstract

The invention discloses an unmanned express station pick-up method and device, equipment, a storage medium and a product, and relates to the technical field of unmanned express station pick-up, the unmanned express station pick-up method comprises the following steps: collecting client identity information in an unmanned express station, and checking whether the client identity information has a corresponding pick-up reservation request; and if the client identity information has the reservation pick-up request, transmitting a target express corresponding to the reservation pick-up request to an optimal pick-up port, the optimal pick-up port being obtained by predicting through a preset pick-up port prediction model according to the reservation pick-up request. According to the method, the client identity of the client at the unmanned express station is checked, and the goods of the client with the request of ordering to pick up the goods are transported to the predicted optimal pick-up port, so that an express pick-up service of ''taking and walking'' of the client ordering to pick up the goods in advance is realized, and the pick-up efficiency of the unmanned express station is improved.

Description

Technical Field

[0001] The present application relates to the technical field of unmanned express station pickup, and in particular to unmanned express station pickup methods, devices, equipment, storage media and products. Background Art

[0002] In today's society, express delivery stations, as an emerging component of the logistics system, are becoming increasingly popular. Among them, unmanned express delivery stations in express delivery stations not only improve the efficiency of sending and picking up parcels, but also reduce the need for manual operations, thereby improving the convenience and safety of the overall service. However, existing unmanned express delivery stations usually rely on fixed operating procedures and cannot flexibly respond to emergencies such as crowds or a surge in the number of express deliveries, and cannot respond in time to ensure customer experience. At the same time, the existing unmanned express delivery stations require users to queue up for identity verification in turn, and after verification, the items need to be sorted and transported, resulting in low efficiency for users to pick up parcels.

[0003] Therefore, how to improve the efficiency of picking up parcels at unmanned express delivery stations is an urgent problem that needs to be solved. Summary of the invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and product for picking up items at an unmanned express station, aiming to solve the technical problem that picking up items at unmanned express stations is not convenient enough.

[0005] To achieve the above-mentioned purpose, the present application proposes a method for picking up items at an unmanned courier station, the method comprising: collecting customer identity information at the unmanned courier station, and verifying whether the customer identity information corresponds to a reservation pickup request; If the customer identity information contains the appointment pickup request, the target courier corresponding to the appointment pickup request is transmitted to the optimal pickup port, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

[0006] In one embodiment, before the step of transmitting the target courier corresponding to the scheduled pickup request to the optimal pickup port, the step includes: Parse the pickup reservation request and determine the pickup reservation time period and target courier; Predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model; Dynamically allocate the target courier to the courier preparation warehouse closest to the optimal pickup port.

[0007] In one embodiment, the step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model includes: Collect real-time crowd distribution data in unmanned express delivery stations; Based on a preset historical crowd distribution database, determine the historical crowd distribution reference data corresponding to the scheduled pickup time period; The real-time crowd distribution data and the historical crowd distribution reference data are input into the pickup port prediction model to predict the crowd distribution data for the scheduled pickup time period, and determine the optimal pickup port corresponding to the scheduled pickup time period.

[0008] In one embodiment, the step of dynamically allocating the target courier to the courier preparation warehouse closest to the optimal pickup port includes: Scan the label of the target courier to obtain package identification data; Collect the inventory status of each express reserve warehouse in the unmanned express station in real time, and match the candidate express reserve warehouse that meets the requirements according to the package identification data; According to the location of the optimal pickup port, select the candidate express pre-storage warehouse closest to the optimal pickup port as the target express pre-storage warehouse; Transport the target express to the target express preparation warehouse.

[0009] In one embodiment, the step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model includes: If the target courier has not yet arrived at the unmanned courier station, the optimal pickup port is used as the courier's storage port; When it is detected that the courier's storage port has received the target express, the target express is transported to the express preparation warehouse.

[0010] In one embodiment, the step of transporting the target express to the target express preparation warehouse includes: The millimeter-wave radar is used to detect the length of time the customer stays at the pickup port, and the guidance protocol is triggered when the length of time exceeds a preset threshold; Activate the light and voice equipment of the pickup cabinet door and play the preset guidance information corresponding to the guidance protocol.

[0011] In addition, to achieve the above-mentioned purpose, the present application also proposes an unmanned express station pickup device, the unmanned express station pickup device comprising: A collection module, used to collect customer identity information in the unmanned express delivery station and verify whether the customer identity information corresponds to a reservation pickup request; A transmission module is used to transmit the target courier corresponding to the appointment pickup request to the optimal pickup port if the appointment pickup request exists in the customer identity information, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes an unmanned express station pickup device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the unmanned express station pickup method as described above.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the unmanned express station pickup method described above are implemented.

[0014] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the unmanned express station pickup method as described above.

[0015] One or more technical solutions proposed in this application have at least the following technical effects: Compared with the related art, the existing unmanned express delivery stations usually rely on fixed operating procedures, and cannot flexibly respond to emergencies such as crowd gathering or a surge in the number of express deliveries, and cannot respond in time to ensure customer experience. At the same time, the existing unmanned express delivery stations require users to queue up and verify their identities in turn, and after verification, the items need to be sorted and transported, resulting in low efficiency of user pickup. In comparison, this application collects customer identity information in the unmanned express delivery station and verifies whether the customer identity information has a corresponding appointment pickup request; if the customer identity information has the appointment pickup request, the target express corresponding to the appointment pickup request is transmitted to the optimal pickup port, wherein the optimal pickup port is predicted by the preset pickup port prediction model based on the appointment pickup request. It can be understood that this application adopts the method of verifying the customer identity of the customer at the unmanned express delivery station, and transporting the goods of the customer with the appointment pickup request to the predicted optimal pickup port, so as to realize the "pick-up and go" express pickup service for customers who make appointment pickup in advance, and improve the pickup efficiency of the unmanned express delivery station. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 A flowchart diagram of the first embodiment of the unmanned express station pickup method of this application; Figure 2 A flowchart diagram of the second embodiment of the unmanned express station pickup method of this application; Figure 3 A flowchart diagram of the third embodiment of the unmanned express station pickup method of this application; Figure 4 This is a schematic diagram of the module structure of the unmanned express station pickup device according to an embodiment of the present application; Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the unmanned express station pickup method in the embodiment of the present application.

[0019] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0021] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0022] The main solutions of the embodiments of this application are: Collect customer identity information in the unmanned express station, and check whether the customer identity information corresponds to a reservation pickup request; if the customer identity information corresponds to the reservation pickup request, transmit the target express corresponding to the reservation pickup request to the optimal pickup port, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the reservation pickup request. In this embodiment, the application uses the unmanned express station pickup device as the execution subject, and for ease of description, it is specifically described as "device" below.

[0023] Due to existing technology, unmanned delivery stations usually rely on manual monitoring and fixed operating procedures and cannot flexibly respond to emergencies. For example, when crowds gather or the number of express deliveries surges, existing equipment may not be able to respond in time to ensure customer experience.

[0024] This application provides a solution, which obtains the audio and video information of the customer's pickup at the express station, analyzes this information to determine the pickup information and identity authentication information, and then sorts the target express to the preset express pre-warehouse, and after verifying the customer's identity information, it is transported to the pickup port through an optimized path, which simplifies the pickup process and improves the accuracy and efficiency of pickup. Specifically, the system first uses computer vision technology to analyze the monitoring video stream, generates a dynamic heat map to track the customer gathering situation in real time, and automatically adjusts the sorting channel according to the color concentration of the heat map to ensure a smooth pickup process; at the same time, the RFID reader is used to batch read the express label data, combined with the sorting decision model for optimal pairing, and quickly and accurately sorts the express items to the scheduled warehouse. After that, by analyzing the layout of the station and the distribution of people, the ant colony algorithm is used to generate an allocation plan, which not only provides a priority pickup area for the elderly, but also reasonably arranges the special port for emergency items and the ordinary pickup port, effectively improving the efficiency of sorting and pickup. Provide customers with appointment pickup services, predict waiting time and provide pickup port solutions to further optimize customer experience. Finally, the millimeter-wave radar is used to monitor the customer's stay time. When the threshold is exceeded, the guidance protocol is initiated to instruct the customer to open the door, and the voice assistant dialect assistance mode is automatically switched based on voiceprint recognition, which comprehensively improves the service experience and convenience of the unmanned express station.

[0025] Based on this, the embodiment of the present application provides a method for picking up items at an unmanned express station, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the unmanned courier station pickup method of the present application.

[0026] In this embodiment, the unmanned express station pickup method includes steps S10 to S20: Step S10, collecting customer identity information in the unmanned express delivery station, and checking whether the customer identity information corresponds to a reservation pickup request; It should be noted that customer identity information refers to the information provided by users for identity verification when picking up parcels at unmanned express delivery stations, which usually includes but is not limited to ID number, mobile phone number, face recognition data, fingerprint information or appointment pickup code, etc. This information is used to confirm the user's identity and ensure that authorized users can pick up parcels.

[0027] A pickup request is a request sent by a user to an unmanned courier station in advance via a mobile app, text message or other means. A pickup request usually includes the user's identity information, the target courier's identifier (such as the courier number) and the scheduled pickup time period.

[0028] An unmanned express delivery station is an automated logistics facility used to store and distribute express parcels. It is usually equipped with intelligent equipment, including but not limited to facial recognition systems, RFID readers, automatic sorting systems, etc., which can realize unattended express delivery storage and retrieval services.

[0029] It is understandable that a user made an appointment for the pickup service of the unmanned express delivery station in advance through the mobile phone application, and the appointment time was between 3 and 4 pm on the same day. The user entered his mobile phone number and express delivery number when making the appointment, and received the pickup verification code sent by the system.

[0030] When the user arrives at the unmanned express delivery station, the system collects the user's facial information through the face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0031] Step S20: If the customer identity information contains the appointment pickup request, the target courier corresponding to the appointment pickup request is transmitted to the optimal pickup port, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

[0032] It should be noted that the optimal pickup port refers to the pickup port that is most suitable for users to pick up parcels, predicted by the unmanned courier station based on real-time crowd distribution data and historical data. It is usually selected in a location with fewer people and the highest pickup efficiency to reduce user waiting time. Target express refers to a specific express package that the user has made an appointment to pick up. It is usually associated with the user's appointment pickup request, including the courier number, sender information, recipient information, etc. The pickup port prediction model is an algorithm model based on machine learning or data analysis, which is used to predict the optimal pickup port in different time periods within the unmanned courier station. The model is usually trained in combination with real-time crowd distribution data and historical crowd distribution data to improve the accuracy of the prediction.

[0033] It is understandable that a user made an appointment for the pickup service of the unmanned express delivery station in advance through the mobile phone application, and the appointment time was between 3 and 4 pm on the same day. The user entered his mobile phone number and express delivery number when making the appointment, and received the pickup verification code sent by the system.

[0034] When the user arrives at the unmanned express delivery station, the system collects the user's facial information through the face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0035] Based on the real-time collected crowd distribution data and historical data in the unmanned express delivery station, the system predicts the optimal pickup port location between 3pm and 4pm through the preset pickup port prediction model. The system dynamically allocates the target express from the express reserve warehouse to the reserve warehouse closest to the optimal pickup port, and transports the express to the optimal pickup port through the automatic sorting system.

[0036] When the user reaches the optimal pickup port, the system detects the user's lingering behavior through the millimeter-wave radar and automatically opens the door of the pickup port. After the user enters the pickup verification code, the door opens and the user completes the pickup. The entire process realizes "pick up and go", greatly improving the efficiency of pickup.

[0037] During this process, the system verifies customer identity information to ensure that authorized users can pick up items. At the same time, it dynamically allocates the optimal pickup port through the pickup port prediction model, reducing user waiting time and improving the overall service experience.

[0038] In a feasible implementation manner, before the step of transmitting the target courier corresponding to the scheduled pickup request to the optimal pickup port, the step includes: Parse the pickup reservation request and determine the pickup reservation time period and target courier; Predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model; Dynamically allocate the target courier to the courier preparation warehouse closest to the optimal pickup port.

[0039] It should be noted that the scheduled pickup time period refers to the time range specified by the user when making a pickup appointment, which is usually used for system prediction and allocation of resources.

[0040] The express preparation warehouse is a storage area within an unmanned express station used for temporary storage of express deliveries, usually close to the pickup port to facilitate quick sorting and transportation of express deliveries.

[0041] It is understandable that a user made an appointment for the pickup service of the unmanned express delivery station in advance through the mobile phone application, and the appointment time was between 3 and 4 pm on the same day. The user entered his mobile phone number and express delivery number when making the appointment, and received the pickup verification code sent by the system.

[0042] When the user arrives at the unmanned express delivery station, the system collects the user's facial information through the face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0043] The system first analyzes the scheduled pickup request and determines that the scheduled pickup time period is 3pm to 4pm and the target courier is the courier number specified by the user. Next, the system predicts the optimal pickup location between 3pm and 4pm based on the preset pickup port prediction model, combined with real-time crowd distribution data and historical data.

[0044] The system dynamically assigns the target express to the express warehouse closest to the optimal pickup port. The RFID reader scans the label of the target express to obtain the package quantity, volume, weight and priority identification data. The system collects the inventory status of each express warehouse in the unmanned express station in real time, matches the candidate express warehouses that meet the requirements, and calculates the distance from each candidate express warehouse to the optimal pickup port, and selects the candidate express warehouse closest to the optimal pickup port as the target express warehouse. Finally, the system transports the target express to the target express warehouse through automatic transportation equipment.

[0045] When the user reaches the optimal pickup port, the system detects the user's lingering behavior through the millimeter-wave radar and automatically opens the door of the pickup port. After the user enters the pickup verification code, the door opens and the user completes the pickup. The entire process realizes "pick up and go", greatly improving the efficiency of pickup.

[0046] During this process, the system parses the scheduled pickup request, determines the scheduled pickup time period and target courier, uses the pickup port prediction model to predict the optimal pickup port, and dynamically allocates the courier to the nearest reserve warehouse to ensure that users can complete the pickup quickly and conveniently.

[0047] In a feasible implementation manner, the step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model includes: Collect real-time crowd distribution data in unmanned express delivery stations; Based on a preset historical crowd distribution database, determine the historical crowd distribution reference data corresponding to the scheduled pickup time period; The real-time crowd distribution data and the historical crowd distribution reference data are input into the pickup port prediction model to predict the crowd distribution data for the scheduled pickup time period, and determine the optimal pickup port corresponding to the scheduled pickup time period.

[0048] It should be noted that real-time crowd distribution data refers to the current crowd density and distribution in each area within the unmanned express delivery station, which is usually collected in real time through sensors (such as cameras, infrared sensors or millimeter wave radars).

[0049] The historical crowd distribution database is a data set that stores the distribution of people in unmanned express delivery stations in various time periods in the past, and is used to provide reference data for the prediction model.

[0050] Historical crowd distribution reference data refers to historical data similar to the current appointment pickup time period extracted from the historical crowd distribution database, which is used to assist the prediction model in making crowd distribution predictions.

[0051] It is understandable that a user made an appointment for the pickup service of the unmanned express delivery station in advance through the mobile phone application, and the appointment time was between 3 and 4 pm on the same day. The user entered his mobile phone number and express delivery number when making the appointment, and received the pickup verification code sent by the system.

[0052] When the user arrives at the unmanned express delivery station, the system collects the user's facial information through the face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0053] The system first analyzes the appointment pickup request and determines that the appointment pickup time period is 3pm to 4pm, and the target courier is the courier number specified by the user. Next, the system collects real-time crowd distribution data in the unmanned courier station, and obtains the current crowd density and distribution in each area through multiple cameras and millimeter wave radars installed in the station.

[0054] The system determines the historical crowd distribution reference data corresponding to the time period from 3pm to 4pm based on the preset historical crowd distribution database. The historical crowd distribution database stores the crowd distribution in the same time period in the past few weeks. The system uses data analysis algorithms to extract the historical data most similar to the current scheduled pickup time period as a reference.

[0055] The real-time crowd distribution data and historical crowd distribution reference data are input into the pickup port prediction model. The pickup port prediction model combines real-time data and historical data, and predicts the predicted crowd distribution data from 3pm to 4pm through a machine learning algorithm. Based on the prediction results, the system determines the optimal pickup port location during this time period, and selects the pickup port with lower crowd density and higher pickup efficiency as the optimal pickup port.

[0056] The system dynamically assigns the target express to the express warehouse closest to the optimal pickup port. The RFID reader scans the label of the target express to obtain the package quantity, volume, weight and priority identification data. The system collects the inventory status of each express warehouse in the unmanned express station in real time, matches the candidate express warehouses that meet the requirements, and calculates the distance from each candidate express warehouse to the optimal pickup port, and selects the candidate express warehouse closest to the optimal pickup port as the target express warehouse. Finally, the system transports the target express to the target express warehouse through automatic transportation equipment.

[0057] When the user reaches the optimal pickup port, the system detects the user's lingering behavior through the millimeter-wave radar and automatically opens the door of the pickup port. After the user enters the pickup verification code, the door opens and the user completes the pickup. The entire process realizes "pick up and go", greatly improving the efficiency of pickup.

[0058] During this process, the system collects crowd distribution data and references historical data in real time, and uses the pickup port prediction model to dynamically allocate the optimal pickup port, ensuring that users can complete the pickup quickly and conveniently, while improving the overall operational efficiency of the unmanned express station.

[0059] In a feasible implementation manner, the step of dynamically allocating the target courier to the courier preparation warehouse closest to the optimal pickup port includes: Scan the label of the target courier to obtain package identification data; Collect the inventory status of each express reserve warehouse in the unmanned express station in real time, and match the candidate express reserve warehouse that meets the requirements according to the package identification data; According to the location of the optimal pickup port, select the candidate express pre-storage warehouse closest to the optimal pickup port as the target express pre-storage warehouse; Transport the target express to the target express preparation warehouse.

[0060] It should be noted that the package identification data includes but is not limited to package quantity data, volume data, weight data, and priority identification data. Package quantity data refers to the quantity information of express packages, which is usually used to determine the total number of packages that need to be stored or transported. Volume data refers to the volume information of express packages, which is usually used to determine the storage space required for packages. Weight data refers to the weight information of express packages, which is usually used to determine load limits during transportation and storage. Priority identification data refers to the priority information of express packages, which is usually used to distinguish the urgency of express delivery or special handling requirements.

[0061] Inventory status refers to information such as the quantity, volume, and weight of express deliveries currently stored in the express reserve warehouse, which is used to evaluate the available space and load capacity of the reserve warehouse.

[0062] A candidate express reserve warehouse refers to an express reserve warehouse that meets the requirements and is matched based on the package quantity, volume, weight and priority identification data.

[0063] The target express preparation warehouse refers to the preparation warehouse selected from the candidate express preparation warehouses that is closest to the optimal pickup port and is used to store the target express.

[0064] It is understandable that in unmanned express delivery stations, RFID readers are used to scan RFID tags on express packages to obtain relevant information about the packages. A user made an appointment for the pickup service of an unmanned express delivery station in advance through a mobile phone application, and the appointment time was from 3 to 4 pm on the same day. When making the appointment, the user entered his mobile phone number and express delivery number, and received a pickup verification code sent by the system.

[0065] When the user arrives at the unmanned express delivery station, the system collects the user's facial information through the face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0066] The system first parses the scheduled pickup request and determines that the scheduled pickup time period is between 3pm and 4pm, and that the target courier is the courier number specified by the user. Next, the system scans the label of the target courier through the RFID reader to obtain the package identification data. For example, the system reads that the courier contains 1 package, with a volume of 0.1 cubic meters, a weight of 5 kilograms, and a priority mark of "high".

[0067] The system collects the inventory status of each express reserve warehouse in the unmanned express station in real time, including the number of express deliveries currently stored in each reserve warehouse, the total volume and the total weight. The system matches the candidate express reserve warehouses that meet the requirements based on the package quantity data, volume data, weight data and priority identification data in the obtained package identification data. For example, the system selects three reserve warehouses whose remaining space and load capacity can meet the needs of the target express.

[0068] Next, the system calculates the distance from each candidate express warehouse to the optimal pickup port based on the location of the optimal pickup port. Through distance calculation, the system finds that one of the warehouses is closest to the optimal pickup port, only 10 meters away, while the distances to the other two warehouses are 15 meters and 20 meters respectively.

[0069] The system selects the candidate express warehouse closest to the optimal pickup port as the target express warehouse, and transports the target express to the target express warehouse through automatic transportation equipment. The transportation equipment transports the express from the sorting area to the target express warehouse according to the preset transportation path, ensuring that the express can reach the designated location quickly and accurately.

[0070] When the user reaches the optimal pickup port, the system detects the user's lingering behavior through the millimeter-wave radar and automatically opens the door of the pickup port. After the user enters the pickup verification code, the door opens and the user completes the pickup. The entire process realizes "pick up and go", greatly improving the efficiency of pickup.

[0071] In this process, the system obtains detailed information of the express delivery through the RFID reader, evaluates the inventory status of each reserve warehouse in real time, matches the reserve warehouse that meets the requirements, and selects the best reserve warehouse for express delivery storage. This process not only improves the efficiency of express delivery sorting and storage, but also ensures that users can complete the collection quickly and conveniently.

[0072] For example, the unmanned express delivery station is equipped with multiple express storage warehouses and multiple pickup ports. The type of pickup port can be set according to different restrictions, and each pickup port has a corresponding express storage warehouse group. The restrictions include but are not limited to the size of the express volume that can be accommodated, whether there is a refrigeration function, whether there is a confidentiality authentication function, etc. Figure 3 According to the size of the express parcels that can be accommodated, it can be divided into large parcel pickup ports, medium parcel pickup ports, and small parcel pickup ports.

[0073] The small-parcel preparation warehouse group contains multiple small-parcel preparation warehouses for storing small-volume express parcels. These preparation warehouses are close to the small-parcel pickup ports A and B, so that small-parcel express parcels can be quickly transferred to the pickup ports. The medium-parcel preparation warehouse group contains multiple medium-parcel preparation warehouses for storing medium-volume express parcels. These preparation warehouses are close to the medium-parcel pickup port C, so that medium-parcel express parcels can be quickly transferred to the pickup port. The large-parcel preparation warehouse group contains multiple large-parcel preparation warehouses for storing large-volume express parcels. These preparation warehouses are close to the large-parcel pickup port D, so that large-parcel express parcels can be quickly transferred to the pickup port.

[0074] Collect the inventory status of each express reserve warehouse in the unmanned express delivery station in real time, including the number, total volume and total weight of express currently stored in each reserve warehouse. According to the acquired package quantity data, volume data, weight data and priority identification data, match the candidate express reserve warehouse that meets the requirements.

[0075] According to the location of the optimal pickup port, the candidate express pre-arrangement warehouse closest to the optimal pickup port in the pre-arrangement warehouse group corresponding to the optimal pickup port is selected as the target express pre-arrangement warehouse, and the target express is transported to the target express pre-arrangement warehouse through automatic transportation equipment. The transportation equipment transports the express from the sorting area to the target express pre-arrangement warehouse according to the preset transportation path, ensuring that the express can reach the designated location quickly and accurately.

[0076] The method of storing the corresponding reserve warehouse group according to the location of the optimal pickup port includes but is not limited to selecting the candidate express reserve warehouse closest to the optimal pickup port as the target express reserve warehouse.

[0077] In this embodiment, by establishing a precise correspondence between the pickup port and the express pre-arrangement warehouse group, combined with real-time inventory monitoring and dynamic allocation mechanism, it is ensured that the customer can quickly pick up the express prepared in the pre-arrangement warehouse after appointment authentication, and realize the efficient experience of pick-up and go. Specifically, the unmanned express station sets different types of pickup ports according to the constraints such as express volume and functional requirements, and assigns a corresponding pre-arrangement warehouse group to each pickup port, such as a small item pickup port corresponding to a small item pre-arrangement warehouse group, and a refrigerated pickup port corresponding to a refrigerated pre-arrangement warehouse group. When the customer makes an appointment, he provides authentication information and pickup requirements. The system allocates the express to the most suitable pre-arrangement warehouse based on this information, and ensures that the express is accurately in place before the customer arrives through automatic transportation equipment. After the customer arrives, he can quickly pick up the item without waiting by scanning the code, entering the pickup code or face recognition and other authentication methods. This design not only optimizes the express storage and transmission process, but also ensures the safety and convenience of pickup through the appointment authentication mechanism, ensuring the efficient operation of the unmanned express station and the improvement of user experience.

[0078] In a feasible implementation manner, the step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to the preset pickup port prediction model includes: If the target courier has not yet arrived at the unmanned courier station, the optimal pickup port is used as the courier's storage port; When it is detected that the courier's storage port has received the target express, the target express is transported to the express preparation warehouse.

[0079] It should be noted that the courier storage port is a pickup port in the unmanned courier station specifically used by couriers to store parcels. When the target parcel has not yet arrived at the unmanned courier station, the system will temporarily set the optimal pickup port as the courier storage port so that the courier can quickly store the parcel.

[0080] It is understandable that a courier arrives at an unmanned courier station to deposit a batch of parcels. The system collects the courier's facial information through a facial recognition device and verifies it with the courier's identity information in the database. After the verification is passed, the system confirms that the courier has the corresponding storage authority and triggers the courier sorting process.

[0081] The system first analyzes the courier's storage request and determines the list of couriers that need to be stored. Next, the system scans the label of each courier through the RFID reader to obtain the package quantity data, volume data, weight data and priority identification data in the package identification data. For example, the system reads that the batch of couriers contains 5 packages with a total volume of 0.5 cubic meters and a total weight of 25 kilograms, and one of the packages has a priority identification of "high".

[0082] The system collects the inventory status of each express reserve warehouse in the unmanned express delivery station in real time, including the number of express deliveries currently stored in each reserve warehouse, the total volume and the total weight. The system matches the candidate express reserve warehouses that meet the requirements based on the acquired package quantity data, volume data, weight data and priority identification data. For example, the system selects three reserve warehouses whose remaining space and load capacity can meet the needs of this batch of express deliveries.

[0083] The system calculates the distance from each candidate express warehouse to the optimal pickup port based on the location of the optimal pickup port. Through distance calculation, the system finds that one of the warehouses is closest to the optimal pickup port, only 10 meters away, while the distances to the other two warehouses are 15 meters and 20 meters respectively.

[0084] The system selects the candidate express warehouse closest to the optimal pickup port as the target express warehouse, and transports the target express to the target express warehouse through automatic transportation equipment. The transportation equipment transports the express from the sorting area to the target express warehouse according to the preset transportation path, ensuring that the express can reach the designated location quickly and accurately.

[0085] When the courier has finished depositing the parcel, the system detects the courier's departure through the millimeter-wave radar and automatically closes the door of the storage port. The system updates the inventory status of the courier reserve warehouse and notifies the relevant users that their parcels have arrived and can be picked up.

[0086] In this process, the system verifies the courier's identity information to ensure that the authorized courier can store the parcels. At the same time, it improves the efficiency of express storage and sorting by dynamically allocating express reserve warehouses. This process not only improves the courier's storage efficiency, but also ensures the overall operational efficiency of the unmanned express station.

[0087] In a feasible implementation manner, the step of transporting the target express to the target express preparation warehouse includes: The millimeter-wave radar is used to detect the length of time the customer stays at the pickup port, and the guidance protocol is triggered when the length of time exceeds a preset threshold; Activate the light and voice equipment of the pickup cabinet door and play the preset guidance information corresponding to the guidance protocol.

[0088] It should be noted that millimeter wave radar is a device that uses electromagnetic waves in the millimeter wave frequency band for target detection and ranging. In unmanned express delivery stations, millimeter wave radar is used to detect the length of time customers stay at the pickup port, with high accuracy and real-time performance.

[0089] Guidance protocols refer to a series of preset processes and instructions used in unmanned express delivery stations to guide customers to complete the pickup operation. It usually includes light and voice prompts to help customers quickly find the pickup port and complete the pickup.

[0090] Dwell time refers to the length of time a customer stays at the pickup port. By detecting dwell time, the system can determine whether the customer needs additional guidance or assistance.

[0091] It is understandable that a user arrives at the pickup port of an unmanned express delivery station to pick up a package. The system collects the user's facial information through a face recognition device and verifies it with the identity information in the reservation database. After the verification is passed, the system confirms that the user has a corresponding reservation pickup request and triggers the express sorting process.

[0092] The system uses millimeter-wave radar to detect in real time how long the user stays at the pickup port. If the user's stay time exceeds a preset threshold (for example, more than 30 seconds), the system will determine that the user may need additional guidance.

[0093] The system activates the light and voice equipment on the door of the pickup cabinet and plays the preset guidance information. For example, the system will prompt the user through voice: "Please enter your pickup code at the pickup port, your express delivery is ready." At the same time, the light at the pickup port will flash to attract the user's attention.

[0094] After hearing the voice prompt, the user enters the pickup verification code, the cabinet door automatically opens, and the user completes the pickup. The entire process is monitored in real time by the millimeter-wave radar and the activation of the guidance protocol ensures that the user can complete the pickup quickly and conveniently, and can provide timely assistance even when the user encounters difficulties.

[0095] For example, in order to help understand the implementation process of the unmanned express station pickup method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 2 , Figure 2 A brief flow chart of a method for picking up parcels at an unmanned express delivery station is provided, specifically: A user made an appointment for the pickup service at an unmanned express delivery station through a mobile phone APP, and the appointment time period is 14:00-15:00 on the same day. After the user arrives at the unmanned express delivery station, the system verifies the user's identity information through face recognition or code scanning, and checks whether the user has a corresponding appointment pickup request. After the system confirms the user's identity, it enters the following process: Parsing of appointment pickup requests and prediction of optimal pickup port: The system parses the user's appointment pickup request, determines the appointment time period as 14:00-15:00, and extracts the identification information of the target courier. Based on the preset pickup port prediction model, the system collects real-time crowd distribution data in the unmanned courier station in real time, and combines the reference data in the historical crowd distribution database to predict the location of the optimal pickup port in the 14:00-15:00 time period. For example, the prediction result shows that pickup port A near the entrance is the optimal pickup port.

[0096] Dynamically allocate express to the reserve warehouse: The system scans the label of the target express through the RFID reader to obtain the package quantity, volume, weight and priority identification data. At the same time, the system collects the inventory status of each express reserve warehouse in the unmanned express station in real time, and matches the candidate express reserve warehouse that meets the package volume and weight requirements. According to the location of the optimal pickup port A, the system calculates the distance from each candidate reserve warehouse to the pickup port A, and selects the nearest reserve warehouse B as the storage location of the target express. The target express is transported to the reserve warehouse B by automated transmission equipment (such as a roller conveyor or a small robot).

[0097] Courier storage process (if the courier has not arrived yet): If the target courier has not arrived at the unmanned courier station, the system will temporarily use the optimal pickup port A as the courier's storage port. After the courier verifies his identity through face recognition or code scanning, he will deposit the target courier into the storage port A assigned by the system. The system will automatically transport the target courier from the storage port A to the reserve warehouse B to complete the pre-allocation of the courier.

[0098] User pickup and guidance protocol: After the user arrives at the unmanned courier station, the system verifies the user's identity through facial recognition or code scanning, and verifies the appointment pickup request. After confirmation, the system transports the target courier from the reserve warehouse B to the optimal pickup port A. The user completes the pickup operation at the pickup port A. If the user's residence time at the pickup port exceeds the preset threshold (for example, 30 seconds), the system detects this through the millimeter wave radar and triggers the guidance protocol. The light and voice device on the door of the pickup cabinet is activated, and the preset guidance information is played, such as "Please find your package according to the light guidance, and please take it away as soon as possible after unpacking." At the same time, the light guidance array displays the unpacking vector direction to help users quickly find the target courier.

[0099] Abnormal situation handling: If the target courier has not arrived at the unmanned courier station when the user arrives, the system will notify the user of the estimated arrival time of the courier through the APP and suggest that the user return later. When the courier arrives, the system will notify the user again and reallocate the optimal pickup port.

[0100] Through the above process, the unmanned express station has achieved efficient pickup service. Users do not need to wait in line, and the pickup process takes only 1 minute at the fastest. At the same time, the system optimizes the pickup route and user experience through real-time data analysis and dynamic adjustment.

[0101] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the unmanned express station pickup method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0102] This application also provides an unmanned express station pickup device, please refer to Figure 4 , the unmanned express station pickup device comprises: The collection module 10 is used to collect the customer identity information in the unmanned express delivery station and verify whether there is a corresponding appointment pickup request for the customer identity information; The transmission module 20 is used to transmit the target courier corresponding to the appointment pickup request to the optimal pickup port if the appointment pickup request exists in the customer identity information, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

[0103] And / or, the unmanned express station pickup device includes: A first determination module is used to analyze the scheduled pickup request and determine the scheduled pickup time period and the target courier; A first prediction module, used to predict the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model; The first allocation module is used to dynamically allocate the target express to the express preparation warehouse closest to the optimal pickup port.

[0104] And / or, the first prediction module includes: The first collection module is used to collect real-time crowd distribution data in the unmanned express delivery station; A second determination module is used to determine the historical crowd distribution reference data corresponding to the scheduled pickup time period based on a preset historical crowd distribution database; The second prediction module is used to input the real-time crowd distribution data and the historical crowd distribution reference data into the pickup port prediction model, predict the predicted crowd distribution data for the scheduled pickup time period, and determine the optimal pickup port corresponding to the scheduled pickup time period.

[0105] And / or, the first allocation module includes: A first scanning module, used to scan the label of the target express to obtain package identification data; The second collection module is used to collect the inventory status of each express reserve warehouse in the unmanned express station in real time, and match the candidate express reserve warehouse that meets the requirements according to the package identification data; A first selection module is used to select a candidate express pre-warehouse closest to the optimal pickup port as a target express pre-warehouse according to the location of the optimal pickup port; The first transport module is used to transport the target express to the target express preparation warehouse.

[0106] And / or, the unmanned express station pickup device includes: A first conversion module is used to use the optimal pickup port as the courier's storage port if the target courier has not yet arrived at the unmanned courier station; The second transport module is used to transport the target express to the express preparation warehouse when it is detected that the courier storage port has received the target express.

[0107] And / or, the unmanned express station pickup device includes: The first trigger module is used to detect the length of time a customer stays at the pickup port through a millimeter wave radar, and trigger the guidance protocol when the length of time exceeds a preset threshold; The first guidance module is used to activate the light and voice equipment of the pickup cabinet door and play the preset guidance information corresponding to the guidance protocol.

[0108] The unmanned express station pickup device provided by the present application adopts the unmanned express station pickup method in the above embodiment, which can solve the technical problem that the unmanned express station pickup is not convenient enough. Compared with the prior art, the unmanned express station pickup device provided by the present application has the same beneficial effects as the unmanned express station pickup method provided by the above embodiment, and the other technical features of the unmanned express station pickup device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0109] The present application provides an unmanned express station pickup device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the unmanned express station pickup method in the above-mentioned embodiment one.

[0110] Reference below Figure 5 , which shows a schematic diagram of the structure of the unmanned express station pickup device suitable for implementing the embodiment of the present application. The unmanned express station pickup device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, tablet computers, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital televisions, desktop computers, etc. Figure 5 The unmanned courier station pickup equipment shown is merely an example and should not bring any limitations to the functions and scope of use of the embodiments of the present application.

[0111] like Figure 5As shown, the unmanned express station pickup device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the unmanned express station pickup device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the unmanned express station pickup device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an unmanned express station pickup device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0112] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0113] The unmanned express station pickup device provided by the present application adopts the unmanned express station pickup method in the above embodiment, which can solve the technical problem that the unmanned express station pickup is not convenient enough. Compared with the prior art, the unmanned express station pickup device provided by the present application has the same beneficial effects as the unmanned express station pickup method provided by the above embodiment, and the other technical features of the unmanned express station pickup device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0114] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0115] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0116] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the unmanned express station pickup method in the above-mentioned embodiment.

[0117] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0118] The above-mentioned computer-readable storage medium may be included in the unmanned express station pickup device; or it may exist independently without being assembled into the unmanned express station pickup device.

[0119] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the unmanned courier station pickup device, the unmanned courier station pickup device: collects customer identity information in the unmanned courier station, and checks whether the customer identity information corresponds to a reservation pickup request; If the customer identity information contains the appointment pickup request, the target courier corresponding to the appointment pickup request is transmitted to the optimal pickup port, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

[0120] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0121] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0122] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0123] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned unmanned express station pickup method, and can solve the technical problem that the unmanned express station pickup is not convenient enough. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the unmanned express station pickup method provided in the above-mentioned embodiment, and will not be repeated here.

[0124] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the unmanned express station pickup method as described above.

[0125] The computer program product provided by this application can solve the technical problem that the unmanned express station pickup is not convenient enough. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the unmanned express station pickup method provided by the above embodiment, which will not be repeated here.

[0126] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for picking up parcels at an unmanned express delivery station, characterized in that: The method includes: Collect customer identity information at the unmanned courier station and verify whether the customer identity information corresponds to a pickup appointment request; If the customer identity information contains the appointment pickup request, the target courier corresponding to the appointment pickup request is transmitted to the optimal pickup port, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

2. The method according to claim 1, characterized in that The step of transmitting the target courier corresponding to the scheduled pickup request to the optimal pickup port includes: Parse the pickup reservation request and determine the pickup reservation time period and target courier; Predicting the optimal pickup port corresponding to the scheduled pickup time period according to a preset pickup port prediction model; Dynamically allocate the target courier to the courier preparation warehouse closest to the optimal pickup port.

3. The method according to claim 2, characterized in that The step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to the preset pickup port prediction model comprises: Collect real-time crowd distribution data in unmanned express delivery stations; Based on a preset historical crowd distribution database, determine the historical crowd distribution reference data corresponding to the scheduled pickup time period; The real-time crowd distribution data and the historical crowd distribution reference data are input into the pickup port prediction model to predict the crowd distribution data for the scheduled pickup time period, and determine the optimal pickup port corresponding to the scheduled pickup time period.

4. The method according to claim 2, characterized in that The step of dynamically allocating the target courier to the courier preparation warehouse closest to the optimal pickup port includes: Scan the label of the target courier to obtain package identification data; Collect the inventory status of each express reserve warehouse in the unmanned express station in real time, and match the candidate express reserve warehouse that meets the requirements according to the package identification data; According to the location of the optimal pickup port, select the candidate express pre-storage warehouse closest to the optimal pickup port as the target express pre-storage warehouse; Transport the target express to the target express preparation warehouse.

5. The method according to claim 2, characterized in that After the step of predicting the optimal pickup port corresponding to the scheduled pickup time period according to the preset pickup port prediction model, the following steps are included: If the target courier has not yet arrived at the unmanned courier station, the optimal pickup port is used as the courier's storage port; When it is detected that the courier's storage port has received the target express, the target express is transported to the express preparation warehouse.

6. The method according to claim 4, characterized in that The step of transporting the target express to the target express pre-warehouse includes: The millimeter-wave radar is used to detect the length of time that the customer stays at the pickup port, and the guidance protocol is triggered when the length of time exceeds a preset threshold; Activate the light and voice equipment of the pickup cabinet door and play the preset guidance information corresponding to the guidance protocol.

7. An unmanned express station pickup device, characterized in that: The device comprises: A collection module, used to collect customer identity information in the unmanned express delivery station and verify whether the customer identity information corresponds to a reservation pickup request; A transmission module is used to transmit the target courier corresponding to the appointment pickup request to the optimal pickup port if the appointment pickup request exists in the customer identity information, wherein the optimal pickup port is predicted by a preset pickup port prediction model based on the appointment pickup request.

8. An unmanned express station pickup device, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the unmanned courier station pickup method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the unmanned express station pickup method as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the unmanned courier station pickup method as described in any one of claims 1 to 6 are implemented.

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