Intelligent sorting method, device and equipment for express packages and storage medium

Abstract

The present application relates to the technical field of automation control, and especially relates to a smart sorting method, device and equipment for express packages and a storage medium, the method comprising: obtaining package information of an express package; determining a sorting bag position corresponding to the express package and an optimal path to the sorting bag position based on the package information of the express package; distributing the express package into a sorting bag based on the optimal path; monitoring a storage state of the sorting bag in real time, and when the storage state is a full state, re-planning a distribution path for the express package; and distributing the express package into another unfull sorting bag based on the re-planned distribution path, thereby effectively solving the problem that a sorting bag needs to be manually replaced when it is full in the prior art, achieving full automation of the sorting process, improving the efficiency and accuracy of package sorting, and reducing the input of manual operation and possible errors.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, and in particular to an intelligent sorting method, apparatus, equipment, and storage medium for express parcels. Background Technology

[0002] In the modern logistics industry, parcel sorting is one of the key links in the entire delivery process. With the rapid development of e-commerce, the volume of parcels handled has exploded, and the requirements for sorting efficiency and accuracy have increased accordingly. Currently, many express delivery companies use automated sorting systems for parcel sorting. These systems typically include conveyor belts, scanning equipment, sorting robots, and sorting bags. However, when the sorting bags reach full capacity, manual replacement is often required. This manual intervention not only increases labor intensity but also causes temporary pauses in the sorting system during the replacement process, thus affecting overall sorting efficiency.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide an intelligent sorting method, apparatus, equipment, and storage medium for express parcels, aiming to solve the technical problem of low sorting efficiency caused by the need for manual replacement of sorting bags when they are full in existing express parcel sorting methods.

[0005] To achieve the above objectives, the present invention provides an intelligent sorting method for express parcels, the method comprising:

[0006] Obtain package information for express parcels;

[0007] Based on the package information of the express parcel, determine the location of the sorting bag corresponding to the express parcel and the optimal path to reach the sorting bag location;

[0008] The express parcels are allocated to sorting bags based on the optimal path;

[0009] The storage status of the sorting bag is monitored in real time, and when the storage status is full, the distribution path of the express parcel is replanned.

[0010] The replanned distribution routes will be used to allocate the parcels to other unfilled sorting bags.

[0011] Optionally, determining the location of the sorting bag corresponding to the express package and the optimal path to the sorting bag location based on the package information of the express package includes:

[0012] The current location, destination, size, weight, and priority of the express parcel are determined based on the parcel information.

[0013] The location of the sorting bag corresponding to the express package is determined based on the current location, destination, size, weight, and priority of the express package.

[0014] Based on the current location of the express package, the location of the sorting bag, the intersection point between the current location of the express package and the location of the sorting bag, and the sorting channel, the optimal path to the location of the sorting bag is determined using the A* algorithm.

[0015] Optionally, determining the location of the sorting bag corresponding to the express package based on its current location, destination, size, weight, and priority includes:

[0016] Preliminary zoning and filtering of sorting bag locations are performed based on the current location and destination of the express parcel;

[0017] Based on the size of the express parcel, select sorting bags that can accommodate the express parcel;

[0018] Based on the weight of the express parcel, sorting bags capable of carrying the parcel are selected;

[0019] Based on the priority of the express parcels, sorting bags that meet the priority requirements are selected;

[0020] The location of the sorting bag corresponding to the express package is determined based on the sorting bag location after preliminary zoning screening, the sorting bag that can accommodate the express package, the sorting bag that can carry the express package, and the sorting bag that meets the priority requirements.

[0021] Optionally, the real-time monitoring of the storage status of the sorting bag, and when the storage status is full, replanning the distribution route of the express parcel, includes:

[0022] The storage status of the sorting bags is monitored in real time by sensors installed at each sorting bag.

[0023] The storage capacity corresponding to the detected storage status information is compared with the preset storage capacity threshold.

[0024] When the storage capacity is greater than the preset storage capacity threshold, the storage status is determined to be full, and the distribution path of the express parcel is replanned.

[0025] Optionally, the replanning of the distribution route for the express parcel includes:

[0026] The location of unfilled sorting bags is updated in real time based on the storage status of the sorting bags;

[0027] The dynamic path planning algorithm is used to determine the allocation path of multiple express parcels based on the current parcel location and the location of the unfilled sorting bag, and the total cost of the allocation path of each express parcel is calculated. The total cost includes the actual movement distance of the express parcel and a heuristic estimate.

[0028] The route with the lowest total cost is selected as the replanned distribution route for the express parcels.

[0029] Optionally, the step of allocating the express parcel to the sorting bag based on the optimal path includes:

[0030] Based on the optimal path, a robotic arm or conveyor belt is instructed to transport the express package.

[0031] During transportation, the movement of the express parcels is monitored in real time by sensors or cameras to ensure that the parcels are assigned to sorting bags.

[0032] Optionally, the real-time monitoring of the storage status of the sorting bag, after the storage status is full, further includes:

[0033] An alarm notification is generated, which may include sending a notification to relevant personnel via an audible and visual alarm, SMS, or email.

[0034] Furthermore, to achieve the above objectives, the present invention also provides an intelligent sorting device for express parcels, the intelligent sorting device for express parcels comprising:

[0035] The information acquisition module is used to acquire package information for express parcels;

[0036] The path planning module is used to determine the location of the sorting bag corresponding to the express package and the optimal path to the sorting bag location based on the package information of the express package.

[0037] A parcel allocation module is used to allocate the express parcels to sorting bags based on the optimal path.

[0038] The replanning module is used to monitor the storage status of the sorting bag in real time, and replan the distribution path of the express parcel when the storage status is full.

[0039] A reallocation module is used to allocate the express parcels to other unfilled sorting bags based on a replanned allocation path.

[0040] In addition, to achieve the above objectives, the present invention also provides an intelligent sorting device for express parcels, the device comprising: a memory, a processor, and an intelligent sorting program for express parcels stored in the memory and executable on the processor, the intelligent sorting program for express parcels being configured to implement the steps of the intelligent sorting method for express parcels as described in any of the above claims.

[0041] In addition, to achieve the above objectives, the present invention also provides a storage medium storing an intelligent sorting program for express parcels, wherein when the intelligent sorting program for express parcels is executed by a processor, it implements the steps of the intelligent sorting method for express parcels as described in any of the above claims.

[0042] This invention provides an intelligent sorting method for express parcels. The method includes: acquiring parcel information; determining the location of the sorting bag corresponding to the parcel and the optimal path to the sorting bag based on the parcel information; allocating the parcel to the sorting bag based on the optimal path; monitoring the storage status of the sorting bag in real time, and replanning the allocation path of the parcel when the storage status is full; and allocating the parcel to other unfulfilled sorting bags based on the replanned allocation path. This effectively solves the problem of manual replacement of sorting bags when they are full in the prior art, realizes full automation of the sorting process, improves the efficiency and accuracy of parcel sorting, and reduces the input of manual operation and possible errors. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the structure of an intelligent sorting device for express parcels in the hardware operating environment involved in the embodiments of the present invention;

[0044] Figure 2 This is a flowchart illustrating the first embodiment of the intelligent sorting method for express parcels according to the present invention.

[0045] Figure 3 This is a flowchart illustrating the second embodiment of the intelligent sorting method for express parcels according to the present invention.

[0046] Figure 4 This is a flowchart illustrating the third embodiment of the intelligent sorting method for express parcels of the present invention.

[0047] Figure 5 This is a structural block diagram of the first embodiment of the intelligent sorting device for express parcels of the present invention.

[0048] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0049] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0050] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of an intelligent sorting device for express parcels in the hardware operating environment of an embodiment of the present invention.

[0051] like Figure 1 As shown, the intelligent sorting equipment for express parcels may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen, and optionally, it may also include a standard wired interface or a wireless interface. In this invention, the wired interface of the user interface 1003 may be a USB interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a non-volatile memory (NVM), such as a disk storage device. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on intelligent sorting equipment for express parcels and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0053] like Figure 1 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an intelligent sorting program for express parcels.

[0054] exist Figure 1 In the intelligent sorting equipment for express parcels shown, the network interface 1004 is mainly used to connect to the backend server and communicate with the backend server; the user interface 1003 is mainly used to connect to peripherals; the intelligent sorting equipment for express parcels calls the intelligent sorting program for express parcels stored in the memory 1005 through the processor 1001 and executes the intelligent sorting method for express parcels provided in this embodiment of the invention.

[0055] Based on the above hardware structure, an embodiment of the intelligent sorting method for express parcels of the present invention is proposed.

[0056] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the intelligent sorting method for express parcels of the present invention, which presents the first embodiment of the intelligent sorting method for express parcels of the present invention.

[0057] In the first embodiment, the intelligent sorting method for express parcels includes the following steps:

[0058] S10: Obtain package information for express parcels.

[0059] It should be noted that the executing entity of this embodiment can be a comprehensive automated sorting system that can realize data acquisition and processing, path planning and control, conveying and sorting, and storage status monitoring functions, or other electronic devices that can realize the above functions. This embodiment does not limit this.

[0060] It should be noted that parcel information refers to a series of detailed information related to the parcel. This information helps in the identification, processing, and tracking of the parcel, and provides necessary data for intelligent sorting. Specifically, parcel information may include parcel ID, sender information, recipient information, destination information, parcel weight and dimensions, and a description of the parcel contents.

[0061] In practical implementation, barcode or QR code labels can be affixed to the surface of the package. Scanners read these labels to obtain the package's unique identifier and other relevant information (such as package ID, sender information, recipient information, etc.). This method is simple to operate, fast, and accurate. Alternatively, RFID tags can be pre-attached or embedded in the package. Readers use radio waves to read the information within the tags to obtain detailed package data. This method does not require explicit line-of-sight, the tags are reusable, the reading speed is fast, and multiple tags can be read in batches. Another option is to use a camera to photograph the text information (such as address, postal code, etc.) on the package label and use OCR technology to convert the image into machine-readable text. This method is suitable for packages without barcodes or RFID tags and can directly identify information such as addresses.

[0062] S20: Determine the location of the sorting bag corresponding to the express parcel and the optimal path to the sorting bag location based on the parcel information.

[0063] It should be noted that the sorting bag location corresponding to a parcel refers to the specific sorting bag to which the parcel needs to be placed or transported after being identified in the automated sorting system. The optimal path to the sorting bag location refers to the best path taken by the parcel from its identification to its final sorting bag location in the automated sorting system. A sorting bag is a container used to collect and store parcels with the same or similar destinations.

[0064] In practice, path planning algorithms (such as Dijkstra's algorithm or A* algorithm) are used to calculate the optimal path. The central control system makes sorting decisions based on real-time environmental data (such as the current conveyor belt status and sorting bag occupancy). Databases or real-time data streams are used to manage and update the status and occupancy of sorting bags.

[0065] S30: Based on the optimal path, the express parcel is allocated to the sorting bag.

[0066] It's important to note that allocation refers to placing packages into appropriate sorting bags according to a predetermined path and algorithm results. Specifically, conveyor belts, sorting robots, or robotic arms are used to move packages to the target sorting bags along calculated paths. The central control system directs these conveyor devices to perform package movement tasks in real time, ensuring that allocation is completed as planned.

[0067] S40: Monitor the storage status of the sorting bag in real time, and when the storage status is full, replan the distribution path of the express parcel.

[0068] It should be noted that real-time monitoring refers to the continuous collection and analysis of sorting bag status data so as to react immediately to changes in status. Storage status refers to the current capacity of the sorting bag, such as free, partially full, or fully loaded. A fully loaded status means the sorting bag is completely full and cannot hold any more packages.

[0069] In practice, weight or capacity sensors are installed inside the sorting bags to monitor their contents in real time. When the sensor detects that the sorting bag is full, it issues an alarm signal. Upon receiving the alarm, the central control system recalculates the package path and allocates it to other unloaded sorting bags.

[0070] S50: Based on the replanned distribution route, the express parcel is distributed to other unfilled sorting bags.

[0071] It should be noted that the recalculated allocation path refers to the alternative path recalculated by the system after the original path becomes invalid due to the sorting bags being full. Unfulfilled sorting bags refer to those that have not yet reached their maximum storage capacity.

[0072] In practice, the central control system uses real-time data updates and dynamic adjustment algorithms to generate new optimal paths. The conveyor system then directs conveyor belts, sorting robots, and other hardware to redirect packages to new sorting bag locations.

[0073] This embodiment provides an intelligent sorting method for express parcels. The method includes: acquiring parcel information; determining the location of the sorting bag corresponding to the parcel and the optimal path to the sorting bag based on the parcel information; allocating the parcel to the sorting bag based on the optimal path; monitoring the storage status of the sorting bag in real time, and replanning the allocation path of the parcel when the storage status is full; and allocating the parcel to other unfulfilled sorting bags based on the replanned allocation path. This effectively solves the problem of manual replacement of sorting bags when they are full in the prior art, realizes full automation of the sorting process, improves the efficiency and accuracy of parcel sorting, and reduces the input of manual operation and possible errors.

[0074] Reference Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of the intelligent sorting method for express parcels according to the present invention. In the second embodiment, determining the location of the sorting bag corresponding to the express parcel and the optimal path to the location of the sorting bag based on the parcel information includes:

[0075] S201: Determine the current location, destination, size, weight, and priority of the express parcel based on the parcel information.

[0076] It's important to note that "express parcel" refers to the transported items, including various types of packages. Parcel information refers to detailed attributes of the parcel, such as location, destination, dimensions, weight, and priority. Current location refers to the parcel's current physical location within the sorting center. Destination refers to the parcel's final destination or area. Dimensions refer to the parcel's physical size, including length, width, and height. Weight refers to the parcel's weight. Priority refers to the parcel's importance level, which may be based on delivery time, customer category, etc.

[0077] In practice, barcode scanners, RFID readers, and OCR cameras are used to collect package information. A central information processing system analyzes and records the current location, destination, size, weight, and priority of each package. This accurate collection and analysis of package information ensures the accuracy of subsequent processing and sorting. Automated information reading and processing reduce manual operations and improve system efficiency.

[0078] S202: Determine the location of the sorting bag corresponding to the express package based on the current location, destination, size, weight and priority of the express package.

[0079] It should be noted that the location of a sorting bag refers to the physical location of a specific sorting bag within the sorting center. Sorting bags are used to collect packages with the same or similar addresses.

[0080] In practice, the target sorting bag is determined based on the package's destination. For example, packages from the same city or region may be assigned to the same sorting bag. Package size and weight are considered to ensure the sorting bag is not overloaded. High-priority packages are given priority allocation within available sorting bags to ensure rapid processing. This rational allocation of sorting bag resources avoids overloading or resource waste. The sorting strategy is adjusted based on priority to ensure the rapid processing of high-priority packages.

[0081] S203: Based on the current location of the express package, the location of the sorting bag, the intersection point between the current location of the express package and the location of the sorting bag, and the sorting channel, the optimal path to the location of the sorting bag is determined using the A* algorithm.

[0082] It should be noted that the boundary point refers to a key node or transfer point that may be involved in the path of a package from its current location to the sorting bag location. The sorting channel refers to the path or conveyor system through which packages move within the sorting center. The A* algorithm is a graph search algorithm used for path planning that finds the shortest path from the starting point to the destination in a graph.

[0083] In the implementation, a graph model is established, including sorting nodes, intersections, and sorting channels. The A* algorithm is used to calculate the optimal path from the current location of the package to the location of the sorting bag, considering the actual distance and transit cost of each path node. The path planning is dynamically adjusted based on real-time data (such as path congestion or equipment status).

[0084] It should be understood that the A* algorithm can find the optimal path in terms of both time and distance, improving package sorting efficiency. The system adjusts the path in real time, enabling it to quickly respond to various emergencies and maintain efficient system operation.

[0085] Further, in this embodiment, determining the location of the sorting bag corresponding to the express package based on its current location, destination, size, weight, and priority includes:

[0086] Preliminary zoning and filtering of sorting bag locations are performed based on the current location and destination of the express parcel.

[0087] It should be noted that "current location" refers to the current position of the package within the sorting center. "Destination" refers to the final destination of the package. "Sorting bag location" refers to the physical location of a specific sorting bag within the sorting center. "Preliminary zoning and screening" refers to the initial selection of sorting bags based on simple criteria (such as geographical area, logistics route, etc.).

[0088] In the implementation, the sorting center is divided into multiple zones, each corresponding to a specific destination area. Based on the package's destination, the location of the sorting bag within the corresponding zone is matched. Rules are defined to partition the area based on different cities, districts, and even neighborhoods, and target sorting bags are grouped according to these rules. This quickly narrows down the range of available sorting bags, improving sorting speed. After roughly determining the zones, the accuracy of subsequent screening and allocation is improved.

[0089] Based on the size of the express parcel, select sorting bags that can accommodate the express parcel;

[0090] It should be noted that "size" refers to the physical dimensions of the package, such as length, width, and height. "Capacity" refers to the sorting bag's ability to hold the package.

[0091] In practice, sensors or scanning devices are used to acquire package size data. The system automatically calculates whether the current available space in the sorting bags can accommodate a new package. Based on the calculation results, sorting bags that can accommodate the current package are selected. This ensures optimal utilization of space within each sorting bag, avoiding waste. It also prevents oversized packages from squeezing or clogging the sorting bags, improving sorting efficiency.

[0092] The sorting bags that can hold the express parcels are selected based on their weight.

[0093] It should be noted that weight refers to the actual mass of the package. Load capacity refers to the weight-bearing capacity of the sorting bag.

[0094] In practice, weighing equipment is used to obtain the weight data of the packages. The system calculates the current weight of the sorting bags and the total weight after adding the new package. Based on the carrying capacity of the sorting bags, sorting bags that can carry the new package are selected, thereby preventing overloading of the sorting bags, ensuring operational safety, avoiding damage to the sorting equipment and sorting bags caused by overloading, and extending the service life of the equipment.

[0095] Based on the priority of the express parcels, sorting bags that meet the priority requirements are selected;

[0096] It should be noted that priority refers to the importance level of a package, usually categorized based on delivery time and customer needs. Priority requirements refer to the matching criteria for package priority in sorting bags.

[0097] In practice: based on the package information, the system classifies packages into high, medium, and low priorities.

[0098] The system rules define which sorting bags are suitable for storing high-priority or specific-level packages. Among the sorting bags that meet the weight and volume requirements, those that meet the priority requirements are further screened out, thus enabling high-priority packages to be processed first, ensuring on-time delivery, and ultimately improving customer satisfaction. Service experience is optimized through priority management.

[0099] The location of the sorting bag corresponding to the express package is determined based on the sorting bag location after preliminary zoning screening, the sorting bag that can accommodate the express package, the sorting bag that can carry the express package, and the sorting bag that meets the priority requirements.

[0100] It should be noted that the sorting bag locations after initial zoning and screening refer to the sorting bag range divided according to the package destination. Sorting bags capable of accommodating the express package refer to those selected that meet the package size requirements. Sorting bags capable of carrying the express package refer to those selected that have a load-bearing capacity that meets the package weight requirements. Sorting bags meeting priority requirements refer to those that meet the package priority requirements.

[0101] In the implementation, the above screening results are intersected to determine the final sorting bag location that meets all conditions. Based on real-time data, such as the status of packages already inside the sorting bags, the sorting bag allocation is dynamically adjusted. An automated system directs packages to the final determined sorting bag location, thus comprehensively considering multiple factors (location, size, weight, priority) to ensure the selection of the most suitable sorting bag, reducing redundant operations in the screening process, improving overall sorting efficiency, and ensuring correct package allocation and reducing the error rate through rigorous screening and cross-validation.

[0102] Furthermore, in this embodiment, the step of allocating the express parcel to the sorting bag based on the optimal path includes:

[0103] The optimal path is used to instruct a robotic arm or conveyor belt to transport the express package.

[0104] It's important to clarify that "optimal path" refers to the best transportation route from the package's current location to the sorting bag location, determined using a path planning algorithm, such as the A* algorithm. "Robotic arm" refers to an automated robotic arm used for picking up and placing packages. "Conveyor belt" refers to an automated conveyor system used for transporting packages along a fixed trajectory. "Transportation" refers to the process of moving a package from its current location to its target sorting bag location.

[0105] In practical implementation, a path planning algorithm (such as the A* algorithm) is used to calculate the optimal path from the current location of the package to the target sorting bag. Based on the optimal path, the system generates the action plan and specific transportation instructions for the robotic arm or conveyor belt. The robotic arm accurately picks up the package according to the instructions and moves along the optimal path to the target sorting bag; the conveyor belt dynamically adjusts its transportation speed and path to ensure that the package is transported along the optimal path.

[0106] It should be understood that optimal routing ensures packages are delivered to their destination in the fastest and most economical way. The use of robotic arms and conveyor belts reduces human intervention, improving the system's automation level and operational efficiency. Precise routing and motion commands reduce errors and damage during package transportation. During delivery, the movement of the express packages is monitored in real time via sensors or cameras, ensuring that the packages are properly assigned to sorting bags.

[0107] It's important to clarify that sensors refer to electronic devices used to detect information such as the package's position, speed, and weight, such as infrared sensors and ultrasonic sensors. Cameras refer to devices used for video surveillance, monitoring the package's movement through image data. Real-time monitoring refers to the real-time acquisition and processing of the package's status data during its movement, allowing for dynamic adjustments and corrections. Movement status refers to the package's position, speed, and other status information during transportation.

[0108] In practice, multiple sensors are deployed at key points along the path, on the conveyor belt, and on the robotic arm to monitor the package status in real time. High-resolution cameras are installed to capture real-time video streams of package movement. A data acquisition and processing system analyzes the status data provided by the sensors and cameras in real time. If a package is detected to have deviated from the predetermined path or exhibited abnormalities, the system immediately issues adjustment commands to correct the movements of the robotic arm or conveyor belt.

[0109] It should be understood that real-time monitoring ensures packages move along planned routes, preventing misdelivery or loss. By monitoring for anomalies, timely adjustments and corrections are made to avoid package damage. Continuous monitoring and correction of the transportation process ensures the stability and reliability of the entire sorting process.

[0110] Furthermore, in this embodiment, the real-time monitoring of the storage status of the sorting bag, after the storage status is full, further includes:

[0111] An alarm notification is generated, which may include sending a notification to relevant personnel via an audible and visual alarm, SMS, or email.

[0112] It should be noted that an alarm notification refers to sending alert information about the current status or event to relevant personnel. An audible and visual alarm is an alarm device that transmits an alarm by emitting sound and flashing lights. A text message (SMS) refers to a short message service sent via mobile communication networks, delivering text information to the recipient's mobile phone. An email refers to an electronic letter sent via an internet mail system, containing detailed notification information. Relevant personnel refer to staff or managers who need to receive and process alarm information promptly.

[0113] In practical implementation, sensors or internal system status monitoring modules are used to monitor the usage of storage devices or areas in real time. Storage data is processed and analyzed; when a storage device reaches or exceeds its preset maximum capacity, it is considered full. Upon confirmation of fullness, the system automatically generates a detailed alarm notification, including current time, device location, and storage status. Alarm notification content is customized to varying levels of detail based on the specific circumstances of the event. Audible and visual alarms are installed at key locations within the storage area. After fullness is confirmed, the system controls the alarms to emit a loud sound and flashing light to attract the attention of on-site personnel. The alarm duration and repetition frequency are set to ensure the alarm is clearly noticeable. System integration with third-party SMS service platforms (such as telecommunications operators) is performed. The SMS text is formatted according to the alarm notification content, presenting the alarm information in a concise and clear manner. An SMS sending interface is invoked to send SMS alerts to preset relevant personnel's mobile phone numbers. SMTP and other mail servers are configured to ensure the system can send emails. The alarm notification content, including detailed information and possible attachments, is generated into an email. Send emails to relevant individuals via a mail server and save sending logs for tracking purposes.

[0114] Reference Figure 4 , Figure 4 This is a flowchart illustrating a third embodiment of the intelligent sorting method for express parcels according to the present invention. In this third embodiment, the real-time monitoring of the storage status of the sorting bag, and when the storage status is full, replanning the distribution path of the express parcel, includes:

[0115] S401: The storage status of the sorting bags is detected in real time by sensors installed at each sorting bag.

[0116] It should be noted that sorting bags refer to bags used to store sorted parcels or items, typically a flexible container. Sensors are devices used to detect physical quantities (such as weight, volume, etc.) and convert them into readable data signals. Storage status refers to the current capacity utilization of the sorting bag, including the quantity or weight of items currently stored. Real-time monitoring refers to continuously monitoring and acquiring current status information.

[0117] In practical implementation, weight sensors or other types of capacity sensors, such as ultrasonic sensors or infrared sensors, are installed at the bottom of the sorting bag or other suitable locations. The sensors are connected to the main control system via wired or wireless means to ensure real-time data transmission. The sensors continuously collect data on the weight or quantity of items in the sorting bag and transmit the data to the central monitoring system. The system receives and processes this data in real time, converting it into information on the current storage status of the sorting bag. The central monitoring system continuously receives real-time data from multiple sensors, compares the current storage status of each sorting bag, and thus obtains the real-time storage status of each sorting bag, ensuring the timeliness and accuracy of the monitoring data. It can issue alarms or take action in advance before the sorting bag approaches its capacity limit, avoiding operational errors.

[0118] S402: Compare the storage capacity corresponding to the detected storage status information with the preset storage capacity threshold.

[0119] It should be noted that storage capacity refers to the total capacity of items that a sorting bag can hold, usually expressed as weight or volume. A preset storage capacity threshold refers to a pre-set upper limit for capacity; when the actual capacity reaches or exceeds this threshold, action needs to be taken.

[0120] In practical implementation, a reasonable storage capacity threshold is pre-set based on the actual capacity and operational requirements of each sorting bag. This threshold can be adjusted and configured according to actual conditions to adapt to different operating conditions. Real-time detected storage status information (e.g., current weight or quantity of items) is compared with the preset storage capacity threshold. A simple algorithm determines whether the current storage status exceeds the preset capacity threshold. If the current storage capacity exceeds the preset threshold, the system marks it as "full"; otherwise, monitoring continues. By comparing the current capacity with the preset threshold, timely action is determined to prevent overflow or overload issues. The threshold is adjusted based on actual usage to optimize sorting operations and improve warehousing and sorting efficiency.

[0121] S403: When the storage capacity is greater than the preset storage capacity threshold, determine that the storage status is full and replan the distribution path of the express parcel.

[0122] It should be noted that "full" refers to a storage capacity that has reached or exceeded a preset threshold, indicating that the current container is full. "Replanning" refers to reallocating paths or resources based on current conditions to optimize the process. The parcel distribution path refers to the route taken to deliver a parcel from one processing stage to another destination or storage location.

[0123] In its implementation, when the system detects that the storage capacity exceeds a preset threshold, it automatically marks the sorting bag as "full." The system triggers the corresponding processing flow and records this status change. An alarm notification is issued, such as via audible and visual alarms, SMS, or email, informing relevant personnel that the sorting bag is full. Real-time notifications help relevant personnel take swift action. The system automatically calculates and plans to reassign subsequent parcels to other sorting bags or processing routes that are not yet full. Algorithms are used to optimize the allocation strategy, considering factors such as parcel classification, destination, and the current status of the sorting bag. The replanned route or allocation information is communicated to the operator, and the sorting instructions are updated in the system. The operator adjusts the sorting operation according to the new instructions to ensure that parcels are transported and stored along the new routes.

[0124] It should be understood that timely route replanning is crucial to prevent sorting bag overload and avoid equipment malfunctions or damage due to excessive storage. Dynamically adjusting sorting routes improves resource utilization, achieves balanced allocation, and enhances sorting efficiency. Real-time route replanning reduces manual intervention and processing time, improving the smoothness and stability of the entire sorting system.

[0125] Furthermore, in this embodiment, the replanning of the distribution route for the express parcel includes:

[0126] The location of unfilled sorting bags is updated in real time based on the storage status of the sorting bags.

[0127] It should be noted that "not full sorting bags" refers to sorting bags whose current storage capacity has not reached the preset upper limit threshold; these bags still have remaining capacity to receive more packages. Storage status refers to the current capacity usage of the sorting bags, including the quantity or weight of items already stored. Real-time updates mean continuously updating information based on the latest data to ensure the timeliness and accuracy of the data.

[0128] In its implementation, sensors installed at the sorting bags continuously monitor their capacity. Real-time data on the storage status of the sorting bags is collected and transmitted to the central control system. The system analyzes the current storage capacity of each sorting bag and compares it with a preset threshold to determine which bags are not full. The location information of these unfulfilled bags is stored in a database and updated periodically. Whenever the capacity status of a sorting bag changes (e.g., a new package is added or a package is removed), the system updates the location data of the unfulfilled bags. This ensures that the location data reflects the current situation, avoiding operational errors caused by outdated information. It ensures that the operating system always has the latest locations of unfulfilled sorting bags, contributing to accurate and efficient package allocation. Real-time updates of location data prevent some sorting bags from being overloaded or idle due to uneven load distribution, improving resource utilization efficiency.

[0129] A dynamic path planning algorithm is used to determine the allocation path of multiple express parcels based on the current parcel location and the location of the unfilled sorting bag. The total cost of the allocation path of each express parcel is calculated, and the total cost includes the actual movement distance of the express parcel and a heuristic estimate.

[0130] The route with the lowest total cost is selected as the replanned distribution route for the express parcels.

[0131] It's important to note that for each parcel, the system considers its current location and the locations of all unfilled sorting bags. A dynamic path planning algorithm (such as the improved A* algorithm) is used to calculate multiple possible paths for each parcel. For each possible path, its total cost is calculated. The total cost consists of two parts: (a) the actual distance traveled: the actual path length from the parcel's current location to the target sorting bag; and (b) a heuristic estimate: an estimate of potential future additional costs considering the current state of the sorting bags (e.g., remaining capacity, expected filling rate, etc.). This process takes into account changes in the sorting environment in real time, such as updates to sorting bag status and channel congestion. By considering both actual distance and heuristic estimates, the algorithm strikes a balance between current optimality and long-term benefits. Real-time response to environmental changes ensures that path planning is always based on the latest information. Heuristic estimates can predict potential future congestion or inefficiencies, aiding in more informed decision-making. The path with the lowest total cost is selected as the final allocation path. If the environment changes significantly (e.g., a sorting bag suddenly becomes full), the system triggers a replanning process. During execution, the system will continuously monitor and evaluate the effectiveness of the current path and make adjustments as necessary.

[0132] Furthermore, this embodiment of the invention also proposes a storage medium storing an intelligent sorting program for express parcels. When the intelligent sorting program for express parcels is executed by a processor, it implements the steps of the intelligent sorting method for express parcels as described above.

[0133] In addition, refer to Figure 5 This invention also proposes an intelligent sorting device for express parcels, the intelligent sorting device for express parcels comprising:

[0134] Information acquisition module 10 is used to acquire package information of express parcels;

[0135] The path planning module 20 is used to determine the location of the sorting bag corresponding to the express parcel and the optimal path to the sorting bag location based on the parcel information of the express parcel.

[0136] The parcel distribution module 30 is used to distribute the express parcels into sorting bags based on the optimal path.

[0137] The replanning module 40 is used to monitor the storage status of the sorting bag in real time, and replan the distribution path of the express parcel when the storage status is full.

[0138] The reallocation module 50 is used to allocate the express parcels to other unfilled sorting bags based on the replanned allocation path.

[0139] Other embodiments or specific implementations of the intelligent sorting device for express parcels described in this invention can be found in the above-described method embodiments, and will not be repeated here.

[0140] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0141] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. In the unit claims listing several devices, several of these devices may be embodied by the same hardware item. The use of the terms first, second, and third, etc., does not indicate any order and can be interpreted as names.

[0142] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as a read-only memory image (ROM) / random access memory (RAM), magnetic disk, optical disk), and includes several instructions to cause a terminal user device (which may be a mobile phone, computer, server, air conditioner, or network user device, etc.) to execute the methods described in the various embodiments of the present invention.

[0143] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. An intelligent sorting method for express parcels, characterized in that, The method includes: Obtain package information for express parcels; Based on the package information of the express parcel, determine the location of the sorting bag corresponding to the express parcel and the optimal path to reach the sorting bag location; The express parcels are allocated to sorting bags based on the optimal path; The storage status of the sorting bag is monitored in real time, and when the storage status is full, the distribution path of the express parcel is replanned. The parcels are then distributed to other unfilled sorting bags based on the replanned distribution routes. The step of determining the location of the sorting bag corresponding to the express package and the optimal path to the sorting bag location based on the package information of the express package includes: The current location, destination, size, weight, and priority of the express parcel are determined based on the parcel information. The location of the sorting bag corresponding to the express package is determined based on the current location, destination, size, weight, and priority of the express package. Based on the current location of the express package, the location of the sorting bag, the intersection between the current location of the express package and the location of the sorting bag, and the sorting channel, the optimal path to the location of the sorting bag is determined using the A* algorithm. Determining the location of the sorting bag corresponding to the express package based on its current location, destination, size, weight, and priority includes: Preliminary zoning and filtering of sorting bag locations are performed based on the current location and destination of the express parcel; Based on the size of the express parcel, select sorting bags that can accommodate the express parcel; Based on the weight of the express parcel, sorting bags capable of carrying the parcel are selected; Based on the priority of the express parcels, sorting bags that meet the priority requirements are selected; The location of the sorting bag corresponding to the express package is determined based on the sorting bag location after preliminary zoning screening, the sorting bag that can accommodate the express package, the sorting bag that can carry the express package, and the sorting bag that meets the priority requirements. The real-time monitoring of the storage status of the sorting bags, and when the storage status is full, the replanning of the distribution path for the express parcels, includes: The storage status of the sorting bags is monitored in real time by sensors installed at each sorting bag. The storage capacity corresponding to the detected storage status information is compared with the preset storage capacity threshold. When the storage capacity is greater than the preset storage capacity threshold, the storage status is determined to be full, and the distribution path of the express parcel is replanned. The replanning of the distribution route for the express parcels includes: The location of unfilled sorting bags is updated in real time based on the storage status of the sorting bags; The dynamic path planning algorithm is used to determine the allocation path of multiple express parcels based on the current parcel location and the location of the unfilled sorting bag, and the total cost of the allocation path of each express parcel is calculated. The total cost includes the actual movement distance of the express parcel and a heuristic estimate. The route with the lowest total cost is selected as the replanned distribution route for the express parcels.

2. The intelligent sorting method for express parcels as described in claim 1, characterized in that, The process of allocating the express parcels to sorting bags based on the optimal path includes: Based on the optimal path, a robotic arm or conveyor belt is instructed to transport the express package. During transportation, the movement of the express parcels is monitored in real time by sensors or cameras to ensure that the parcels are assigned to sorting bags.

3. The intelligent sorting method for express parcels as described in claim 1, characterized in that, The real-time monitoring of the storage status of the sorting bag, after the storage status is full, further includes: An alarm notification is generated, which may include sending a notification to relevant personnel via an audible and visual alarm, SMS, or email.

4. An intelligent sorting device for express parcels, characterized in that, The steps of the intelligent sorting method for express parcels according to any one of claims 1 to 3, wherein the intelligent sorting device for express parcels comprises: The information acquisition module is used to acquire package information for express parcels; The path planning module is used to determine the location of the sorting bag corresponding to the express package and the optimal path to the sorting bag location based on the package information of the express package. A parcel allocation module is used to allocate the express parcels to sorting bags based on the optimal path. The replanning module is used to monitor the storage status of the sorting bag in real time, and replan the distribution path of the express parcel when the storage status is full. A reallocation module is used to allocate the express parcels to other unfilled sorting bags based on a replanned allocation path.

5. An intelligent sorting device for express parcels, characterized in that, The device includes: a memory, a processor, and an intelligent sorting program for express parcels stored in the memory and executable on the processor, the intelligent sorting program for express parcels being configured to implement the steps of the intelligent sorting method for express parcels as described in any one of claims 1 to 3.

6. A storage medium, characterized in that, The storage medium stores an intelligent sorting program for express parcels, and when the intelligent sorting program for express parcels is executed by the processor, it implements the steps of the intelligent sorting method for express parcels as described in any one of claims 1 to 3.

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