Logistics express site operation maintenance optimization method based on RFID and AI

Abstract

The invention provides a logistics express site operation maintenance optimization method based on RFID and AI, and the method comprises the steps: employing an express bill with RFID electronic tags, setting a data storage system and an AI system in a logistics express system, scanning the RFID electronic tags in the express bill in batches through an RFID read-write device, inputting all the scanned data into the logistics express system, and carrying out the operation maintenance optimization of the logistics express site. And the AI system judges whether the receiving address is wrong or incomplete, and plans an optimal delivery path in real time. With the adoption of the system and the method, a large number of stacked express items at a station can be scanned in batches through the RFID read-write device and recorded into the AI system, and a courier at the station does not need to scan the express items one by one, so that the working efficiency of the logistics station is greatly improved; the AI system is high in intelligence and timely finds out defective parcels, so that a courier is prevented from mistakenly delivering wrong parcels, and the time cost of error correction is saved; the AI system plans the optimal delivery path, the optimization degree of the delivery path is improved, and fuel consumption and delivery time are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics express station operation and maintenance, and more particularly to a logistics express station operation and maintenance optimization method based on RFID and AI. BACKGROUND

[0002] With the rapid development of e-commerce, the logistics express industry is facing increasing challenges and opportunities. The traditional logistics express operation method is that first, a large number of express deliveries are sent to fixed stations by the warehouse, and then the station express delivery personnel scan the two-dimensional code on the express delivery one by one to verify whether the number of stations and the number of deliveries are consistent; then according to the address information, the goods are classified and sorted, and the area is divided, and the express delivery is divided to the express delivery personnel responsible for the corresponding area to deliver the goods.

[0003] In the above-mentioned logistics express operation method, the express delivery personnel scans the express delivery one by one, which is inefficient and has high labor cost; in the process of manual sorting, the express delivery may be misclassified due to incorrect or unclear original address on the express delivery, which causes the express delivery personnel responsible for the area to be unable to deliver the goods to the house, and the express delivery personnel has to take the express delivery back to the station, verify the address, and then deliver the goods by the express delivery personnel responsible for the corresponding area; in the process of express delivery, the express delivery personnel often plans the path and delivers the goods according to the experience, which cannot guarantee that the delivery path is the best on the same day. These will cause waste of labor and time, waste of fuel of the delivery vehicle, and increase the logistics cost.

[0004] The logistics express system relied on by the traditional logistics express operation method also has deficiencies in information collection and data analysis, such as timely discovery and processing of problem items, real-time work supervision and efficiency evaluation of express delivery personnel, and scientific evaluation of overall work performance of express delivery personnel. These cannot be achieved in the existing logistics express system, which affects the management efficiency and service quality of logistics companies. SUMMARY

[0005] The technical problem to be solved by the present application is to provide a logistics express station operation and maintenance optimization method based on RFID and AI, which can batch scan a large number of express deliveries at the station and record them in the AI system through the group reading property of the RFID tag; through the intelligence of the AI system, problem items can be found in time to prevent express delivery personnel from making mistakes, save time cost for correction, and at the same time, the delivery progress of the express delivery personnel can be mastered in real time, and the delivery path of the express delivery personnel can be optimized in real time to improve the delivery efficiency.

[0006] The technical solution of the present application is to provide a logistics express station operation and maintenance optimization method based on RFID and AI, comprising: S1. Using a courier bill equipped with an RFID electronic tag, storing the delivery information, receipt information, and item information of the courier in the RFID electronic tag; setting up a data storage system and an AI system in the logistics and express delivery system, wherein the data storage system includes a cargo information database, a recipient information database, and a courier information database, and the AI ​​system is equipped with an address recognition algorithm and a path planning algorithm; initializing an RFID reader / writer for reading RFID electronic tag information; S2. Scan the RFID electronic tag in the express delivery slip with an RFID reader / writer, and enter all the scanned data into the data storage system, including entering the item information into the cargo information database and the recipient information into the recipient information database; S3. The address recognition algorithm is used to determine whether the recipient address in the recipient information is incorrect or incomplete, and to verify it step by step in the order of province, city, district or county, street or township, community or building; if the address is determined to be incorrect or incomplete, an error is reported; if the address is determined to be correct, the next step is performed; S4. The route planning algorithm matches a courier in the courier information database according to the recipient's address and binds the determined courier to the courier for this order; then, all the parcels to be delivered by the courier on that day are coordinated and the optimal delivery route is planned based on the principle of shortest delivery route and giving priority to special shipments; S5. Each time the courier delivers a package to the corresponding delivery address, he / she must use an RFID reader to scan the delivery note of the package. The path planning algorithm plans the optimal delivery path for the remaining packages in real time based on the courier's current location and the delivery address to be delivered.

[0007] Compared with the existing technology, the logistics express station operation and maintenance optimization method based on RFID and AI of the present invention has the following advantages: 1. Express delivery orders equipped with RFID electronic tags are used. RFID readers and writers can read RFID tags in groups. Large numbers of express parcels piled up at the station can be scanned in batches by the RFID reader and writer and entered into the AI ​​system. There is no need for couriers to scan each one individually, which greatly improves the work efficiency of the logistics station. 2. The AI ​​system is highly intelligent. Through address recognition algorithms, it can promptly identify problematic items, preventing couriers from making the wrong delivery, saving time and cost for error correction, ensuring the accuracy and reliability of express delivery, and reducing logistics costs. 3. The AI ​​system's path planning algorithm plans the optimal delivery route, replacing the traditional manual route planning method. This significantly improves the optimization of the delivery route and reduces fuel consumption and delivery time. 4. The RFID reading and writing device used by the courier can be installed in the courier's barcode scanner gun or the courier's work mobile phone, which can easily grasp the courier's real-time delivery progress, help to optimize the courier's delivery route in real time, improve delivery efficiency, and provide real data basis for the scientific management of logistics companies.

[0008] Preferably, in S1, the initialization of the RFID reading and writing device includes setting the working parameters of the RFID reading and writing device, and the working parameters include reading frequency, reading distance and data format; in S1, the data storage system is initialized, including establishing a blank cargo information database, establishing a blank recipient information database, and updating the courier information database. Using this method, each logistics company can set the working parameters of the RFID reading and writing device according to its own conditions, including the scale of the site, the number of deliveries on the day, and the interval time for receiving express parcels from the warehouse; establish a blank cargo information database to facilitate the entry of detailed information of the goods received on the day, including size, weight, cargo type, whether it is a fragile part, whether it is a glass product, whether it is perishable and fresh, etc., to facilitate problem inquiries and also help with subsequent optimal delivery route planning; establish a blank recipient information database to facilitate the entry of detailed information (name, phone number, address) of the recipient of the goods on the day. The establishment of the recipient information database can facilitate the courier to contact the recipient when an address error is reported, obtain the correct delivery address in time, and deliver the goods in time; the courier information database is stored in the database based on the courier's daily work completion situation, and needs to be updated daily for reference during performance appraisal.

[0009] Preferably, in S5, the data storage system also includes a historical recipient information database. The courier scans the delivery slip for the current delivery using an RFID reader / writer and records the delivery method of the successful delivery or the unsuccessful delivery in the historical recipient information database. This method records the current recipient's pickup habits (personal signature or receipt by post station, door, property management, etc.) and the difficulty of successful delivery. This provides a basis for subsequent optimal delivery route planning, helps improve delivery success rates, and also facilitates the handling of addresses similar to the current one but reported as errors.

[0010] Preferably, in S3, the address recognition algorithm determines that the recipient address is incorrect or incomplete. After reporting the error, the courier calls the recipient to verify the information and updates the verified recipient information in the recipient information database. Alternatively, the courier queries the historical recipient information database to see if there is an address similar to the currently reported error address, with the same recipient, and with a successful delivery history. If so, the courier updates the currently reported error address with the retrieved historical address. This method facilitates timely correction of incorrect addresses and avoids affecting delivery timeliness.

[0011] Preferably, in S4 and S5, the path planning algorithm calculates the optimal delivery path, and also combines the historical delivery difficulty data of the current delivery address and the real-time traffic conditions. This method helps to plan the optimal delivery path and improve delivery efficiency and success rate.

[0012] Preferably, in S4 and S5, the path planning algorithm calculates the optimal delivery path, and also combines the historical delivery difficulty data of the current delivery address and the real-time traffic conditions. This method helps to plan the optimal delivery path and improve delivery efficiency and success rate.

[0013] Preferably, in S4 and S5, the path planning algorithm calculates the optimal delivery path, and also combines the historical delivery difficulty data of the current delivery address and the real-time traffic conditions. This method helps to plan the optimal delivery path and improve delivery efficiency and success rate.

[0014] Preferably, in S1, the AI system also has a performance evaluation algorithm; in S5, the RFID reading and writing device is used to scan data in real time, record the delivery quantity, delivery time and unsuccessful delivery of the courier, and transmit it to the logistics express system, and the performance evaluation algorithm calculates the work completion rate and work efficiency of the courier, and performs daily performance evaluation on the courier's work. This method realizes real-time control and dynamic analysis of the courier's work completion, provides a scientific basis for the management of logistics companies, and helps to optimize the delivery strategy.

[0015] Preferably, S6, the AI system summarizes and analyzes the performance evaluation of the courier every day in the month, generates detailed delivery reports and monthly performance evaluation reports, and the performance evaluation indicators include delivery quantity, delivery time, work completion rate and work efficiency. This method helps to establish a scientific courier work evaluation mechanism and provides a reliable performance management means for logistics companies.

[0016] Preferably, in S6, the AI system makes optimization suggestions and improvement plans for the courier according to the delivery report and monthly performance evaluation report of the courier in the last month, including the minimum required delivery quantity, delivery time and work efficiency. This method helps to improve the work efficiency and service quality of the courier. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 Flowchart of the logistics express station operation and maintenance optimization method based on RFID and AI of the present application. DETAILED DESCRIPTION

[0018] For a better understanding of the present application, various aspects of the present application will be described in greater detail below with reference to the accompanying drawings. It is to be understood that the detailed description is merely descriptive in nature and not intended to limit the scope of the present application in any way. Throughout the specification, like reference numerals refer to like elements.

[0019] In the drawings, the thicknesses of the objects, the dimensions and the shapes of the objects have been exaggerated slightly for the sake of explanation. The drawings are merely schematic and not drawn strictly to scale.

[0020] It should also be understood that the terms "comprise", "have", "contain", "contain", when used in the specification, indicate the presence of the stated features, whole, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, whole, steps, operations, elements, components and / or combinations thereof. In addition, when expressions such as "at least one" appear after a list of listed features, they modify the entire list of listed features, rather than modifying individual elements in the list.

[0021] The RFID and AI-based logistics express station operation and maintenance optimization method of the present application comprises the following steps: S1, using an express delivery sheet provided with an RFID electronic tag, storing the delivery information, the receiving information and the information of the goods in the express delivery sheet in the RFID electronic tag; A data storage system and an AI system are provided in the logistics express system, the data storage system comprises a goods information database, a receiver information database and a courier information database, the data storage system further comprises a historical receiver information database, the historical successful delivery mode or the historical unsuccessful delivery of each receiver address is recorded in the historical receiver information database; The data storage system is to be initialized, including establishing a blank goods information database, establishing a blank receiver information database, updating the courier information database and the historical receiver information database; The AI system is provided with an address recognition algorithm, a path planning algorithm and a performance evaluation algorithm; The RFID read-write device for reading the RFID electronic tag information is initialized, including setting the working parameters of the RFID read-write device, the working parameters including reading frequency, reading distance and data format, in the embodiment, the reading frequency is 920MHz, the reading distance is 0-9m, and the data format is ISO / IEC 18000-6; S2, batch scanning the RFID electronic tag in the express delivery sheet with the RFID read-write device, and recording all the scanned data in the data storage system, including recording the information of the goods in the goods information database, and recording the receiving information in the receiver information database; The article information includes size, weight, cargo type, whether it is a fragile item, whether it is a glass product, whether it is a perishable fresh food, and the like, so as to facilitate problem query; The recipient information includes detailed information of the recipient (name, phone number, address, etc.), and the establishment of the recipient information database can facilitate the courier to contact the recipient when the address is reported as an error, so as to obtain the correct delivery address in time and deliver the goods in time; S3, the address recognition algorithm is used to determine whether the address of the recipient in the recipient information is incorrect or incomplete, and is determined in sequence according to province, city, district or county, street or township, and community or building; After the error is reported, the courier verifies the recipient's phone number, and updates the verified recipient information in the recipient information database; or the courier queries the historical recipient information database to query whether there is a similar address, the same recipient, and a successful historical delivery address, if there is, the historical delivery address is used to update the current error address of the recipient; If the address is correct, the next step is performed; S4, the path planning algorithm matches the courier in the courier information database according to the address of the recipient, and binds the determined courier with the current express delivery; then all express deliveries to be delivered by the courier on the same day are planned, and the shortest delivery path, priority delivery of special goods, historical delivery data of the current delivery address, real-time traffic conditions, and the like are combined to adjust the delivery order according to the size of the delivery goods in the same or similar area, and the best delivery path is planned, and the path planning algorithm displays the delivery path through the map module; S5, the courier scans the express delivery sheet of the current delivery by using the RFID read-write device after reaching the corresponding address of the recipient, and records the delivery method of the current successful delivery or the unsuccessful delivery in the historical recipient information database; The path planning algorithm plans the best delivery path according to the current position of the courier, the address of the delivery to be delivered, and the shortest delivery path, priority delivery of special goods, historical delivery data of the current delivery address, real-time traffic conditions, and the like are combined to adjust the delivery order according to the size of the delivery goods in the same or similar area, and the best delivery path is planned, and the path planning algorithm displays the delivery path through the map module.

[0022] The RFID reading and writing device scans data in real time, records the delivery quantity, delivery time and unsuccessful delivery of the courier, and transmits them to the logistics express system, and the performance evaluation algorithm calculates the work completion rate and work efficiency of the courier, and performs daily performance evaluation on the work of the courier on the same day. S6, the AI system analyzes the performance evaluation of the courier every day in the month, generates a detailed delivery report and a monthly performance evaluation report, and the performance evaluation indexes include the delivery quantity, delivery time, work completion rate and work efficiency. The AI system also optimizes the delivery report and the monthly performance evaluation report of the courier according to the delivery report and the monthly performance evaluation report of the courier in the last month, and formulates an improvement plan, including the daily minimum delivery quantity, delivery time and work efficiency.

[0023] The AI system can also generate a monthly report according to the detailed delivery report and the monthly performance evaluation report of each courier, and compare the performance of the express stations in various regions, and generate a data comparison table, and the comparison data includes the express completion rate, customer satisfaction, complaint ratio data and the like.

[0024] In other embodiments, the performance evaluation algorithm can also not be set in the AI system, that is, the logistics express station operation and maintenance optimization method based on RFID and AI of the present application is only used for batch scanning of stacked express items and entering the AI system, optimizing error processing, and optimizing delivery path to improve delivery efficiency, and the management module of the courier is an optional configuration.

[0025] In other embodiments, each logistics company can set the working parameters of the RFID reading and writing device according to its own conditions, including site size, daily delivery quantity, interval time of receiving express items from the warehouse and the like. For example, when the site wants to uniformly scan the stacked express, the reading frequency of the RFID reading and writing device is set to 925MHz, the reading distance is 0-12 meters, and the data format is ISO / IEC 18000-6. Or for example, when the site has conditions to set a conveyor belt to automatically transport and sort express, the RFID reading and writing device can be set above or beside the conveyor belt, and the RFID reading and writing device can be set to a reading frequency of 13.56MHz, a reading distance of 0-10cm, and a data format of ISO / IEC14443 and the like.

[0026] The above are only specific embodiments of the present application, and are not intended to limit the scope of the present application; if the present application is modified or replaced without departing from the spirit and scope of the present application, it should be covered in the protection scope of the claims of the present application.

Claims

1. A logistics express station operation and maintenance optimization method based on RFID and AI, characterized by: include: S1. Use a courier with an RFID tag; A data storage system and an AI system are set up in the logistics express delivery system. The AI ​​system is equipped with an address recognition algorithm and a path planning algorithm. An RFID reader / writer for reading RFID electronic tag information is initialized. S2, using an RFID reader to batch scan the RFID electronic tags in the express delivery orders, and entering all the scanned data into the data storage system; S3. The address recognition algorithm verifies the recipient's address level by level according to the administrative region division; If the address is judged to be wrong or incomplete, an error message will be reported; if the address is judged to be correct, the next step will be carried out; S4. The route planning algorithm matches couriers according to recipient addresses and comprehensively plans the optimal delivery route for all the parcels to be delivered by the courier on that day; S5. After each delivery, the courier uses an RFID reader to scan the delivery note. The path planning algorithm plans the best delivery path in real time based on the courier's current location and other couriers to be delivered.

2. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 1 is characterized in that: In S1, the initialization of the RFID reader / writer includes setting the working parameters of the RFID reader / writer, which include reading frequency, reading distance and data format; in S1, the data storage system is initialized, including establishing a blank cargo information database, establishing a blank recipient information database, and updating the courier information database.

3. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 1 is characterized in that: In S5, the data storage system also includes a historical recipient information database. The courier scans the courier order of the delivery through the RFID reader and writer, and records the delivery method of the successful delivery or the unsuccessful delivery in the historical recipient information database.

4. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 3 is characterized in that: In S3, the address recognition algorithm determines that the recipient address is wrong or incomplete. After reporting the error, the courier calls the recipient to verify and updates the verified recipient information in the recipient information database; or the courier queries the historical recipient information database to check whether there is an address that is similar to the current reported error address, has the same recipient, and has been successfully delivered in the past. If so, the queried historical recipient address is used to update the current reported error address.

5. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 3 is characterized in that: In S4 and S5, the path planning algorithm calculates the optimal delivery path, and also queries the historical recipient information database, combining the historical delivery difficulty data of the current delivery address and the real-time traffic conditions.

6. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 1 is characterized in that: In S4 and S5, the path planning algorithm calculates the optimal delivery path. According to the principle of giving priority to special goods, the delivery order is adjusted based on the number of deliveries in the same or similar areas and the size of the delivered items to make the delivery path the shortest.

7. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 1 is characterized in that: In S4 and S5, the path planning algorithm displays the delivery path through a map module.

8. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 1 is characterized in that: In S1, the AI ​​system is also provided with a performance evaluation algorithm; in S5, data is scanned in real time by an RFID reader / writer to record the number of deliveries, delivery time, and whether the delivery was unsuccessful by the courier, and the data is transmitted to the logistics express delivery system. The performance evaluation algorithm calculates the courier's work completion rate and work efficiency, and performs a performance evaluation on the courier's work on that day.

9. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 8 is characterized in that: It also includes S6 and AI systems to summarize and analyze the courier's daily performance evaluation of the month, generating detailed delivery reports and monthly performance evaluation reports. The performance evaluation indicators include delivery quantity, delivery time, work completion rate and work efficiency.

10. The logistics express station operation and maintenance optimization method based on RFID and AI according to claim 9 is characterized in that: In S6, the AI ​​system makes optimization suggestions and develops improvement plans for couriers based on their delivery reports and monthly performance evaluation reports from the previous month, including the minimum daily delivery quantity, delivery time, and work efficiency.

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