Warehouse scheduling method and device based on RFID antenna self-feedback perception, medium and equipment

Abstract

The invention discloses a warehouse scheduling method, device, medium and equipment based on RFID antenna self-feedback perception, and belongs to the technical field of warehouse scheduling, the warehouse scheduling method comprises the following steps: using an RFID antenna to transmit a radio frequency signal to read label information of to-be-stored goods, and determining whether the label information has a matched preset storage list; and if the label information is stored in the preset storage list, the to-be-stored goods matched with the preset storage list are conveyed to an optimal storage area, and the optimal storage area is calculated according to the preset storage list in combination with a storage area planning model. According to the method, the goods to be stored are acquired in advance, then the storage area can be quickly planned according to the existing storage space of the warehouse, and after the goods arrive at the warehouse, the goods can be stored according to the planned storage area, so that the warehousing storage efficiency of the warehouse is greatly improved.

Description

Technical Field

[0001] This application relates to the technical field of warehousing scheduling, and in particular to a warehousing scheduling method, device, medium and equipment based on RFID antenna self-feedback perception. Background Technique

[0002] There are mainly two tasks for the scheduling of warehouse goods. The first is to store the goods, and the second is to take out the goods for transfer. During conventional warehouse storage, manual goods acceptance is required, then label barcodes are pasted, and then the label information is manually entered into the system to collect the inbound information of the goods. Finally, handling equipment is used to transport the goods to the corresponding storage location. When shipping is required, the system is used to query the information of the goods for position positioning, then barcode scanning is confirmed, and then the goods are moved out using handling equipment, and finally the corresponding inventory information in the system is updated. When storing and transferring goods in the above manner, the efficiency is low. When the number of goods is large and storage and transfer are carried out simultaneously, it is easy to generate recording errors and the phenomenon of goods chaos. How to improve the storage and transfer efficiency of warehouse scheduling is an urgent problem to be solved. Summary of the Invention

[0003] The main purpose of this application is to provide a warehousing scheduling method, device, medium and equipment based on RFID antenna self-feedback perception, which uses RFID antennas to quickly read and identify the labels on the goods to achieve fast goods identification, storage and information update, and can solve the problem of low efficiency of manual inbound and outbound in the conventional method.

[0004] To solve the above problems, the present application is implemented by adopting the following technical solutions: In the first aspect, this application proposes a warehousing scheduling method based on RFID antenna self-feedback perception, and the method includes: Using an RFID antenna to transmit a radio frequency signal to read the label information of the goods to be stored, and determining whether there is a matching preset storage list for the label information; wherein, the preset storage list refers to a list of goods to be stored obtained in advance, and the goods to be stored are goods that need to be stored within a preset storage time interval; If the label information is stored in the preset storage list, then transport the goods to be stored that match the preset storage list to the best storage area, where the best storage area is calculated according to the preset storage list in combination with a storage area planning model.

[0005] To optimize the above technical solution, the specific measures taken also include: Further, before the step of transporting the goods to be stored that match the preset storage list to the best storage area, it includes: Read the preset storage list to determine the preset storage time interval and the goods to be stored; Using the storage area planning model, calculate the optimal shipping area that matches within a preset transfer time interval; Dynamically schedule the goods to be stored to the optimal storage area closest to the optimal shipping area.

[0006] Further, the steps of calculating the optimal shipping area that matches within a preset transfer time interval using the storage area planning model include: Obtain the label information of the goods to be stored in real time, where the label information includes the goods batch code, serial number code, basic goods data, logistics data, storage environment data, and transportation condition data; Using the preset storage list of the goods to be stored obtained in advance, calculate the theoretical storage distribution information that matches the goods to be stored within the preset storage time interval; Import the theoretical storage distribution information and the label information of the goods to be stored in real time into the optimal storage area planning model, and calculate the actual storage distribution information that matches within the preset storage time interval; Based on the actual storage distribution information, and in combination with the queuing time of each shipping area in the warehouse obtained in real time, calculate the optimal shipping area that matches within a preset transfer time interval.

[0007] Further, the steps of dynamically scheduling the goods to be stored to the optimal storage area closest to the optimal shipping area include: Read the label information of the goods to be stored; Obtain the queuing time and location information of the optimal shipping area in real time, and in combination with the label information of the goods to be stored, match the candidate storage areas that meet the requirements; Calculate the transportation time of the goods to be stored from each candidate storage area to the optimal shipping area, as well as the queuing time of the optimal shipping area within a preset transfer time interval, import the transportation time and the queuing time into the storage area planning model, and select the candidate storage area with the shortest overall time as the optimal storage area for the goods to be stored; Transport the goods to be stored to the optimal storage area.

[0008] Further, after the steps of calculating the optimal shipping area that matches within a preset transfer time interval using the storage area planning model include: Based on the current goods to be stored identified by the RFID antenna, match whether it corresponds to the current preset storage list within a preset storage time interval; If not, then dynamically update the preset storage list again according to the batch corresponding to the current goods to be stored, and raise the batch sequence corresponding to the current goods to be stored to the highest priority; If so, match the current goods to be stored with the preset storage list, and determine whether the batch of goods to be stored that match are complete. If there is a shortage, send information about the missing goods to the spare inventory to check if there are matching spare goods. If there are, convey the spare goods to the best storage area that matches according to the preset storage list.

[0009] Further, after the step of transporting the goods to be stored to the best storage area, it includes: Calculate the transportation time of the current goods to be transferred from the best storage area to the best shipping area and from the best storage area to other shipping areas; Dynamically update the queuing time of the best shipping area and other shipping areas; Select the shipping area with the shortest sum of transportation time and queuing time as the actual shipping area.

[0010] In a second aspect, the present application also provides a warehousing scheduling device based on RFID antenna self-feedback perception. The device includes: An RFID antenna module for transmitting radio frequency signals to the goods to be stored, receiving the feedback information of the RFID tags on the goods to be stored, and identifying the tag information using an RFID reader; An identification module for obtaining the tag information of the goods to be stored and verifying whether the tag information is within the matching preset storage list. The preset storage list refers to the list of goods to be stored obtained in advance, and the goods to be stored are the goods that need to be stored within a preset storage time interval; A planning module for transporting the goods to be stored that match the tag information on the preset storage list to the best storage area, where the best storage area is calculated according to the preset storage list in combination with a storage area planning model.

[0011] In a third aspect, the present application also provides a computer-readable storage medium that stores a set of program instructions that can be read by a machine. When the set of program instructions stored in the medium is read and executed by the machine, it can implement a warehousing scheduling method based on RFID antenna self-feedback perception as described above.

[0012] In a fourth aspect, the present application also provides an electronic device that includes a processor and a memory. The memory stores a set of program instructions. When the set of program instructions stored in the memory is loaded and executed by the processor, it can implement a warehousing scheduling device based on RFID antenna self-feedback perception as described above.

[0013] Advantages of the present application: This application uses an RFID antenna to transmit radio frequency signals to read the label information of goods to be stored, and determines whether there is a matching preset storage list for the label information; if the label information is stored in the preset storage list, the goods to be stored that match the preset storage list are transported to the optimal storage area, where the optimal storage area is calculated based on the preset storage list in combination with a storage area planning model. In this way, this application pre-obtains the goods that need to be stored soon, and then can quickly plan the storage area according to the existing storage space in the warehouse. When the goods arrive at the warehouse, they can be stored according to the planned storage area, greatly improving the warehousing storage efficiency of the warehouse and eliminating the need for manual searching and positioning of the goods to be transferred during shipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a flowchart of the warehousing scheduling method based on RFID antenna self-feedback perception of this application; Figure 2 is a schematic diagram of the module structure of the warehousing scheduling method of this application; Figure 3 is a schematic diagram of the structural distribution of the warehouse in this application; Figure 4 is a schematic diagram of the module structure of the warehousing scheduling device of this application; Figure 5 is a flowchart of the RFID tag reading and identification of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will elaborate on each embodiment of the present invention in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that in each embodiment of the present invention, many technical details are proposed for the purpose of enabling readers to better understand this application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions to be protected by this application can still be implemented.

[0016] The main solution of the embodiments of this application is: Use an RFID antenna to transmit radio frequency signals, collect the label information of goods to be stored in the identification area at the warehouse entrance, and determine whether the label information exists in a matching preset storage list; if the label information is stored in the preset storage list, the goods to be stored that match the preset storage list are transported to the optimal storage area, where the optimal storage area is calculated based on the preset storage list in combination with a storage area planning model.

[0017] Warehouse storage scheduling generally includes two aspects: the storage of goods and the flow of goods. In conventional technologies, warehouse scheduling often involves manual checking and counting of stored goods, entry into the system, selection of storage locations, statistical classification of flowing goods, and re-counting of quantities. In large-scale warehouse scheduling processes, a large amount of human and material resources are often required to cooperate to achieve the goal. Moreover, when dealing with a large number of goods storage or flow, it often takes a lot of time, resulting in low storage and flow efficiency.

[0018] This application provides a solution: by deploying RFID antennas and RFID readers at the warehouse entrance, inside the warehouse, and the shipping area, the RFID antennas can cover all internal storage areas, the entrance, and the shipping area of the warehouse. The RFID readers can read the radio frequency signals received by the RFID antennas, and through identifying the tag information of the goods (this tag information has been stored when the goods leave the factory), corresponding storage allocation and related requirements for the flow can be carried out, thereby planning the optimal storage area and flow path, and improving the scheduling management efficiency of the warehouse. Specifically, the information management system first uses the RFID reader set at the warehouse entrance to read the tag information of the goods to be stored, and combines with the storage area planning model to calculate and match the storage area, and conveniently and efficiently stores the goods to be stored in the optimal storage area. Then, the information management system uses the RFID readers inside the warehouse to obtain the information of the goods currently stored in the warehouse in real time, matches the logistics data request, screens the appropriate stored goods for flow, combines the current queuing times of multiple shipping areas in the warehouse, selects the best shipping area for shipping and flowing, and uses the RFID readers set at the shipping area to conduct a second verification of the goods, which is convenient for subsequent updating of the relevant information in the information management system. By using the RFID antennas in combination with the tags on the goods, intelligent perception and feedback can be achieved, and ultimately the efficiency and intelligence of warehouse scheduling can be realized in multiple aspects.

[0019] Refer to Figure 1 , this application embodiment provides a warehouse scheduling method based on self-feedback perception of RFID antennas. Figure 1 It is a schematic flow chart of the warehouse scheduling method based on self-feedback perception of RFID antennas of this application.

[0020] A warehouse scheduling method based on self-feedback perception of RFID antennas of this application includes the following steps: Step S1: Use the RFID antenna to transmit radio frequency signals, read the tag information of the goods to be stored in the identification area at the warehouse entrance, and determine whether there is a matching preset storage list for the tag information.

[0021] It is understandable that: label information refers to the identification information recognized within the identification area for indicating the details of goods, including goods batch codes, serial numbers, basic goods data, logistics data, storage environment data, transportation condition data, etc. These information are used to plan the storage area of goods to ensure reasonable storage and quick and efficient retrieval. Auxiliary data includes storage environment data and transportation condition data.

[0022] Among them, the preset storage list refers to the list of goods to be stored obtained in advance, and the goods to be stored are those that need to be stored within a preset storage time period. The preset storage list usually includes goods batch codes, the quantity of goods in each batch, serial numbers, basic goods data, logistics data, storage environment data, storage area location planning data.

[0023] Among them, the identification area at the warehouse entrance means that an RFID antenna and an RFID reader are set at the entrance of the warehouse, and the area covered by the RFID reader that can be recognized is the identification area. When the goods to be stored are transported to this identification area, the RFID reader can be used to read the label information, and efficient identification of the goods to be stored can be achieved.

[0024] It is understandable that: the information management system pre-obtains the storage tasks in the identification area at the warehouse entrance to form a preset storage list, and the storage time period is from 8:00 to 9:00 in the morning of the same day.

[0025] After the goods to be stored arrive at the warehouse entrance, the label information of the current goods will be identified through the identification area at the warehouse entrance, and it will be queried whether the goods of this batch are in the preset storage list. After matching and confirmation, the storage task matching the goods to be stored will be raised to the highest priority.

[0026] The identification area at the warehouse entrance can conduct preliminary identification and classification of goods, which is convenient for subsequent storage of the goods to be stored. Usually, an RFID reader, in cooperation with an automated robot, can achieve automatic identification, classification, and transportation of the goods to be stored.

[0027] It is understandable that: according to the basic goods data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are carried out in the identification area at the warehouse entrance, and the goods to be stored of the same type and with the same logistics data are classified and stored uniformly. Among them, the same type means that the storage conditions and transportation conditions of the goods are the same.

[0028] When the goods to be stored arrive at the identification area, the RFID reader reads the label on the goods to be stored to obtain the matching label information, and then compares and matches it with the preset storage list. After matching and confirmation, it is confirmed that the goods to be stored have a matching preset storage list, and then the storage task of the batch of goods to be stored that matches will be raised to the highest priority.

[0029] Step S2: If the label information is stored in the preset storage list, the goods to be stored that match the preset storage list are transported to the optimal storage area, where the optimal storage area is calculated based on the preset storage list in combination with the storage area planning model.

[0030] It can be understood that: The optimal storage area refers to the most suitable storage area calculated based on the real-time storage distribution in the warehouse, the basic goods data, logistics data, and storage environment data of the current goods to be stored, facilitating subsequent logistics transfer. Generally, it is selected at the location with the highest extraction efficiency to reduce the waiting time for extraction and shipment. The goods to be stored refer to the goods that the information management system receives in advance and needs to be stored within a specified time period. It is associated with the matching preset storage list and includes the goods batch code, serial number code, basic goods data, logistics data, storage environment data, transportation condition data, etc. The storage area planning model is a calculation model using data analysis to analyze and plan the optimal storage area for the goods to be stored. This model calculates using the goods already stored in the warehouse, the goods to be stored, and the queuing time in the shipping area, and is dynamically updated to improve the accuracy of the planning.

[0031] It can be understood that: The information management system pre-obtains the storage tasks in the identification area at the warehouse entrance to form a preset storage list, and the storage time interval is from 8:00 to 9:00 in the morning of the same day.

[0032] After the goods to be stored arrive at the warehouse entrance, the label information of the current goods is identified through the identification area at the warehouse entrance, and it is queried whether the goods of this batch are in the preset storage list. After matching and confirmation, the storage task matching the goods to be stored is raised to the highest priority.

[0033] The identification area can conduct preliminary identification and classification of the goods to facilitate the subsequent storage of the goods to be stored. Usually, an RFID reader, in cooperation with an automated robot, can achieve automatic identification, classification, and transportation of the goods to be stored.

[0034] It can be understood that: Based on the basic goods data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are carried out in the identification area, and the goods of the same type and with the same next-stop logistics location are grouped and stored uniformly. Among them, the same type means that the storage conditions and transportation conditions of the goods are the same. The same logistics data means that if there is the same route between multiple locations, they are classified as having the same logistics data. For example, if the destinations of Class I goods are three places A, B, and C, and the transportation route passes through A, B, and C in sequence, then it can be considered that the logistics data of A, B, and C are the same, and they can be loaded and transported together and delivered.

[0035] When the goods to be stored arrive at the identification area, the RFID reader reads the tags on the goods to be stored, obtains the matching tag information, and then compares and matches it with the preset storage list. After the matching is confirmed, it is confirmed that the goods to be stored have a matching preset storage list, and then the storage tasks of the batch of matching goods to be stored are raised to the highest priority.

[0036] The information management system uses the tag information of the goods to be stored in the identification area at the warehouse entrance obtained in real time, combines it with the preset storage list, and through the preset storage area planning model, combines the logistics data of the goods to be stored to calculate the best storage area for the goods to be stored. The information management system schedules the goods to be stored from the warehouse entrance to the best storage area with the shortest time to the shipping area within the specified time period, and uses an automated robot to transport the goods to be stored to the best storage area.

[0037] The information management system forms a dynamically updated transfer list based on the goods stored in the warehouse and combines the matching logistics data, and conducts sequential verification according to the transfer list, and takes out and loads the stored goods that meet the transfer requirements.

[0038] It can be understood that: the transfer list is a shipping sequence formed according to the logistics data of each stored good, in accordance with time, location, transportation conditions, etc., and its sorting is carried out according to the time sequence. It includes not only the logistics data of the goods to be stored, but also the logistics data of the already stored goods.

[0039] When conducting sequential verification, it is carried out one by one in the order on the transfer list, and the verification content includes number codes, logistics data, basic goods data of the stored goods, transportation condition data, etc. It can ensure the accurate identification of the goods to be transferred and improve the overall transfer efficiency at the same time.

[0040] Before the step of transporting the goods to be stored that match the preset storage list to the best storage area, it includes: Read the preset storage list to determine the preset storage time interval and the goods to be stored; Use the storage area planning model to calculate the best shipping area that matches within the preset transfer time interval; Dynamically schedule the goods to be stored to the best storage area closest to the best shipping area.

[0041] It can be understood that: the preset transfer time interval is selected according to the preset logistics distribution time interval, and generally the time required for loading is determined according to the overall time of the logistics distribution, so as to ensure that the goods are delivered to the target location within the set time.

[0042] The best shipping area refers to selecting one or more exits from multiple exits of the warehouse as the shipping area for the goods, and the time taken for the stored goods to be transported to this shipping area for transfer is the shortest.

[0043] The optimal storage area is used to store the goods to be stored that are matched. These goods to be stored are divided according to the logistics destination and different logistics distribution time intervals. The goods to be stored in the optimal storage area can be quickly transported to the matching optimal shipping area, and the goods to be stored can be quickly loaded and transferred.

[0044] It can be understood that the information management system pre-obtains the storage tasks in the identification area at the warehouse entrance to form a preset storage list, and the storage time interval is from 8:00 to 9:00 in the morning.

[0045] After the goods to be stored arrive at the warehouse entrance, the identification area at the warehouse entrance will identify the label information of the current goods and query whether the batch of goods is in the preset storage list. After matching and confirmation, the storage task matching the goods to be stored will be raised to the highest priority.

[0046] The identification area can conduct preliminary identification and classification of the goods to facilitate the subsequent storage of the goods to be stored. Usually, an RFID reader is used, in cooperation with an automated robot, to achieve automatic identification and classification of the goods to be stored.

[0047] It can be understood that based on the basic goods data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are carried out in the identification area, and the goods of the same type and with the same next-stop logistics location are classified and stored uniformly. Here, the same type means that the storage conditions and transportation conditions of the goods are the same.

[0048] When the goods to be stored arrive at the identification area, the RFID reader reads the label on the goods to be stored to obtain the matching label information, and then compares and matches it with the preset storage list. After matching and confirmation, it is confirmed that the goods to be stored have a matching preset storage list, and then the storage task of the batch of matching goods to be stored will be raised to the highest priority.

[0049] First, the information management system identifies that the preset storage time interval is from 8:00 to 9:00 according to the preset storage list, and ensures that it is consistent with the label information of the goods to be stored. Then, the information management system plans the optimal shipping area matching the goods to be stored for transfer within the corresponding transfer time interval according to the preset storage area planning model, combined with the queuing time of each shipping area in the current warehouse. For example: the transfer time period is from 19:00 to 20:00, and the goods that need to be transferred during this time period are scheduled to the matching optimal shipping area.

[0050] The information management system dynamically schedules the goods to be stored to the best storage area closest to the best shipping area. Then, it uses an RFID reader to identify the label information of the goods to be stored, extracts the logistics data in the label information, matches the candidate storage areas that meet the requirements, and at the same time, based on the current queuing time of each shipping area and the distance between the shipping area and each candidate storage area, selects the storage area with a shorter overall time consumption as the best storage area according to the queuing time and distance. Finally, the information management system transports the goods to be stored to the matching best storage area through an automated robot.

[0051] After the goods to be stored are transported to the best storage area, the information management system forms a transfer list based on the logistics data of all the stored goods in the current warehouse, and combines the relevant information of the logistics equipment, such as capacity, transportation time, and storage conditions, to load and transport all the goods to be transferred that match this batch on the transfer list. Thus, precise matching is achieved, greatly shortening the logistics transfer time.

[0052] The information management system analyzes the transfer list to determine the logistics transfer time interval and the goods to be transferred, combines the storage area planning model, and then dynamically schedules the goods to be transferred to the matching best shipping area, enabling the goods to be transferred to achieve efficient transfer. During loading, according to the relevant conditions of the logistics equipment, all the goods to be transferred in the same batch are loaded on one or more logistics equipment.

[0053] The steps of calculating the best shipping area that matches within the preset storage time interval using the storage area planning model include: Obtain the label information of the goods to be stored in real time, where the label information includes the goods batch code, serial number code, basic goods data, logistics data, storage environment data, and transportation condition data; Use the preset storage list of the goods to be stored obtained in advance to calculate the theoretical storage distribution information that the goods to be stored match within the preset storage time interval; Import the theoretical storage distribution information and the label information of the goods to be stored in real time into the best storage area planning model to calculate the actual storage distribution information that matches within the preset storage time interval; According to the actual storage distribution information, combined with the queuing time of each shipping area in the warehouse obtained in real time, calculate the best shipping area that matches within the preset transfer time interval.

[0054] It should be noted that the label information of the goods to be stored in real time refers to the information of the goods to be stored that is identified in real time in the identification area at the warehouse entrance.

[0055] The theoretical storage distribution information is based on the relevant information of the goods to be stored received in advance by the information management system, and then combined with the label information of the goods to be stored in real time to verify the quantity of the goods that need to be stored in the identification area during the corresponding time period, so as to provide a basis for the storage area planning model for storage area planning.

[0056] The label information of the goods to be stored in real time includes the quantity information of the goods to be stored, that is, the quantity information of the goods to be stored actually collected during the corresponding time period. This information can be used for the subsequent dynamic storage area planning calculation for matching. There may be an error between this data and the goods in the corresponding time period received in advance.

[0057] For example, the information management system receives that 3 batches of goods will be received from 6 to 8 pm, but in fact, due to various objective reasons, only 2 batches of goods are received from 6 to 8 pm; or originally 3 batches of goods will be received from 6 to 8 pm, but in fact, the goods delayed in the previous time period also arrive during this time period, becoming 4 batches of goods; or the quantity of a single batch of goods should be 50 boxes, but actually 49 boxes or 51 boxes are received. At this time, it is necessary to perform dynamic storage area planning calculation according to the quantity of the actual goods for matching.

[0058] The identification area at the warehouse entrance can initially identify and classify the goods to be stored, facilitating the subsequent storage of the goods to be stored. Usually, an RFID reader is used, in cooperation with an automated robot, to achieve automatic identification, classification, and transportation of the goods.

[0059] It can be understood that based on the basic data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are carried out in the identification area at the warehouse entrance, and the goods to be stored of the same type and with the same logistics data are uniformly classified and stored. Among them, the same type means that the storage conditions and transportation conditions of the goods to be stored are the same. The same logistics data means that those with the same route between multiple locations are classified as having the same logistics data.

[0060] When the goods to be stored arrive at the identification area, the RFID reader reads the label on the goods to obtain the matching label information, and then compares and matches it with the preset storage list. After the matching is passed, it is confirmed that the goods to be stored have a matching preset storage list, and then the storage task matching the goods to be stored is raised to the highest priority.

[0061] The information management system determines the preset storage time interval range based on the label information of the goods to be stored in the identification area obtained in real time, and the matching logistics data is consistent with the goods to be stored. Then, the information management system calculates the location of the best shipping area matching the goods to be stored in this batch within the preset storage time interval range according to the preset storage area planning model and in combination with the queuing time of each shipping area in the current warehouse.

[0062] The theoretical storage distribution information and the label information of the goods to be stored in the identified area collected in real time are input into the storage area planning model, and the actual storage distribution information is calculated. The storage area planning model combines the actual storage distribution information to calculate the distribution of the goods to be stored during the period from 6 to 8 pm. According to the calculation results and the queuing time of each shipping area in the warehouse obtained in real time, the information management system determines the best shipping area location that matches within the preset transfer time interval, which is convenient for improving the goods transfer efficiency.

[0063] The information management system dynamically schedules the goods to be stored to the best storage area closest to the best shipping area. Then, the RFID reader is used to identify the label information of the goods to be stored, extract the logistics data in the label information, match the eligible alternative storage areas, and at the same time, according to the current queuing time of the best shipping area and the distances between each shipping area and each alternative storage area, then select the alternative storage area with a shorter overall time consumption as the best storage area based on the queuing time and distance. Finally, the information management system transports the goods to be stored to the matching best storage area through an automated robot.

[0064] After the goods to be stored are transported to the best storage area, the information management system forms a transfer list based on the logistics data of all the stored goods in the current warehouse, and combines the relevant information of the logistics equipment, such as capacity, transportation time, and storage conditions, to load and transport all the goods to be transferred that match this batch on the transfer list. Thus, accurate matching is achieved, and the logistics transfer time is greatly shortened.

[0065] The information management system analyzes the transfer list to determine the logistics transfer time interval and the goods to be transferred, combines the storage area planning model, and then dynamically schedules the goods to be transferred to the matching best shipping area, enabling the goods to be transferred to achieve efficient transfer. During loading, according to the relevant conditions of the logistics equipment, all the goods to be transferred in the same batch are loaded on one or more logistics equipment.

[0066] The steps of dynamically scheduling the goods to be stored to the best storage area closest to the best shipping area include: Read the label information of the goods to be stored; Obtain the queuing time and location information of the best shipping area in real time, and combine the label information of the goods to be stored to match the eligible alternative storage areas; Calculate the transportation time of the goods to be stored from each alternative storage area to the best shipping area and the queuing time of the best shipping area within the preset transfer time interval, import the transportation time and the queuing time into the storage area planning model, and select the alternative storage area with the shortest overall time consumption as the best storage area for the goods to be stored; Transport the goods to be stored to the best storage area.

[0067] It can be understood that the label information of the goods to be stored includes the basic goods data, logistics data, storage environment data, and transportation condition data of the goods to be stored. Among them, the basic goods data includes quantity information, that is, the quantity of the goods to be stored in a certain batch. Logistics data refers to the transportation location information matching the goods to be stored in this batch. Storage environment data includes the storage space and storage environment requirements matching the goods to be stored in this batch. Transportation condition data refers to the relevant conditions required for the transportation of a certain batch of goods, which is usually used to distinguish between regular goods and fragile goods.

[0068] The storage status of the warehouse refers to the information of the relevant goods currently stored in the warehouse, which can represent the dynamic capacity information of the warehouse and facilitate providing data basis for subsequent allocation of storage locations for the goods to be stored.

[0069] The storage area to be selected refers to the storage area that meets the conditions screened according to the storage requirements of the goods to be stored.

[0070] The optimal storage area refers to the storage area selected from the storage areas to be selected with the shortest comprehensive time to reach the optimal shipping area, which is used to store the matching goods to be stored.

[0071] It can be understood that in the identification area at the warehouse entrance, the RFID reader is used to identify the RFID tags on the goods to be stored and obtain the relevant information of the goods to be stored. The information management system will receive 3 batches of goods from 6 to 8 pm. However, in fact, due to various objective reasons, only 2 batches of goods are received from 6 to 8 pm; or originally 3 batches of goods were supposed to be received from 6 to 8 pm, but in fact, the goods delayed in the previous time period also arrived during this time period, becoming 4 batches of goods; or the quantity of a single batch of goods should be 50 cases, but actually 49 cases or 51 cases are received. At this time, it is necessary to perform dynamic storage area planning calculations according to the actual quantity of the matching goods.

[0072] The identification area at the warehouse entrance can conduct preliminary identification and classification of the goods to be stored, facilitating subsequent storage. Usually, an RFID reader is used, combined with an automated robot, to achieve automatic identification and classification of the goods.

[0073] It can be understood that: according to the basic goods data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are carried out in the identification area at the warehouse entrance, and the goods to be stored of the same type and with the same logistics data are classified and stored uniformly. Among them, the same type means that the storage conditions and transportation conditions of the goods to be stored are the same. The same logistics data means that those with the same route among multiple locations are classified as having the same logistics data.

[0074] When the goods to be stored arrive at the identification area, the RFID reader reads the label on the goods to obtain the matching label information, and then compares and matches it with the preset storage list. After passing the match, it is confirmed that the goods to be stored have a matching preset storage list, and then the storage task matching the goods to be stored is raised to the highest priority.

[0075] The information management system analyzes the preset storage list to determine that the preset storage time interval is from 6 to 8 pm, and whether the goods to be stored correspond to the preset storage list. Then, the information management system reads the label information of the goods to be stored through the RFID reader to obtain the identity verification information of the goods to be stored. For example, the size, storage conditions, and highest priority identification of the goods to be stored read in the identification area.

[0076] The information management system obtains the storage capacity of each candidate storage area in real time, including the remaining storage space and storage environment data of each candidate storage area. The information management system filters out the candidate storage areas that meet the conditions according to the quantity information, logistics data, storage environment data, and transportation condition data in the label information of the identified goods to be stored. Suppose the information management system selects two candidate storage areas, and the remaining storage space and storage environment data of these candidate storage areas can meet the storage requirements of the relevant goods to be stored.

[0077] Then, the information management system combines the location of the best shipping area to judge the transportation time from each candidate storage area to the best shipping area. Through the transportation time judgment, the information management system finds that the transportation time from one candidate storage area to the best shipping area and the queuing time corresponding to the best shipping area are the shortest, only 30 minutes, while the time to the other candidate storage area is 50 minutes.

[0078] The information management system selects the candidate storage area with the shortest time to the best shipping area as the best storage area for the goods to be stored, and uses an automated robot to transport the goods to be stored to the best storage area. The automated robot combines the pre-set transportation route to transport the goods to be stored from the identification area at the warehouse entrance to the best storage area, ensuring that the goods to be stored can be transported to the set position and loaded and transferred in the shortest time.

[0079] After the goods to be stored are transported to the best storage area, the information management system forms a transfer list based on the logistics data of all the stored goods in the current warehouse, and combines the relevant information of the logistics equipment, such as capacity, transportation time, and storage conditions, to load and transport all the goods to be transferred that match this batch on the transfer list. Thus, precise matching is achieved, greatly shortening the logistics transfer time.

[0080] It can be understood that: The information management system collects the label information of the goods to be stored identified by the RFID reader, evaluates the storage information of each candidate storage area in real time, screens the candidate storage areas that meet the conditions, and selects the best storage area for storing the goods to be stored. This method speeds up the classification and storage efficiency of the goods to be stored and can also improve the subsequent turnover efficiency of the goods to be stored.

[0081] It can be understood that: There are several different types of storage areas and multiple shipping areas in the warehouse. The storage environment of the storage areas is set according to different storage requirements, and each storage area corresponds to several shipping areas. Among them, different storage requirements refer to the type, temperature, light, dryness, stackability, ventilation requirements, etc. of the goods to be stored. For example, according to the Figure 3 , it can be classified into normal temperature storage and low temperature storage according to the temperature requirements of the goods to be stored.

[0082] Please refer to Figure 3 , the goods to be stored in the normal temperature storage area have no special temperature requirements, and a storage area with general environmental conditions can be selected for storage. The goods to be stored in the low temperature storage area need to set relevant storage conditions, and a matching temperature-adjustable storage area can be selected for storage.

[0083] Obtain the storage capacity of each candidate storage area in the identification area in real time, including the label information of the stored goods currently stored in each candidate storage area, extract the basic data, storage environment data, logistics data, etc. of the goods from the label information, and match the candidate shipping areas that meet the requirements in combination with the label information of the goods to be stored. Finally, the information management system transports the goods to be stored to the matching best shipping area through an automated robot.

[0084] According to the location of the best shipping area, select the candidate storage area with the shortest time to reach the best shipping area among several candidate storage areas that match the best shipping area as the best storage area for the goods to be stored. The automated robot combines the pre-set conveying route to convey the goods to be stored from the identification area to the matching best storage area to ensure that the goods to be stored can reach the set position efficiently and accurately.

[0085] The method of storing the matching goods to be stored in combination with the location of the best shipping area includes, but is not limited to, selecting the candidate storage area with the shortest time as the best storage area. This shortest time means the sum of the transportation time and the waiting queuing time is the shortest.

[0086] In this embodiment, by setting the dynamic correspondence between the optimal shipping area and the optimal storage area, and combining the storage status of the warehouse with the dynamic scheduling mechanism, it is ensured that the goods to be stored arriving in batches can be stored in the matching optimal storage area in the shortest time, facilitating efficient and rapid circulation according to the logistics data subsequently. Specifically, the recognition area selects different optimal shipping areas according to relevant information such as the basic data of the goods to be stored, storage environment data, transportation condition data, and logistics data, and matches several optimal storage areas to each optimal shipping area. The positions of the several optimal storage areas are different, and at the same time, the space of the storage racks in the optimal storage area can be adjusted according to the size of the goods to be stored, ensuring that the maximum storage capacity can be achieved on the premise of meeting the size of the goods to be stored; the environmental information of the several optimal storage areas can be adjusted according to the relevant goods to be stored to meet their storage requirements. For example, for the goods to be stored that need to be stored at low temperature, calculate the storage time, the required temperature, the size and quantity of the goods to be stored, etc. according to the shipping time of the goods to be stored, and select a suitable area in the optimal storage area for storage. Through this method, the goods to be stored in the recognition area at the warehouse entrance can be quickly classified and efficiently stored. Ensure that the goods to be stored do not pile up at the warehouse entrance.

[0087] After the step of calculating the matching optimal shipping area within the preset turnover time interval by using the storage area planning model, it includes: According to the currently to-be-stored goods identified by the RFID antenna, match whether it corresponds to the current preset storage list within the preset storage time interval; If not, then dynamically update the preset storage list again according to the batch corresponding to the currently to-be-stored goods, and raise the batch sequence corresponding to the currently to-be-stored goods to the highest priority; If so, then match the currently to-be-stored goods with the preset storage list, and judge whether the to-be-stored goods matched by this batch are complete. If there is a shortage, send the information of the relevant missing goods to the spare inventory to check whether there are matching spare goods; if there are, then convey the spare goods to the matching optimal storage area according to the preset storage list.

[0088] It can be understood that: the preset storage list refers to a list formed by sorting the preset arrival times of multiple batches of goods to be stored in chronological order; the batch of goods to be stored refers to different batches of goods to be stored sorted in the order of arrival time periods according to the preset storage list. The spare inventory refers to: the stored goods in the current warehouse without specified relevant circulation information.

[0089] It can be understood that when the goods to be stored in a certain batch arrive at the identification area, the RFID reader identifies the RFID tag matched with the goods to be stored. The information management system matches the batch of the goods to be stored according to the RFID tag, updates the batch sorting after matching, raises the batch of the goods to be stored to the highest priority, and correspondingly, when identifying, all the goods to be stored matched with this batch are of the highest priority. Then, the identification, classification, and storage of the goods to be stored in this batch are carried out one by one. Ensure that the quantity of the goods to be stored read is consistent with the preset storage list.

[0090] The information management system collects the RFID tag information read and matches it with the preset storage list, sorts it according to the priority, and first extracts whether the goods to be stored with the highest priority match are consistent with the preset storage list. If there is an inconsistency, then retrieve the information of the spare inventory to check whether there is the same goods information. If there is, retrieve the spare goods and transport them to the best storage area that matches. For example: The goods to be stored in the current batch are 50 boxes of medical devices, and the information matched on the preset storage list is also 50 boxes of medical devices, but actually only 49 boxes are identified through the RFID tag. At this time, check whether there are matching spare goods in the spare inventory. If there are, directly transport the box of medical devices to the best storage area that matches.

[0091] The information management system obtains the storage capacity of each candidate storage area in the identification area in real time, including the remaining storage space and storage environment data of each candidate storage area. The information management system filters out the candidate storage areas that meet the conditions according to the basic goods data, storage environment data, transportation condition data, etc. in the tag information of the goods to be stored identified. Suppose the information management system filters out two candidate storage areas, and the remaining storage space and storage environment data of these candidate storage areas can meet the requirements of the relevant goods.

[0092] Then, the information management system will combine the location of the best shipping area, judge the time from each candidate storage area to the best shipping area. Through the time judgment, the information management system finds that the time from one candidate storage area to the best shipping area and the queuing waiting time are the shortest, only 30 minutes, while the time to the other candidate storage area is 50 minutes.

[0093] The information management system selects the candidate storage area with the shortest time to the best shipping area as the best storage area for the goods to be stored, and uses an automated robot to transport the goods to be stored to the best storage area. The logistics equipment combines the preset transportation route to transport the goods to be stored from the identification area at the warehouse entrance to the best storage area, ensuring that the goods to be stored can be transported to the set position in the shortest time.

[0094] After the goods to be stored have been stored in the optimal storage area, the information management system generates a transfer list based on the logistics data and sorts it in chronological order. Then, the matching logistics equipment is used for transfer.

[0095] It can be understood that: by calculating the queuing time of multiple shipping areas and combining the logistics time, the information management system selects the optimal shipping area that can meet the shipping requirements within the logistics time period for transfer and transportation, thus improving the transfer efficiency of the goods.

[0096] After transporting the goods to be stored to the optimal storage area, it also includes: According to the logistics data, set the transfer list and calculate the transportation time of the current goods to be transferred from the optimal storage area to each shipping area; Dynamically update the queuing time of each shipping area; Select the shipping area with the shortest sum of transportation time and queuing time as the actual shipping area.

[0097] It can be understood that each optimal storage area has a large space and a large number of goods stored inside. Therefore, each storage area has multiple shipping areas, which is convenient for improving the shipping efficiency.

[0098] The transfer list refers to the transfer list formed by sorting the batches of the goods to be transferred according to the logistics data. This list also includes the estimated loading time of each batch of goods to be transferred. When sorting the transfer list, it is sorted according to the corresponding batch of logistics data and the estimated loading time, and is updated in real time and dynamically. The goods to be transferred include the goods that have been stored and the goods that have just been stored.

[0099] The estimated loading time is calculated based on the distance between the goods to be transferred and the shipping area, and the transportation speed of the matching conveying equipment.

[0100] Calculate the remaining loading time of the current batch. If the remaining loading time is lower than the set threshold, dynamically supplement the matching automated robots to reduce the remaining loading time.

[0101] When supplementing the automated robots, combine the transportation speed of the automated robots and the remaining goods to be transferred, and select the matching number of automated robots so that the remaining loading time meets the requirements of the set threshold.

[0102] There may be a discrepancy between the actual shipping area and the optimal shipping area. The above-mentioned optimal shipping area is calculated based on the set conditions. However, in the actual process, the goods corresponding to the transfer list of the same batch may include goods that have already been stored, goods that have just been stored, and there may be changes in logistics tasks, such as adding or reducing the goods to be transferred, and the estimated loading time may also differ from the actual situation. Therefore, when finally selecting the actual shipping area, it is necessary to re-check the queuing time of each shipping area to determine the actual shipping area.

[0103] Please refer to Figure 2 and Figure 5 For the convenience of understanding the implementation process of the storage turnover method of the goods to be stored obtained by combining the above-mentioned Embodiment 1 with this embodiment, Figure 2 a module structure schematic diagram of the warehousing scheduling method is provided, Figure 5 a flow schematic diagram of RFID tag reading and identification is provided, specifically: The information management system presets the storage tasks of the identification area, and the preset time interval is from 8:00 to 9:00 in the morning of the current day. After the goods to be stored arrive at the identification area, the RFID antenna emits a radio frequency signal to identify the tag information of the goods to be stored, and compares the tag information with the preset storage list to determine whether the batch of goods is within the preset storage list. After the information management system matches correctly, the following process is entered: Analysis of the preset storage list and planning of the optimal storage area: The information management system analyzes the current preset storage list, determines that the preset time period is from 8:00 to 9:00 in the morning, and extracts the tag information of the goods to be stored. Using the preset storage area planning model, the RFID reader / writer real-time obtains the quantity information of the real-time goods to be stored in the identification area, combines the tag information of the goods already stored in each alternative storage area, and calculates the location of the optimal storage area that matches this batch of goods to be stored during the period from 8:00 to 9:00.

[0104] Dynamically scheduling the goods to be stored to the optimal storage area: The information management system collects the tag information of the goods to be stored identified by the RFID reader / writer, obtains the tag information of the goods to be stored, and the tag information includes basic goods data, logistics data, storage environment data, etc. According to the tag information, it matches the preset storage list to determine whether it corresponds to the goods to be stored during this time period. If not, it identifies the sequence of the batch list that the goods to be stored match and raises it to the highest priority. At the same time, the RFID reader / writer real-time collects the tag information of the goods already stored in each storage area, matches the alternative storage areas that meet the storage requirements of the goods to be stored, calculates the distance from each alternative storage area to the optimal shipping area according to the location of the optimal shipping area, and selects the alternative storage area with the shortest time as the optimal storage area for the goods to be stored. The goods to be stored are transported to the optimal storage area by an automated robot.

[0105] Storage exception: If all the goods to be stored do not reach the identification area within the preset storage time range (there is an omission), the information management system locates the missing goods according to the batch list, and then checks whether there are spare goods in the spare warehouse. If there are, the spare goods are retrieved and directly sent to the matching best storage area. If not, the missing information is recorded, the replenishment is notified through the information management system, and the transfer time matching this batch of goods is delayed until the goods are replenished.

[0106] Selection of the shipping area and guidance for the flow of goods: The information management system forms a transfer list according to the preset transfer time range. Sequential verification is carried out according to the transfer list, and the goods to be retrieved that meet the transfer requirements are taken out and loaded for transfer. If, according to the priority sorting of the transfer list, the batch of goods with the highest priority match is not complete, the next batch of goods to be retrieved is promoted to the highest priority.

[0107] The system collects the queuing time of each shipping area in real time, and calculates the shipping area with the shortest time consumption as the actual shipping area according to the queuing time of each shipping area, the distance between the goods to be retrieved and each shipping area, and the goods loading time. Then, an automated robot is used to transport the corresponding batch of goods to be retrieved from the best storage area to the actual shipping area. In the actual shipping area, the label of the goods is read by an RFID reader for secondary verification, and the transfer list is updated. When actual shipping is carried out, since the calculated best shipping area is the best shipping area under normal conditions, but in the actual process, since the transfer list will change at all times, for example, a batch of goods needs to be sent in a hurry and jump the queue, the goods originally sent in a batch need to be transferred earlier or later, the goods in the original batch need to be increased or decreased, etc., the above situations will all cause changes in the queuing time of the calculated best shipping area. Therefore, when finally sending the goods, it is also necessary to verify the queuing time of each shipping area again and calculate the actual shipping area again.

[0108] Through the above process, the warehousing scheduling method based on RFID antenna self-feedback perception of the present application realizes efficient storage and transfer services, greatly improves the turnover efficiency of goods, and at the same time, the information management system ensures the overall highest efficiency through real-time information analysis and dynamic update.

[0109] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the warehousing scheduling method based on RFID antenna self-feedback perception of the present application. Based on this technical concept, more forms of simple transformation are within the protection scope of the present application.

[0110] Please refer to Figure 4 In addition, the present application also provides a warehousing scheduling device based on RFID antenna self-feedback perception. The warehousing scheduling device includes: The RFID antenna module 100 is used to transmit radio frequency signals to the goods to be stored, receive the feedback information of the RFID tags on the goods to be stored, and identify the tag information using an RFID reader / writer; The identification module 200 is used to obtain the tag information of the goods to be stored and verify whether the tag information is within the matching preset storage list. The preset storage list refers to the list of goods to be stored obtained in advance, and the goods to be stored are the goods that need to be stored within a preset storage time interval; The planning module 300 is used to transport the goods to be stored that match the tag information on the preset storage list to the best storage area, where the best storage area is calculated based on the preset storage list in combination with the storage area planning model.

[0111] And / or, the warehousing scheduling device based on the self-feedback perception of the RFID antenna includes: The first analysis module is used to read the preset storage list and determine the preset storage time interval and the goods to be stored; The first planning module is used to calculate the best shipping area that matches the preset transfer time interval using the storage area planning model; The first scheduling module is used to dynamically schedule the goods to be stored to the best storage area closest to the best shipping area.

[0112] And / or, the first planning module includes: The first identification module is used to obtain the tag information of the goods to be stored in real time. The tag information includes the goods batch code, serial number code, basic goods data, logistics data, storage environment data, and transportation condition data; The second analysis module is used to calculate the theoretical storage distribution information that matches the goods to be stored within the preset storage time interval using the preset storage list of the goods to be stored obtained in advance; The second planning module is used to import the theoretical storage distribution information and the real-time tag information of the goods to be stored into the best storage area planning model, calculate the actual storage distribution information that matches within the preset storage time interval, and calculate the best shipping area that matches within the preset transfer time interval according to the actual storage distribution information in combination with the queuing time of each shipping area in the warehouse obtained in real time.

[0113] And / or, the first scheduling module includes: The first reading module is used to read the tag information of the goods to be stored; The second identification module is used to obtain the queuing time and location information of the best shipping area in real time, and match the candidate storage areas that meet the requirements in combination with the tag information of the goods to be stored; A first matching module, configured to calculate the time for the goods to be stored from each candidate storage area to the optimal shipping area and the queuing time in the optimal shipping area, and select the candidate storage area with the shortest time as the optimal storage area for the goods to be stored; A first scheduling module, configured to transport the goods to be stored to the optimal storage area.

[0114] And / or, the warehousing scheduling device based on RFID antenna self-feedback perception includes: A first verification module, configured to, according to the currently stored goods identified by the RFID antenna, match whether it corresponds to the current preset storage list within the preset storage time interval; if not, then dynamically update the preset storage list again according to the batch matched by the currently stored goods, and raise the batch sequence matched by the currently stored goods to the highest priority; A second scheduling module, configured to verify whether the stored goods matched by this batch are complete. If there is a shortage, send information about the missing goods to the spare inventory to find whether there are matching spare goods; if so, transport the spare goods to the matching optimal storage area according to the preset storage list.

[0115] The warehousing scheduling device based on RFID antenna self-feedback perception provided by this application adopts the warehousing scheduling method in the above embodiment, which can solve the technical problem of low efficiency in storing and transferring goods in the warehouse. Compared with the prior art, the beneficial effects of the intelligent warehousing scheduling device provided by this application are the same as those of the intelligent warehousing scheduling method provided by the above embodiment, and other technical features in the intelligent warehousing scheduling device are the same as the features disclosed in the above embodiment, which will not be elaborated here. At the same time, each module involved in this embodiment is a logical module. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units not closely related to solving the technical problems proposed by the present invention are not introduced in this embodiment, but this does not mean that there are no other units in this embodiment.

[0116] This application also provides a computer-readable storage medium, which stores a set of program instructions that can be read by a machine. When the set of program instructions stored in the medium is read and executed by the machine, the warehousing scheduling method based on RFID antenna self-feedback perception in the above specific embodiment can be implemented.

[0117] Among them, the computer-readable storage medium may include: read-only memory, random access memory, magnetic disk or optical disc, etc.

[0118] The present application also provides an electronic device, which includes a processor and a memory; a program instruction set is stored in the memory, and when the program instruction set stored in the memory is loaded and executed by the processor, the warehousing scheduling method based on RFID antenna self-feedback perception in the above embodiments can be implemented.

[0119] Among them, the memory and the processor are connected in a bus manner. The bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus may also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art. Therefore, they will not be further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be an element or multiple elements, such as multiple receivers and transmitters, and provides a unit for communicating with various other devices on the transmission medium.

[0120] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management, and other control functions. The memory can be used to store data used by the processor when performing operations.

[0121] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A warehousing scheduling method based on RFID antenna self-feedback perception, characterized in that The method includes: Using an RFID antenna to transmit a radio frequency signal to read the label information of the goods to be stored, and determining whether there is a matching preset storage list for the label information; wherein, the preset storage list refers to a list of goods to be stored obtained in advance, and the goods to be stored are goods that need to be stored within a preset storage time interval; If the label information is stored in the preset storage list, then transport the goods to be stored matching the preset storage list to the best storage area, where the best storage area is calculated according to the preset storage list in combination with a storage area planning model.

2. The warehousing scheduling method based on RFID antenna self-feedback perception according to claim 1, wherein Before the step of transporting the goods to be stored matching the preset storage list to the best storage area, it includes: Read the preset storage list to determine the preset storage time interval and the goods to be stored; Using a storage area planning model, calculate the best shipping area that matches within the preset transfer time interval; Dynamically schedule the goods to be stored to the best storage area closest to the best shipping area.

3. The warehousing scheduling method based on RFID antenna self-feedback perception according to claim 2, wherein The step of using a storage area planning model to calculate the best shipping area that matches within the preset transfer time interval includes: Obtain the real-time label information of the goods to be stored, and the label information includes the goods batch code, serial number code, basic goods data, logistics data, storage environment data, and transportation condition data; Using the preset storage list of the goods to be stored obtained in advance, calculate the theoretical storage distribution information that matches the goods to be stored within the preset storage time interval; Import the theoretical storage distribution information and the real-time label information of the goods to be stored into the best storage area planning model to calculate the actual storage distribution information that matches within the preset storage time interval; According to the actual storage distribution information, combined with the queuing time of each shipping area in the warehouse obtained in real time, calculate the best shipping area that matches within the preset transfer time interval.

4. The warehousing scheduling method based on RFID antenna self-feedback perception according to claim 3, characterized in that, The step of dynamically scheduling the goods to be stored to the best storage area closest to the best shipping area includes: Read the label information of the goods to be stored; Obtain the queuing time and location information of the best shipping area in real time, and combined with the label information of the goods to be stored, match the candidate storage areas that meet the requirements; Calculate the transportation time of the goods to be stored from each candidate storage area to the best shipping area, and the queuing time of the best shipping area within the preset transfer time interval, and import the transportation time and the queuing time into the storage area planning model, and select the candidate storage area with the shortest overall time as the best storage area for the goods to be stored; Transport the goods to be stored to the best storage area.

5. The warehousing scheduling method based on RFID antenna self-feedback sensing according to claim 4, characterized in that, After the step of using a storage area planning model to calculate the best shipping area that matches within the preset transfer time interval, it includes: According to the currently stored goods identified by the RFID antenna, match whether it corresponds to the current preset storage list within the preset storage time interval; If not, then dynamically update the preset storage list again according to the batch matched by the current stored goods, and raise the batch sequence matched by the current stored goods to the highest priority; If so, match the current goods to be stored with a preset storage list, and determine whether the batch of matched goods to be stored is complete. If there is a shortage, send information about the missing goods to the backup inventory to check if there are matching backup goods. If there are, transport the backup goods to the best storage area that matches according to the preset storage list.

6. The warehousing scheduling method based on RFID antenna self-feedback sensing according to claim 5, characterized in that, After the step of transporting the goods to be stored to the best storage area, it includes: According to the logistics data, set up a transfer list and calculate the transportation time of the current goods to be transferred from the best storage area to each shipping area. Dynamically update the queuing time of each shipping area. Select the shipping area with the shortest sum of transportation time and queuing time as the actual shipping area.

7. A warehousing scheduling device adopting the warehousing scheduling method according to any one of claims 1-6, characterized in that, The device includes: An RFID antenna module, which is used to transmit radio frequency signals to the goods to be stored, receive the feedback information of the RFID tags on the goods to be stored, and use an RFID reader to identify the tag information. An identification module, which is used to obtain the tag information of the goods to be stored and verify whether the tag information is within the matching preset storage list. The preset storage list refers to the list of goods to be stored obtained in advance, and the goods to be stored are the goods that need to be stored within a preset storage time interval. A planning module, which is used to transport the goods to be stored that match the tag information on the preset storage list to the best storage area. The best storage area is calculated according to the preset storage list in combination with a storage area planning model.

8. A computer-readable storage medium, characterized in that, This medium stores a set of program instructions that can be read by a machine. When the set of program instructions stored in this medium is read and executed by the machine, it can implement a warehousing scheduling method based on RFID antenna self-feedback perception according to any one of claims 1 to 6.

9. An electronic device, characterized in that: This device includes a processor and a memory. The memory stores a set of program instructions. When the set of program instructions stored in the memory is loaded and executed by the processor, it can implement a warehousing scheduling device based on RFID antenna self-feedback perception according to claim 7.

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