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

Abstract

The present application discloses a warehouse scheduling method, device, medium and equipment based on RFID antenna self-feedback perception, which belongs to the field of warehouse scheduling technology. The warehouse scheduling method includes: using an RFID antenna to transmit a radio frequency signal to read the tag information of the goods to be stored, and judging whether there is a matching preset storage list for the tag information; if the tag 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, wherein the optimal storage area is calculated based on the preset storage list combined with the storage area planning model. The present application can obtain the goods that are about to be stored in advance, and then can quickly plan the storage area based on the existing storage space in the warehouse. When the goods arrive at the warehouse, they can be stored according to the planned storage area, which greatly improves the warehouse's warehousing efficiency.

Description

Technical Field

[0001] The present application relates to the field of warehouse scheduling technology, and in particular to a warehouse scheduling method, device, medium and equipment based on RFID antenna self-feedback perception. Background Art

[0002] Warehouse cargo scheduling involves two main tasks: storing the goods, and removing and circulating the goods. Conventional warehouse storage requires manual inspection of goods, followed by labeling and barcode affixing. Label information is then manually entered into the system to collect incoming goods information. Finally, handling equipment is used to transport the goods to the corresponding storage location. When shipment is required, the system queries the goods' information to locate the location, scans the barcode to confirm, and then uses handling equipment to remove the goods. Finally, the corresponding inventory information is updated within the system. This method of storing and circulating goods is inefficient. When the quantity of goods is large and storage and circulation are performed simultaneously, recording errors and confusion can easily occur. Improving the storage and circulation efficiency of warehouse scheduling is an urgent issue that needs to be addressed. Summary of the Invention

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

[0004] To solve the above problems, this application adopts the following technical solutions:

[0005] In a first aspect, the present application proposes a warehouse scheduling method based on RFID antenna self-feedback sensing, the method comprising:

[0006] The RFID antenna transmits radio frequency signals to read the tag information of the goods to be stored, and determines whether the tag information matches a preset storage list; 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;

[0007] If the tag information is stored in the preset storage list, the goods to be stored that match the preset storage list are transported to an optimal storage area, wherein the optimal storage area is calculated based on the preset storage list combined with a storage area planning model.

[0008] To optimize the above technical solutions, specific measures taken also include:

[0009] Furthermore, before the step of transporting the goods to be stored that match the preset storage list to the optimal storage area, the step includes:

[0010] Read the preset storage list to determine the preset storage time interval and the goods to be stored;

[0011] Use the storage area planning model to calculate the best shipping area within the preset flow time interval;

[0012] Dynamically dispatch the goods to be stored to the optimal storage area closest to the optimal shipping area.

[0013] Furthermore, the step of calculating the optimal shipping area matching the preset flow time interval using the storage area planning model includes:

[0014] Obtain real-time label information of goods to be stored, including batch code, serial number, basic data of goods, logistics data, storage environment data and transportation condition data;

[0015] Using the pre-acquired preset storage list of goods to be stored, calculating theoretical storage distribution information matching the goods to be stored within the preset storage time interval;

[0016] Importing the theoretical storage distribution information and the real-time label information of the goods to be stored into the optimal storage area planning model, and calculating the actual storage distribution information matching the preset storage time interval;

[0017] Based on the actual storage distribution information and the real-time queue time of each shipping area in the warehouse, the optimal shipping area matching the preset flow time interval is calculated.

[0018] Furthermore, the step of dynamically dispatching the goods to be stored to the optimal storage area closest to the optimal shipping area includes:

[0019] Reading the label information of the goods to be stored;

[0020] Obtain the queue time and location information of the best shipping area in real time, and match the selected storage area that meets the requirements based on the label information of the goods to be stored;

[0021] Calculating 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 flow time interval, importing the transportation time and queuing time into the storage area planning model, and selecting the candidate storage area with the shortest overall time as the optimal storage area for the goods to be stored;

[0022] Transport the goods to be stored to the optimal storage area.

[0023] Furthermore, after the step of calculating the optimal shipping area matching the preset flow time interval using the storage area planning model, the following steps are included:

[0024] According to the current goods to be stored identified by the RFID antenna, match whether the preset storage time interval corresponds to the current preset storage list;

[0025] If not, the preset storage list is dynamically updated again according to the batches that the current goods to be stored match, and the batch sequence that the current goods to be stored match is raised to the highest priority;

[0026] If so, the current goods to be stored will be matched with the preset storage list, and it will be determined whether the batch of matching goods to be stored is complete. If missing, the information about the missing goods will be sent to the spare inventory to find out whether there are matching spare goods; if so, the spare goods will be transported to the best matching storage area according to the preset storage list.

[0027] Furthermore, after the step of transporting the goods to be stored to the optimal storage area, the following steps are included:

[0028] Calculate the transportation time of the current goods to be circulated from the best storage area to the best shipping area, and from the best storage area to other shipping areas;

[0029] Dynamically update the best shipping area and the queue time of other shipping areas;

[0030] The shipping area with the shortest sum of transportation time and queue time is selected as the actual shipping area.

[0031] In a second aspect, the present application further provides a warehousing scheduling device based on RFID antenna self-feedback sensing, the device comprising:

[0032] RFID antenna module, used to transmit radio frequency signals to the goods to be stored, receive feedback information from the RFID tags on the goods to be stored, and use the RFID reader to identify the tag information;

[0033] an identification module, configured to obtain label information of goods to be stored and verify whether the label information is in a matching preset storage list, 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;

[0034] The planning module is used to transport the goods to be stored whose label information is stored in the preset storage list and matches the goods to be stored to the optimal storage area, wherein the optimal storage area is calculated based on the preset storage list and the storage area planning model.

[0035] On the third aspect, the present application also provides a computer-readable storage medium, which stores a program instruction set that can be read by a machine. When the program instruction set stored in the medium is read and executed by a machine, it can implement the above-mentioned warehouse scheduling method based on RFID antenna self-feedback perception.

[0036] In a fourth aspect, the present application also provides an electronic device comprising 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, a warehouse scheduling device based on RFID antenna self-feedback perception can be implemented.

[0037] Beneficial effects of this application:

[0038] This application uses an RFID antenna to transmit a radio frequency signal to read the tag information of the goods to be stored, and determines whether there is a matching preset storage list for the tag information; if the tag 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, wherein the optimal storage area is calculated based on the preset storage list combined with the storage area planning model. Through the above method, this application pre-acquires the goods that will need to be stored, and then can quickly plan the storage area based on the existing storage space in the warehouse. When the goods arrive at the warehouse, they can be stored according to the planned storage area, which greatly improves the warehouse's warehousing efficiency, and eliminates the need for manual search and positioning of the goods to be circulated when shipping. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the warehouse scheduling method based on RFID antenna self-feedback perception of this application;

[0040] Figure 2 This is a schematic diagram of the module structure of the warehouse scheduling method of this application;

[0041] Figure 3 This is a schematic diagram of the warehouse structure distribution in this application;

[0042] Figure 4 This is a schematic diagram of the module structure of the storage scheduling device of this application;

[0043] Figure 5 This is a flow chart of RFID tag reading and identification in this application. DETAILED DESCRIPTION

[0044] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that in the embodiments of the present invention, many technical details are provided to help readers better understand the present application, but even without these technical details and various changes and modifications based on the following embodiments, the technical solutions to be protected by the present application can be achieved.

[0045] The main solutions of the embodiments of this application are:

[0046] The RFID antenna transmits radio frequency signals to collect tag information of goods to be stored in the identification area at the warehouse entrance, and determines whether the tag information is in a matching preset storage list. If the tag information is 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 combined with the storage area planning model.

[0047] Warehouse scheduling generally includes two aspects: storage and circulation of goods. In conventional technology, warehouse scheduling often involves manual verification and inventory of stored goods, entry into the system, selection of storage locations, statistical classification of circulating goods, and re-counting of quantities. In large-scale warehouse scheduling, a large amount of manpower and material resources are often required to cooperate with each other. In addition, the storage or circulation of large quantities of goods often takes a lot of time, resulting in low storage and circulation efficiency.

[0048] This application provides a solution: by deploying RFID antennas and RFID readers at the warehouse entrance, interior, and shipping areas, the RFID antennas can cover all internal storage areas, entrances, and shipping areas of the warehouse. The RFID readers can read the radio frequency signals received by the RFID antennas and, by identifying the tag information of the goods (which is stored when the goods leave the factory), perform corresponding storage allocation and related circulation requirements, thereby planning the optimal storage area and circulation path, thereby improving the efficiency of warehouse scheduling management. Specifically, the information management system first uses the RFID reader / writer installed at the warehouse entrance to read the tag information of the goods to be stored, combines 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 reader / writer inside the warehouse to obtain the current warehouse storage goods information in real time, match the logistics data request, screen the appropriate stored goods for circulation, and select the optimal shipping area for shipment circulation based on the current queue time of multiple shipping areas in the warehouse. The RFID reader / writer installed in the shipping area is used to re-verify the goods, facilitating the subsequent update of relevant information in the information management system. By using RFID antennas in combination with tags on goods, intelligent perception and feedback can be achieved, ultimately achieving high efficiency and intelligence in warehouse scheduling in all aspects.

[0049] Reference Figure 1 The embodiment of the present application provides a warehouse scheduling method based on RFID antenna self-feedback perception. Figure 1 This is a flow chart of the warehouse scheduling method based on RFID antenna self-feedback perception of this application.

[0050] The present application provides a warehouse scheduling method based on RFID antenna self-feedback sensing, comprising the following steps:

[0051] Step S1: Use the RFID antenna to transmit radio frequency signals to read the tag information of the goods to be stored in the identification area at the warehouse entrance, and determine whether the tag information matches the preset storage list.

[0052] It can be understood that label information refers to the identification information identified within the identification area that indicates the details of the goods, including the batch code, serial number, basic cargo data, logistics data, storage environment data, and transportation condition data. This information is used to plan the storage area for goods, ensuring proper storage and quick and efficient retrieval. Auxiliary data includes storage environment data and transportation condition data.

[0053] A pre-set storage list is a pre-collected list of goods to be stored within a pre-set storage period. This list typically includes the batch code, the quantity of goods in each batch, the numbering code, basic cargo data, logistics data, storage environment data, and storage area location planning data.

[0054] Among them, the identification area at the warehouse entrance refers to the RFID antenna and RFID reader / writer set at the entrance of the warehouse. The area that the RFID reader / writer can identify and cover is the identification area. When the goods to be stored are transported to the identification area, the RFID reader / writer can be used to read the tag information, which can realize efficient identification of the goods to be stored.

[0055] It is understandable that the information management system obtains the storage tasks of the identification area at the warehouse entrance in advance and forms a preset storage list, and the storage time interval is 8:00-9:00 in the morning of the same day.

[0056] When 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 a query will be made to see whether the batch of goods is in the preset storage list. After the match is confirmed, the storage task matching the goods to be stored will be raised to the highest priority.

[0057] The identification area at the warehouse entrance can perform preliminary identification and classification of goods, facilitating the subsequent storage of goods to be stored. RFID readers are usually used in conjunction with automated robots to achieve automatic identification, classification and transportation of goods to be stored.

[0058] It can be understood that: based on the basic data of the goods to be stored, logistics data, and storage environment data, preliminary identification and classification are performed in the identification area at the warehouse entrance. Goods of the same type and with the same logistics data are classified and stored together. The same type means that the storage and transportation conditions of the goods are the same.

[0059] When goods arrive at the identification area, the RFID reader reads the tags on the goods, obtains matching tag information, and then compares it with the preset storage list. Once the match is confirmed, it is confirmed that the goods are matched to the preset storage list, and the storage task of this batch of matching goods is raised to the highest priority.

[0060] Step S2: If the tag 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, wherein the optimal storage area is calculated based on the preset storage list combined with the storage area planning model.

[0061] It can be understood that the optimal storage area is the most suitable storage area calculated based on the real-time storage distribution within the warehouse and the basic cargo data, logistics data, and storage environment data of the current pending goods, to facilitate subsequent logistics flow. The location with the highest retrieval efficiency is generally selected to reduce waiting times for retrieval and shipment. Pending goods refer to goods that are received in advance by the information management system and require storage within a specified time period. These goods are linked to a matching preset storage list and include batch codes, number codes, basic cargo data, logistics data, storage environment data, and transportation condition data. The storage area planning model is a computational model based on data analysis that is used to analyze and plan the optimal storage area for pending goods. This model uses queue times for stored goods, pending goods, and shipping areas within the warehouse and dynamically updates them to improve planning accuracy.

[0062] It is understandable that the information management system obtains the storage tasks of the identification area at the warehouse entrance in advance and forms a preset storage list, and the storage time interval is 8:00-9:00 in the morning of the same day.

[0063] When 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 a query will be made to see whether the batch of goods is in the preset storage list. After the match is confirmed, the storage task matching the goods to be stored will be raised to the highest priority.

[0064] The identification area can perform preliminary identification and classification of goods, facilitating subsequent storage of goods to be stored. RFID readers are usually used in conjunction with automated robots to achieve automatic identification, classification and transportation of goods to be stored.

[0065] It can be understood that: based on the basic cargo data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are performed in the identification area, and goods of the same type and with the same next-stop logistics location are uniformly classified and stored. The same type means that the storage conditions and transportation conditions of the goods are the same. The same logistics data refers to the same logistics data when there are the same routes between multiple locations. For example, Class I goods have three destinations, A, B, and C, and the transportation route passes through A, B, and C in sequence. At this time, it can be considered that the logistics data of A, B, and C are the same, and they can be uniformly loaded, transported, and delivered.

[0066] When goods arrive at the identification area, the RFID reader reads the tags on the goods, obtains matching tag information, and then compares it with the preset storage list. Once the match is confirmed, it is confirmed that the goods are matched to the preset storage list, and the storage task of this batch of matching goods is raised to the highest priority.

[0067] The information management system uses real-time label information from warehouse entrances to identify goods waiting to be stored within the area. Combined with a pre-set storage list, a pre-set storage area planning model, and the goods' logistics data, the information management system calculates the optimal storage area for the goods. The information management system dispatches the goods from the warehouse entrance to the optimal storage area with the shortest distance to the shipping area within a specified time period, and uses automated robots to transport the goods to the optimal storage area.

[0068] The information management system forms a dynamically updated circulation list based on the goods stored in the warehouse and the matching logistics data. It conducts sequential verification based on the circulation list and removes and loads the stored goods that meet the circulation requirements.

[0069] It can be understood that the flow list is a shipping sequence formed by the logistics data of each stored goods according to time, location, transportation conditions, etc., and its sorting is based on time series. It includes not only the logistics data of goods to be stored, but also the logistics data of goods already stored.

[0070] During sequence verification, each item is checked one by one in the order listed on the transfer list. The verification content includes the number code, logistics data, basic data of stored goods, transportation conditions data, etc. This ensures that the goods to be transferred are accurately identified and improves the overall flow efficiency.

[0071] Before the step of transporting the goods to be stored that match the preset storage list to the optimal storage area, the following steps are included:

[0072] Read the preset storage list to determine the preset storage time interval and the goods to be stored;

[0073] Use the storage area planning model to calculate the best shipping area within the preset flow time interval;

[0074] Dynamically dispatch goods to be stored to the best storage area closest to the best shipping area.

[0075] It can be understood that the preset circulation time interval is selected based on the preset logistics distribution time interval. Generally, the time required for loading is formulated based on the overall time of logistics distribution, so as to ensure that the goods are delivered to the target location within the set time.

[0076] The best shipping area refers to selecting one or more exits from the multiple exits of the warehouse as the shipping area for the goods, and the time taken for the stored goods to be transported to the shipping area for circulation is the shortest.

[0077] The optimal storage area is used to store matching goods to be stored. The 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 circulated.

[0078] It is understandable that the information management system obtains the storage tasks of the identification area at the warehouse entrance in advance and forms a preset storage list, and the storage time interval is 8:00-9:00 in the morning.

[0079] When 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 a query will be made to see whether the batch of goods is in the preset storage list. After the match is confirmed, the storage task matching the goods to be stored will be raised to the highest priority.

[0080] The identification area can perform preliminary identification and classification of goods, facilitating the subsequent storage of goods to be stored. RFID readers are usually used in conjunction with automated robots to achieve automatic identification and classification of goods to be stored.

[0081] It can be understood that: based on the basic data of the goods to be stored, logistics data, and storage environment data, preliminary identification and classification are performed in the identification area, and goods of the same type and with the same next-stop logistics location are classified and stored together. The same type means that the storage and transportation conditions of the goods are the same.

[0082] When goods arrive at the identification area, the RFID reader reads the tags on the goods, obtains matching tag information, and then compares it with the preset storage list. Once the match is confirmed, it is confirmed that the goods are matched to the preset storage list, and the storage task of this batch of matching goods is raised to the highest priority.

[0083] First, the information management system identifies the preset storage time interval of 8:00-9:00 based on the pre-set storage list and ensures that this matches the label information of the goods to be stored. Then, based on the pre-set storage area planning model and the queue times of each shipping area in the current warehouse, the information management system plans the optimal shipping area for the goods to be stored that will be transferred within the corresponding transfer time interval. For example, if the transfer time interval is 7:00-20:00, the goods that need to be transferred within this time period will be dispatched to the optimal shipping area.

[0084] The information management system dynamically dispatches pending goods to the optimal storage area closest to the optimal shipping area. RFID readers then identify the goods' tags, extract the logistics data from the tags, and match them to a suitable storage area. The information management system also considers the current queue times for each shipping area and the distances between the shipping area and each candidate storage area. The optimal storage area is then selected based on the queue times and distances. Finally, the information management system uses automated robots to transport the pending goods to the optimal storage area.

[0085] After the goods are transported to the optimal storage area, the information management system creates a transfer list based on the logistics data of all goods currently stored in the warehouse. Combined with relevant information about logistics equipment, such as capacity, transportation time, and storage conditions, all goods matching the batch on the transfer list are loaded and transported. This ensures precise matching and significantly shortens logistics turnover time.

[0086] The information management system analyzes the flow list to determine the logistics flow time interval and the goods to be circulated. Combined with the storage area planning model, it then dynamically dispatches the goods to the optimal matching shipping area, ensuring efficient flow of the goods. During loading, all goods in the same batch are loaded onto one or more logistics equipment based on the relevant conditions of the equipment.

[0087] The steps of calculating the optimal shipping area matching the preset storage time interval using the storage area planning model include:

[0088] Obtain real-time label information of goods to be stored, including batch code, serial number, basic data of goods, logistics data, storage environment data and transportation condition data;

[0089] Using the pre-acquired preset storage list of goods to be stored, calculate the theoretical storage distribution information matching the goods to be stored within the preset storage time interval;

[0090] Import theoretical storage distribution information and real-time label information of goods to be stored into the optimal storage area planning model to calculate the actual storage distribution information that matches the preset storage time interval;

[0091] Based on the actual storage distribution information and the real-time queue time of each shipping area in the warehouse, the optimal shipping area matching the preset flow time interval is calculated.

[0092] It should be noted that the real-time label information of the goods to be stored refers to the information of the goods to be stored that is identified in real time in the identification area at the warehouse entrance.

[0093] 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 real-time label information of the goods to be stored to verify the quantity of goods that need to be stored in the identification area within the corresponding time period, so as to provide a storage area planning basis for the storage area planning model.

[0094] The label information of real-time goods to be stored includes the quantity information of the goods to be stored, that is, the quantity information of the goods to be stored actually collected within the corresponding time period. This information can be used for subsequent dynamic storage area planning calculations for matching. This data may have errors compared with the goods received in advance for the corresponding time period.

[0095] For example, the information management system received three batches of goods between 6 and 8 p.m., but in reality, due to various objective reasons, only two batches of goods were received between 6 and 8 p.m.; or originally three batches of goods were received between 6 and 8 p.m., but in reality, the goods delayed in the previous time period also arrived during this time period, resulting in four batches of goods; or the quantity of goods in a single batch should be 50 boxes, but 49 or 51 boxes were actually received. In this case, dynamic storage area planning calculations need to be performed based on the actual quantity of matching goods.

[0096] The identification area at the warehouse entrance can perform preliminary identification and classification of goods to be stored, facilitating their subsequent storage. RFID readers are usually used in conjunction with automated robots to achieve automatic identification, classification, and transportation of goods.

[0097] It can be understood that preliminary identification and classification is performed in the identification area at the warehouse entrance based on the basic cargo data, logistics data, and storage environment data of the goods to be stored. Goods of the same type and with the same logistics data are then classified and stored together. The same type means that the storage and transportation conditions of the goods to be stored are the same. The same logistics data refers to the same routes between multiple locations.

[0098] When a shipment arrives at the identification area, the RFID reader reads the tag, obtains matching information, and then compares it with the pre-set storage list. Once a match is found, the shipment is confirmed to have a matching pre-set storage list, and the matching storage task for the shipment is elevated to the highest priority.

[0099] The information management system uses the real-time tag information of the goods to be stored within the identified area to determine the preset storage time range and the matching logistics data with the goods to be stored. Then, based on the preset storage area planning model and the current queue times of each shipping area in the warehouse, the information management system calculates the optimal shipping area location for this batch of goods to be stored within the preset storage time range.

[0100] Theoretical storage distribution information and real-time tag information of goods waiting to be stored within the identified areas are input into the storage area planning model to calculate the actual storage distribution information. The storage area planning model, combined with the actual storage distribution information, calculates the distribution of goods waiting to be stored between 6:00 PM and 8:00 PM. Based on this calculation, combined with real-time queue times for each shipping area within the warehouse, the information management system determines the optimal shipping area location within the preset flow time interval, thereby improving the flow efficiency of goods.

[0101] The information management system dynamically dispatches pending goods to the optimal storage area closest to the optimal shipping area. RFID readers then identify the goods' tags, extract the logistics data from the tags, and match them to a suitable storage area. The system also considers the current queue time at the optimal shipping area and the distances between each shipping area and the candidate storage area. The optimal storage area is then selected based on the queue time and distance. Finally, the information management system uses automated robots to transport the pending goods to the optimal storage area.

[0102] After the goods are transported to the optimal storage area, the information management system creates a transfer list based on the logistics data of all goods currently stored in the warehouse. Combined with relevant information about logistics equipment, such as capacity, transportation time, and storage conditions, all goods matching the batch on the transfer list are loaded and transported. This ensures precise matching and significantly shortens logistics turnover time.

[0103] The information management system analyzes the flow list to determine the logistics flow time interval and the goods to be circulated. Combined with the storage area planning model, it then dynamically dispatches the goods to the optimal matching shipping area, ensuring the efficient flow of the goods. During loading, all the goods to be circulated in the same batch are loaded onto one or more logistics equipment according to the relevant conditions of the logistics equipment.

[0104] The steps for dynamically dispatching goods to be stored to the optimal storage area closest to the optimal shipping area include:

[0105] Read the label information of the goods to be stored;

[0106] Obtain the queue time and location information of the best shipping area in real time, and match it with the label information of the goods to be stored to the storage area that meets the requirements;

[0107] Calculate the transportation time from each candidate storage area to the optimal shipping area, as well as the queue time at the optimal shipping area within the preset flow time interval. Import the transportation time and queue 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.

[0108] Transport goods to be stored to the best storage area.

[0109] It is understood that the label information for goods to be stored includes basic cargo data, logistics data, storage environment data, and transportation condition data. Basic cargo data includes quantity information, i.e., the number of goods in a particular batch. Logistics data refers to the transportation location information for that batch of goods to be stored. Storage environment data includes the storage space and environment requirements for that batch of goods to be stored. Transportation condition data refers to the transportation requirements for a particular batch of goods, and is typically used to distinguish between regular goods and fragile goods.

[0110] The storage status of a warehouse refers to the information about the goods currently stored in the warehouse. It can represent the dynamic capacity information of the warehouse, and provide data basis for the subsequent allocation of storage locations for goods to be stored.

[0111] The storage area to be selected refers to the storage area that meets the conditions selected based on the storage requirements of the goods to be stored.

[0112] The best storage area refers to the storage area selected from the candidate storage areas with the shortest comprehensive time to reach the best shipping area, and is used to store the matching goods to be stored.

[0113] It's understandable that in the identification area at the warehouse entrance, RFID readers are used to identify RFID tags on goods to be stored and obtain relevant information about the goods to be stored. The information management system may receive three batches of goods between 6 and 8 p.m., but in reality, due to various objective reasons, only two batches of goods were received between 6 and 8 p.m.; or, perhaps, three batches of goods were originally expected between 6 and 8 p.m., but in reality, goods delayed from the previous time period also arrived during that time period, resulting in four batches of goods; or perhaps a single batch of goods should have 50 boxes, but 49 or 51 boxes were actually received. In this case, dynamic storage area planning calculations need to be performed based on the actual number of matching goods.

[0114] The identification area at the warehouse entrance can perform preliminary identification and classification of goods to facilitate subsequent storage. RFID readers are usually used in conjunction with automated robots to achieve automatic identification and classification of goods.

[0115] It can be understood that: based on the basic cargo data, logistics data, and storage environment data of the goods to be stored, preliminary identification and classification are performed in the identification area at the warehouse entrance. Goods of the same type and with the same logistics data are then classified and stored together. The same type means that the storage and transportation conditions of the goods to be stored are the same. The same logistics data refers to the same route between multiple locations.

[0116] When a shipment arrives at the identification area, the RFID reader reads the tag, obtains matching information, and then compares it with the pre-set storage list. Once a match is found, the shipment is confirmed to have a matching pre-set storage list, and the matching storage task for the shipment is elevated to the highest priority.

[0117] The information management system analyzes the preset storage list and determines whether the preset storage time interval is 6:00 PM to 8:00 PM and whether the items to be stored match the preset storage list. The information management system then uses an RFID reader to read the tags of the items to be stored and obtain the item's identity verification information. For example, the identification area reads the item's size, storage conditions, and highest priority identification.

[0118] 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. Based on the quantity information, logistics data, storage environment data, and transportation condition data from the identified tags of the goods to be stored, the information management system selects candidate storage areas that meet the requirements. Suppose the information management system selects two candidate storage areas whose remaining storage space and storage environment data both meet the storage requirements of the goods to be stored.

[0119] Then, the information management system will combine the location of the best shipping area to determine 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 corresponding best shipping area have the shortest queue time, which only takes 30 minutes, while the time to another candidate storage area is 50 minutes.

[0120] The information management system selects the candidate storage area with the shortest travel time to the optimal shipping area as the optimal storage area for the pending goods and uses automated robots to transport the pending goods to the optimal storage area. The automated robots, along with pre-defined transport routes, transport the pending goods from the warehouse entrance identification area to the optimal storage area, ensuring that the pending goods are delivered to the designated location and loaded onto trucks in the shortest possible time.

[0121] After the goods are transported to the optimal storage area, the information management system creates a transfer list based on the logistics data of all goods currently stored in the warehouse. Combined with relevant information about logistics equipment, such as capacity, transportation time, and storage conditions, all goods matching the batch on the transfer list are loaded and transported. This ensures precise matching and significantly shortens logistics turnover time.

[0122] The information management system collects the tag information of the goods to be stored, as identified by the RFID reader, evaluates the storage information of each candidate storage area in real time, selects the candidate areas that meet the requirements, and selects the optimal storage area for the goods to be stored. This method speeds up the classification and storage efficiency of the goods to be stored, and also improves the subsequent circulation efficiency of the goods to be stored.

[0123] It is understandable that the warehouse is divided into several different types of storage areas and multiple shipping areas. The storage environment of the storage area is set according to different storage requirements, and each storage area corresponds to several shipping areas. The different storage requirements refer to the type of goods to be stored, temperature, light, dryness, stackability, ventilation, etc. Figure 3 , it can be divided into room temperature storage and low temperature storage according to the temperature requirements of the goods to be stored.

[0124] Please refer to Figure 3 The goods to be stored in the normal temperature storage area do not have special temperature requirements, and can be stored in a storage area with general environmental conditions. The goods to be stored in the low temperature storage area need to set relevant storage conditions and choose a matching storage area with adjustable temperature for storage.

[0125] The system obtains the storage capacity of each candidate storage area in the identification area in real time, including the label information of the goods currently stored in each candidate storage area. It extracts the basic data of the goods, storage environment data and logistics data from the label information, and combines the label information of the goods to be stored to match the candidate shipping area that meets the requirements. Finally, the information management system uses automated robots to transport the goods to be stored to the best matching shipping area.

[0126] Based on the optimal shipping area's location, the optimal storage area with the shortest travel time from a list of matching storage areas is selected as the optimal storage area for the goods to be stored. Automated robots, along with pre-defined transport routes, transport the goods from the identification area to the optimal matching storage area, ensuring they arrive efficiently and accurately at the designated location.

[0127] The method of storing the matching goods to be stored in combination with the location of the optimal shipping area includes but is not limited to selecting the candidate storage area with the shortest time as the optimal storage area. The shortest time means that the sum of the transportation time and the waiting queue time is the shortest.

[0128] In this embodiment, by setting a dynamic correspondence between the optimal shipping area and the optimal storage area, combined with the warehouse's storage status and dynamic scheduling mechanism, it is ensured that bulk goods arriving for storage can be stored in the matching optimal storage area as quickly as possible, facilitating subsequent efficient and rapid circulation based on logistics data. Specifically, the identification area selects different optimal shipping areas based on the basic data of the goods to be stored, storage environment data, transportation conditions data, logistics data, and other related information. Each optimal shipping area is matched with several optimal storage areas, and the locations of the several optimal storage areas are different. At the same time, the space of the storage shelves within 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 while 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 goods to be stored that require low temperature storage, the storage time, storage temperature required, size and quantity of the goods to be stored, etc. are calculated based on the delivery time of the goods to be stored, and the appropriate area within the optimal storage area is selected for storage. In this way, the goods to be stored in the identification area at the warehouse entrance can be quickly classified and stored efficiently, ensuring that the goods to be stored will not accumulate at the warehouse entrance.

[0129] The steps of calculating the optimal shipping area within a preset flow time interval using the storage area planning model include:

[0130] According to the current goods to be stored identified by the RFID antenna, match whether the preset storage time interval corresponds to the current preset storage list;

[0131] If not, the preset storage list is dynamically updated again according to the batches that the current goods to be stored match, and the batch sequence that the current goods to be stored match is raised to the highest priority;

[0132] If so, the current goods to be stored will be matched with the preset storage list, and it will be determined whether the batch of matching goods to be stored is complete. If missing, the information about the missing goods will be sent to the spare inventory to find out whether there are matching spare goods; if so, the spare goods will be transported to the best matching storage area according to the preset storage list.

[0133] It can be understood that a preset storage list refers to a list of multiple batches of goods to be stored, sorted by their preset arrival times. A batch of goods to be stored refers to the different batches of goods to be stored, sorted by their arrival time periods according to the preset storage list. Spare inventory refers to goods stored in the current warehouse without any associated flow information.

[0134] It can be understood that when a batch of goods to be stored arrives at the identification area, the RFID reader identifies the matching RFID tag of the goods to be stored. The information management system then matches the RFID tag to the batch of goods to be stored. After matching, the batch sorting is updated, and the matching batch of goods to be stored is promoted to the highest priority. Correspondingly, all goods to be stored that match the batch are given the highest priority during identification. The goods to be stored in each batch are then identified, sorted, and stored one by one. The number of goods read is guaranteed to match the preset storage list.

[0135] The information management system collects the read RFID tag information and matches it against the preset storage list. The system then prioritizes the items to be stored, first checking to see if they match the preset storage list. If there is a discrepancy, the system then retrieves the backup inventory information to see if there is any matching item. If so, the backup item is retrieved and transferred to the optimal matching storage area. For example, if the current batch of goods to be stored consists of 50 boxes of medical devices, and the preset storage list also matches 50 boxes, but only 49 boxes are actually identified through RFID tags, the system will query the backup inventory to see if there is any matching item. If so, the box of medical devices is directly transferred to the optimal matching storage area.

[0136] The information management system obtains the storage capacity of each candidate storage area within the identified area in real time, including the remaining storage space and storage environment data. Based on the basic cargo data, storage environment data, and transportation condition data contained in the identified cargo labels, the information management system selects candidate storage areas that meet the requirements. For example, the information management system identifies two candidate storage areas whose remaining storage space and storage environment data both meet the requirements for the cargo.

[0137] Then, the information management system will combine the location of the best shipping area to determine the time it takes for each candidate storage area to reach the best shipping area. Through time judgment, the information management system finds that the time from one candidate storage area to the best shipping area and the waiting time in queue are the shortest, only 30 minutes, while the time to another candidate storage area is 50 minutes.

[0138] The information management system selects the candidate storage area with the shortest travel time to the optimal shipping area as the optimal storage area for the pending goods and uses automated robots to transport the pending goods to the optimal storage area. Logistics equipment, combined with pre-defined transport routes, transports the pending goods from the warehouse entrance identification area to the optimal storage area, ensuring that the pending goods are delivered to the designated location in the shortest possible time.

[0139] When the goods to be stored have been stored in the optimal storage area, the information management system generates a flow list based on the logistics data and sorts them in chronological order. Then, the goods are circulated using the matching logistics equipment.

[0140] It can be understood that the information management system calculates the queuing time of multiple shipping areas, combines the logistics time, and selects the best shipping area that can meet the delivery within the logistics time period for circulation and transportation, thereby improving the circulation efficiency of goods.

[0141] Transporting the goods to be stored to the optimal storage area also includes:

[0142] Based on logistics data, set up a circulation list and calculate the transportation time of the current goods to be circulated from the best storage area to each shipping area;

[0143] Dynamically update the queue time for each shipping area;

[0144] The shipping area with the shortest sum of transportation time and queue time is selected as the actual shipping area.

[0145] It can be understood that each optimal storage area has a larger space and can store a larger number of goods, so each storage area has multiple shipping areas to facilitate improving shipping efficiency.

[0146] A transfer list is a batch-by-batch sort of goods to be transferred based on logistics data. This list also includes the estimated loading time for each batch of goods to be transferred. The transfer list is sorted based on the logistics data and estimated loading time for each batch, and is updated dynamically in real time. This includes both goods already in storage and goods that have just been stored.

[0147] 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 conveyor equipment.

[0148] Calculate the remaining loading time of the current batch. If the remaining loading time is lower than the set threshold, dynamically add matching automated robots to reduce the remaining loading time.

[0149] When replenishing automated robots, a matching number of automated robots are selected based on the transportation speed of the automated robots and the remaining goods to be circulated, so that the remaining loading time meets the set threshold requirements.

[0150] The actual shipping area may be inconsistent with the optimal shipping area. The above-mentioned optimal shipping area is calculated according to the set situation. However, in the actual process, the corresponding goods on the circulation list of the same batch may include goods that have been stored and goods that have just been stored. There may also be changes in logistics tasks, increase or decrease in goods to be circulated, and differences between estimated loading time and actual time, etc. Therefore, when finally selecting the actual shipping area, it is necessary to re-verify the queue time of each shipping area to determine the actual shipping area.

[0151] Please refer to Figure 2 and Figure 5 In order to facilitate understanding of the implementation process of the storage turnover method of the goods to be stored obtained by combining this embodiment with the above-mentioned embodiment 1, Figure 2 Provides a module structure diagram of the warehouse scheduling method. Figure 5 A flow chart of RFID tag reading and identification is provided, specifically:

[0152] The information management system presets storage tasks for the identification area, with the preset time interval being 8:00-9:00 am on the same day. When the goods to be stored arrive at the identification area, the RFID antenna transmits a radio frequency signal to identify the tag information of the goods to be stored. The tag information is then compared with the preset storage list to determine whether the batch of goods is on the preset storage list. After the information management system correctly matches, the following process is entered:

[0153] Analysis of the Pre-Set Storage List and Planning of the Optimal Storage Area: The information management system analyzes the current pre-set storage list, identifies the preset time period as 8:00 AM to 9:00 AM, and extracts the tag information of the goods to be stored. Using the pre-set storage area planning model, the RFID reader obtains real-time information on the number of goods to be stored within the identification area. Combined with the tag information of the goods already stored in each candidate storage area, the RFID reader calculates the optimal storage area for the goods to be stored during the 8:00 AM to 9:00 AM time period.

[0154] Dynamically dispatch goods to be stored to the optimal storage area: The information management system collects the tag information of goods to be stored identified by the RFID reader, and obtains the tag information of the goods to be stored. The tag information includes basic data of the goods, logistics data, storage environment data, etc. The preset storage list is matched according to the tag information to determine whether it corresponds to the goods to be stored within the time period. If not, the sequence of the batch list matching the goods to be stored is identified and raised to the highest priority. At the same time, the RFID reader collects the tag information of the stored goods in each storage area in real time, and matches the candidate storage area that meets the storage requirements of the goods to be stored. Based on the location of the optimal shipping area, the system calculates the distance from each candidate storage area to the optimal shipping area, and selects the candidate 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 automated robots.

[0155] Storage anomalies: If all the goods to be stored do not arrive at the identification area within the preset storage time interval (there are omissions), the information management system will locate the missing goods based on the batch list, and then check whether there are spare goods in the spare warehouse. If so, the spare goods will be retrieved and sent directly to the best matching storage area. If not, the missing information will be recorded, and the information management system will notify the replenishment, and the matching flow time of the batch of goods will be delayed until the goods are replenished.

[0156] Selection of shipping areas and cargo flow guidance: The information management system generates a flow list based on preset flow time intervals. Sequential verification is performed against the flow list, and goods meeting the flow requirements are removed and loaded for delivery. If the highest-priority batch of goods matching the flow list is not available, the next batch of goods to be picked up will be moved to the highest priority.

[0157] The system collects queue times for each shipping area in real time. Based on the queue times for each shipping area, the distance between the goods to be picked up and each shipping area, and the loading time, it calculates the shipping area with the shortest waiting time as the actual shipping area. Automated robots are then used to transport the corresponding batches of goods to be picked up from the optimal storage area to the actual shipping area. There, RFID readers are used to read the goods' tags for secondary verification and update the flow list. During actual shipment, the calculated optimal shipping area is the optimal shipping area under normal conditions. However, in practice, the flow list is constantly changing. For example, if a batch of goods needs to be expedited, the goods in the original batch need to be transferred earlier or later, or the original batch needs to have more or less goods, all of these situations will cause the calculated queue time for the optimal shipping area to change. Therefore, when the goods are finally shipped, the queue times for each shipping area need to be re-verified and the actual shipping area needs to be recalculated.

[0158] Through the above process, the warehousing scheduling method based on RFID antenna self-feedback perception of this application realizes efficient storage and circulation services, greatly improving the turnover efficiency of goods. At the same time, the information management system ensures the overall highest efficiency through real-time information analysis and dynamic updates.

[0159] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the warehouse scheduling method based on RFID antenna self-feedback perception of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0160] Please refer to Figure 4 The present application also provides a warehousing scheduling device based on RFID antenna self-feedback sensing, the warehousing scheduling device comprising:

[0161] The RFID antenna module 100 is used to transmit radio frequency signals to the goods to be stored, receive feedback information from the RFID tags on the goods to be stored, and identify the tag information using the RFID reader;

[0162] Identification module 200 is used to obtain label information of goods to be stored and verify whether the label information is in a matching preset storage list, wherein the preset storage list is 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;

[0163] The planning module 300 is used to transport the goods to be stored whose tag information matches the preset storage list to the optimal storage area, wherein the optimal storage area is calculated based on the preset storage list combined with the storage area planning model.

[0164] And / or, the storage scheduling device based on RFID antenna self-feedback perception includes:

[0165] 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;

[0166] The first planning module is used to calculate the optimal shipping area that matches the preset flow time interval by using the storage area planning model;

[0167] 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.

[0168] And / or, the first planning module includes:

[0169] The first identification module is used to obtain real-time label information of the goods to be stored, including the batch code, serial number, basic data of the goods, logistics data, storage environment data and transportation condition data;

[0170] The second analysis module is used to calculate theoretical storage distribution information matching the goods to be stored within a preset storage time interval using the preset storage list of the goods to be stored that has been obtained in advance;

[0171] The second planning module is used to import theoretical storage distribution information and real-time label information of goods to be stored into the optimal storage area planning model, calculate the actual storage distribution information that matches the preset storage time interval, and calculate the optimal shipping area that matches the preset circulation time interval based on the actual storage distribution information and the real-time queue time of each shipping area in the warehouse.

[0172] And / or, the first scheduling module includes:

[0173] The first reading module is used to read the label information of the goods to be stored;

[0174] The second recognition module is used to obtain the queue time and location information of the best shipping area in real time, and match it with the candidate storage area that meets the requirements based on the label information of the goods to be stored;

[0175] The first matching module is used to calculate the time it takes for the goods to be stored to travel from each candidate storage area to the optimal shipping area and the queuing time of 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;

[0176] The first scheduling module is used to transport the goods to be stored to the optimal storage area.

[0177] And / or, the storage scheduling device based on RFID antenna self-feedback perception includes:

[0178] The first verification module is used to check whether the current goods to be stored, identified by the RFID antenna, correspond to the current preset storage list within the preset storage time interval; if not, the preset storage list is dynamically updated again based on the batch matching the current goods to be stored, and the batch sequence matching the current goods to be stored is raised to the highest priority;

[0179] The second scheduling module is used to verify whether the matching goods to be stored in this batch are complete. If they are missing, the information about the missing goods will be sent to the spare inventory to check whether there are matching spare goods. If there are, the spare goods will be transported to the best matching storage area according to the preset storage list.

[0180] The warehousing scheduling device based on RFID antenna self-feedback perception provided by the present application adopts the warehousing scheduling method in the above embodiment to solve the technical problem of low efficiency in goods storage and circulation in warehouses. Compared with the prior art, the beneficial effects of the intelligent warehousing scheduling device provided by the present application are similar to the beneficial effects 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 repeated here. At the same time, the modules involved in this embodiment are all logical modules. In actual applications, a logical unit can be a physical unit, or a part of a physical unit, or it can be implemented as a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are 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 other units do not exist in this embodiment.

[0181] The present application also provides a computer-readable storage medium, which stores a program instruction set that can be read by a machine. When the program instruction set stored in the medium is read and executed by a machine, the warehouse scheduling method based on RFID antenna self-feedback perception in the above specific embodiment can be implemented.

[0182] The computer-readable storage medium may include a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0183] The present application also provides an electronic device, which includes a processor and a memory; the memory stores a program instruction set, and when the program instruction set stored in the memory is loaded and executed by the processor, the warehouse scheduling method based on RFID antenna self-feedback perception in the above embodiment can be implemented.

[0184] The memory and processor are connected using a bus, which can include any number of interconnected buses and bridges. The bus connects various circuits within one or more processors and the memory. The bus can also connect various other circuits, such as peripherals, voltage regulators, and power management circuits. These are well known in the art and are therefore not described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single component or multiple components, such as multiple receivers and transmitters, providing a means for communicating with various other devices over a transmission medium.

[0185] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0186] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A warehouse scheduling method based on RFID antenna self-feedback perception, characterized in that: The method comprises: The RFID antenna transmits radio frequency signals to read the tag information of the goods to be stored, and determines whether the tag information matches a preset storage list; 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 tag information is stored in the preset storage list, the goods to be stored that match the preset storage list are transported to an optimal storage area, wherein the optimal storage area is calculated based on the preset storage list and a storage area planning model; Before the step of transporting the goods to be stored that match the preset storage list to the optimal storage area, the method 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 within the preset flow time interval, specifically, Obtain real-time label information of goods to be stored, including batch code, serial number, basic data of goods, logistics data, storage environment data and transportation condition data; Using the pre-acquired preset storage list of goods to be stored, calculating theoretical storage distribution information matching the goods to be stored within the preset storage time interval; Importing the theoretical storage distribution information and the real-time label information of the goods to be stored into the optimal storage area planning model, and calculating the actual storage distribution information matching the preset storage time interval; Based on the actual storage distribution information and the real-time queue time of each shipping area in the warehouse, the optimal shipping area matching the preset flow time interval is calculated; Dynamically dispatch the goods to be stored to the optimal storage area closest to the optimal shipping area.

2. The warehouse scheduling method based on RFID antenna self-feedback perception according to claim 1 is characterized in that: The step of dynamically dispatching the goods to be stored to the optimal storage area closest to the optimal shipping area includes: Reading the label information of the goods to be stored; Obtain the queue time and location information of the best shipping area in real time, and match the selected storage area that meets the requirements based on the label information of the goods to be stored; Calculating 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 flow time interval, importing the transportation time and queuing time into the storage area planning model, and selecting 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.

3. The warehouse scheduling method based on RFID antenna self-feedback perception according to claim 2 is characterized in that: The steps of calculating the optimal shipping area within a preset flow time interval using the storage area planning model include: According to the current goods to be stored identified by the RFID antenna, match whether the preset storage time interval corresponds to the current preset storage list; If not, the preset storage list is dynamically updated again according to the batches that the current goods to be stored match, and the batch sequence that the current goods to be stored match is raised to the highest priority; If so, the current goods to be stored will be matched with the preset storage list, and it will be determined whether the batch of matching goods to be stored is complete. If missing, the information about the missing goods will be sent to the spare inventory to find out whether there are matching spare goods; if so, the spare goods will be transported to the best matching storage area according to the preset storage list.

4. The warehouse scheduling method based on RFID antenna self-feedback perception according to claim 3 is characterized in that: The step of transporting the goods to be stored to the optimal storage area includes: Based on logistics data, set up a circulation list and calculate the transportation time of the current goods to be circulated from the best storage area to each shipping area; Dynamically update the queue time for each shipping area; The shipping area with the shortest sum of transportation time and queue time is selected as the actual shipping area.

5. A storage scheduling device using the storage scheduling method according to any one of claims 1 to 4, characterized in that: The device comprises: RFID antenna module, used to transmit radio frequency signals to the goods to be stored, receive feedback information from the RFID tags on the goods to be stored, and use the RFID reader to identify the tag information; an identification module, configured to obtain label information of goods to be stored and verify whether the label information is in a matching preset storage list, 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; The planning module is used to transport the goods to be stored whose label information is stored in the preset storage list and matches the goods to be stored to the optimal storage area, wherein the optimal storage area is calculated based on the preset storage list and the storage area planning model.

6. A computer-readable storage medium, characterized in that The medium stores a program instruction set that can be read by a machine. When the program instruction set stored in the medium is read and executed by a machine, a warehouse scheduling method based on RFID antenna self-feedback perception according to any one of claims 1 to 4 can be implemented.

7. An electronic device, characterized in that: The device 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, a warehouse scheduling device based on RFID antenna self-feedback perception according to claim 5 can be implemented.

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