An RFID-based unattended warehouse processing system and method

Abstract

The application provides an RFID-based unmanned warehouse processing system and method, which, on the basis of realizing unmanned and self-service operation of material spare parts warehouse in combination with RFID technology, continues to obtain more delicate unmanned warehouse processing effect in related sub-application scenarios through a series of detailed optimization means, so as to efficiently and reasonably save labor cost, reduce the occurrence of related abnormal events and more humanly manage warehouse material spare parts, and provide good tool support for material spare part management work of manufacturing enterprises.

Description

Technical Field

[0001] This application relates to the field of warehouse material management, specifically to an RFID-based unmanned warehouse processing system and method. Background Technology

[0002] Manufacturing companies' materials and spare parts are characterized by high turnover frequency, large usage, and irregular requisition time. As for the management of warehouse materials, most of them still rely on warehouse managers for unified management.

[0003] The inventors of this application have discovered the following problems with existing warehouse material management methods during daily warehouse operations: 1. Information is not reported in a timely manner, and is time-consuming and labor-intensive; 2. Discrepancies between the accounts and the actual items were caused by incorrect or omitted items; 3. Material requisition at night: Because the warehouse is unattended at night, material requisition becomes difficult.

[0004] As manufacturing enterprises increasingly demand more refined management of materials and spare parts inventory and stricter cost control, there is an urgent need to improve the efficiency and level of materials and spare parts management through further intelligent and information-based means. Summary of the Invention

[0005] This application provides an RFID-based unmanned warehouse processing system and method. Building upon the existing unmanned warehouse operations and self-service staffing achieved through RFID technology, this system further optimizes the unmanned warehouse processing in specific application scenarios through a series of detailed optimizations. This approach efficiently and reasonably saves labor costs, reduces the occurrence of related anomalies, and provides more humane management of warehouse materials and spare parts, offering excellent tool support for the material and spare parts management of manufacturing enterprises.

[0006] Firstly, this application provides an RFID-based unmanned warehouse processing system. The system includes access control equipment deployed in the material and spare parts warehouse, which is equipped with a camera and an RFID reader. The system also includes RFID tags deployed on materials within the material and spare parts warehouse. In the scenario of materials leaving the warehouse, the system's operation includes the following processing: When people waiting to enter the warehouse are waiting at the access control equipment to apply for entry and pick up materials, their facial images are captured by a camera. The system checks whether there are any material release application information online that matches the facial image of the first registered user. If present, the access control system will allow personnel waiting to enter the warehouse to pass through; When the personnel waiting to enter the warehouse receive the goods to be shipped out and wait to leave the warehouse at the access control equipment, after facial verification, they continue to scan the RFID tag information of the goods to be shipped out through the RFID card reader deployed on the access control equipment, and check whether the RFID tag information of the goods to be shipped out matches the RFID tag information registered on the goods shipment application information. If a match is found, the access control device will allow entry and wait for the person to exit the warehouse.

[0007] Secondly, this application provides an RFID-based unmanned warehouse processing method. The method is applied to an unmanned warehouse processing system, which includes access control equipment deployed in a materials and spare parts warehouse. The access control equipment is equipped with a camera and an RFID reader. The system also includes RFID tags deployed on materials within the materials and spare parts warehouse. In a materials outbound scenario, the method includes: When people waiting to enter the warehouse are waiting at the access control equipment to apply for entry and pick up materials, their facial images are captured by a camera. The system checks whether there are any material release application information online that matches the facial image of the first registered user. If present, the access control system will allow personnel waiting to enter the warehouse to pass through; When the personnel waiting to enter the warehouse receive the goods to be shipped out and wait to leave the warehouse at the access control equipment, after facial verification, they continue to scan the RFID tag information of the goods to be shipped out through the RFID card reader deployed on the access control equipment, and check whether the RFID tag information of the goods to be shipped out matches the RFID tag information registered on the goods shipment application information. If a match is found, the access control device will allow entry and wait for the person to exit the warehouse.

[0008] Thirdly, this application provides a computer-readable storage medium storing a plurality of instructions adapted for loading by a processor to execute the method provided in the second aspect of this application.

[0009] From the above, it can be concluded that this application has the following beneficial effects: Under the goal of managing materials and spare parts, this application, based on the realization of unmanned operation and self-service operation of materials and spare parts warehouses by combining RFID technology, continues to achieve more refined unmanned warehouse processing results in relevant subdivided application scenarios through a series of detailed optimization methods. This can efficiently and reasonably save labor costs, reduce the occurrence of related abnormal events, and manage warehouse materials and spare parts in a more humane way, providing good tool support for the material and spare parts management of manufacturing enterprises. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of one scenario involving RFID communication in this application; Figure 2 This is a schematic diagram of a system architecture for an RFID-based unmanned warehouse processing system according to this application; Figure 3 This is a schematic diagram of an example of the system architecture of this application; Figure 4 This is a flowchart illustrating an RFID-based unmanned warehouse processing method according to this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0013] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules is not necessarily limited to those explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. The naming or numbering of steps appearing in this application does not imply that the steps in the method flow must be performed in the chronological / logical order indicated by the naming or numbering. The execution order of named or numbered process steps can be changed according to the desired technical purpose, as long as the same or similar technical effect is achieved.

[0014] The module division described in this application is a logical division. In practical applications, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual coupling, direct coupling, or communication connections may be through interfaces, and the indirect coupling or communication connections between modules may be electrical or other similar forms, none of which are limited in this application. Moreover, the modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed across multiple circuit modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in this application.

[0015] First, with the goal of better management of materials and spare parts, this application provides an RFID-based unmanned warehouse processing system. The system can mainly include access control equipment deployed in the materials and spare parts warehouse, which is equipped with cameras and RFID card readers. The system can also include RFID tags deployed on materials in the materials and spare parts warehouse.

[0016] RFID stands for Radio Frequency Identification. RFID technology itself is a relatively mature technology, a non-contact automatic identification technology that can identify specific targets and read and write relevant data through radio signals without requiring mechanical or optical contact between the identification system and the specific target. A complete RFID system consists of three parts: a reader, electronic tags, and application software.

[0017] In short, its working principle is that if an RFID tag receives a radio frequency signal from an RFID reader, it can use the energy obtained from the induced current to send out the product information stored in the chip or actively send a signal of a certain frequency. After the RFID reader reads and decodes the corresponding information, it sends it to the application software system for relevant data processing, thereby realizing various functions.

[0018] Among them, reference Figure 1 The diagram shown illustrates one scenario of RFID communication involved in this application. In specific applications, configuration work may also involve three aspects: data, timing, and energy.

[0019] Here you can also refer to Figure 2 The diagram shown is a system architecture schematic of the RFID-based unmanned warehouse processing system of this application. Figure 2It can be clearly seen that the access control equipment involved in this application can be access control integrated machines or other similar types of access control equipment. This allows for greater flexibility in terms of specific hardware and software structures, and can fulfill the basic requirement of this application to restrict the free entry and exit of personnel without permission / authorization.

[0020] Furthermore, it is understood that the data processing of the system in this application is usually performed by processing equipment deployed on-site or in the background. This processing equipment can be a server, a physical host, or other specific equipment with the required data processing capabilities. It is understood that the specific equipment type and deployment form are quite flexible, and this application does not impose too many restrictions.

[0021] Based on the aforementioned system hardware, in the scenario of material outbound processing, the system operation of this application may specifically include the following processing content: 1) When personnel waiting to enter the warehouse are waiting at the access control equipment to apply for entry and collect materials, their facial images are captured by a camera; Understandably, when it is necessary to go to the warehouse to pick up relevant supplies, in the case of an unmanned warehouse, one can wait at the access control equipment such as electromagnetic doors to automatically open the door for entry.

[0022] This involves facial recognition access control, which is implemented based on the current material release application. In this case, the personnel waiting to enter the warehouse can register or initiate a material release application in advance or in real time on the system to obtain the corresponding access control authorization, so that the system can perform the corresponding facial recognition verification to determine whether the access control can be opened.

[0023] In response, people waiting to enter the warehouse can stand in front of the camera, for example, by bringing their heads close to the front of the face recognition panel or by looking up at the hanging camera, so that the camera can capture their facial images. These facial images can be either pictures or videos. The specific type of camera and the required posture of the person can be adapted to the actual situation.

[0024] 2) Detect whether there is a material release application information online that matches the first registered user's facial image; Understandably, after obtaining the facial image of the person currently waiting to enter the warehouse, it is possible to check whether there is corresponding material release application information on the system. The material release application information can either directly include the corresponding facial image of the first registered user who registered to enter the warehouse to receive materials (a prefix has been added to distinguish the personnel in different situations, and the same applies to subsequent ones), or it can only register the personnel identifier of the first registered user who registered to enter the warehouse to receive materials, and then extract the corresponding facial image from the relevant online system of the enterprise based on the personnel identifier.

[0025] If a material release application is detected that matches the facial image of the first registered user, it obviously means that the person currently waiting to enter the warehouse is the first registered user with access control authorization for the current material release application, and can then be allowed to pass.

[0026] Conversely, if no material release application information matching the first registered user's facial image is detected, the material will not be released, and an on-site warning can be issued (which may involve specific warning methods such as light warning, sound and light warning, etc.), or a warning can be issued to the management personnel.

[0027] like Figure 2 As shown, the materials and spare parts warehouse can be equipped with offices for management personnel, or offices for management personnel to provide anomaly response and other management work for the materials and spare parts warehouse can be set up next to the materials and spare parts warehouse or in other places.

[0028] 3) If present, the access control equipment will allow personnel waiting to enter the warehouse to pass through; As described above, when a material release application is detected that matches the facial image of the first registered user, the waiting personnel can be allowed to enter the material and spare parts warehouse according to the specific release method of the access control equipment.

[0029] 4) When the personnel waiting to enter the warehouse have received the materials to be shipped out and are waiting to leave the warehouse at the access control equipment, after facial verification, the RFID card reader deployed at the access control equipment will continue to scan the RFID tag information of the materials to be shipped out, and check whether the RFID tag information of the materials to be shipped out matches the RFID tag information registered on the material shipment application information. It is understandable that the personnel waiting to enter the material and spare parts warehouse through the material release application are to carry out material retrieval operations in the unmanned warehouse mode. They can go to the specific material they want to retrieve and take it manually or through related auxiliary equipment. After obtaining the material, the personnel waiting to enter the warehouse can obviously process it for release.

[0030] At this point, facial verification can also be involved in the outbound process. The facial verification operation here is similar to that in the inbound process. After passing the facial verification, the verification of the supplies can then proceed.

[0031] It's easy to understand that the system itself doesn't know whether the materials the personnel waiting to leave the warehouse are the same materials requested in the material leave application. To address this, the system can use the RFID tags of the materials to be left that were deployed in the previous material entry operation. The RFID reader deployed on the access control equipment can then scan the RFID tag information of the materials to be left to check whether it matches the material leave application information.

[0032] If a match is found, then obviously the materials that the personnel currently waiting to leave the warehouse are the same materials requested in the material leave application, and can be left in the warehouse normally, and the access control equipment can release them normally.

[0033] Conversely, if the materials that the personnel waiting to enter the warehouse want to take out are not the materials requested in the material take-out application, they cannot be taken out normally. The access control equipment will prohibit passage and can also issue on-site warnings or send warnings to the management personnel.

[0034] Among them, from Figure 2 It can also be seen that the entrance and exit of the material and spare parts warehouse do not have to be the same entrance and exit, which can be adapted to the actual situation.

[0035] In addition, the RFID card readers deployed in the access control equipment can be specifically deployed in locations such as the top of the door frame, the side of the door frame, the desktop platform, or the bracket, which can be adapted to the actual situation.

[0036] 5) If a match is found, the access control device will allow entry and wait for the person to exit the warehouse.

[0037] As described above, when the RFID tag information of the goods waiting to be released for release matches the RFID tag information registered on the goods release application information, the personnel waiting to enter the warehouse can be released according to the specific release method of the access control equipment.

[0038] At the same time, the system can also store / record relevant data of the above processing for later review or for further data analysis.

[0039] Thus, as can be seen from the above introduction, this application overcomes the drawbacks of traditional human resource management, such as inefficiency, time-consuming nature, and untimely data transmission. It enables unmanned operation of material and spare parts warehouses and self-service operation for staff. For manufacturing enterprises, especially medium and large-sized manufacturing enterprises, which involve a large number of material and spare parts, in practical applications, it can efficiently and reasonably save labor costs, reduce the occurrence of related abnormal events, and manage warehouse material and spare parts in a more humane way. Specifically, it can involve the following advantages: 1. Data Quality: The small, high-precision, reliable, high-performance anti-interference RFID (passive) tags developed by the company can achieve 100% identification accuracy by scanning the RFID tags affixed to materials and spare parts through an RFID reader, thereby improving the quality and accuracy of the data.

[0040] 2. High efficiency: Traditional warehouse management requires human intervention when staff enter and leave the warehouse to record and count materials and spare parts, which reduces work efficiency. However, with the unmanned warehouse management system of this application, no human intervention is required. The system will automatically record and save data quickly and accurately, which greatly improves work efficiency.

[0041] 3. Timeliness: Unmanned management transmits data in real time, which greatly enhances the monitoring and management capabilities of managers over the warehouse. Furthermore, due to real-time uploading, the timeliness of the data is greatly enhanced. Through the computer in the management backend, the repair of tools and equipment can be more accurately monitored, and more scientific management can be achieved through data collection.

[0042] 4. Timeliness: Unmanned management transmits data in real time, greatly improving the monitoring and management capabilities of warehouse managers. Furthermore, due to real-time uploading, the timeliness of the data is greatly enhanced. The computer in the management backend can more accurately manage the repair of tools and equipment and collect data for more scientific management.

[0043] 5. Material Mistake Alert: When workers collect materials and pass through the RFID access control channel, if they find that the materials they collect do not match the materials on the outbound application form, an alarm can be triggered in time to prevent the mistaken materials from being released.

[0044] At the same time, this application system can also be involved in unattended material receiving operations before the goods are shipped out.

[0045] In this regard, the system's processing in the context of material receiving can also include the following steps: 1) When workers are waiting at the access control equipment to apply for entry into the warehouse to perform material entry operations, their facial images are captured by a camera; 2) Detect whether there are second registered users whose facial images match the material entry application information online; 3) If present, the access control equipment allows the operator to pass through and scans the RFID tag information of the materials to be put into storage using the RFID card reader deployed on the access control equipment; 4) After the operators have finished putting the materials to be put into storage on the shelves and binding the QR code physical labels through handheld terminal devices, update the online information of the materials to be put into storage to complete the shelving and storage operation.

[0046] Understandably, the personnel performing the material receiving operation, similar to the personnel waiting to receive materials, must pass facial recognition before entering the material and spare parts warehouse to perform specific operations. The same applies to the outbound operation.

[0047] In the materials and spare parts warehouse, the staff can use a handheld terminal device to bind the QR code of the materials and the storage QR code to record the materials that have been registered online / in the system. The former is a QR code label that is assigned and affixed to each material to identify its unique identity, and the latter is a QR code label that is assigned and affixed to the shelf or pallet to identify its unique identity.

[0048] Specifically, handheld terminal devices can be portable terminal devices such as personal digital assistants (PDAs), smartphones, and tablets.

[0049] In addition, such as Figure 2 As shown, the shelves and pallets in the materials and spare parts warehouse can also be equipped with corresponding shelf RFID tags and pallet RFID tags. As items that are routinely deployed in the warehouse, they can be managed in the same way as materials that can be normally entered and exited, so as to effectively track and manage them and avoid loss.

[0050] Furthermore, in order to more precisely and dynamically capture the changes in the location of materials and spare parts in the warehouse, it is possible to monitor the occurrence of misplacement or misdelivery of materials.

[0051] In this regard, the system of this application may also include multiple fixed RFID readers deployed in the internal environment of the material and spare parts warehouse. The fixed RFID readers routinely scan the RFID tags in the surrounding area to track the spatial position changes of the corresponding objects online based on the tag scanning situation. If any abnormality is found, an early warning will be issued.

[0052] It's important to understand that the "routine tag scanning" involved here doesn't mean that the scanning state is always maintained. In practice, it involves periodic scanning, manually triggered scanning, abnormal event triggered scanning, and the setting of scanning cycle and scanning interval.

[0053] Fixed RFID readers for routine tag scanning can be deployed on rooftops, walls, shelves, brackets, etc. In practice, in addition to manual deployment, their specific deployment locations can also be determined using appropriate search algorithms to balance deployment costs, processing costs, and scanning accuracy.

[0054] The input to the search algorithm can include various influencing factors such as warehouse map, shelf location, material type, number of card readers, deployment cost constraints, processing cost constraints, scanning accuracy constraints, card reader density constraints, and card reader scanning range overlap constraints.

[0055] The search algorithm itself can be specifically designed for various types of search algorithms, such as simulated annealing, particle swarm optimization, genetic algorithm, ant colony algorithm, and greedy algorithm.

[0056] Understandably, for medium and large enterprises with large warehouses, it is valuable to use search algorithms to achieve a deeper and more reasonable deployment solution for fixed RFID readers.

[0057] Under the routine tag scanning settings mentioned here, when there are no material retrieval or warehousing operations, it is clear that abnormal events such as material slippage / dropping or theft can be further detected, and specific response outputs such as on-site alarms and online warnings can be generated. When material retrieval or warehousing operations are involved, it helps to capture the location changes of materials taken by the personnel waiting for warehousing or the workers involved in the operation. This can help to conveniently capture in-depth features such as personnel walking paths, material drop locations, and personnel stay time / location, providing additional effective data support for further data analysis and processing such as personnel path tracking, material search planning, suspicious location investigation, and suspicious personnel investigation.

[0058] In addition, considering that in special application scenarios such as late at night or in emergencies, the first registered user marked at the time of the material release application may have difficulty reaching the material and spare parts warehouse to collect materials due to insufficient temporary staff or inconvenience, this application system can also introduce a material collection personnel update mechanism.

[0059] That is, in response to the material release application information, this application system can also update the first registered user to the person who will perform the material receiving operation on behalf of the initial first registered user based on the personnel change request initiated by the initial first registered user.

[0060] As can be seen from the mechanism settings here, this application requires that personnel changes be initiated by the original first registered user, i.e., the initial first registered user, after logging into the system through their own or other devices and making a personnel change request. Thus, while allowing the first registered user to be updated to a person who replaces the initial first registered user to perform material collection operations, it also helps to identify the initiator as the party concerned, so as to facilitate investigation in abnormal situations and prevent the party concerned from arbitrarily changing personnel.

[0061] Among them, for the first registered user to be updated, there may also be relevant permission management. If the relevant personnel cannot be replaced as the material receiving personnel due to factors such as shift schedule and personal work permissions, the personnel replacement request initiated by the current party can be refused.

[0062] At the same time, personnel replacement requests can also be made without specifying the personnel to be replaced, allowing the system to automatically arrange personnel. This measure can further avoid the risks of management chaos and material abnormalities that come with specifying the personnel to be replaced.

[0063] Correspondingly, this application system can also independently select a first registered user to replace the initial first registered user for material collection operations based on the request information of the personnel change request and the relevant personnel's shift information.

[0064] Understandably, in terms of details, after determining the list of available users based on the request information for personnel replacement and the scheduling information of relevant personnel, users can make their own selections by following selection strategies such as sequential selection, random selection, selection based on job relevance, and selection based on familiarity.

[0065] Among them, for personnel who frequently initiate replacements, there are also corresponding personnel who frequently replace others, which can be recorded to provide targeted data support for investigation work such as abnormal work locations, abnormal time periods, and abnormal personnel.

[0066] Furthermore, this application can also introduce a scoring mechanism in terms of details, using scoring to quantify the potential risks that relevant personnel or items may bring to the management of the materials and spare parts warehouse.

[0067] In this regard, the design of the solution can also be based on the monitoring images inside the warehouse. Correspondingly, the system of this application can also include fixed cameras deployed inside the material and spare parts warehouse. Based on this, the system of this application can also include the following processing: 1) Collect image information of personnel entering the warehouse using fixed cameras; Understandably, compared to continuously activating the fixed camera to capture images, activating the fixed camera only when the access control system detects that someone is about to enter can further reduce the associated operating costs, including data processing volume.

[0068] The image information here can be a single or multiple images, or a continuous video.

[0069] 2) Determine whether the person entering the warehouse has any suspicious characteristics based on the image information. Suspicious characteristics include suspicious body postures and suspicious behaviors. It is easy to understand that the processing of suspicious features and subsequent scoring can be achieved by configuring the corresponding image detection technology. Typically, based on the introduction of artificial intelligence (AI) technology, a deep learning model in the machine learning model can be used. If considering the processing of time series features, relevant time series models can also be used.

[0070] The scoring mechanism here is based on the performance of the personnel entering the database to detect whether any suspicious events have occurred. Therefore, the suspicious characteristics can be obtained from two aspects: static suspicious human postures and dynamic suspicious behaviors, which can provide data basis for subsequent specific scoring operations.

[0071] 3) If so, for the items involved by the current warehouse entrant, combined with the suspicious characteristics of the historical warehouse entrants, the current warehouse entrant's entry behavior is scored, and the items involved by the current warehouse entrant are scored. Understandably, after obtaining the suspicious characteristics judgment results of the personnel entering the warehouse from the previous processing stage, it is possible to continue to combine the relevant items that the current personnel intend to enter or leave the warehouse, touch, take or perform actions on, or have indirect contact with (i.e., have approached or seen) (collectively referred to as the items involved by the current personnel entering the warehouse, and not limited to materials), and further combine the suspicious characteristics judgment results of historical personnel entering the warehouse (the current personnel entering the warehouse and / or other personnel entering the warehouse) to perform specific personnel scoring operations on the current personnel entering the warehouse, and obtain the corresponding personnel score.

[0072] It is also important to note that the scoring mechanism designed in this application is not intended to target individuals suspected of stealing items. This application believes that, in reality, the presence of certain items in the warehouse may interfere with the normal work of personnel entering the warehouse. Therefore, the items involved by the personnel entering the warehouse can be scored to obtain corresponding item scores.

[0073] In this way, we can try to capture abnormal events occurring in the warehouse from two dimensions: people and goods.

[0074] 4) When the personnel score or item score reaches the corresponding warning condition, the corresponding warning will be output.

[0075] When warning conditions such as the score value exceeding the threshold, the rate of decrease / increase of the score value exceeding the threshold, or the duration of the risk score value exceeding the threshold are met, it is understandable that an early warning can be issued, and an on-site early warning output can be made (which may involve specific early warning methods such as light warning, sound and light warning, etc.), or an early warning can be sent to the management personnel.

[0076] In addition, this application can also provide one-to-one warehouse entry path planning for personnel waiting to enter the warehouse to collect corresponding materials. This allows personnel waiting to enter the warehouse to complete the material collection operation more efficiently and accurately in complex or large warehouse conditions. This process may involve corresponding content display functions.

[0077] Specifically, in this setting, the access control device can also be configured with a display interface, which can be displayed through its own configured display screen (including touch screen), external display device, or other device with a display screen.

[0078] In this situation, while the access control equipment allows personnel waiting to enter the warehouse, it also outputs corresponding material retrieval operation suggestions through the relevant display interface. The specific processing content of the material retrieval operation suggestions in this application system may include the following: 1) Perform user emotion state recognition processing on facial images; Understandably, this application also considers more nuanced user emotional states in its inbound path planning, which are used to characterize whether the people currently waiting for inbound are in a normal state, a tired state, an anxious state, etc. Obviously, these user emotional states differ in detail between the more suitable inbound paths.

[0079] The facial images used here can be the same as those used previously, or additional facial images can be captured by the processing mechanism here. This can be configured according to actual needs.

[0080] In terms of specific implementation, appropriate facial recognition algorithms can be used to perform the recognition processing in this step.

[0081] Regarding the specific results of user emotional state recognition, it can directly identify the most likely user emotional state, as well as the probability of different preset user emotional states.

[0082] 2) Based on the user's emotional state recognition results, combined with the historical material retrieval operation records of the first registered user corresponding to the face image, the item characteristics of the materials to be dispatched, the historical material retrieval records of the location area of ​​the materials to be dispatched, the historical material retrieval records of the material type of the materials to be dispatched, the entry path of the materials to be dispatched, the storage characteristics of materials other than the materials to be dispatched, and the current environmental characteristics, customized processing of the entry path is performed. Understandably, in the specific customized processing of the inbound path, the data input includes not only the user's emotional state recognition result that needs to be dynamically / real-time processed, but also the historical material retrieval operation records of the first registered user corresponding to the face image recorded in the system, the item characteristics of the materials to be retrieved, the historical material retrieval records of the location area of ​​the materials to be retrieved, the historical material retrieval records of the material type of the materials to be retrieved, the inbound path of the materials to be retrieved, the storage characteristics of materials other than the materials to be retrieved, and the current environmental characteristics, so as to form a more delicate and in-depth processing effect. By considering the many factors that this application believes may affect the fluctuation of the path suggestion effect and the path execution effect, a high level of user experience is guaranteed.

[0083] The series of influencing factors mentioned here do not refer to readily available data that can be directly extracted from the user's emotional state recognition results, i.e., static data that has been pre-processed and stored in the system based on triggering conditions such as manual triggering or data updates. In practice, it can also refer to data that can be collected / processed in real time.

[0084] For example, current environmental characteristics may include real-time weather.

[0085] Here, we can also use deep learning models from machine learning models to process the data, based on the introduction of AI technology.

[0086] In terms of specific implementation, as a practical approach, the customized inbound path processing can be handled by an inbound path customization processing model pre-configured based on a Graph Attention Network (GAT).

[0087] Understandably, the advantage of graph attention networks lies in their ability to automatically learn the importance of relationships between nodes and use attention mechanisms to dynamically determine the weights of information transmission between nodes. This makes them more flexible than traditional graph neural networks (GNNs), such as graph convolutional networks (GCNs), which treat all neighboring nodes equally.

[0088] The improvements of graph attention networks in terms of dynamic neighbor weighting, interpretability, flexibility and applicability make them well-suited for the customized processing of the more complex or in-depth analysis-related data entry paths designed in this application.

[0089] 3) Based on the customized processing results of the inbound path and the material retrieval suggestions of the materials to be dispatched, generate material retrieval operation suggestions.

[0090] After completing the customized inbound path processing and obtaining the corresponding results, this application can further integrate the material retrieval suggestions of the materials to be dispatched into a complete material retrieval operation suggestion. This suggestion will serve as a user-friendly prompt during the material retrieval task, helping personnel who are unfamiliar with the materials and spare parts warehouse, are not comfortable performing material retrieval operations alone, or whose past material retrieval experience is not suitable for the current warehouse requirements to better complete the material retrieval operation. In addition, it can also help inbound personnel to better complete the material retrieval operation when objective conditions such as significant changes in warehouse location occur in a short period of time.

[0091] Furthermore, the scheme settings here can be combined with the scoring mechanism mentioned earlier to continue to take into account the risk situation of the current personnel entering the warehouse and the materials waiting to be shipped out, so as to carry out more refined warehouse entry path planning.

[0092] Correspondingly, the input data for the customized processing of the inbound path here can also include the personnel score of the first registered user and the item score of the materials to be shipped out.

[0093] The above solutions can also be combined with... Figure 3 The following is a schematic diagram illustrating an example of the system architecture of this application, for a more intuitive understanding.

[0094] In conclusion, under the objective of managing materials and spare parts, this application, based on the integration of RFID technology to achieve unmanned operation and self-service operation of materials and spare parts warehouses, further optimizes the details to achieve more refined unmanned warehouse processing results in relevant sub-application scenarios. This can efficiently and reasonably save labor costs, reduce the occurrence of related abnormal events, and manage warehouse materials and spare parts in a more humane way, providing good tool support for the material and spare parts management of manufacturing enterprises.

[0095] The above is an introduction to the RFID-based unmanned warehouse processing system provided in this application. Based on this, this application also presents an RFID-based unmanned warehouse processing method from the perspective of the system's processing flow.

[0096] Understandably, this RFID-based unmanned warehouse processing method is applied to an RFID-based unmanned warehouse processing system. In terms of hardware structure, the system may include access control equipment deployed in the material and spare parts warehouse, which is equipped with cameras and RFID card readers. The system may also include RFID tags deployed on materials in the material and spare parts warehouse.

[0097] Based on the above brief hardware structure description, refer to Figure 4The diagram shown illustrates a flowchart of the RFID-based unmanned warehouse processing method of this application. In a material outbound scenario, the RFID-based unmanned warehouse processing method provided by this application may specifically include the following steps S401 to S405: Step S401: When the personnel waiting to enter the warehouse are waiting at the access control equipment to apply for entry and pick up materials, the facial image of the personnel waiting to enter the warehouse is captured by the camera. Step S402: Detect whether there is a material release application information online that matches the face image of the first registered user; Step S403: If the condition exists, the access control device will allow the personnel waiting to enter the warehouse to pass through. Step S404: When the personnel waiting to enter the warehouse receive the materials to be shipped out and wait to be shipped out on the access control equipment side, after facial verification, the RFID tag information of the materials to be shipped out is scanned by the RFID card reader deployed on the access control equipment, and it is detected whether the RFID tag information of the materials to be shipped out matches the RFID tag information registered on the material shipment application information. Step S405: If a match is found, the access control device allows entry and exit of the personnel waiting to leave the warehouse.

[0098] In one exemplary embodiment, the method further includes: When workers are waiting at the access control equipment to apply for entry into the warehouse to perform the material entry operation, their facial images are captured by the camera; The system checks whether there are second-registered users whose facial images match the material warehousing application information online. If present, the access control equipment allows the workers to pass through and scans the RFID tag information of the materials to be put into storage using the RFID card reader deployed on the access control equipment. After the staff has finished shelving the materials to be put into storage and bound the physical labels with QR codes using handheld terminal devices, they update the online information of the materials to be put into storage to complete the shelving and storage operation.

[0099] In yet another exemplary embodiment, the system further includes multiple fixed RFID readers deployed within the material and spare parts warehouse environment, and the method further includes: By using a fixed RFID reader to routinely scan the surrounding RFID tags, the system can track the spatial location changes of the corresponding objects online based on the tag scanning data. If any abnormality is detected, an early warning will be issued.

[0100] In yet another exemplary embodiment, the method further includes: Regarding the material release application information, based on the personnel change request initiated by the initial first registered user, the first registered user is updated to the personnel who will perform the material receiving operation on behalf of the initial first registered user.

[0101] In yet another exemplary embodiment, the method further includes: Based on the personnel replacement request information and the relevant personnel's shift schedule information, the system independently selects a first registered user to replace the initial first registered user in performing the material collection operation.

[0102] In yet another exemplary embodiment, the system further includes a fixed camera deployed within the interior environment of the materials and spare parts warehouse, and the method further includes: Image information of personnel entering the warehouse is collected using fixed cameras; Based on the image information, determine whether the person entering the warehouse has any suspicious characteristics. Suspicious characteristics include suspicious body postures and suspicious behavior. If so, for the items involved by the current warehouse entrant, combined with the suspicious characteristics of the historical warehouse entrants, the current warehouse entrant's entry behavior will be scored, and the items involved by the current warehouse entrant will be scored. When the personnel score or item score reaches the corresponding warning condition, the corresponding warning will be output.

[0103] In yet another exemplary embodiment, the access control device further includes a display interface configuration. While the access control device allows personnel waiting to enter the warehouse, the method also includes: The system will output corresponding suggestions for material collection through the relevant display interface. The suggestions for material collection include the following: Perform user emotion state recognition processing on facial images; Based on the user's emotional state recognition results, combined with the historical material retrieval operation records of the first registered user corresponding to the face image, the item characteristics of the materials to be dispatched, the historical material retrieval records of the location area of ​​the materials to be dispatched, the historical material retrieval records of the material type of the materials to be dispatched, the entry path of the materials to be dispatched, the storage characteristics of materials other than the materials to be dispatched, and the current environmental characteristics, customized processing of the entry path is performed. Based on the customized processing results of the inbound path and the material retrieval suggestions of the materials to be dispatched, material retrieval operation suggestions are generated.

[0104] In yet another exemplary embodiment, the input data for performing the customized inbound path processing personnel scoring also includes the personnel score of the first registered user and the item score of the goods to be shipped out.

[0105] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the RFID-based unmanned warehouse processing described above can be found in [reference needed]. Figure 1 The description of the RFID-based unmanned warehouse processing system in the corresponding embodiment will not be repeated here.

[0106] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0107] Therefore, this application provides a computer-readable storage medium storing a plurality of instructions that can be loaded by a processor to execute the present application. Figure 4 The steps of the RFID-based unmanned warehouse processing method in the corresponding embodiment can be referred to as follows for specific operations. Figure 4 The description of the RFID-based unmanned warehouse processing method in the corresponding embodiment will not be repeated here.

[0108] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0109] Because of the instructions stored in the computer-readable storage medium, the present application can be executed as described above. Figure 4 The steps of the RFID-based unmanned warehouse processing method in the corresponding embodiment can therefore achieve the results of this application. Figure 4 The beneficial effects that the RFID-based unmanned warehouse processing method can achieve in the corresponding embodiments are detailed in the preceding description and will not be repeated here.

[0110] The foregoing has provided a detailed description of the RFID-based unmanned warehouse processing system, the RFID-based unmanned warehouse processing method, and the computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are only for the purpose of helping to understand the core ideas of this application; furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An RFID-based unmanned warehouse processing system, characterized in that, The system includes access control equipment deployed in the material and spare parts warehouse, the access control equipment being equipped with cameras and RFID card readers. The system also includes RFID tags deployed on materials within the material and spare parts warehouse. In the scenario of materials leaving the warehouse, the system operation includes the following processing: When a person waiting to enter the warehouse is waiting to apply for entry and retrieve materials at the access control device, the camera captures the person's facial image. Detect whether there is a material release application information online that matches the first registered user's facial image; If present, the access control device allows the person waiting to enter the warehouse to pass through; When the personnel waiting to enter the warehouse receive the goods to be shipped out and wait to leave the warehouse at the access control equipment, after facial verification, the RFID card reader deployed on the access control equipment continues to scan the RFID tag information of the goods to be shipped out, and detects whether the RFID tag information of the goods to be shipped out matches the RFID tag information registered on the goods shipment application information. If a match is found, the access control device allows the person waiting to enter the warehouse to exit.

2. The system according to claim 1, characterized in that, In the scenario of materials entering the warehouse, the system's work includes the following processing: When the workers are waiting to apply for entry into the warehouse to perform the material entry operation at the access control equipment, the camera captures the workers' facial images. The system detects whether there is a second registered user whose material warehousing application information matches the facial image online. If present, the access control device allows the operator to pass through and scans the RFID tag information of the materials to be put into storage using the RFID reader deployed on the access control device. After the operator completes the shelving of the materials to be put into storage and binds the QR code physical label through a handheld terminal device, the online information of the materials to be put into storage is updated to complete the shelving and storage operation.

3. The system according to claim 1, characterized in that, The system also includes multiple fixed RFID readers deployed inside the material and spare parts warehouse. These fixed RFID readers routinely scan the RFID tags in the surrounding area to track the spatial position changes of the corresponding objects online based on the tag scanning status. If any abnormality is detected, an early warning will be issued.

4. The system according to claim 1, characterized in that, In response to the material release application information, the system also updates the first registered user with a person who will replace the first registered user to perform the material receiving operation.

5. The system according to claim 4, characterized in that, The system also autonomously selects the first registered user to replace the initial first registered user in performing the material collection operation based on the request information of the personnel replacement request and the relevant personnel's shift information.

6. The system according to claim 1, characterized in that, The system also includes fixed cameras deployed inside the material and spare parts warehouse, and the system also includes the following processing functions: The fixed camera captures image information of personnel entering the warehouse. Based on the image information, it is determined whether the person entering the warehouse has any suspicious characteristics, including suspicious body postures and suspicious behaviors; If so, for the items involved by the current warehouse entrant, combined with the suspicious characteristics of historical warehouse entrants, the warehouse entry behavior of the current warehouse entrant is scored, and the items involved by the current warehouse entrant are scored. When the personnel score or the item score reaches the corresponding warning condition, the corresponding warning will be output.

7. The system according to claim 1 or 6, characterized in that, The access control device also has a display interface configuration. While allowing the personnel waiting to enter the warehouse to pass through, the access control device also outputs corresponding material retrieval operation suggestions through the relevant display interface. The system processes the material retrieval operation suggestions as follows: The facial image is processed to identify the user's emotional state. Based on the user's emotional state recognition results, combined with the historical material retrieval operation records of the first registered user corresponding to the face image, the item characteristics of the material to be dispatched, the historical material retrieval records of the location area of ​​the material to be dispatched, the historical material retrieval records of the material type of the material to be dispatched, the entry path of the material to be dispatched, the storage characteristics of materials other than the material to be dispatched, and the current environmental characteristics, customized entry path processing is performed. Based on the customized processing results of the inbound path and the material retrieval suggestions of the materials to be dispatched, the material retrieval operation suggestions are generated.

8. The system according to claim 7, characterized in that, The input data for performing the customized processing of the inbound path and the personnel rating also includes the personnel rating of the first registered user and the item rating of the materials to be shipped out.

9. A method for handling unmanned warehouses based on RFID, characterized in that, The method is applied to an unmanned warehouse processing system. The system includes access control equipment deployed in the material and spare parts warehouse, the access control equipment being equipped with cameras and RFID card readers. The system also includes RFID tags deployed on materials within the material and spare parts warehouse. In a material outbound scenario, the method includes: When a person waiting to enter the warehouse is waiting to apply for entry and retrieve materials at the access control device, the camera captures the person's facial image. Detect whether there is a material release application information online that matches the first registered user's facial image; If present, the access control device allows the person waiting to enter the warehouse to pass through; When the personnel waiting to enter the warehouse receive the goods to be shipped out and wait to leave the warehouse at the access control equipment, after facial verification, the RFID card reader deployed on the access control equipment continues to scan the RFID tag information of the goods to be shipped out, and detects whether the RFID tag information of the goods to be shipped out matches the RFID tag information registered on the goods shipment application information. If a match is found, the access control device allows the person waiting to enter the warehouse to exit.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a plurality of instructions adapted for loading by a processor to execute the method of claim 9.

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