Building material warehouse management system and method based on RFID technology, medium, program product and terminal

Abstract

According to the building material warehouse management system and method based on the RFID technology, the medium, the program product and the terminal, the RFID technology and an intelligent path planning algorithm are combined, inventory informatization management, intelligent warehouse capacity management, intelligent scheduling and intelligent checking are achieved, the warehouse management process is optimized in an all-around mode, and the warehouse management efficiency is improved. The storage management efficiency of the building materials is greatly improved; the optimal warehouse point can be automatically matched through the intelligent scheduling module, the order demand and the order returning demand can be quickly responded, the response time is effectively shortened, and the customer satisfaction is improved; by dynamically adjusting the position and the scanning time sequence of the RFID antenna array, all-directional and multi-angle RFID tag scanning can be carried out on a stacking area of a plurality of building materials, stable acquisition of RFID tag signals is ensured, and the scanning identification accuracy and efficiency are improved; according to the method, inventory management, scheduling decision making and inventory checking tasks are automatically completed, manual operation links are reduced, the error rate caused by manual operation is reduced, and the management quality is improved.

Description

Technical Field

[0001] The present application relates to the field of warehouse management technology, and in particular to a building material warehouse management system, method, medium, program product, and terminal based on RFID technology. Background Art

[0002] Currently, traditional warehouse management relies primarily on manual operations, requiring workers to manually record goods in and out of the warehouse, conduct inventory checks, and allocate storage capacity. This process is plagued by low efficiency, high error rates, and slow response times. In recent years, the application of RFID technology in warehouse management has steadily increased. RFID technology uses wireless communication to automatically identify and collect data about goods, effectively improving the efficiency and accuracy of warehouse management. However, the application of RFID technology in warehouse management still faces challenges. For one thing, it's crucial to effectively integrate RFID technology with other intelligent systems to achieve fully automated warehouse management. Furthermore, in the storage of specialized goods such as construction materials, the dense stacking of multiple materials can lead to RFID signal loss or interference, compromising RFID tag reading and, in turn, disrupting warehouse management. Summary of the Invention

[0003] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a building material warehouse management system, method, medium, program product and terminal based on RFID technology, which is used to solve the problems in the existing technology such as how to achieve comprehensive automation of building material warehouse management based on RFID technology, and the difficulty in obtaining RFID signals for stacked multiple building materials.

[0004] To achieve the above-mentioned objectives and other related objectives, the first aspect of the present application provides a building material warehouse management system based on RFID technology, comprising: a plurality of RFID tags, which are set on corresponding building materials; each RFID tag is recorded with the specification information of the corresponding building material; a warehouse management device, comprising an inventory information module, a storage capacity management module, and an intelligent scheduling module; wherein the inventory information module is used to obtain the specification information of the RFID tags on each building material in real time through an RFID reading and writing device set in the warehouse; the storage capacity management module is used to associate the obtained specification information of each building material with the warehouse information to generate a dynamic inventory database; the intelligent scheduling module is used to calculate the optimal scheduling path information based on the return demand or order demand of the building material in combination with the dynamic inventory database using a path planning algorithm, and arrange vehicles to transport the building materials according to the optimal scheduling path information; the RFID antenna arrays distributed in each warehouse perform RFID tag scanning on the stacking area of ​​multiple building materials by dynamically adjusting the position and scanning timing of the RFID antenna array to obtain RFID tag signals, and parse the RFID tag signals to obtain the specification information of each building material.

[0005] In some embodiments of the first aspect of the present application, before parsing the RFID tag signal, it includes: constructing an abnormal signal detection model based on a deep learning method, and pre-training the constructed abnormal signal detection model; detecting the RFID tag signal based on the pre-trained abnormal signal detection model, and outputting the RFID tag signal after removing the abnormal signal.

[0006] In some embodiments of the first aspect of the present application, the inventory information module includes an RFID identification unit and a backup identification unit. When the RFID identification unit fails to identify the RFID tag on the building material, the backup identification unit is triggered; wherein: the RFID identification unit is used to identify the specification information of the RFID tag on the building material through an RFID reading and writing device; the backup identification unit is used to collect image information of the building material through an image acquisition device, and to measure and obtain spatial information of the building material using a laser ranging device, and perform feature extraction on the image information and spatial information of the building material to obtain the specification information of the building material.

[0007] In some embodiments of the first aspect of the present application, the process of calculating the optimal scheduling path information based on the return demand or order demand of building materials in combination with the dynamic inventory database using a path planning algorithm includes: when a return demand for building materials is received, the preset scheduling relationship, the address information and specification information of the building materials to be stored are obtained, and the optimal scheduling path information is calculated based on the dynamic inventory database using a path planning algorithm; when an order demand for building materials is received, the preset scheduling relationship, the address information and specification information of the building materials to be shipped out are obtained, and the optimal scheduling path information is calculated based on the dynamic inventory database using a path planning algorithm.

[0008] In some embodiments of the first aspect of the present application, the RFID antenna array preferentially scans and identifies RFID tags at edges of the stacking area.

[0009] In some embodiments of the first aspect of the present application, the system further includes an intelligent inventory module; the intelligent inventory module is used to perform regular inventory of construction materials in the warehouse.

[0010] To achieve the above-mentioned purpose and other related purposes, the second aspect of the present application provides a building material warehouse management method based on RFID technology, which is characterized in that, when applied to the building material warehouse management system based on RFID technology, the method includes: setting multiple RFID tags on corresponding building materials; each RFID tag has the specification information of the corresponding building material recorded; obtaining the specification information of the RFID tag on each building material in real time through an RFID reading and writing device set in the warehouse; associating the obtained specification information of each building material with the warehouse information to generate a dynamic inventory database; based on the return demand or order demand of the building material and the dynamic inventory database, a path planning algorithm is used to calculate the optimal scheduling path information, and vehicles are arranged to transport the building materials according to the optimal scheduling path information; wherein, by dynamically adjusting the position and scanning timing of the RFID antenna array, RFID tag scanning is performed on the stacking area of ​​multiple building materials to obtain RFID tag signals, and the RFID tag signals are parsed to obtain the specification information of each building material.

[0011] To achieve the above-mentioned purpose and other related purposes, the third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the building material storage management method based on RFID technology.

[0012] To achieve the above-mentioned purpose and other related purposes, the fourth aspect of the present application provides a computer program product, which includes computer program code. When the computer program code is run on a computer, the computer implements the building material warehouse management method based on RFID technology.

[0013] To achieve the above-mentioned purpose and other related purposes, the fifth aspect of the present application provides an electronic terminal, including a memory, a processor and a computer program stored in the memory; the processor executes the computer program to implement the building material warehouse management method based on RFID technology.

[0014] As described above, the RFID-based building material storage management system, method, medium, program product, and terminal provided in this application have the following beneficial effects:

[0015] (1) This application combines RFID technology with intelligent path planning algorithms to achieve inventory information management, intelligent storage capacity management, intelligent scheduling and intelligent inventory, comprehensively optimize the warehouse management process, and significantly improve the efficiency of building material warehouse management.

[0016] (2) This application can automatically match the optimal warehouse point through the intelligent scheduling module, quickly respond to order demands and order return demands, effectively shorten response time, and improve customer satisfaction.

[0017] (3) The intelligent inventory module of this application performs electronic inventory through automated scanning using RFID technology, accurately collects inventory data, and improves inventory efficiency and data accuracy.

[0018] (4) By dynamically adjusting the position and scanning timing of the RFID antenna array, the present application can perform all-round and multi-angle RFID tag scanning on the stacking areas of multiple building materials, ensuring the stable acquisition of RFID tag signals and improving the scanning recognition accuracy and efficiency.

[0019] (5) This application automatically completes inventory management, scheduling decisions and inventory tasks, reduces manual operation links, reduces the error rate caused by manual operation, and improves management quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 Shown is a structural diagram of a building material storage management system based on RFID technology in one embodiment of the present application.

[0021] Figure 2 Shown is a structural diagram of an inventory information module in one embodiment of the present application.

[0022] Figure 3Shown is another structural schematic diagram of a building material storage management system based on RFID technology in one embodiment of the present application.

[0023] Figure 4 Shown is a flow chart of a building material storage management method based on RFID technology in one embodiment of the present application.

[0024] Figure 5 Shown is a structural schematic diagram of an electronic terminal in one embodiment of the present application. DETAILED DESCRIPTION

[0025] The following describes the embodiments of the present application through specific examples. Those skilled in the art can easily understand the other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0026] To facilitate understanding of the embodiments of this application, first Figure 1 Detailed description. Figure 1 The following is a schematic diagram of a building material storage management system based on RFID technology according to an embodiment of the present invention. The system includes:

[0027] A plurality of RFID tags 100 are set on corresponding building materials; each RFID tag has the specification information of the corresponding building material recorded therein.

[0028] In this embodiment, RFID (Radio Frequency Identification) technology, also known as radio frequency identification technology, is an advanced technical means for achieving non-contact automatic identification through radio signals. This technology automatically identifies target objects and obtains relevant data through radio frequency signals without human intervention, can work in various harsh environments, and has extremely high recognition accuracy and reliability. The advantage of RFID technology lies in its non-contact recognition capability, which can significantly improve the efficiency and accuracy of data collection while reducing labor costs and human errors. In addition, RFID tags have the characteristics of large storage capacity, repeatable reading and writing, and long service life, which give them significant advantages in data management and tracking. With the rapid development of fields such as the Internet of Things, intelligent manufacturing, and smart logistics, the application scope of RFID technology continues to expand, and it has been widely used in supply chain management, retail, medical health, transportation, asset management and other fields.

[0029] It should be noted that building materials include a variety of materials and tools used for building structures, decoration, and construction, such as rebar and steel sections. Building materials can be stored in separate warehouses based on material type, shape, and volume. To better manage building materials, RFID technology can be used. This involves attaching a corresponding RFID tag to each building material, automatically identifying the target building material through radio frequency signals, and acquiring relevant data. In building material management, RFID tags can be used to store the material's specifications, including material name, specification model, production date, and storage date. For example, the RFID tag of a rebar might store specifications such as "rebar, diameter 20mm, length 10m, production date January 15, 2025, storage date February 1, 2025."

[0030] Each RFID tag stores the specifications of the corresponding building material, which can be used to uniquely identify each building material. Therefore, RFID tags can be used to quickly and accurately identify and manage building materials during procurement, storage, delivery, and use, avoiding problems such as material confusion and duplicate purchases. This allows for refined and information-based management of inventory building materials, such as accurate identification of individual building material lengths and storage areas, thereby improving management efficiency and accuracy.

[0031] The warehouse management device 200 includes an inventory information module 210, a storage capacity management module 220, and an intelligent scheduling module 230; wherein, the inventory information module 210 is used to obtain the specification information of the RFID tag on each building material in real time through the RFID reading and writing equipment set in the warehouse; the storage capacity management module 220 is used to associate the obtained specification information of each building material with the warehouse information to generate a dynamic inventory database; the intelligent scheduling module 230 is used to calculate the optimal scheduling path information based on the return demand or order demand of the building material in combination with the dynamic inventory database using a path planning algorithm, and arrange vehicles to transport the building materials according to the optimal scheduling path information.

[0032] In this embodiment, multiple RFID tags 100 are connected to the warehouse management equipment 200, that is, multiple RFID tags are set on the corresponding building materials. The warehouse management equipment obtains the specification information stored in the RFID tag on each building material in real time, and performs inventory management, inbound and outbound management, etc. of the building materials based on the obtained information.

[0033] In this embodiment, the inventory information module 210 uses an RFID reader / writer installed within the warehouse to obtain real-time specification information from the RFID tags attached to each building material. The inventory information module 210 connects to the RFID reader / writer to obtain real-time specification information from the building materials. The RFID reader / writer installed within the warehouse is an RFID reader / writer, which is a device capable of reading and writing RFID tag information. It communicates with the RFID tags via radio frequency signals, enabling the reading and updating of RFID tag information. Specifically, the RFID reader / writer scans the RFID tags attached to each building material to obtain the corresponding specification information.

[0034] Furthermore, the RFID reading and writing equipment set in the warehouse can also be an RFID antenna array 300 distributed in each warehouse, that is, the system of this embodiment includes an RFID antenna array 300 distributed in each warehouse, and by dynamically adjusting the position and scanning timing of the RFID antenna array, RFID tags are scanned in the stacking area of ​​multiple building materials to obtain RFID tag signals, and the RFID tag signals are analyzed to obtain the specification information of each building material.

[0035] It should be understood that due to the shape characteristics of building materials, such as flat, slender, and irregularly shaped building materials, they are often stacked during storage. When multiple building materials are densely stacked, RFID tags located below or within the stacking area may be obscured by other building materials or tags. This obstruction can hinder normal signal transmission, causing signal attenuation or even complete shielding, making it impossible for RFID readers to accurately read the information of obscured tags. Furthermore, stacking can cause RFID tags to be too close together. When scanning, the RFID reader has a large scanning area, and multiple tags are simultaneously within the reader's operating range. These tags operate at the same frequency, causing signal interference between them. Signal interference can cause the RFID reader to receive erroneous signals or fail to receive signals from certain tags, resulting in read errors or failures. For example, when stacking flat building materials, tags at the bottom are easily obscured by upper materials; when stacking slender materials, tags inside may be wrapped by surrounding materials.

[0036] For example, consider steel sheets, a flat building material. When tightly stacked, there are virtually no gaps between the layers. If an RFID tag is attached to the surface of a steel sheet, the tag on the bottom sheet is easily blocked by the upper sheet. Because steel sheets are made of metal, they effectively shield electromagnetic waves. When an RFID reader attempts to read the information from the RFID tag on the bottom sheet, the electromagnetic wave signal is significantly attenuated as it passes through the upper sheet. For example, the signal strength of an RFID tag operating normally is 100 units. After passing through a layer of steel, the signal strength may drop below 10 units, making it impossible for the reader to accurately read the information.

[0037] For example, when stacking irregularly shaped steel beams, the positions of RFID tags within the stacked area vary. Some are located inside the stack, while others are at the edge. When using an RFID reader / writer to read the RFID tags within the stacked area, tags located above or within the stack are easily missed. Furthermore, the dense density of RFID tags can cause signal interference.

[0038] Therefore, in this embodiment, RFID antenna arrays are installed in each warehouse. The position of the RFID antenna arrays can be flexibly adjusted based on the specific stacking conditions of multiple building materials, allowing them to cover more angles and areas, reducing blind spots and improving scanning and recognition accuracy and efficiency. For example, in areas with high stacks, the RFID antenna arrays are raised to cover building materials located higher up. In areas with low stacks, the height of the RFID antenna arrays is appropriately lowered to avoid missing materials below due to excessive signal coverage. Alternatively, multiple RFID antenna arrays can be distributed on both sides of a shelf, with one array covering the top and another covering the bottom. This multi-angle signal coverage reduces blind spots caused by occlusion.

[0039] At the same time, when using an RFID antenna array to scan RFID tags in stacked areas of multiple building materials, it is also necessary to adjust the scanning timing of the RFID antenna array. The method for adjusting the scanning timing of the RFID antenna array in this embodiment adopts a time division multiplexing method. Time division multiplexing (TDMA) is a communication technology that interweaves different signals in different time periods and transmits them along the same channel; the signals in each time period are extracted and restored to the original signals. In an RFID antenna array, multiple antennas can use time division multiplexing technology to work in sequence according to a preset time sequence. Each antenna transmits and receives signals in its own time, thereby reducing mutual interference between signals.

[0040] It's important to note that by dynamically adjusting the position and scanning sequence of the RFID antenna array, it's possible to perform omnidirectional, multi-angle RFID tag scanning across stacked areas of multiple building materials. This scanning method effectively avoids RFID signal obstruction or interference caused by stacked building materials, ensuring stable acquisition of RFID tag signals.

[0041] In one embodiment, the RFID antenna array preferentially scans for RFID tags that identify edges of the stacking area.

[0042] It should be noted that RFID tags at the edges of stacking areas are typically located at the outermost layers of multiple building material stacks. Prioritizing scanning these tags can quickly determine the boundaries of multiple stacking areas. RFID tags at the edges of stacking areas are less susceptible to signal interference because they are typically not obscured by other materials. Prioritizing scanning can improve recognition success rates and accuracy. By prioritizing RFID tags at the edges of stacking areas, subsequent scanning paths for the RFID antenna array can be better planned, avoiding duplicate scanning or missing certain areas.

[0043] In one embodiment, before parsing the RFID tag signal, the process includes: constructing an abnormal signal detection model based on a deep learning method, and pre-training the constructed abnormal signal detection model; detecting the RFID tag signal based on the pre-trained abnormal signal detection model, and outputting the RFID tag signal after removing the abnormal signal.

[0044] It should be noted that deep learning is a machine learning method that achieves tasks such as data classification, prediction, and generation by learning complex features and patterns from large amounts of data. Deep learning models can handle complex nonlinear relationships and have achieved remarkable results in many fields such as image recognition, speech recognition, and natural language processing. The deep learning methods used in this embodiment include but are not limited to long short-term memory networks, artificial neural networks, and convolutional neural networks.

[0045] In this embodiment, RFID tag signals are acquired by scanning RFID tags in a stacked area of ​​multiple building materials using an RFID antenna array. Although the accuracy of signal reading is improved by dynamically adjusting the position and scanning timing of the RFID antenna array, some abnormal signals still exist, such as signal confusion, signal attenuation, or distortion caused by battery interference or metal interference. Therefore, abnormal signal detection and processing are required for the acquired RFID tag signals. The specific processing process includes:

[0046] Historical RFID tag signal data, including normal and abnormal signal data, is acquired and preprocessed. A deep learning approach is used to construct an abnormal signal detection model, which is then pretrained on the preprocessed historical RFID tag signal data to enable the model to learn the characteristics and patterns of normal and abnormal signals. The pretrained abnormal signal detection model is then used to detect real-time RFID tag signals. Based on the learned characteristics and patterns, the pretrained abnormal signal detection model determines whether each RFID tag signal is an abnormal signal, removes any abnormal signals, and outputs the RFID tag signal after the abnormal signal removal process. By performing abnormal signal detection and removal on RFID tag signals, data quality and reliability can be improved. The acquired RFID tag signals are then analyzed to further obtain the specifications of each building material.

[0047] In one embodiment, combining Figure 2 It is noted that the inventory information module 210 includes an RFID identification unit 211 and a backup identification unit 212. When the RFID identification unit fails to identify the RFID tag on the building material, the backup identification unit is triggered; wherein:

[0048] The RFID identification unit 211 is used to identify the specification information of the RFID tag on the building material through the RFID reading and writing device;

[0049] The backup identification unit 212 is used to collect image information of building materials through an image acquisition device, and to measure and obtain spatial information of building materials using a laser rangefinder, and to perform feature extraction on the image information and spatial information of the building materials to obtain specification information of the building materials.

[0050] It should be noted that in actual applications, RFID tag recognition may fail for a variety of reasons, such as tag damage, interference from metal objects, excessive reading distance, RFID reader malfunction, etc. For example, if the RFID tag attached to the surface of a building material is damaged by external pressure or high static electricity, or if the metal environment surrounding the building material interferes with the RFID signal, causing the RFID reader to be unable to properly read the tag information, other methods will be necessary to ensure that the building material specification information can be accurately obtained.

[0051] In this embodiment, an RFID recognition unit 211 and a backup recognition unit 212 are provided. When RFID recognition unit 211 fails to recognize an RFID tag on a building material, backup recognition unit 212 is triggered. Backup recognition unit 212 uses an image acquisition device to capture image information of the building material and uses a laser rangefinder to measure its spatial information. This unit then performs feature extraction on the image and spatial information, identifying features such as shape and size in the image information, or features such as a QR code printed on the surface. Combined with the spatial information obtained from the laser rangefinder, such as length, width, and position, this unit then performs a comprehensive analysis to determine the building material's specifications.

[0052] It should be understood that the "image information" mentioned in this embodiment includes, but is not limited to, static images, dynamic images, or videos. Static images can be in formats such as jpg, jpeg, tiff, and png; dynamic images can be in the gif format; and videos include formats such as mkv, mp4, avi, and mov.

[0053] In this embodiment, the image acquisition device may be a camera module, which includes a camera device, a storage device, and a processing device. The camera device includes, but is not limited to, a camera, a video camera, a camera module integrated with an optical system or a CCD chip, a camera module integrated with an optical system and a CMOS chip, etc.

[0054] Furthermore, the image acquisition device and the building material can have a one-to-one relationship, that is, one image acquisition device specifically acquires image information of one building material, and comprehensive image information of the corresponding building material can be obtained by moving the position of the image acquisition device; the image acquisition device and the building material can also have a one-to-many relationship, that is, one image acquisition device can acquire image information of multiple building materials, which can be used for small building materials and save equipment resources; or, the image acquisition device and the building material can have a many-to-one relationship, that is, multiple image acquisition devices acquire image information of the same piece of building material, so that there is a spare image acquisition device in case one of the image acquisition devices is damaged, and for particularly large building materials, all image information of the building material can be acquired simultaneously from multiple angles and multiple areas to avoid omissions.

[0055] The dual identification mechanism of the RFID identification unit 211 and the backup identification unit 212 ensures accurate acquisition of building material specification information, thereby ensuring smooth construction and inventory management.

[0056] In some cases, building materials may contain smaller micro-building materials, such as expansion bolts and steel nails. When multiple micro-building materials are densely stacked, using an RFID reader to scan RFID tags can cause signal overlap, making it impossible to accurately identify individual materials. This signal overlap can make it difficult to accurately identify each micro-building material, thus affecting inventory accuracy.

[0057] For example, in a construction materials warehouse, a batch of expansion bolts are densely stacked in one area. These expansion bolts have different lengths, diameters, and other specifications, and are stacked relatively tightly. When scanning with traditional RFID reading and writing equipment, the signal overlap problem is serious, and it is impossible to accurately distinguish and count the number and specifications of each expansion bolt, resulting in poor accuracy in obtaining specification information.

[0058] A laser radar method is used to scan and measure the stacking area of ​​multiple micro-building materials within the building material stack. Point cloud data is generated based on the obtained reflection signals. The point cloud data includes the position information and reflected light intensity information of the multiple micro-building materials. The point cloud data of the stacking area of ​​the multiple micro-building materials is processed using a segmentation processing method and a target recognition method to obtain the corresponding specification information of each micro-building material. The segmentation processing method can use a clustering algorithm, and the target recognition method can use a machine learning algorithm.

[0059] In some examples, building materials also include flexible building materials, such as sealing strips and rubber tubes. Flexible building materials will undergo deformations such as stretching, bending, or compression when subjected to external forces (such as grasping or carrying). Deformation will cause the position of the RFID tag to change. For example, when the rubber tube is stretched by 5%, the actual position of the RFID tag will deviate from the original coordinates by 5%. At this time, subsequent scanning and inventory rely on the original coordinate data to locate and identify the RFID tag. If the tag position is offset, it will not be accurately matched, resulting in scanning failure or error.

[0060] In the case where the RFID tag scanning of flexible building materials fails, the specific method adopted in this embodiment includes:

[0061] Acquire elastic modulus data of the current flexible building material and original coordinate information of the RFID tag; collect force data applied to the current flexible building material during the grasping process in real time through a pressure sensor; calculate the deformation of the flexible building material based on the elastic modulus data of the current flexible building material and the force data collected by the pressure sensor; perform reverse correction on the original coordinate information of the RFID tag of the flexible building material based on the calculated deformation to obtain actual coordinate information of the RFID tag of the flexible building material; and perform RFID tag scanning and identification by an RFID reader / writer based on the actual coordinate information of the RFID tag of the flexible building material to obtain specification information of the flexible building material.

[0062] In this embodiment, the storage capacity management module 220 associates the acquired specification information of each building material with the warehouse information to generate a dynamic inventory database. The warehouse information includes: warehouse location, warehouse number, warehouse shelf number, warehouse manager information, etc.

[0063] It should be noted that traditional building material warehouse management primarily relies on calculating inventory quantities based on the total number of meters or tonnage of materials in stock. This method only provides a static inventory total and fails to reflect real-time inventory changes. For example, material entry and exit operations may not be updated in a timely manner, resulting in inventory data that is inconsistent with actual conditions. Furthermore, when materials are returned, dispatchers must confirm the storage capacity with warehouse staff before determining the return point. This process is not only time-consuming and labor-intensive, but also prone to human error.

[0064] Therefore, in this embodiment, the acquired building materials are associated with warehouse information (such as warehouse location, warehouse number, shelf number, and manager information). The warehouse location records the specific warehouse location where the building materials are placed. Each warehouse has a unique warehouse number. The shelf number indicates the specific shelf location where the building materials are stored in the warehouse. The manager information is the manager responsible for the warehouse, facilitating accountability and management coordination. A dynamic inventory database is generated and updated in real time based on RFID technology, forming dynamic inventory capacity management. This expands from traditional horizontal and vertical item management to spatial geometry management, providing real-time understanding of the spatial distribution of inventory materials.

[0065] In this embodiment, by associating the specification information of building materials with warehouse information to generate a dynamic inventory database, it not only solves the pain points of traditional management methods, but also significantly improves the accuracy, operational efficiency and refined management level of inventory management.

[0066] In one embodiment, the process of calculating and obtaining optimal dispatch path information using a path planning algorithm based on order return requirements or order requirements for construction materials in combination with a dynamic inventory database includes:

[0067] When a return order for building materials is received, the system obtains the preset scheduling relationship, address information and specification information of the building materials to be stored, and uses a path planning algorithm based on the dynamic inventory database to calculate the optimal scheduling path information;

[0068] When an order for building materials is received, the preset scheduling relationship, address information and specification information of the building materials to be shipped are obtained, and the path planning algorithm is used to calculate the optimal scheduling path information based on the dynamic inventory database.

[0069] It should be understood that the preset scheduling relationship is the pre-set rules and logic for the scheduling of construction materials. The preset scheduling relationship includes the storage rules of different types of construction materials in the warehouse, the scheduling priority of transport vehicles, the scheduling rules of the area first and then across areas, etc., which provide a basis for subsequent path planning.

[0070] The address and specification information of the incoming building materials is obtained through analysis of order returns. The address information includes the actual location of the returned building materials. The specification information includes detailed information such as the type, size, and quantity of the building materials. The dynamic inventory database stores the real-time inventory status of building materials in each warehouse, including information such as the quantity and storage location of each material.

[0071] The address information and specification information of the construction materials to be shipped are obtained by analyzing order requirements. The address information of the construction materials to be shipped is the actual location of the customer or construction site. The specification information of the construction materials to be shipped is information such as the type, quantity, and size of the construction materials required by the customer or construction site.

[0072] Based on the return order requirements, determine which warehouse the building materials should be stored in, their specific storage location within the warehouse (such as the shelf number), and which vehicle should be arranged for return transportation. Based on the order requirements, determine which warehouse the building materials should be allocated from and arrange for transportation.

[0073] The path planning algorithm includes Dijkstra algorithm, genetic algorithm, ant colony algorithm, etc., which is not limited in this embodiment and is selected according to actual conditions.

[0074] A path planning algorithm uses factors such as the transport vehicle's route, transport time, and transport cost, combined with real-time inventory data from a dynamic inventory database and pre-set scheduling relationships to calculate the optimal dispatch path for the current construction materials. This optimal dispatch path includes transport vehicle information, the optimal transport path, and the warehouse where the construction materials will be stored.

[0075] For example, when the system receives a return order request, it can determine which warehouses have vacant locations based on the real-time inventory information in the dynamic inventory database. Taking into account the storage rules of different types of building materials in the warehouse in the scheduling relationship and the scheduling rules of first the local area and then cross-area, it can select a placement warehouse that meets the requirements, and combine the scheduling priority, transportation cost and other information of the transport vehicle to select the optimal placement warehouse and the best transportation route for the transport vehicle.

[0076] The intelligent scheduling module also includes dynamically adjusting the optimal scheduling path based on real-time logistics information of building materials.

[0077] It's important to note that building materials, including brittle materials like glass and ceramics, are prone to damage during transportation, potentially due to vehicle jolting, collisions during loading and unloading, and other factors. Furthermore, materials may be lost due to the need to switch vehicles during transportation. Furthermore, vehicle breakdowns can occur during transportation. All of these factors can lead to changes in the real-time logistics information of building materials, such as when RFID-tagged building materials remain stationary for extended periods or deviate from the optimal dispatch path.

[0078] In the case of damaged or lost construction materials, if it is an order demand, it is necessary to retrieve the replenished construction materials from the warehouse again and generate the target scheduling path for the replenished construction materials; in the case of vehicle failure, whether it is an order demand or a return demand, once a vehicle failure occurs, the transportation of construction materials will be interrupted. Therefore, it is necessary to re-dispatch the vehicle and plan the scheduling path to avoid delays in the supply or warehousing of construction materials.

[0079] Specifically, based on the real-time logistics information of construction materials, combined with the return demand or order demand of construction materials, the dynamic inventory database, and vehicle resource information, a path planning algorithm is used to calculate the target scheduling path information, and the optimal scheduling path is adjusted according to the target scheduling path information.

[0080] Real-time logistics information includes information on the location of construction materials and the status of transport vehicles. RFID tags, GPS positioning systems, and other technologies provide real-time access to construction material location information. If construction materials remain stationary for an extended period or deviate from the optimal dispatch path, this indicates an anomaly in the material's location information. Vehicle sensors and other technologies monitor vehicle operating status in real time, including speed, fuel consumption, and fault alarms. Any malfunction indicates an anomaly in the status of the transport vehicle.

[0081] When abnormalities occur in the location information of building materials, information on damaged or lost building materials (i.e., materials to be replenished) is obtained. These materials must be retrieved from the warehouse and a route planned. This is based on the specifications of the materials to be replenished, their addresses, inventory information of the materials to be replenished in the dynamic inventory database, and the locations and specifications of available vehicles. At this point, the decision is also made as to whether to deliver the materials directly to the destination specified in the order or to transport them together with undamaged or lost materials. This depends on various factors, including transportation cost, time efficiency, and vehicle load. For example, if direct transportation saves time and cost, direct transportation will be chosen; if combined transportation is more efficient, then combined transportation will be chosen. Taking all of these factors into consideration, a path planning algorithm is used to calculate the target dispatch path.

[0082] When the status of a construction material transport vehicle shows an abnormality, a path planning algorithm is used to calculate the target dispatch path based on order or order return requirements and vehicle resource information. Vehicles are then dispatched based on the target dispatch path to load the materials and continue transporting them to their destination. Path planning considers factors such as material specifications, vehicle type, distance, route, and toll costs. For example, the vehicle closest to the current location of the construction materials and with the appropriate specifications is selected to plan the shortest and lowest-cost route.

[0083] The path planning algorithm includes Dijkstra algorithm, genetic algorithm, ant colony algorithm, etc., which is not limited in this embodiment and is selected according to actual conditions.

[0084] In one embodiment, combining Figure 3 It is noted that the system further includes an intelligent inventory module 240 ; the intelligent inventory module 240 is used to perform regular inventory of construction materials in the warehouse.

[0085] It should be noted that the traditional method of counting building material inventory is mainly through manual inventory by warehouse managers. Manual inventory requires a lot of time and manpower, especially for large warehouses and high-rise stacked building materials. The inventory process is cumbersome and time-consuming, which increases management costs. In addition, the turning over and confirming of high-rise stacked materials can easily lead to work-related injuries and poor safety.

[0086] In this embodiment, RFID technology combined with PDA devices enables automated inventory counting. Inventory data is automatically recorded and uploaded, and updated in real time to a dynamic inventory database. This ensures the accuracy and timeliness of inventory information and reduces human error. Manually rummaging through stacked materials is eliminated, reducing worker workload and the risk of work-related injuries. The intelligent inventory module accurately identifies the status and quantity of materials, avoiding potential damage caused by manual operation.

[0087] It should be emphasized that the intelligent inventory module of this application greatly improves inventory efficiency and data accuracy through automated scanning and real-time data updates using RFID technology, reduces labor intensity and operating costs, and realizes intelligent and efficient warehouse management.

[0088] It should be noted that the RFID-based building material storage management system, method, medium, program product, and terminal provided in this application have the following beneficial effects:

[0089] (1) This application combines RFID technology with intelligent path planning algorithms to achieve inventory information management, intelligent storage capacity management, intelligent scheduling and intelligent inventory, comprehensively optimize the warehouse management process, and significantly improve the efficiency of building material warehouse management.

[0090] (2) This application can automatically match the optimal warehouse point through the intelligent scheduling module, quickly respond to order demands and order return demands, effectively shorten response time, and improve customer satisfaction.

[0091] (3) The intelligent inventory module of this application performs electronic inventory through automated scanning using RFID technology, accurately collects inventory data, and improves inventory efficiency and data accuracy.

[0092] (4) By dynamically adjusting the position and scanning timing of the RFID antenna array, the present application can perform all-round and multi-angle RFID tag scanning on the stacking areas of multiple building materials, ensuring the stable acquisition of RFID tag signals and improving the scanning recognition accuracy and efficiency.

[0093] (5) This application automatically completes inventory management, scheduling decisions and inventory tasks, reduces manual operation links, reduces the error rate caused by manual operation, and improves management quality.

[0094] In the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects, and do not limit their order. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity or execution order, and words such as "first" and "second" do not necessarily mean different.

[0095] It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" represent examples, illustrations, or descriptions. Any embodiment or design described in this application as "exemplary" or "for example" should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0096] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc or abc, where a, b, c can be single or multiple.

[0097] Figure 4 This is a building material storage management method based on RFID technology provided by the embodiment of the present application. Figure 4 As shown, the method includes:

[0098] Step S41: placing multiple RFID tags on corresponding building materials; each RFID tag is recorded with specification information of the corresponding building material;

[0099] Step S42: Obtaining specification information of the RFID tags on each building material in real time through the RFID reading and writing equipment installed in the warehouse;

[0100] Step S43: Associating the acquired specification information of each building material with the warehouse information to generate a dynamic inventory database;

[0101] Step S44: Based on the order return demand or order demand of the building materials and in combination with the dynamic inventory database, a path planning algorithm is used to calculate and obtain optimal dispatch path information, and vehicles are arranged to transport the building materials according to the optimal dispatch path information;

[0102] By dynamically adjusting the position and scanning timing of the RFID antenna array, RFID tag scanning is performed on the stacking area of ​​multiple building materials to obtain RFID tag signals, and the RFID tag signals are analyzed to obtain the specification information of each building material.

[0103] It should be understood that the specific processes of the above corresponding steps have been described in detail in the above system embodiment, and for the sake of brevity, they will not be repeated here.

[0104] It should also be understood that the division of modules in the embodiments of the present application is illustrative and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the present application may be integrated into a single processor, or may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0105] Figure 5 This is a schematic block diagram of an electronic terminal provided in an embodiment of the present application. Figure 5 As shown, the electronic terminal includes: at least one processor 501, a memory 502, at least one network interface 503 and a user interface 505. The various components in the device are coupled together via a bus system 504. It is understood that the bus system 504 is used to achieve connection and communication between these components. In addition to including a data bus, the bus system 504 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 5 Various buses are labeled as bus systems.

[0106] The user interface 505 may include a display, a keyboard, a mouse, a trackball, a click gun, keys, buttons, a touch pad or a touch screen.

[0107] It will be appreciated that the memory 502 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM) or a programmable read-only memory (PROM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memory described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0108] The memory 502 in the embodiment of the present invention is used to store various types of data to support the operation of the electronic terminal 500. Examples of such data include: any executable program used to operate on the electronic terminal 500, such as the operating system 5021 and the application 5022; the operating system 5021 includes various system programs, such as the framework layer, the core library layer, the driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 5022 can include various application programs, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The implementation of the RFID-based building material storage management method provided in the embodiment of the present invention can be included in the application 5022.

[0109] The methods disclosed in the above embodiments of the present invention can be applied to or implemented by processor 501. Processor 501 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in processor 501 or by software instructions. The above processor 501 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 501 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor 501 may be a microprocessor or any conventional processor. The steps of the accessory optimization method provided in conjunction with the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium located in a memory. The processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above method.

[0110] In an exemplary embodiment, the electronic terminal 500 may be configured to execute the aforementioned method using one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs).

[0111] According to the method provided in the embodiments of the present application, the present application also provides a computer program product, which includes: computer program code, which, when running on a computer, enables the computer to execute the building material storage management method based on RFID technology in any of the embodiments shown.

[0112] According to the method provided in the embodiments of the present application, the present application also provides a computer-readable storage medium, which stores program code. When the program code runs on a computer, the computer executes the building material warehousing management method based on RFID technology in any of the embodiments shown.

[0113] As used in this specification, the terms "component," "module," "system," and the like are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. By way of illustration, both an application running on a computing device and a computing device can be a component. One or more components can reside in a process and / or an execution thread, and a component can be located on a computer and / or distributed between two or more computers. In addition, these components can be executed from various computer-readable media having various data structures stored thereon. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component on a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0114] Those skilled in the art will appreciate that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0115] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0116] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0117] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0118] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0119] In the above embodiments, the functions of each functional unit can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When the computer program instructions (program) are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. Available media may be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., high-density digital video discs (DVDs), or semiconductor media (e.g., solid state disks (SSDs)).

[0120] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program codes.

[0121] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

[0122] In summary, the present application provides a building materials warehouse management system, method, medium, program product, and terminal based on RFID technology. This application combines RFID technology with an intelligent path planning algorithm to implement inventory information management, intelligent storage capacity management, intelligent scheduling, and intelligent inventory counting, comprehensively optimizing the warehouse management process and significantly improving the efficiency of building materials warehouse management. Through its intelligent scheduling module, this application automatically matches optimal storage locations, quickly responding to order requests and order returns, effectively shortening response times and improving customer satisfaction. This application's intelligent inventory counting module uses automated scanning with RFID technology to perform electronic inventory counting, accurately collecting inventory data and improving inventory counting efficiency and data accuracy. By dynamically adjusting the position and scanning timing of the RFID antenna array, this application can perform omnidirectional and multi-angle RFID tag scanning across multiple stacking areas of building materials, ensuring stable acquisition of RFID tag signals and improving scanning recognition accuracy and efficiency. This application automatically completes inventory management, scheduling decisions, and inventory counting tasks, reducing manual operations, lowering the error rate caused by manual operations, and improving management quality. Therefore, this application effectively overcomes the various shortcomings of the existing technology and has high industrial application value.

[0123] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A building material storage management system based on RFID technology, characterized in that: include: A plurality of RFID tags are set on corresponding building materials; Each RFID tag is recorded with the specification information of the corresponding building material; The warehouse management device includes an inventory information module, a storage capacity management module, and an intelligent scheduling module; wherein the inventory information module is used to obtain the specification information of the RFID tags on each building material in real time through an RFID reader / writer device installed in the warehouse; the storage capacity management module is used to associate the obtained specification information of each building material with warehouse information to generate a dynamic inventory database; the intelligent scheduling module is used to calculate the optimal scheduling path information based on the return demand or order demand of the building material in combination with the dynamic inventory database using a path planning algorithm, and arrange vehicles to transport the building materials according to the optimal scheduling path information; RFID antenna arrays distributed in various warehouses dynamically adjust the position and scanning timing of the RFID antenna arrays to scan RFID tags in stacked areas of multiple building materials to obtain RFID tag signals, and then analyze the RFID tag signals to obtain specification information of each building material; The laser radar method is used to scan and measure the stacking area of ​​multiple micro-building materials in the building materials, and point cloud data is generated according to the obtained reflection signals; the segmentation processing method and target recognition method are used to process the point cloud data of the stacking area of ​​multiple micro-building materials to obtain the specification information corresponding to each micro-building material.

2. The building material storage management system based on RFID technology according to claim 1 is characterized in that: Before parsing the RFID tag signal, the method includes: Build an abnormal signal detection model based on deep learning methods and pre-train the built abnormal signal detection model; The RFID tag signal is detected based on a pre-trained abnormal signal detection model, and the RFID tag signal after the abnormal signal is removed is output.

3. The building material storage management system based on RFID technology according to claim 1 is characterized in that: The inventory information module includes an RFID identification unit and a backup identification unit. When the RFID identification unit fails to identify the RFID tag on the building material, the backup identification unit is triggered; wherein: The RFID identification unit is used to identify the specification information of the RFID tag on the building material through the RFID reading and writing device; The backup identification unit is used to collect image information of building materials through an image acquisition device, and to measure and obtain spatial information of building materials using a laser rangefinder, and to perform feature extraction on the image information and spatial information of the building materials to obtain specification information of the building materials.

4. The building material storage management system based on RFID technology according to claim 1 is characterized in that: The process of using a path planning algorithm to calculate the optimal dispatch path information based on the return or order demand of building materials and the dynamic inventory database includes: When a return order for building materials is received, the system obtains the preset scheduling relationship, the address information and specification information of the building materials to be stored, and uses a path planning algorithm based on the dynamic inventory database to calculate the optimal scheduling path information; When an order for building materials is received, the preset scheduling relationship, address information and specification information of the building materials to be shipped are obtained, and the path planning algorithm is used to calculate the optimal scheduling path information based on the dynamic inventory database.

5. The building material storage management system based on RFID technology according to claim 1 is characterized in that: The RFID antenna array preferentially scans for RFID tags that identify edges of the stacking area.

6. The building material storage management system based on RFID technology according to claim 1 is characterized in that: The system also includes an intelligent inventory module; the intelligent inventory module is used to perform regular inventory of building materials in the warehouse.

7. A building material storage management method based on RFID technology, characterized in that: Applied to the building material storage management system based on RFID technology according to any one of claims 1 to 6, the method comprises: A plurality of RFID tags are set on corresponding building materials; each RFID tag is recorded with specification information of the corresponding building material; The specification information of the RFID tags on each building material is obtained in real time through the RFID reading and writing equipment installed in the warehouse; Associating the acquired specification information of each building material with the warehouse information to generate a dynamic inventory database; Based on the demand for return orders or orders of building materials and in combination with a dynamic inventory database, a path planning algorithm is used to calculate the optimal scheduling path information, and vehicles are arranged to transport the building materials according to the optimal scheduling path information; The method comprises the following steps: dynamically adjusting the position and scanning timing of the RFID antenna array to scan RFID tags in a stacked area of ​​multiple building materials to obtain RFID tag signals, and analyzing the RFID tag signals to obtain specification information of each building material; The laser radar method is used to scan and measure the stacking area of ​​multiple micro-building materials in the building materials, and point cloud data is generated according to the obtained reflection signals; the segmentation processing method and target recognition method are used to process the point cloud data of the stacking area of ​​multiple micro-building materials to obtain the specification information corresponding to each micro-building material.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the building material storage management method based on RFID technology as claimed in claim 7 is implemented.

9. A computer program product, characterized in that The computer program product includes computer program code, and when the computer program code is run on a computer, the computer is enabled to implement the building material storage management method based on RFID technology as claimed in claim 7.

10. An electronic terminal comprising a memory, a processor, and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the building material storage management method based on RFID technology as described in claim 7.

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