Building material inventory control and automatic replenishment system and method based on Internet of Things

Abstract

The invention discloses a building material inventory control and automatic replenishment system based on the Internet of Things, and the system comprises a data collection module which is used for collecting all kinds of building material information and environment data according to a plurality of sensors; the cloud server is used for storing, sorting and analyzing the real-time data and accurately calculating key indexes of each material; the pre-warning module is also used for judging whether replenishment is needed or not according to a preset inventory pre-warning threshold value; the replenishment module is used for automatically triggering a replenishment instruction when it is judged that replenishment is needed, and sending a replenishment order to the corresponding supplier through an information interaction platform with the supplier; a digital twin virtual module is arranged in the local terminal, and the local terminal is used for updating the stock information corresponding to the goods shelf, the goods allocation and the building materials in the digital twin virtual module according to the collected data information and visually displaying the stock information corresponding to the goods shelf, the goods allocation and the building materials. The invention further discloses a building material inventory control and automatic replenishment method based on the Internet of Things. According to the invention, the accuracy of building material inventory management is improved.

Description

Technical Field

[0001] The present invention relates to the field of construction engineering material management, and specifically to a building material inventory control and automatic replenishment system and method based on the Internet of Things. Background Art

[0002] During the construction process, the supply management of building materials is directly related to the project progress, cost control, and construction quality. Traditional building material inventory management mostly relies on manual records and regular inventory checks. This method is inefficient, error-prone, and difficult to reflect the real-time dynamic changes of the inventory in a timely manner. Construction workers often cannot accurately grasp the material inventory situation, resulting in material shortages that delay the project schedule, or over-purchasing that causes capital backlogs and site waste. In addition, with the increasing complexity of construction projects and the lengthening of the supply chain, the requirements for the timeliness and accuracy of material supply are becoming more and more stringent, and there is an urgent need for an innovative intelligent inventory control solution.

[0003] Therefore, a building material inventory control and automatic replenishment system and method based on the Internet of Things are provided. Summary of the Invention

[0004] The purpose of the present invention is to provide a building material inventory control and automatic replenishment system and method based on the Internet of Things to overcome the existing defects, improve the accuracy of building material inventory management, reduce construction delays caused by inaccurate inventory, and ensure the project progress is promoted as planned.

[0005] The technical solution to achieve the above purpose is:

[0006] A building material inventory control and automatic replenishment system based on the Internet of Things according to one of the present inventions includes:

[0007] A data acquisition module for collecting various building material information and environmental data according to a variety of sensors;

[0008] A cloud server for storing, sorting, and analyzing real-time data, accurately calculating the key indicators of each material; and also for judging whether replenishment is needed according to the preset inventory warning threshold;

[0009] A replenishment module for automatically triggering a replenishment instruction when it is determined that replenishment is needed, and sending a replenishment order to the corresponding supplier through an information interaction platform with the supplier;

[0010] A local terminal with a built-in digital twin virtual module for visually displaying the updated inventory information of the shelves, storage locations, and building materials in the digital twin virtual module according to the collected data information; and also for receiving replenishment order information and tracking the replenishment progress;

[0011] The transmission module is used to transmit the collected various building material information and environmental data to the cloud server and the local terminal according to the wireless communication technology.

[0012] Preferably, the data acquisition module includes:

[0013] Weight sensors are installed at the bottom of the material stacking area to monitor the remaining weight of various materials in real time;

[0014] Temperature and humidity sensors are used to monitor the storage environment of temperature and humidity sensitive materials;

[0015] A surveillance camera unit, which is used to collect real-time images of the warehouse where the physical materials are stored;

[0016] The sensing unit attaches radio frequency identification tags to each batch of material packaging to record the material name, specification, and production date of various building materials, and monitors the material location, inventory, and storage time in real time, and updates the storage location status information and warehouse status information.

[0017] Preferably, the sensing unit comprises:

[0018] The warehousing unit attaches barcodes with material information to the materials to be warehousing, and scans them for warehousing, generating information on the storage location status, warehouse status, and incoming materials;

[0019] The outbound unit scans the barcodes of the materials that need to be outbound, and updates the storage location status information, warehouse status information and outbound material information.

[0020] Preferably, the cloud server includes:

[0021] Data analysis unit, used to process, analyze and model the collected data information through the digital model of the material, and accurately calculate the key indicators of each material, including but not limited to the current inventory and consumption rate;

[0022] Intelligent forecasting unit, used to forecast the demand and usage of materials based on key indicators obtained through analysis and calculation;

[0023] The determination unit is used to determine whether replenishment is needed based on the predicted demand and usage of materials according to the preset inventory warning threshold.

[0024] Preferably, the digital twin virtual module uses a high-precision three-dimensional laser scanner and its high-precision three-dimensional laser scanning technology to scan the warehouse, storage location and equipment to obtain three-dimensional point cloud data that is highly consistent with its appearance. The digital twin virtual module includes:

[0025] The inventory query unit is used to determine the query result according to the output instruction and display the query result in real time;

[0026] A virtual human unit, which is used to interconnect the patrol personnel with the system to obtain the spatial information of the patrol personnel, so that the patrol personnel model can browse and roam in the three-dimensional scene;

[0027] A display unit, which is used to display the real-time status of the warehouse shelves, storage locations and the material information stored at the corresponding locations in the digital twin virtual module.

[0028] Preferably, in the transmission module, the wireless communication technology includes but is not limited to Wi-Fi, Bluetooth, 4G / 5G.

[0029] A method for controlling the inventory of building materials and automatic replenishment based on the Internet of Things according to the second aspect of the present invention includes:

[0030] Step S1, collecting various building material information and environmental data according to multiple sensors;

[0031] Step S2, storing, sorting and analyzing the real-time data, and accurately calculating the key indicators of each material;

[0032] Step S3, predicting the demand and usage of materials according to the key indicators obtained by analysis and calculation;

[0033] Step S4, judging whether it is necessary to replenish the predicted demand and usage of materials according to the preset inventory warning threshold;

[0034] Step S5, when it is determined that replenishment is required, automatically trigger a replenishment order, and send the replenishment order to the corresponding supplier through the information interaction platform with the supplier, and track and follow up the replenishment progress in real time.

[0035] Preferably, the step S1 includes:

[0036] Step S11, by installing a weight sensor at the bottom of the material stacking area, the remaining weight of various materials is monitored in real time;

[0037] Step S12, monitoring the storage environment of temperature and humidity sensitive materials through a temperature and humidity sensor;

[0038] Step S13, the monitoring camera unit is used to collect real-time images of the warehouse where the materials are physically stored;

[0039] Step S14, by attaching a radio frequency identification tag to each batch of material packages, it is used to record the material name, specification, production date of various building materials, and to monitor the material location, inventory quantity, storage time in real time, and update the storage location status information and warehouse status information.

[0040] Preferably, it further includes:

[0041] Step S6: Use a high-precision 3D laser scanner and its high-precision 3D laser scanning technology to scan the warehouse, storage locations, and equipment to obtain 3D point cloud data that is identical to their external shapes and heights.

[0042] Step S7: Real-time display the information of the warehouse shelves, storage locations, and materials stored at the corresponding positions through the 3D point cloud data.

[0043] Step S8: By connecting the patrol personnel to the system, obtain the spatial information of the patrol personnel, enabling the patrol personnel model to browse and roam in the 3D scene.

[0044] The beneficial effects of the present invention are as follows: Through digital twin technology, the present invention can monitor and track the location, status, and quantity of materials in real time, and through the analysis and modeling of the collected data, it can predict the demand and usage of materials, thereby reasonably planning the procurement and allocation of materials, avoiding overstocking or shortages, improving the efficiency of material management and cost control capabilities, and providing an intelligent sensing unit to conduct inbound and outbound operations and tracking of materials, reducing the input of human resources and operation errors, improving work efficiency, while reducing labor costs and material losses, and achieving a reduction in material management costs; greatly improving the accuracy of building material inventory management, reducing construction delays caused by inaccurate inventory, ensuring the progress of the project is promoted as planned, avoiding over-purchasing and out-of-stock phenomena, reducing material costs and capital occupancy, improving the economic benefits of enterprises, reducing the work burden of management personnel, and enhancing the overall management level of the building construction supply chain. Description of the Drawings

[0045] Figure 1 is a module diagram of a building material inventory control and automatic replenishment system based on the Internet of Things according to the present invention;

[0046] Figure 2 is a specific module diagram of the sensing unit in the present invention;

[0047] Figure 3 is a specific module diagram of the cloud server in the present invention;

[0048] Figure 4 is a specific module diagram of the digital twin virtual module in the present invention;

[0049] Figure 5 is a flowchart of a building material inventory control and automatic replenishment method based on the Internet of Things according to the present invention;

[0050] Figure 6 The specific flowchart of collecting various building material information and environmental data according to multiple sensors in the present invention;

[0051] Figure 7Another flowchart of a method for inventory control and automatic replenishment of building materials based on the Internet of Things according to the present invention. Detailed implementation manners

[0052] The technical solutions of the present invention will be described clearly and completely below with reference to the accompanying drawings. In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. These are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and should not be construed as indicating or implying relative importance.

[0053] The present invention will be further described below with reference to the accompanying drawings.

[0054] As Figure 1 shown, an inventory control and automatic replenishment system for building materials based on the Internet of Things includes: a data acquisition module 1, a cloud server 2, a replenishment module 3, a local terminal 4, a digital twin virtual module 5, and a transmission module 6.

[0055] The data acquisition module 1 is used to collect various building material information and environmental data according to a variety of sensors.

[0056] As Figure 1 shown, the data acquisition module 1 specifically includes: a weight sensor 11, a temperature and humidity sensor 12, a monitoring camera unit 13, and an induction unit 14.

[0057] The weight sensor 11 is installed at the bottom of the material stacking area and is used to monitor the remaining weight of various materials in real time.

[0058] The temperature and humidity sensor 12 is used to monitor the storage environment of temperature and humidity-sensitive materials.

[0059] The monitoring camera unit 13 is used to collect real-time images of the warehouse where the materials are physically stored.

[0060] The induction unit 14 is used to record the material name, specification, production date of various building materials by attaching radio frequency identification tags to each batch of material packages, and to monitor the material location, inventory quantity, and storage time in real time, and update the bin location status information and warehouse status information.

[0061] As Figure 2 shown, the induction unit 14 includes: an inbound unit 141 and an outbound unit 142.

[0062] The warehousing unit 141 attaches barcodes with material information to the materials to be warehoused, scans them for warehousing, and forms location status information, warehouse status information, and warehoused material information.

[0063] The outwarehousing unit 142 scans the barcodes of the materials to be outwarehoused and updates the location status information, warehouse status information, and outwarehoused material information.

[0064] The cloud server 2 is used to store, sort, and analyze real-time data, accurately calculate the key indicators of each material; it is also used to determine whether replenishment is needed based on the preset inventory warning threshold.

[0065] As Figure 3 shown, the cloud server 2 specifically includes: a data analysis unit 21, an intelligent prediction unit 22, and a determination unit 23.

[0066] The data analysis unit 21 is used to process, analyze, and model the collected data information through the digital model of the materials, and accurately calculate the key indicators of each material. The key indicators include but are not limited to the current inventory and consumption rate.

[0067] The intelligent prediction unit 22 is used to predict the demand and usage of materials based on the key indicators obtained from the analysis and calculation.

[0068] The determination unit 23 is used to determine whether replenishment is needed based on the preset inventory warning threshold for the predicted demand and usage of materials.

[0069] The replenishment module 3 is used to automatically trigger a replenishment instruction when it is determined that replenishment is needed, and send the replenishment order to the corresponding supplier through the information interaction platform with the supplier.

[0070] The local terminal 4 is built-in with a digital twin virtual module 5, which is used to visually display the updated inventory information of the shelves, locations, and building materials in the digital twin virtual module 5 according to the collected data information; it is also used to receive replenishment order information and track the replenishment progress.

[0071] In the embodiment, the digital twin virtual module 5 uses a high-precision three-dimensional laser scanner and its high-precision three-dimensional laser scanning technology to scan the warehouse, locations, and equipment to obtain three-dimensional point cloud data that is highly consistent with their shapes. As Figure 4 shown, the digital twin virtual module 5 specifically includes: an inventory query unit 51, a virtual human unit 52, and a display unit 53.

[0072] The inventory query unit 51 is used to determine the query result according to the output instruction and display the query result in real time.

[0073] The virtual human unit 52 is used to interconnect the patrol personnel with the system to obtain the spatial information of the patrol personnel, enabling the patrol personnel model to browse and roam in the three-dimensional scene.

[0074] The display unit 53 is used to display the real-time status of the warehouse shelves, storage locations, and the material information stored at the corresponding locations in the digital twin virtual module.

[0075] The transmission module 6 is used to transmit various types of building material information and environmental data collected according to wireless communication technology to the cloud server 2 and the local terminal 4.

[0076] In the embodiment, the wireless communication technology includes but is not limited to Wi-Fi, Bluetooth, 4G / 5G.

[0077] Such as Figure 5 、 7 As shown, a method for inventory control and automatic replenishment of building materials based on the Internet of Things includes:

[0078] Step S1: Collect various types of building material information and environmental data according to multiple sensors.

[0079] Such as Figure 6 As shown, step S1 specifically includes:

[0080] Step S11: Install weight sensors at the bottom of the material stacking area to monitor the remaining weight of various materials in real time.

[0081] Step S12: Monitor the storage environment of temperature and humidity sensitive materials through temperature and humidity sensors.

[0082] Step S13: Use the monitoring camera unit to collect real-time images of the warehouse where the materials are physically stored.

[0083] Step S14: Attach radio frequency identification tags to each batch of material packages to record the material name, specification, production date of various building materials, and to monitor the material location, inventory quantity, and storage time in real time, and update the storage location status information and warehouse status information.

[0084] Step S2: Store, organize, and analyze the real-time data to accurately calculate the key indicators of each material.

[0085] Step S3: Predict the demand and usage of materials based on the key indicators obtained from the analysis and calculation.

[0086] Step S4: Determine whether replenishment is required based on the predicted demand and usage of materials according to the preset inventory warning threshold.

[0087] Step S5, when it is determined that replenishment is needed, a replenishment instruction is automatically triggered. Through the information interaction platform with the supplier, the replenishment order is sent to the corresponding supplier, and the replenishment progress is tracked and followed up in real time.

[0088] Step S6, a high-precision three-dimensional laser scanner and its high-precision three-dimensional laser scanning technology are used to scan the warehouse, storage locations, and equipment to obtain three-dimensional point cloud data that is consistent with their external shapes and heights.

[0089] Step S7, the material information stored in the warehouse shelves, storage locations, and corresponding positions is displayed in real time through the three-dimensional point cloud data.

[0090] Step S8, by connecting the patrol personnel with the system, the spatial information of the patrol personnel is obtained, enabling the patrol personnel model to browse and roam in the three-dimensional scene.

[0091] In a large commercial complex building construction project, the system of the present invention is comprehensively deployed. Corresponding sensors are installed at key locations such as the steel stacking area, cement silos, and water and electricity pipe shelves in the construction site warehouse. At the initial stage of the project, the initial inventory data of various materials are entered based on the construction drawings and the progress plan. During the construction process, when workers pick up cement, the RFID reader automatically identifies it, and the weight sensor synchronously updates the inventory. The system calculates the consumption rate in real time. When the cement inventory drops to the warning line of the set three-day usage, the system automatically sends a replenishment order to the high-quality suppliers with long-term cooperation within 5 minutes. The order contains accurate specifications and quantity requirements, and a notification is pushed to the project manager's mobile phone in real time. After the supplier accepts the order, the system continuously tracks the logistics until a new batch of cement is delivered to the warehouse on time. The whole process is efficient and smooth. Compared with the traditional management method, the on-time delivery rate of materials in this project has increased by 20%, and the inventory cost has been reduced by 12%, effectively ensuring the smooth progress of the project.

[0092] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A building materials inventory control and automatic replenishment system based on the Internet of Things, characterized in that: include: Data acquisition module, used to collect various building materials information and environmental data based on multiple sensors; The cloud server is used to store, organize and analyze real-time data, accurately calculate the key indicators of each material, and determine whether replenishment is needed based on the preset inventory warning threshold; The replenishment module is used to automatically trigger the replenishment instruction when it is determined that replenishment is needed, and send the replenishment order to the corresponding supplier through the information interaction platform with the supplier; The local terminal has a built-in digital twin virtual module, which is used to update the inventory information corresponding to the shelves, cargo locations and building materials in the digital twin virtual module according to the collected data information, and is also used to receive replenishment order information and track and follow up the replenishment progress; The transmission module is used to transmit the collected various building material information and environmental data to the cloud server and the local terminal according to the wireless communication technology.

2. According to the Internet of Things-based building material inventory control and automatic replenishment system according to claim 1, it is characterized in that: The data acquisition module comprises: Weight sensors are installed at the bottom of the material stacking area to monitor the remaining weight of various materials in real time; Temperature and humidity sensors are used to monitor the storage environment of temperature and humidity sensitive materials; A surveillance camera unit, which is used to collect real-time images of the warehouse where the physical materials are stored; The sensing unit attaches radio frequency identification tags to each batch of material packaging to record the material name, specification, and production date of various building materials, and monitors the material location, inventory, and storage time in real time, and updates the storage location status information and warehouse status information.

3. The building material inventory control and automatic replenishment system based on the Internet of Things according to claim 2 is characterized in that: The sensing unit comprises: The warehousing unit attaches barcodes with material information to the materials to be warehousing, and scans them for warehousing, generating information on the storage location status, warehouse status, and incoming materials; The outbound unit scans the barcodes of the materials that need to be outbound, and updates the storage location status information, warehouse status information and outbound material information.

4. The building material inventory control and automatic replenishment system based on the Internet of Things according to claim 1 is characterized in that: The cloud server includes: Data analysis unit, used to process, analyze and model the collected data information through the digital model of the material, and accurately calculate the key indicators of each material, including but not limited to the current inventory and consumption rate; Intelligent forecasting unit, used to forecast the demand and usage of materials based on key indicators obtained through analysis and calculation; The determination unit is used to determine whether replenishment is needed based on the predicted demand and usage of materials according to the preset inventory warning threshold.

5. The building material inventory control and automatic replenishment system based on the Internet of Things according to claim 1 is characterized in that: The digital twin virtual module uses a high-precision three-dimensional laser scanner and its high-precision three-dimensional laser scanning technology to scan the warehouse, storage location and equipment to obtain three-dimensional point cloud data that is highly consistent with their appearance. The digital twin virtual module includes: The inventory query unit is used to determine the query result according to the output instruction and display the query result in real time; The virtual human unit is used to obtain the spatial information of the patrol personnel by connecting the patrol personnel with the system, so that the patrol personnel model can browse and roam in the three-dimensional scene; The display unit is used to display the real-time status of the warehouse shelves, storage locations and material information stored in the corresponding positions in the digital twin virtual module.

6. The building material inventory control and automatic replenishment system based on the Internet of Things according to claim 1 is characterized in that: In the transmission module, wireless communication technologies include but are not limited to Wi-Fi, Bluetooth, and 4G / 5G.

7. A method for building material inventory control and automatic replenishment based on the Internet of Things, characterized in that: include: Step S1, collecting various building material information and environmental data using a variety of sensors; Step S2, storing, sorting and analyzing the real-time data, and accurately calculating the key indicators of each material; Step S3, predicting the demand and usage of materials based on the key indicators obtained through analysis and calculation; Step S4, judging the predicted demand and usage of materials based on the preset inventory warning threshold, and whether replenishment is needed; Step S5, when it is determined that replenishment is needed, a replenishment instruction is automatically triggered, and the replenishment order is sent to the corresponding supplier through the information interaction platform with the supplier, and the replenishment progress is tracked and followed up in real time.

8. The method for building material inventory control and automatic replenishment based on the Internet of Things according to claim 7 is characterized in that: The step S1 comprises: Step S11, by installing a weight sensor at the bottom of the material stacking area, the remaining weight of each type of material is monitored in real time; Step S12, monitoring the storage environment of temperature and humidity sensitive materials through a temperature and humidity sensor; Step S13, using a monitoring camera unit to collect real-time images of the warehouse where the materials are physically stored; Step S14, by attaching RFID tags to each batch of material packaging, it is used to record the material name, specification, production date of various building materials, and monitor the material location, inventory, storage time in real time, and update the storage location status information and warehouse status information.

9. The method for building material inventory control and automatic replenishment based on the Internet of Things according to claim 7 is characterized in that: Also includes: Step S6, using a high-precision 3D laser scanner and its high-precision 3D laser scanning technology to scan the warehouse, storage location and equipment to obtain 3D point cloud data that is highly consistent with their appearance; Step S7, displaying warehouse shelves, storage locations, and material information stored at corresponding locations in real time through three-dimensional point cloud data; Step S8, by connecting the inspection personnel with the system, the spatial information of the inspection personnel is obtained, so that the inspection personnel model browses and roams in the three-dimensional scene.

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