Warehouse inventory checking intelligent cooperation system and method based on Android device
By adopting an intelligent collaboration system for warehouse inventory based on Android devices in large-scale warehouses, the problems of poor accuracy, low efficiency and untimely exception handling during the inventory process are solved, and an efficient, accurate and coordinated inventory process is achieved.
Patent Information
- Application Number
- CN202411866370.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-05-02
AI Technical Summary
Large warehouses have problems such as poor accuracy, low efficiency and untimely handling of abnormal situations during cargo inventory.
It adopts an intelligent collaboration system for warehouse inventory based on Android devices, including Android handheld devices, servers, indoor positioning systems, three-dimensional inventory maps and surveillance cameras, and realizes automatic task allocation, real-time location positioning and exception handling through wireless communication and real-time data sharing.
It improves inventory efficiency, enhances inventory accuracy, optimizes collaboration, and facilitates exception handling, ensuring efficient, accurate and timely inventory process.
Smart Images
Figure CN119919054A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent warehousing, and in particular to an Android device-based warehouse inventory counting intelligent collaboration system and method. Background Art
[0002] In large-scale warehouse management, inventory counting is an important and complex task. Traditional inventory counting methods often rely on manual recording of cargo information and then unified summary, which is inefficient and prone to errors. With the development of information technology, although there are some inventory counting solutions based on computer systems, they are still insufficient in terms of collaboration, real-time and accuracy. For example, information sharing between multiple staff members is not timely, work allocation cannot be dynamically adjusted according to the inventory progress, and the discovery and handling of abnormal situations are not timely and accurate enough. At the same time, in the complex environment of large warehouses, it is difficult for staff to accurately determine the relationship between their own location and the inventory counting range, which may lead to omissions or duplications in inventory counting. Summary of the invention
[0003] The purpose of the present invention is to propose an intelligent collaborative system and method for warehouse inventory counting based on Android devices to solve the technical problems of poor accuracy, low efficiency and untimely handling of abnormal situations in the process of cargo inventory counting in large warehouses.
[0004] The present invention provides an Android device-based warehouse inventory intelligent collaboration system, comprising:
[0005] Android handheld devices, servers, indoor positioning systems, 3D inventory maps, and surveillance cameras;
[0006] The Android handheld device is connected to the server and the indoor positioning system via wireless communication;
[0007] The three-dimensional inventory map is stored in the server;
[0008] The surveillance camera and the server transmit signals via a wireless network.
[0009] An Android-based warehouse inventory counting intelligent collaboration method is applied to an Android-based warehouse inventory counting intelligent collaboration system, and the method includes the following steps:
[0010] S1. Deployment of an intelligent collaborative warehouse inventory counting system based on Android devices;
[0011] S2. Start the inventory task, the server issues the inventory task list, and distributes it to each Android handheld device;
[0012] S3, the Android handheld device downloads the corresponding three-dimensional inventory map according to its own location and enters the warehouse;
[0013] S4. Use an Android handheld device to count the goods and update the count data to the server;
[0014] S5. The server summarizes and analyzes the inventory data to complete the intelligent collaborative inventory.
[0015] The beneficial effects provided by the present invention are:
[0016] 1. Improve inventory efficiency: Through real-time data sharing and automatic task allocation, communication costs and work duplication among staff are reduced, and inventory tasks can be completed quickly.
[0017] 2. Enhance inventory accuracy: Indoor positioning and three-dimensional inventory maps are used to avoid inventory omissions and duplications. At the same time, real-time data comparison and abnormal prompt functions help to promptly discover and correct inventory errors.
[0018] 3. Optimize collaboration: Multiple staff members can understand each other's work progress and the status of the entire inventory work in real time through Android devices, facilitating collaborative work.
[0019] 4. Easy exception handling: Timely exception marking and cause prompts, as well as integration with surveillance cameras, make it convenient for staff to quickly handle problems during the inventory process. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 It is a structural schematic diagram of the system of the present invention;
[0021] Figure 2 It is a schematic diagram of an inventory indication unit;
[0022] Figure 3 It is a schematic diagram of the inventory unit;
[0023] Figure 4 It is a three-dimensional inventory map schematic;
[0024] Figure 5 is to view the surveillance video schematic diagram;
[0025] Figure 6 It is a diagram of the inventory process. DETAILED DESCRIPTION
[0026] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0027] Before formally describing the present invention, the scheme of the present invention is first generally described for easy understanding.
[0028] Please refer to Figure 1 , Figure 1 It is a schematic diagram of the structure of the system of the present invention.
[0029] Android handheld devices, servers, indoor positioning systems, 3D inventory maps, and surveillance cameras;
[0030] The Android handheld device is connected to the server and the indoor positioning system via wireless communication;
[0031] The three-dimensional inventory map is stored in the server;
[0032] The surveillance camera and the server transmit signals via a wireless network.
[0033] It should be noted that Android handheld devices are terminals for staff to perform inventory operations. Each device has the function of scanning cargo labels (through integrated barcode scanning or RFID reading modules), communicating with servers (through Wi-Fi or cellular networks), receiving indoor positioning signals, and displaying operation interfaces.
[0034] As an embodiment, in the present invention, the Android handheld device includes: a scanning module, a communication module, an interaction module and a local cache module. As mentioned above, the scanning module is used to scan the cargo labels in the warehouse; the communication module is used to communicate with the server and the indoor positioning system; the interaction module is used to display the operation interface, which includes: an inventory indication unit and an inventory unit for performing warehouse inventory; the local cache module is used to store local cargo information.
[0035] Please refer to Figure 2 and Figure 3 , Figure 2 It is a schematic diagram of an inventory indication unit; Figure 3 It is a schematic diagram of the inventory unit.
[0036] from Figure 2 It can be seen from the above that the inventory indication unit includes: inventory order number, inventory time and inventory status; Figure 3 It can be seen that the inventory counting unit includes: warehouse area, warehouse location, barcode, material code, material specification, supplier, production date, inventory type, batch, status, number of items to be counted and number of items actually counted.
[0037] It should be noted that the server is used to deploy the WMS system, store inventory information, inventory task allocation information, staff information, etc., and process and analyze data uploaded from Android devices.
[0038] It should be noted that the indoor positioning system (UWB ultra-wideband positioning system) is deployed in the warehouse and can accurately determine the three-dimensional position coordinates of the Android handheld device in the warehouse.
[0039] Please refer to Figure 4 , Figure 4It is a schematic diagram of a three-dimensional inventory map. It should be noted that the three-dimensional inventory map is a digital model of the warehouse inventory layout, which corresponds one-to-one with the actual shelves, cargo areas, etc. of the warehouse. It is stored in the server and can be downloaded to the Android device for navigation and inventory range determination.
[0040] It should be noted that surveillance cameras are distributed throughout the warehouse and connected to the server to provide video recording and viewing functions when abnormal situations are detected.
[0041] An Android-based warehouse inventory counting intelligent collaboration method is applied to an Android-based warehouse inventory counting intelligent collaboration system, and the method includes the following steps:
[0042] S1. Deployment of an intelligent collaborative warehouse inventory counting system based on Android devices;
[0043] As an embodiment, the deployment process in the present invention is as follows:
[0044] Install an indoor positioning system (such as a UWB base station) in the warehouse to ensure that the entire warehouse area is covered to achieve accurate positioning of Android handheld devices.
[0045] Install surveillance cameras to ensure that all key areas and shelf aisles in the warehouse are within the monitoring range, connect the cameras to the server, and configure video storage and access permissions.
[0046] Build a warehouse management system on the server, including inventory database, task allocation module, data processing module, etc., and enter the three-dimensional inventory map data into the system.
[0047] Equip staff with Android handheld devices, install inventory applications, configure communication parameters between the device and the server (WiFi access point, server address, etc.), and train staff on their use.
[0048] S2. Start the inventory task, the server issues the inventory task list, and distributes it to each Android handheld device;
[0049] It should be noted that when the inventory task is started, the WMS system issues an inventory task order and assigns the inventory task to each Android handheld device (according to the person who logs in to the device).
[0050] S3, the Android handheld device downloads the corresponding three-dimensional inventory map according to its own location and enters the warehouse;
[0051] It should be noted that the staff opens the inventory counting application on the Android handheld device and automatically downloads the task information and three-dimensional inventory map after logging in. After entering the warehouse, the device determines its own position based on the signal of the indoor positioning system and displays the inventory counting task area on the map.
[0052] S4. Use an Android handheld device to count the goods and update the count data to the server;
[0053] In step S4, the goods are counted, specifically:
[0054] An Android handheld device is used to scan the labels of goods in the warehouse. After the scanning is completed, the goods information displayed by the device is compared with the goods information stored in the local cache module. If there is a difference, the scanned new data is transmitted to the server.
[0055] Specifically, the staff follows the map instructions to the inventory area and uses the device to scan the cargo label. After the scan is successful, the device displays the cargo information and compares it with the local cache data, and uploads the data to the server. After the server updates the inventory data, it pushes the new data to other devices.
[0056] S5. The server summarizes and analyzes the inventory data to complete the intelligent collaborative inventory.
[0057] It should be noted that the server's analysis of the inventory data in step S5 specifically includes: if the inventory data exceeds the original data preset by the server, the server will send an exception to the Android handheld device. At this time, the Android handheld device personnel will check the video surveillance collected by the camera in the corresponding area based on the exception, and conduct abnormality investigation and tracing.
[0058] As an example, please refer to Figure 5 , Figure 5 It is to view the surveillance video diagram.
[0059] During the inventory process, the staff can view the inventory progress and the inventory area through the device. If the server finds abnormal data, the device will receive an abnormal prompt, and the staff will go to the abnormal area to handle it according to the prompt. During the processing, you can view the surveillance video (such as Figure 5 ) to assist in making judgments.
[0060] Finally, when all inventory tasks are completed, the server summarizes and analyzes the entire inventory data and generates an inventory report. The report content includes the total inventory, goods differences, abnormal situation statistics, etc.
[0061] Staff receive notifications of inventory completion on their Android devices and can view a summary of the inventory report. If necessary, they can further view detailed report content on the device to facilitate subsequent inventory adjustments and problem tracing.
[0062] In general, the main key points of the present invention are the system architecture and the inventory process. Figure 6 , Figure 6 It is a diagram of the inventory process.
[0063] Summarize the inventory process, including the following:
[0064] (1) Task allocation and initialization
[0065] The server automatically generates inventory tasks based on the warehouse's inventory area divisions and the number of staff, and distributes task information (including inventory area range, cargo type, etc.) to each Android handheld device.
[0066] At the same time, the Android device downloads the latest 3D inventory map and related inventory data (such as material name, number, inventory count, etc.) from the server.
[0067] Workers enter the warehouse with Android handheld devices. The Android devices determine their initial location through the indoor positioning system and display the current location and inventory task area on the three-dimensional inventory map.
[0068] (2) Inventory operation
[0069] The staff uses an Android handheld device to scan the cargo label, and the device automatically obtains the cargo information and compares it with the locally cached inventory data. The scanned cargo information is uploaded to the server in real time via Wi-Fi or cellular network.
[0070] After receiving the cargo information, the server updates the inventory data and pushes the updated information to other Android devices that are taking inventory in real time to achieve data sharing.
[0071] While scanning the goods, the Android device continuously updates its own location through the indoor positioning system and marks the counted areas on the three-dimensional inventory map to avoid duplicate counts.
[0072] (3) Exception handling
[0073] The server analyzes the data uploaded by each Android device. If it finds that the inventory data in a certain area is abnormal (such as the number of goods is too different from the last inventory, the cargo label information does not match, etc.), it will mark the area on all relevant Android devices and prompt possible reasons (such as incorrect placement of goods, damaged labels, etc.).
[0074] Staff can go to the abnormal area for re-checking according to the prompts. At the same time, they can view the real-time video or historical video clips of nearby surveillance cameras through Android devices to assist in judging abnormal situations.
[0075] The beneficial effects of the present invention are:
[0076] 1. Improve inventory efficiency: Through real-time data sharing and automatic task allocation, communication costs and work duplication among staff are reduced, and inventory tasks can be completed quickly.
[0077] 2. Enhance inventory accuracy: Indoor positioning and three-dimensional inventory maps are used to avoid inventory omissions and duplications. At the same time, real-time data comparison and abnormal prompt functions help to promptly discover and correct inventory errors.
[0078] 3. Optimize collaboration: Multiple staff members can understand each other's work progress and the status of the entire inventory work in real time through Android devices, facilitating collaborative work.
[0079] 4. Easy exception handling: Timely exception marking and cause prompts, as well as integration with surveillance cameras, make it convenient for staff to quickly handle problems during the inventory process.
[0080] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. An intelligent collaborative system for warehouse inventory counting based on Android devices, characterized by: include: Android handheld devices, servers, indoor positioning systems, 3D inventory maps, and surveillance cameras; The Android handheld device is connected to the server and the indoor positioning system via wireless communication; The three-dimensional inventory map is stored in the server; The surveillance camera and the server transmit signals via a wireless network.
2. The warehouse inventory counting intelligent collaboration system based on Android devices as claimed in claim 1, characterized in that: The Android handheld device comprises: a scanning module, a communication module, an interaction module and a local cache module.
3. The warehouse inventory counting intelligent collaboration system based on Android devices as claimed in claim 2, characterized in that: The scanning module is used to scan the cargo labels in the warehouse; The communication module is used to communicate with the server and the indoor positioning system; the interaction module includes: an inventory indication unit and an inventory unit, which are used to perform warehouse inventory; The local cache module is used to store local cargo information.
4. The warehouse inventory counting intelligent collaboration system based on Android devices as claimed in claim 3, characterized in that: The inventory indication unit includes: inventory number, inventory time and inventory status.
5. The warehouse inventory counting intelligent collaboration system based on Android devices as claimed in claim 3, characterized in that: The inventory counting unit includes: warehouse area, warehouse location, barcode, material code, material specification, supplier, production date, inventory type, batch, status, number of items to be counted and number of items actually counted.
6. An Android-based warehouse inventory counting intelligent collaboration method, applied to an Android-based warehouse inventory counting intelligent collaboration system as claimed in any one of claims 1 to 5, characterized in that: The method comprises the following steps: S1. Deployment of an intelligent collaborative warehouse inventory counting system based on Android devices; S2. Start the inventory task, the server issues the inventory task list, and distributes it to each Android handheld device; S3, the Android handheld device downloads the corresponding three-dimensional inventory map according to its own location and enters the warehouse; S4. Use an Android handheld device to count the goods and update the count data to the server; S5. The server summarizes and analyzes the inventory data to complete the intelligent collaborative inventory.
7. The method for warehouse inventory counting based on Android devices as claimed in claim 6, characterized in that: In step S4, the goods are counted, specifically: An Android handheld device is used to scan the labels of goods in the warehouse. After the scanning is completed, the goods information displayed by the device is compared with the goods information stored in the local cache module. If there is a difference, the scanned new data is transmitted to the server.
8. The method for warehouse inventory counting based on Android devices as claimed in claim 6, characterized in that: In step S5, the server analyzes the inventory data specifically including: if the inventory data exceeds the original data preset by the server, the server will send an exception to the Android handheld device. At this time, the Android handheld device personnel will check the video surveillance collected by the camera in the corresponding area based on the exception, and conduct abnormality investigation and tracing.