Smart storage fine management system and method based on Internet of Things
By adopting Internet of Things technology and RFID tags in the warehousing management system, combining multiple sensors and intelligent comparison modules, the security vulnerabilities of goods entering and leaving the warehouse in the existing warehousing management technology are solved, achieving higher security and data accuracy.
Patent Information
- Application Number
- CN202510128169.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-27
- Publication Date
- 2025-05-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing warehousing management technology has security loopholes when goods enter and exit the warehouse, and is susceptible to human operational errors, malicious behavior of internal personnel or technical security loopholes, resulting in theft.
The smart warehousing refined management system based on the Internet of Things is adopted, including the cargo monitoring module, the cargo outbound module, the intelligent comparison module and the warehousing alarm module. It detects the cargo data in real time through multiple sensors, generates RFID tags, and performs data comparison and alarm notifications to ensure the consistency and security of the data when the cargo enters and leaves the warehouse.
It effectively avoids theft or loss of goods, improves the safety and accuracy of warehousing management, and ensures the consistency and accuracy of cargo data.
Smart Images
Figure CN119990977A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of warehouse management, and in particular to a refined intelligent warehouse management system and method based on the Internet of Things. Background Art
[0002] Smart warehousing refers to a warehouse management model that uses modern information technology, artificial intelligence, the Internet of Things, automated equipment and other technical means to improve warehouse management efficiency, reduce costs, and improve precision and flexibility. It achieves more efficient, safe and accurate warehouse management through intelligent management of warehouse resources, processes, equipment, etc., to achieve automated operations, real-time monitoring and data analysis.
[0003] Current warehouse management usually uses technologies such as barcodes and RFID when goods are in and out of the warehouse, so as to achieve accurate and rapid completion of operations such as goods entering, leaving the warehouse, and inventory. However, there are still certain security loopholes, which make the goods in the warehouse vulnerable to human operational errors, malicious behavior of internal personnel or technical security loopholes, leading to theft. Although barcode and RFID technologies can track goods, if there is a lack of effective personnel supervision and safety protection measures, barcodes and RFID tags will be maliciously damaged by personnel, resulting in the theft of goods. Therefore, the effect is poor in actual use. Summary of the invention
[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent warehouse refined management system and method based on the Internet of Things.
[0005] In order to achieve the above purpose, the present invention adopts the following technical solution: a smart warehouse refined management system based on the Internet of Things, the system includes a cargo monitoring module, a cargo outbound module, an intelligent comparison module and a warehouse alarm module: The cargo monitoring module is used to collect cargo information stored in the warehouse through the cargo warehousing module, generate RFID tags corresponding to the cargo based on the collected information, and perform real-time detection and monitoring of the location for storing cargo in the warehouse through the monitoring module; The cargo outbound module is used to detect the normal outbound cargo through the cargo detection module, obtain the actual data of the cargo, scan the cargo RFID tag, extract the RFID data of the cargo, determine the accuracy of the cargo data, and classify and transport the detected cargo through the cargo sorting module; The intelligent comparison module is used to collect data changes caused by the removal of goods from the storage location in the warehouse and data detected when the goods are shipped out of the warehouse through the data collection module, and compare the collected data through the data comparison module to determine the consistency between the warehouse goods reduction data and the goods shipment data; The storage alarm module is used to send abnormal information to the background management personnel through the information notification module when an abnormality occurs in the data comparison, and to notify the warehouse management personnel through the alarm broadcast module when the management personnel determine that the goods are abnormal.
[0006] As a further solution of the present invention, the cargo monitoring module includes a cargo warehousing module and a monitoring module; The goods warehousing module includes a data collection terminal and a label generation terminal; The data collection terminal is used to collect various information data of the goods when the goods are put into storage; The label generating end is used to generate an RFID label corresponding to the goods according to the collected data.
[0007] As a further solution of the present invention, the monitoring module includes one or more combinations of weight sensors, visual sensors, laser radars, pressure sensors, and ultrasonic sensors, etc., for real-time detection of data on goods in the warehouse.
[0008] As a further solution of the present invention, the cargo outbound module includes a cargo detection module and a cargo sorting module; The cargo detection module includes a label scanning end and an actual data detection end; The label scanning end is used to scan the RFID label attached to the surface of the outbound goods, identify the corresponding goods information, and extract the goods information of the corresponding label; The actual data detection terminal is used to detect the actual information of the goods leaving the warehouse.
[0009] As a further solution of the present invention, the cargo sorting module includes a checking end and a sorting end; The checking end is used to check the actual information of the detected goods with the information obtained by scanning the RFID; The sorting terminal is used to classify the checked goods according to the accuracy of the goods data.
[0010] As a further solution of the present invention, the intelligent comparison module includes a data collection module and a data comparison module; The data collection module includes a cargo storage end and a cargo outbound end; The cargo storage terminal is used to collect changes in various data of the cargo when the cargo is moved from the storage location; The cargo outbound terminal is used to collect outbound cargo data whose actual cargo information is consistent with the RFID information.
[0011] As a further solution of the present invention, the data comparison module includes an identification end and a comparison end; The identification terminal is used to extract data changes caused when the goods are moved from the storage location, and determine the type of the goods moved in combination with a pre-established warehouse goods database; The comparison end is used to compare the types of goods detected during normal outbound delivery with the types of goods reduced in the warehouse.
[0012] As a further solution of the present invention, the storage alarm module includes an information notification module and an alarm broadcast module; The information notification module includes an information sending end and an instruction receiving end; The information sending end is used to notify the back-end management personnel by sending a text message or a system pop-up window when an abnormality is found in the comparison between the warehouse goods and the outbound goods, and the back-end management personnel shall judge the abnormality; The instruction receiving end is used to receive and identify the judgment of the management personnel on the abnormal situation.
[0013] As a further solution of the present invention, the alarm broadcast module is used to issue abnormal intelligence in the warehouse area to alert warehouse staff when receiving an instruction determined to be an abnormal situation.
[0014] A refined management method for smart warehousing based on the Internet of Things, according to any one of claims 1 to 9, the refined management system for smart warehousing based on the Internet of Things, the method comprising: A1. Collect information about goods stored in the warehouse, generate RFID tags corresponding to the goods, attach the tags to the goods and store them in the warehouse. Install detection sensors according to the storage location of the goods in the warehouse to monitor the overall data of the goods in real time. A2. Establish a warehouse cargo database based on the data detectable by the sensor, detect the data changes when the cargo is moved from the storage location, determine the type of cargo to be moved out by combining with the warehouse cargo database, and generate a data table for the cargo to be moved out; A3. Configure the cargo outbound device to scan the RFID tags of normal outbound cargo, detect the actual information of the outbound cargo, compare the RFID tag information with the actual information, and classify the cargo according to the consistency between the actual information of the cargo and the RFID tag information; A4. Extract the cargo information that is consistent with the actual information and the RFID tag information, compare it with the removed cargo data table, and determine whether the corresponding cargo moved out of the storage location is shipped out normally based on the consistency of the cargo information; A5. If the outbound cargo information is inconsistent with the cargo data sheet, or the cargo on the cargo data sheet does not match the outbound cargo information within the specified time, it will be considered an abnormal situation and the back-end management personnel will be notified to make a judgment. Based on the judgment information, it will be determined whether to notify the warehouse management personnel for investigation.
[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, a plurality of sensors are used to detect the cargo storage in real time, and a data collection module is used to extract data changes caused when the cargo is moved from the storage, and the moved cargo is identified and recorded according to the data changes. At this time, after the cargo is normally shipped out through the cargo outbound module, the scanned information will be uploaded to the intelligent comparison module, and the outbound cargo information will be compared with the cargo information moved out of the storage through the intelligent comparison module. If the information corresponds, it means that the cargo is normally shipped out. If the information is inconsistent or the cargo moved out of the storage has no corresponding outbound cargo within a certain period of time, it is regarded as an abnormal situation of the cargo, and the management personnel can be notified to conduct timely investigation, thereby effectively preventing the cargo from being stolen and lost.
[0016] In the present invention, the goods entering the warehouse are inspected by the goods entering the warehouse and RFID tags containing basic information of the goods are produced. In conjunction with the outbound inspection device configured in the goods outbound process, the RFID tags attached to the surface of the goods can be scanned when the goods are outbound, and the actual information of the goods can be inspected again. Finally, the actual information of the goods is checked against the information contained in the goods RFID tags by the goods inspection module to ensure the consistency of data when the goods enter and leave the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 The present invention is a flow chart of the method. DETAILED DESCRIPTION
[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0019] Embodiment 1 See also Figure 1 The present invention provides a technical solution: a smart warehouse refined management system based on the Internet of Things, the system includes a cargo monitoring module, a cargo outbound module, an intelligent comparison module and a warehouse alarm module: The cargo monitoring module is used to collect information about cargo stored in the warehouse through the cargo entry module, generate RFID tags corresponding to the cargo based on the collected information, and perform real-time detection and monitoring of the location for storing cargo in the warehouse through the monitoring module; The cargo outbound module is used to detect the normal outbound cargo through the cargo detection module, obtain the actual data of the cargo, scan the cargo RFID tag, extract the RFID data of the cargo, determine the accuracy of the cargo data, and classify and transport the detected cargo through the cargo sorting module; The intelligent comparison module is used to collect data changes caused by the removal of goods from the storage location in the warehouse and data detected when the goods are shipped out of the warehouse through the data collection module, and compare the collected data through the data comparison module to determine the consistency between the warehouse goods reduction data and the goods shipment data; The warehouse alarm module is used to send abnormal information to the back-end management personnel through the information notification module when an abnormality occurs in the data comparison, and to notify the warehouse management personnel through the alarm broadcast module when the management personnel determine that the goods are abnormal.
[0020] The cargo monitoring module includes a cargo warehousing module and a monitoring module. The cargo warehousing module includes a data acquisition terminal and a label generation terminal. The data acquisition terminal is used to collect various information data of the cargo when the cargo is put into the warehouse, such as the appearance size and weight of the cargo. The label generation terminal is used to generate an RFID tag corresponding to the cargo based on the collected data. RFID is radio frequency identification technology, which transmits data through radio waves and can be used to automatically identify items and track their location and status. The RFID system consists of RFID tags, RFID readers and writers, and a background data management system. When the RFID tag is detected by the RFID reader, the tag will be identified, and the cargo information data corresponding to the tag can be found through the background data management system.
[0021] The monitoring module includes a combination of one or more weight sensors, visual sensors, laser radars, pressure sensors, and ultrasonic sensors, which are used to monitor the data of goods in the warehouse in real time. The weight sensor is to install a weighing sensor at the location where the goods are stacked to measure the weight of the goods in real time. The change in weight can reflect the entry and exit, increase and decrease of the goods. The visual sensor is to install a camera and an image processing system to monitor the change of goods. Computer vision can analyze images in real time to identify the location and quantity of goods. The laser radar uses laser radar technology to scan the warehouse space and obtain the location and quantity of goods by the time and intensity of reflected light. The laser radar can establish a high-precision three-dimensional map in space to monitor the storage location of the goods. The pressure sensor is to install a pressure sensor on the shelf or the cargo stacking area to monitor the pressure change of the object to infer the quantity or weight change of the goods. The ultrasonic sensor measures the distance change of the object by emitting ultrasonic waves and receiving reflected waves. By measuring the distance change between the goods and the sensor, the quantity change of the goods can be estimated. By integrating multiple sensors into a unified network, an Internet of Things system can be formed. The cloud platform processes and analyzes data in real time, thereby monitoring the quantity change of stored goods in real time.
[0022] The cargo outbound module includes a cargo detection module and a cargo sorting module. The cargo detection module includes a label scanning end and an actual data detection end. The label scanning end is used to scan the RFID tag attached to the surface of the outbound cargo, identify the corresponding cargo information, and extract the cargo information of the corresponding label. The actual data detection end is used to detect the actual information of the outbound cargo. The cargo outbound module is equipped with a cargo outbound device. A high-precision counting module is integrated in the device. It uses advanced optical imaging technology and intelligent image recognition algorithms to pre-enter a feature library of common cargo shapes, sizes, label styles, etc. to achieve fast feature matching and simultaneously embed a weight sensing unit to perform real-time verification of the actual weight of the cargo when the cargo passes through, which is verified with the optical recognition results to form a strict outbound data collection defense line.
[0023] The cargo sorting module includes a checking end and a sorting end. The checking end is used to check the actual information of the detected cargo with the information obtained by scanning the RFID, and the sorting end is used to classify the checked cargo according to the accuracy of the cargo data. The cargo sorting module cooperates with mechanical equipment such as a robotic arm to remove cargo whose detection information is inconsistent with the information obtained by scanning the RFID for inspection by staff, while cargo whose detection information is consistent with the information obtained by scanning the RFID passes through the sorting device normally. The checked information includes the weight, size, shape, etc. of the cargo.
[0024] The intelligent comparison module includes a data collection module and a data comparison module. The data collection module includes a cargo storage end and a cargo outbound end. The cargo storage end is used to collect changes in various cargo data caused when the cargo is moved from the storage location, such as changes in weight and pressure detected by weight sensors and pressure sensors, and actual cargo change images detected by visual sensors and laser sensors. The cargo outbound end is used to collect outbound cargo data whose actual cargo information is consistent with RFID information.
[0025] The data comparison module includes an identification end and a comparison end. The identification end is used to extract data changes caused when the goods are moved from the storage location, and determine the types of goods moved out in combination with the pre-established warehouse goods database. The comparison end is used to compare the types of goods detected during normal outbound delivery with the types of goods reduced in the warehouse. The types of warehouse goods databases can be relational databases, NoSQL databases, graph databases, time series databases, and distributed databases. Relational databases are suitable for processing structured data and supporting complex queries. These databases organize data in the form of tables, rows, and columns, and provide powerful data consistency and transaction processing capabilities. NoSQL databases are suitable for processing large-scale, high-concurrency and flexible data storage. Graph databases are suitable for processing data related to complex relationships. Time series databases are suitable for storing and analyzing data that changes over time. Distributed databases distribute data through multiple nodes, which can process large amounts of data and ensure high availability and fault recovery capabilities.
[0026] The warehouse alarm module includes an information notification module and an alarm broadcast module. The information notification module includes an information sending end and an instruction receiving end. The information sending end is used to notify the back-end management personnel by sending text messages or system pop-up windows when an abnormality is found in the comparison between warehouse goods and outbound goods. For example, the pop-up window prompt on the operation terminal uses a striking visual warning to pop up a bright and eye-catching abnormal notification on the manager's daily operation interface at the first time to attract attention. Mobile phone SMS notification uses a widely covered mobile communication network to ensure that even if the management personnel are not at the warehouse site, they can receive alarm information anytime and anywhere, and the back-end management personnel can judge the abnormal situation. The instruction receiving end is used to receive and identify the management personnel's judgment on the abnormal situation.
[0027] The alarm broadcast module is used to issue abnormal intelligence in the warehouse area to alert warehouse staff when receiving instructions that are determined to be abnormal situations. The warehouse broadcast voice broadcast uses the warehouse's internal loudspeaker system to convey abnormal situations to surrounding staff in real time, achieving sound coverage, allowing relevant personnel to quickly know and take action, and comprehensively ensuring the timeliness and effectiveness of abnormal information transmission.
[0028] Embodiment 2 Further improvements have been made on the basis of Example 1: See also Figure 2 , a refined management method for smart warehousing based on the Internet of Things, including: A1. Collect information about goods stored in the warehouse, generate RFID tags corresponding to the goods, attach the tags to the goods and store them in the warehouse. Install detection sensors according to the storage location of the goods in the warehouse to monitor the overall data of the goods in real time. A2. Establish a warehouse cargo database based on the data detectable by the sensor, detect the data changes when the cargo is moved from the storage location, determine the type of cargo to be moved out by combining with the warehouse cargo database, and generate a data table for the cargo to be moved out; A3. Configure the cargo outbound device to scan the RFID tags of normal outbound cargo, detect the actual information of the outbound cargo, compare the RFID tag information with the actual information, and classify the cargo according to the consistency between the actual information of the cargo and the RFID tag information; A4. Extract the cargo information that is consistent with the actual information and the RFID tag information, compare it with the removed cargo data table, and determine whether the corresponding cargo moved out of the storage location is shipped out normally based on the consistency of the cargo information; A5. If the outbound cargo information is inconsistent with the cargo data sheet, or the cargo on the cargo data sheet does not match the outbound cargo information within the specified time, it will be considered an abnormal situation and the back-end management personnel will be notified to make a judgment. Based on the judgment information, it will be determined whether to notify the warehouse management personnel for investigation.
[0029] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.
Claims
1. The intelligent warehouse refined management system based on the Internet of Things is characterized by: The system includes a cargo monitoring module, a cargo outbound module, an intelligent comparison module, and a storage alarm module: The cargo monitoring module is used to collect cargo information stored in the warehouse through the cargo warehousing module, generate RFID tags corresponding to the cargo based on the collected information, and perform real-time detection and monitoring of the location for storing cargo in the warehouse through the monitoring module; The cargo outbound module is used to detect the normal outbound cargo through the cargo detection module, obtain the actual data of the cargo, scan the cargo RFID tag, extract the RFID data of the cargo, determine the accuracy of the cargo data, and classify and transport the detected cargo through the cargo sorting module; The intelligent comparison module is used to collect data changes caused by the removal of goods from the storage location in the warehouse and data detected when the goods are shipped out of the warehouse through the data collection module, and compare the collected data through the data comparison module to determine the consistency between the warehouse goods reduction data and the goods shipment data; The storage alarm module is used to send abnormal information to the background management personnel through the information notification module when an abnormality occurs in the data comparison, and to notify the warehouse management personnel through the alarm broadcast module when the management personnel determine that the goods are abnormal.
2. According to the Internet of Things-based intelligent warehouse refined management system and method thereof according to claim 1, it is characterized in that: The cargo monitoring module includes a cargo warehousing module and a monitoring module; The goods warehousing module includes a data collection terminal and a label generation terminal; The data collection terminal is used to collect various information data of the goods when the goods are put into storage; The label generating end is used to generate an RFID label corresponding to the goods according to the collected data.
3. According to the Internet of Things-based smart warehouse refined management system and method thereof as claimed in claim 2, it is characterized in that: The monitoring module includes a combination of one or more weight sensors, visual sensors, laser radars, pressure sensors, and ultrasonic sensors, and is used to perform real-time detection of data on goods in the warehouse.
4. According to the Internet of Things-based intelligent warehouse refined management system and method thereof, it is characterized in that: The cargo outbound module includes a cargo detection module and a cargo sorting module; The cargo detection module includes a label scanning end and an actual data detection end; The label scanning end is used to scan the RFID label attached to the surface of the outbound goods, identify the corresponding goods information, and extract the goods information of the corresponding label; The actual data detection terminal is used to detect the actual information of the goods leaving the warehouse.
5. According to the Internet of Things-based smart warehouse refined management system and method thereof according to claim 4, it is characterized in that: The cargo sorting module includes a checking end and a sorting end; The checking end is used to check the actual information of the detected goods with the information obtained by scanning the RFID; The sorting terminal is used to classify the checked goods according to the accuracy of the goods data.
6. The smart warehouse refined management system and method based on the Internet of Things according to claim 1 is characterized in that: The intelligent comparison module includes a data collection module and a data comparison module; The data collection module includes a cargo storage end and a cargo outbound end; The cargo storage terminal is used to collect changes in various data of the cargo when the cargo is moved from the storage location; The cargo outbound terminal is used to collect outbound cargo data whose actual cargo information is consistent with the RFID information.
7. The smart warehouse refined management system and method based on the Internet of Things according to claim 6 is characterized in that: The data comparison module includes an identification end and a comparison end; The identification terminal is used to extract data changes caused when the goods are moved from the storage location, and determine the type of the goods moved in combination with a pre-established warehouse goods database; The comparison end is used to compare the types of goods detected during normal outbound delivery with the types of goods reduced in the warehouse.
8. The smart warehouse refined management system and method based on the Internet of Things according to claim 1 is characterized in that: The storage alarm module includes an information notification module and an alarm broadcast module; The information notification module includes an information sending end and an instruction receiving end; The information sending end is used to notify the back-end management personnel by sending a text message or a system pop-up window when an abnormality is found in the comparison between the warehouse goods and the outbound goods, and the back-end management personnel shall judge the abnormality; The instruction receiving end is used to receive and identify the judgment of the management personnel on the abnormal situation.
9. The smart warehouse refined management system and method based on the Internet of Things according to claim 8 is characterized in that: The alarm broadcast module is used to issue abnormal intelligence in the warehouse area to alert warehouse staff when receiving an instruction determined to be an abnormal situation.
10. The refined management method of intelligent warehousing based on the Internet of Things is characterized by: According to any one of claims 1 to 9, the method for the intelligent warehouse refined management system based on the Internet of Things comprises: A1. Collect information about goods stored in the warehouse, generate RFID tags corresponding to the goods, attach the tags to the goods and store them in the warehouse. Install detection sensors according to the storage location of the goods in the warehouse to monitor the overall data of the goods in real time. A2. Establish a warehouse cargo database based on the data detectable by the sensor, detect the data changes when the cargo is moved from the storage location, determine the type of cargo to be moved out by combining with the warehouse cargo database, and generate a data table for the cargo to be moved out; A3. Configure the cargo outbound device to scan the RFID tags of normal outbound cargo, detect the actual information of the outbound cargo, compare the RFID tag information with the actual information, and classify the cargo according to the consistency between the actual information of the cargo and the RFID tag information; A4. Extract the cargo information that is consistent with the actual information and the RFID tag information, compare it with the removed cargo data table, and determine whether the corresponding cargo moved out of the storage location is shipped out normally based on the consistency of the cargo information; A5. If the outbound cargo information is inconsistent with the cargo data sheet, or the cargo on the cargo data sheet does not match the outbound cargo information within the specified time, it will be considered an abnormal situation and the back-end management personnel will be notified to make a judgment. Based on the judgment information, it will be determined whether to notify the warehouse management personnel for investigation.