Intelligent visual detection method and detection system for storage materials

Through the cooperation of drones and sensors, automated storage, positioning, inventory and quality inspection of stored materials has been achieved, and the problems of insufficient automation and intelligence in the existing technology have been solved, cost and human errors have been reduced, and the efficiency and accuracy of material management have been improved.

CN120146074APending Publication Date: 2025-06-13DONGGUAN YACHUANG AUTOMATION TECH CO LTD
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Patent Information

Application Number
CN202510270634.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-07
Publication Date
2025-06-13

AI Technical Summary

Technical Problem

The existing intelligent visual detection methods for warehousing materials are insufficient for automation and intelligence, which cannot improve material management efficiency, reduce costs and reduce waste, and manual intervention may lead to inventory errors.

Method used

An intelligent visual detection method for warehousing materials was designed, using drones to cooperate with multiple sensors to realize automatic storage, automatic positioning, automatic inventory and automatic quality inspection of goods. The specific steps include: obtaining cargo location information through an RFID reader and writer, automatically transporting the goods to the storage shelf, weighing sensors collect cargo weight, and comparing the drone to inventory RFID information and image data.

Benefits of technology

It greatly saves labor costs, reduces inventory errors caused by human factors, realizes the automation and intelligence of goods management, and improves the standardization and transparency of material management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a warehouse material intelligent visual detection method and system, and the method comprises the following steps: 1, a warehouse entrance RFID reader-writer reads information in an RFID electronic tag on a cargo or a cargo packaging box, and carries out the information exchange with an intelligent monitoring unit, the entrance RFID reader-writer obtains the position information of the storage shelf where the goods are placed and writes the position information into the RFID electronic tag on the goods or the goods packaging box; 2, the automatic carrier conveys the goods or the goods in the packaging box to the corresponding storage goods shelf according to the position information; 3, a weighing sensor on the goods shelf collects the weight of the goods and stores the weight of the goods in the RFID electronic tag of the goods shelf; 4, the unmanned aerial vehicle compares information from the intelligent monitoring unit and information in the goods shelf RFID electronic tags, and whether the number of the goods is consistent or not is judged; and 5, the unmanned aerial vehicle judges whether the cargo quantity is correct or not and whether the cargo surface quality is qualified or not according to the image, and finally the cargos in the warehouse are checked.
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Description

Technical Field

[0001] The present invention relates to a method for detecting storage materials, in particular to an intelligent vision detection method and detection system for storage materials. Background Art

[0002] Automated warehousing systems use advanced technologies and equipment to achieve efficient storage, management, and transportation of goods, and are widely applied in fields such as manufacturing, retail, logistics, and e-commerce.

[0003] Although automated warehousing systems have significant advantages in terms of efficiency, accuracy, and cost control, they still face some challenges when taking inventory of goods.

[0004] (1) Existing methods for intelligent vision detection of storage materials have insufficient automation and intelligence, and cannot improve material management efficiency, reduce costs, and reduce waste.

[0005] (2) Although automated systems reduce manual operations, they still require human intervention, such as system monitoring, troubleshooting, etc., and human errors or intentional actions may affect the inventory results. Summary of the Invention

[0006] The present invention designs an intelligent vision detection method and detection system for storage materials, and the technical problems to be solved are: (1) Existing methods for intelligent vision detection of storage materials have insufficient automation and intelligence, and cannot improve material management efficiency, reduce costs, and reduce waste. (2) Although automated systems reduce manual operations, they still require human intervention, such as system monitoring, troubleshooting, etc., and human errors or intentional actions may affect the inventory results.

[0007] To solve the above-mentioned existing technical problems, the present invention adopts the following solutions: An intelligent vision detection method for storage materials, comprising the following steps: Step 1: The RFID reader / writer at the warehouse entrance reads the information in the RFID electronic tag on the goods or the goods packaging box, and exchanges information with the intelligent monitoring unit. The entrance RFID reader / writer obtains the location information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; Step 2: The automatic vehicle transports the goods or the goods packaging box to the corresponding storage shelf according to the location information; Step 3: The weighing sensor on the shelf collects the weight of the goods and stores it in the shelf RFID electronic tag; Step 4: The drone compares the information from the intelligent monitoring unit with the information in the shelf RFID electronic tag to determine whether the quantity of goods is consistent; Step 5: The drone determines whether the quantity of goods is correct and whether the surface quality of the goods is qualified based on the images, and finally takes an inventory of the goods in the warehouse.

[0008] Preferably, in step 1, an entrance RFID reader / writer is provided at the warehouse entrance. The entrance RFID reader / writer can read the RFID electronic tags on the goods or the packaging boxes of the goods. The information in the RFID electronic tags includes at least the name, model, quantity, weight, and volume of the goods. The entrance RFID reader / writer sends the read information to the intelligent monitoring unit through a wireless transmission device for storage and calculation. The intelligent monitoring unit sends the RFID electronic tag code of the corresponding storage shelf to the entrance RFID reader / writer. The entrance RFID reader / writer locates the RFID electronic tag of the corresponding storage shelf based on the received signal strength indicator (RSSI) and obtains the location information, and then writes the location information into the RFID electronic tag on the goods or the packaging box of the goods.

[0009] Preferably, in step 2, the goods or the packaging boxes of the goods are placed on an automatic vehicle. The automatic vehicle includes at least a driving unit and a control unit. The control unit reads the storage shelf location information in the RFID electronic tag and controls the driving unit to move the automatic vehicle to the corresponding storage shelf for manual or automatic unloading.

[0010] Preferably, in step 3, a shelf RFID electronic tag is provided on each storage shelf. The storage shelf has one or more layers. A weighing sensor is provided on each layer of the shelf to measure the total weight of the goods on that layer of the shelf. The weighing sensor can store the total weight data into the shelf RFID electronic tag.

[0011] Preferably, in step 4, the drone receives an instruction from the intelligent monitoring unit to take an inventory of one or more goods. The intelligent monitoring unit sends the name, image, quantity, single weight, total weight, and the location information of the RFID electronic tag of the shelf to which the goods belong of the one or more goods to be inventoried to the control unit of the drone. The RFID reader / writer of the drone reads the information of the name and total weight of the goods on each layer of the shelf in the corresponding shelf RFID electronic tag. The control unit of the drone compares the information of the name, single weight, and total weight of the goods from the intelligent monitoring unit with the information of the corresponding goods name and total weight recorded in the shelf RFID electronic tag to determine whether the total weight of the corresponding goods is consistent and calculate whether the quantity of the goods is consistent.

[0012] Preferably, in step 5, the drone takes pictures of the goods with a high-resolution camera and compares them with the goods images from the intelligent monitoring unit to determine the name of the goods. After determining the name of the goods, the drone identifies and counts the quantity of the goods through a vision algorithm and takes pictures of the surface details of the goods with a high-resolution camera, and identifies cracks, depressions or damages through image analysis. When the following three conditions are met: 1. If the total weight of the goods read by the RFID reader-writer of the drone is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The quantity of the goods calculated by the high-resolution camera of the drone is also consistent with the quantity of the goods sent by the intelligent monitoring unit; 3. No cracks, depressions or damages are identified through image analysis; the inventory count is completed, and the inventory count result is sent to the server of the intelligent monitoring unit for storage. When any one of the above three conditions is not met, the drone sends an alarm message to the mobile terminal of the staff through the intelligent monitoring unit.

[0013] Preferably, an exit RFID reader-writer is provided at the exit in the RFID warehouse management platform. The exit RFID reader-writer can write information into the RFID electronic tag on the goods or the goods packaging box. The information written into the RFID electronic tag includes at least the name, quantity, weight and volume information of the goods. The exit RFID reader-writer sends the written information to the intelligent monitoring unit through a wireless transmission device for storage and calculation.

[0014] Preferably, the automatic vehicle also includes a temperature sensor, a shock sensor, a pressure sensor for monitoring the goods and the data output by the GPS, and writes them into the RFID electronic tag on the goods or the goods packaging box.

[0015] An intelligent visual inspection system for warehousing materials, comprising An entrance RFID reader-writer for the warehouse, which reads the information in the RFID electronic tag on the goods or the goods packaging box, and exchanges information with the intelligent monitoring unit. The entrance RFID reader-writer obtains the position information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; An automatic vehicle, which transports the goods or the goods packaging box to the corresponding storage shelf according to the position information in the RFID electronic tag; A weighing sensor, which is arranged on the storage shelf, collects the weight of the goods and stores it in the shelf RFID electronic tag; A drone, which compares the information from the intelligent monitoring unit with the information in the shelf RFID electronic tag to judge whether the quantity of the goods is consistent; also judges whether the quantity of the goods is correct and whether the surface quality of the goods is qualified according to the image, and finally conducts an inventory count of the goods in the warehouse; An intelligent monitoring unit, which can exchange data with the entrance RFID reader-writer and the drone.

[0016] Preferably, the entrance RFID reader-writer can read the RFID electronic tags on the goods or the packaging boxes of the goods. The information in the RFID electronic tags includes at least the name, model, quantity, weight, and volume of the goods. The entrance RFID reader-writer sends the read information to the intelligent monitoring unit through a wireless transmission device for storage and calculation. The intelligent monitoring unit sends the RFID electronic tag code of the corresponding storage shelf to the entrance RFID reader-writer. The entrance RFID reader-writer locates the RFID electronic tag of the corresponding storage shelf based on the received signal strength (RSSI) and obtains the location information, and then writes the location information into the RFID electronic tag on the goods or the packaging box of the goods. Preferably, the goods or the packaging boxes of the goods are placed on an automatic vehicle, which at least includes a driving unit and a control unit. The control unit reads the storage shelf location information in the RFID electronic tag and controls the driving unit to move the automatic vehicle to the corresponding storage shelf for manual or automatic unloading. Preferably, a shelf RFID electronic tag is provided on each storage shelf. The storage shelf has one or more layers, and a weighing sensor is provided on each layer of the shelf to measure the total weight of the goods on that layer. The weighing sensor can store the total weight data in the shelf RFID electronic tag. Preferably, the drone receives an instruction from the intelligent monitoring unit to conduct an inventory of one or more goods. The intelligent monitoring unit sends the name, image, quantity, single weight, total weight, and the location information of the RFID electronic tag of the shelf to which the goods belong of the one or more goods to be inventoried to the control unit of the drone. The RFID reader-writer of the drone reads the information of the name and total weight of the goods on each layer of the corresponding shelf RFID electronic tag. The control unit of the drone compares the information of the name, single weight, and total weight of the goods from the intelligent monitoring unit with the information of the corresponding goods name and total weight recorded in the shelf RFID electronic tag to determine whether the corresponding total weight of the goods is consistent and calculate whether the quantity of the goods is consistent.

[0017] Preferably, the drone compares the images of the goods captured by the high-resolution camera with the images of the goods from the intelligent monitoring unit to determine the name of the goods. After determining the name of the goods, the drone identifies and counts the quantity of the goods through visual algorithms and captures the surface details of the goods through the high-resolution camera, and identifies cracks, dents or damages through image analysis. When the following three conditions are met: 1. If the total weight of the goods read by the RFID reader of the drone is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The quantity of the goods calculated by the high-resolution camera of the drone is also consistent with the quantity of the goods sent by the intelligent monitoring unit; 3. No cracks, dents or damages are identified on the goods through image analysis; the inventory count is completed, and the inventory count result is sent to the server of the intelligent monitoring unit for storage. When any one of the above three conditions is not met, the drone sends an alarm message to the mobile terminal of the staff through the intelligent monitoring unit.

[0018] The intelligent visual inspection method for storage materials has the following beneficial effects: (1) In the present invention, drones are used in cooperation with a variety of sensors to achieve automatic warehousing, automatic positioning, automatic inventory counting, and automatic quality inspection of goods, greatly saving labor costs and avoiding inventory errors caused by human factors.

[0019] (2) In the present invention, the RFID reader of the drone reads the information of the name and weight of the goods on each layer of the RFID electronic tag on the shelf for the first inventory count, and then calculates the quantity of the goods by collecting images through the high-resolution camera for the second inventory count, avoiding the "correct" inventory count results that may occur in various coincidence situations, and also avoiding the loss or damage of goods caused by personnel deliberately replacing goods with items of the same weight.

[0020] (3) In the present invention, by constructing a professional warehouse management mode transformation system, the digitalization and intelligence of goods management are realized, the standardization and transparency of material management are improved, and the lean management of material flow is empowered by data elements. Description of the Drawings

[0021] Figure 1 : Block flow chart of the intelligent visual inspection method for storage materials of the present invention; Figure 2 : Block flow chart of the intelligent visual inspection system for storage materials of the present invention. Detailed Embodiments

[0022] The following combines Figure 1 and Figure 2 , and further describes the present invention: As Figure 1 shown, the intelligent visual inspection method for storage materials of the present invention includes the following steps: Step 1: The RFID reader / writer at the warehouse entrance reads the information in the RFID electronic tag on the goods or the goods packaging box, and exchanges information with the intelligent monitoring unit. The entrance RFID reader / writer obtains the location information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; Step 2: The automatic vehicle transports the goods or the goods in the packaging box to the corresponding storage shelf according to the location information; Step 3: The weighing sensor on the shelf collects the weight of the goods and stores it in the RFID electronic tag on the shelf; Step 4: The drone compares the information from the intelligent monitoring unit with the information in the RFID electronic tag on the shelf to determine whether the quantity of goods is consistent; Step 5: The drone determines whether the quantity of goods is correct and whether the surface quality of the goods is qualified based on the image, and finally takes an inventory of the goods in the warehouse.

[0023] Among them, the goods or the goods packaging box represent two ways: the first way is that the goods have no packaging box, so the RFID electronic tag is directly fixed on the goods, and the second way is that the goods are placed in the packaging box, and the RFID electronic tag is directly fixed on the packaging box.

[0024] Specifically, in Step 1, an entrance RFID reader / writer is set at the warehouse entrance. The entrance RFID reader / writer can read the RFID electronic tag on the goods or the goods packaging box. The information in the RFID electronic tag at least includes the name, model, quantity, weight, and volume of the goods. The entrance RFID reader / writer sends the read information to the intelligent monitoring unit through a wireless transmission device for storage and calculation; The intelligent monitoring unit sends the shelf RFID electronic tag code corresponding to the storage shelf to the entrance RFID reader / writer. The entrance RFID reader / writer locates the shelf RFID electronic tag corresponding to the storage shelf based on the received signal strength (RSSI) and obtains the location information, and the entrance RFID reader / writer writes the location information into the RFID electronic tag on the goods or the goods packaging box.

[0025] In Step 2, the goods or the goods packaging box are placed on the automatic vehicle. The automatic vehicle at least includes a driving unit and a control unit. The control unit reads the storage shelf location information in the RFID electronic tag and controls the driving unit to make the automatic vehicle move to the corresponding storage shelf for manual or automatic unloading.

[0026] The driving unit may include a driving motor and wheels. The rotor of the driving motor drives the wheels to rotate through a transmission device, thereby driving the automatic vehicle to move forward or turn. The control unit includes a motor controller to control the speed and direction of the driving motor. The automatic vehicle also includes a positioning unit and a navigation unit. The former can locate the position of the automatic vehicle at any time, and the latter can detect obstacles.

[0027] Step 3: An RFID electronic tag for the shelf is provided on each storage shelf. The storage shelf has one or more layers. A weighing sensor is provided on each layer of the shelf to measure the total weight of the goods on that layer of the shelf. The weighing sensor can store the total weight data in the RFID electronic tag for the shelf.

[0028] In step 4, the drone receives an instruction from the intelligent monitoring unit to conduct an inventory of one or more goods. The intelligent monitoring unit sends the name, image, quantity, single weight, total weight, and the location information of the RFID electronic tag for the shelf to which the goods belong to the control unit of the drone. The RFID reader of the drone reads the information of the name and total weight of the goods on each layer of the shelf from the corresponding RFID electronic tag for the shelf. The control unit of the drone compares the information of the name, single weight, and total weight of the goods from the intelligent monitoring unit with the information of the corresponding goods name and total weight recorded in the RFID electronic tag for the shelf to determine whether the total weight of the corresponding goods is consistent and calculate whether the quantity of the goods is consistent.

[0029] In step 5, the drone takes an image of the goods with a high-resolution camera and compares it with the image of the goods from the intelligent monitoring unit to determine the name of the goods. After determining the name of the goods, the drone identifies and counts the quantity of the goods through a vision algorithm and takes a picture of the surface details of the goods with a high-resolution camera, and identifies cracks, dents, or damages through image analysis. When the following three conditions are met: 1. If the total weight of the goods read by the RFID reader of the drone is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The quantity of the goods calculated by the high-resolution camera of the drone is also consistent with the quantity of the goods sent by the intelligent monitoring unit; 3. No cracks, dents, or damages are identified through image analysis; the inventory is completed, and the inventory result is sent to the server of the intelligent monitoring unit for storage. When any one of the above three conditions is not met, the drone sends an alarm message to the mobile terminal of the staff through the intelligent monitoring unit.

[0030] For example, the intelligent monitoring unit sends the inventory object information as an isolating switch, with a single weight of 10 kg and 5 on the shelf. When the RFID reader of the drone reads the information of the name and weight of the goods on each layer of the shelf from the RFID electronic tag on the shelf as "isolating switch" and the weight is 5 * 10 kg, it indicates that the quantity of the isolating switches on the shelf is correct.

[0031] The drone takes an image of the goods with a high-resolution camera and identifies and counts the quantity of the goods through a vision algorithm and takes a picture of the surface details of the goods with a high-resolution camera, and identifies cracks, dents, or damages through image analysis. When the following three conditions are met: 1. If the total weight of multiple disconnect switches read by the RFID reader of the drone is consistent with the total weight of the disconnect switches sent by the intelligent monitoring unit; 2. The number of disconnect switches calculated by the high-resolution camera of the drone through images is also consistent with the number of disconnect switches sent by the intelligent monitoring unit; 3. Through image analysis, it is identified that there are no cracks, depressions or damages on the surface of the disconnect switch; the inventory is completed, and the inventory result is sent to the server of the intelligent monitoring unit for storage; when any one of the above three conditions is not met, the drone sends an alarm message to the mobile terminal of the staff through the intelligent monitoring unit.

[0032] It can be seen that there are three-fold judgments in the inventory of materials in the present invention: First, calculate the quantity of goods by calculating the weight of the goods; Second, identify the quantity of goods through images; Third, identify whether the surface of the goods is intact through images. The first two are judgments of quantity, and the latter is a judgment of quality. The two judgments of the quantity of goods are because when different goods are placed together, it may happen that the weight is correct, so the second method is needed for supplementary judgment to ensure the correctness of the judgment result.

[0033] The mobile terminal in the present invention can also develop a goods management micro-application to realize functions such as material inbound and outbound management, inventory statistical analysis, and work order association, which helps to timely master the physical link of spare parts and ensure the efficient management and allocation of goods. The mobile terminal can be a mobile phone or a tablet computer.

[0034] In addition to the above functions, the intelligent monitoring unit in the present invention also integrates data of cross-professional systems such as ERP, PMS3.0, and Marketing 2.0, promotes a dynamic single map for goods management, and realizes traceability and queryability of the entire link of goods information. At the same time, it designs a function to export the full-process report of the replenishment package requirement form, intuitively showing the status of the replenishment package requirement form in the full process, so as to efficiently achieve the symmetry of information between the demand side and the supply side.

[0035] An exit RFID reader is provided at the exit in the RFID warehouse management platform. The exit RFID reader can write information into the RFID electronic tag on the goods or the goods packaging box. The information written into the RFID electronic tag includes at least the name, quantity, weight, and volume information of the goods. The exit RFID reader sends the written information to the intelligent monitoring unit through a wireless transmission device for storage and calculation.

[0036] As Figure 2 shown, the intelligent visual inspection system for storage materials of the present invention includes the following: The intelligent visual inspection system for warehouse materials of the present invention includes an RFID reader / writer at the entrance of the warehouse, which reads the information in the RFID electronic tag on the goods or the goods packaging box and exchanges information with the intelligent monitoring unit. The entrance RFID reader / writer obtains the position information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; An automatic vehicle, which transports the goods or the goods packaging box to the corresponding storage shelf according to the position information in the RFID electronic tag; A weighing sensor, which is arranged on the storage shelf, collects the weight of the goods and stores it in the RFID electronic tag on the shelf; A drone, which compares the information from the intelligent monitoring unit with the information in the RFID electronic tag on the shelf to judge whether the quantity of goods is consistent; also judges whether the quantity of goods is correct and whether the surface quality of the goods is qualified according to the image, and finally takes an inventory of the goods in the warehouse; An intelligent monitoring unit, which can exchange data with the entrance RFID reader / writer and the drone.

[0037] The entrance RFID reader / writer can read the RFID electronic tag on the goods or the goods packaging box. The information in the RFID electronic tag at least includes the name, model, quantity, weight and volume of the goods. The entrance RFID reader / writer sends the read information to the intelligent monitoring unit through a wireless transmission device for storage and calculation; the intelligent monitoring unit sends the shelf RFID electronic tag code corresponding to the storage shelf to the entrance RFID reader / writer. The entrance RFID reader / writer locates the shelf RFID electronic tag corresponding to the storage shelf based on the received signal strength (RSSI) and obtains the position information, and the entrance RFID reader / writer writes the position information into the RFID electronic tag on the goods or the goods packaging box; The goods or the goods packaging box is placed on the automatic vehicle. The automatic vehicle at least includes a driving unit and a control unit. The control unit reads the storage shelf position information in the RFID electronic tag and controls the driving unit to make the automatic vehicle move to the corresponding storage shelf for manual or automatic unloading; There is a shelf RFID electronic tag on each shelf. The shelf has one or more layers. There is a weighing sensor on each layer of the shelf that can measure the total weight of the goods on that layer of the shelf. The weighing sensor can store the total weight data into the shelf RFID electronic tag; The drone receives an instruction from the intelligent monitoring unit to conduct an inventory of one or more goods. The intelligent monitoring unit sends the names, images, quantities, individual weights, total weights of the one or more goods to be inventoried, and the location information of the RFID electronic tags of the shelves to which the goods belong to the control unit of the drone. The RFID reader of the drone reads the information of the names and total weights of the goods on each layer of the corresponding shelf RFID electronic tag. The control unit of the drone compares the information of the goods names, individual weights, and total weights from the intelligent monitoring unit with the information of the corresponding goods names and total weights recorded in the shelf RFID electronic tag to determine whether the corresponding total weights of the goods are consistent and calculate whether the quantities of the goods are consistent.

[0038] The drone takes pictures of the goods with a high-resolution camera and compares them with the goods images from the intelligent monitoring unit to determine the names of the goods. After determining the names of the goods, the drone identifies and counts the quantity of the goods through visual algorithms and takes pictures of the surface details of the goods with a high-resolution camera, and identifies cracks, dents, or damages through image analysis. When the following three conditions are met: 1. If the total weight of the goods read by the RFID reader of the drone is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The quantity of the goods calculated by the high-resolution camera of the drone is also consistent with the quantity of the goods sent by the intelligent monitoring unit; 3. No cracks, dents, or damages are identified through image analysis; the inventory is completed, and the inventory results are sent to the server of the intelligent monitoring unit for storage. When any one of the above three conditions is not met, the drone sends an alarm message to the mobile terminal of the staff through the intelligent monitoring unit. The mobile terminal includes a smartphone or a tablet.

[0039] The innovation points of this invention can be summarized as follows: a data management system for optimizing driving resources.

[0040] Through the intelligent monitoring unit, this invention can provide in-depth analysis of the usage data of requisitions, providing intuitive data support for management personnel, and clearly showing the failure requisition rates and material usage situations of each line, substation area, and substation building. By analyzing the usage frequency of emergency repair materials, the tender procurement link of materials is optimized, the quality of the purchased materials is improved, the frequency of repeated procurement caused by quality problems is reduced, thereby enhancing the reliability of the entire power supply system and the stability of power supply, and driving the optimal allocation of resources.

[0041] The present invention has been described exemplarily above in conjunction with the accompanying drawings. Obviously, the implementation of the present invention is not limited by the above-mentioned manner. As long as various improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A method for intelligent visual inspection of storage materials, comprising the following steps: Step 1: The RFID reader at the warehouse entrance reads the information in the RFID electronic tag on the goods or the goods packaging box, and exchanges the information with the intelligent monitoring unit. The RFID reader at the entrance obtains the location information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; Step 2: The automatic carrier transports the goods or goods in the packaging box to the corresponding storage shelf according to the location information; Step 3: The weighing sensor on the shelf collects the weight of the goods and stores it in the shelf RFID electronic tag; Step 4: The drone compares the information from the intelligent monitoring unit with the information in the shelf RFID electronic tag to determine whether the quantity of goods is consistent; Step 5: The drone determines whether the quantity of goods is correct and whether the surface quality of the goods is qualified based on the image, and finally takes inventory of the goods in the warehouse.

2. The intelligent visual inspection method for storage materials according to claim 1 is characterized in that: In step 1, an entrance RFID reader is set at the entrance of the warehouse. The entrance RFID reader can read the RFID electronic tags on the goods or the goods packaging boxes. The information in the RFID electronic tags includes at least the name, model, quantity, weight and volume of the goods. The entrance RFID reader sends the read information to the intelligent monitoring unit through a wireless sending device for storage and calculation; the intelligent monitoring unit sends the shelf RFID electronic tag code corresponding to the storage shelf to the entrance RFID reader. The entrance RFID reader locates the shelf RFID electronic tag corresponding to the storage shelf based on the signal strength (RSSI) and obtains the position information. The entrance RFID reader writes the position information into the RFID electronic tag on the goods or the goods packaging box.

3. The method for intelligent visual inspection of storage materials according to claim 2 is characterized in that: In step 2, the goods or cargo boxes are placed on an automatic carrier, which includes at least a drive unit and a control unit. The control unit reads the storage shelf location information in the RFID electronic tag and controls the drive unit to move the automatic carrier to the corresponding storage shelf for manual or automatic unloading.

4. The intelligent visual inspection method for storage materials according to claim 3 is characterized in that: In step 3, a shelf RFID electronic tag is provided on each storage shelf. The storage shelf has one or more layers. A weighing sensor is provided on each shelf layer to measure the total weight of the goods on the shelf layer. The weighing sensor can store the total weight data in the shelf RFID electronic tag.

5. The intelligent visual inspection method for storage materials according to claim 4 is characterized in that: In step 4, the drone receives an instruction from the intelligent monitoring unit to count one or more goods, and the intelligent monitoring unit sends the name, image, quantity, single weight, total weight and location information of the RFID electronic tag of the shelf to which the goods belong to the one or more goods to be counted to the control unit of the drone; The RFID reader of the drone reads the information on the name and total weight of the goods on each shelf in the RFID electronic tag of the corresponding shelf. The control unit of the drone compares the name, individual weight and total weight information from the intelligent monitoring unit with the corresponding name and total weight information recorded in the RFID electronic tag of the shelf to determine whether the corresponding total weight of the goods is consistent and calculate whether the quantity of the goods is consistent.

6. The intelligent visual inspection method for storage materials according to claim 5 is characterized in that: In step 5, the drone takes an image of the cargo through a high-resolution camera and compares it with the cargo image from the intelligent monitoring unit to determine the name of the cargo; after determining the name of the cargo, the drone identifies and counts the number of cargoes through a visual algorithm and takes a picture of the surface details of the cargo through a high-resolution camera, and identifies cracks, dents or damage through image analysis; When the following three conditions are met:

1. If the total weight of the goods read by the drone's RFID reader is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The drone's high-resolution camera calculates the number of goods through images, which is consistent with the number of goods sent by the intelligent monitoring unit; 3. Use image analysis to identify that the goods have no cracks, dents or damage; The inventory is completed and the inventory results are sent to the server of the intelligent monitoring unit for storage; when any of the above three conditions is not met, the drone sends an alarm message to the staff's mobile terminal through the intelligent monitoring unit.

7. The intelligent visual inspection method for storage materials according to claim 6 is characterized in that: The RFID warehouse management platform is equipped with an export RFID reader at the export. The export RFID reader can write the RFID electronic tag on the goods or the goods packaging box. The information written in the RFID electronic tag includes at least the name, quantity, weight and volume information of the goods. The export RFID reader sends the written information to the intelligent monitoring unit through a wireless transmission device for storage and calculation; Alternatively, the automatic carrier also includes temperature sensors, impact sensors, pressure sensors and GPS output data for monitoring the goods, and writes the data into an RFID electronic tag on the goods or the goods packaging box.

8. An intelligent visual inspection system for storage materials, characterized in that: include The RFID reader at the entrance of the warehouse reads the information in the RFID electronic tag on the goods or the goods packaging box, and exchanges the information with the intelligent monitoring unit. The RFID reader at the entrance obtains the location information of the storage shelf where the goods are placed and writes it into the RFID electronic tag on the goods or the goods packaging box; Automatic carriers, which transport goods or cargo boxes to corresponding storage shelves according to the location information in the RFID electronic tags; A weighing sensor is installed on the storage shelf to collect the weight of the goods and store it in the RFID electronic tag on the shelf; The drone compares the information from the intelligent monitoring unit with the information in the RFID electronic tags on the shelves to determine whether the quantity of goods is consistent. It also determines whether the quantity of goods is correct and whether the surface quality of the goods is qualified based on the image, and finally counts the goods in the warehouse; Intelligent monitoring unit that can exchange data with entrance RFID readers and drones.

9. According to the intelligent visual inspection system for storage materials according to claim 8, it is characterized in that: The entrance RFID reader / writer can read the RFID electronic tags on the goods or the goods packaging boxes. The information in the RFID electronic tags includes at least the name, model, quantity, weight and volume of the goods. The entrance RFID reader / writer sends the read information to the intelligent monitoring unit through a wireless transmission device for storage and calculation; the intelligent monitoring unit sends the shelf RFID electronic tag code corresponding to the storage shelf to the entrance RFID reader / writer. The entrance RFID reader / writer locates the shelf RFID electronic tag corresponding to the storage shelf based on the signal strength (RSSI) and obtains the location information. The entrance RFID reader / writer writes the location information into the RFID electronic tag on the goods or the goods packaging box; The goods or cargo boxes are placed on the automatic carrier, which at least includes a driving unit and a control unit. The control unit reads the location information of the storage shelf in the RFID electronic tag and controls the driving unit to move the automatic carrier to the corresponding storage shelf for manual or automatic unloading. A shelf RFID electronic tag is provided on each storage shelf. The storage shelf is one or more layers. A weighing sensor is provided on each shelf layer to measure the weight of the goods on the shelf layer. The weighing sensor can store the weight data in the shelf RFID electronic tag. The drone receives an instruction from the intelligent monitoring unit to take inventory of one or more goods. The intelligent monitoring unit sends the name, image, quantity, single weight, total weight of the one or more goods to be counted, and the location information of the RFID electronic tag of the shelf to which the goods belong to to the control unit of the drone; the RFID reader of the drone reads the information of the name and total weight of the goods on each shelf in the RFID electronic tag of the corresponding shelf. The control unit of the drone compares the name, single weight and total weight information of the goods from the intelligent monitoring unit with the name and total weight information of the corresponding goods recorded in the RFID electronic tag of the shelf to determine whether the total weight of the corresponding goods is consistent and calculate whether the quantity of the goods is consistent.

10. According to the intelligent visual inspection system for storage materials according to claim 9, it is characterized in that: The drone uses a high-resolution camera to take images of the cargo and compares them with the cargo images from the intelligent monitoring unit to determine the name of the cargo. After determining the name of the cargo, the drone uses a visual algorithm to identify and count the number of cargoes, and uses a high-resolution camera to take pictures of the surface details of the cargo, and uses image analysis to identify cracks, dents or damage. When the following three conditions are met:

1. If the total weight of the goods read by the drone's RFID reader is consistent with the total weight of the goods sent by the intelligent monitoring unit; 2. The drone's high-resolution camera calculates the number of goods through images, which is consistent with the number of goods sent by the intelligent monitoring unit; 3. Use image analysis to identify that the goods have no cracks, dents or damage; The inventory is completed and the inventory results are sent to the server of the intelligent monitoring unit for storage; when any of the above three conditions is not met, the drone sends an alarm message to the staff's mobile terminal through the intelligent monitoring unit.

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