A storage pallet wear analysis system and method based on Unreal Engine simulation

Abstract

A storage pallet wear analysis system and method based on Unreal Engine simulation, wherein an information processing unit collects information about the storage pallet to obtain pallet information data; a model matching unit selects a corresponding preset three-dimensional model in a model database according to the collected pallet information data for matching, and dynamically adjusts to obtain a storage pallet model; a wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet; a display output unit outputs a wear report based on the degree of wear of the pallet and displays it. The present invention firstly uses Unreal Engine's advanced rendering technology to dynamically simulate the wear state of the pallet, combines a machine learning algorithm to accurately analyze the degree of wear, and reduces errors caused by human factors; secondly, an automated system is used to achieve real-time monitoring of the pallet state, timely discover and handle potential wear problems, and avoid cargo damage and premature scrapping of pallets.

Description

Technical Field

[0001] The present invention relates to the field of warehouse management, and in particular to a warehouse pallet wear analysis system and method based on Unreal Engine simulation. Background Art

[0002] With the rapid development of modern logistics and warehousing industries, storage pallets, as an important tool for cargo transportation and storage, have a direct impact on logistics efficiency and cargo safety. Storage pallets will inevitably suffer from wear and corrosion during use, which will not only shorten the service life of storage pallets, but also cause damage to cargo and increase the operating costs of enterprises.

[0003] At present, the wear detection of storage pallets mainly relies on manual inspection, which has many limitations. First, manual inspection is inefficient and difficult to adapt to the needs of large-scale logistics; second, the inspection results are affected by personal experience and subjective judgment, and the accuracy and consistency are difficult to guarantee; finally, manual inspection cannot achieve real-time monitoring, and cannot promptly discover and deal with potential problems of pallets. For example, by installing sensors to monitor the use status of storage pallets, or using image recognition technology to scan and analyze the surface of storage pallets. However, these technologies often require expensive hardware equipment and complex data processing processes, and there is still a risk of misjudgment and missed judgment in practical applications.

[0004] Therefore, due to the limitations of existing technology, people cannot solve it. Summary of the invention

[0005] (I) Purpose of the invention: In order to solve the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a storage pallet wear analysis system and method based on Unreal Engine simulation, by constructing a virtual model that corresponds one-to-one with the actual storage pallet and realizing real-time data synchronization between the two, thereby providing convenience for storage pallet management.

[0006] (II) Technical solution: In order to solve the above technical problems, the present technical solution provides a storage pallet wear analysis system based on Unreal Engine simulation, including an information processing unit, a model matching unit, a wear evaluation unit and a display output unit; the information processing unit collects information of the storage pallet to obtain pallet information data;

[0007] The model matching unit selects a corresponding preset three-dimensional model in the model database according to the pallet information data for matching, and dynamically adjusts to obtain a storage pallet model;

[0008] The wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet;

[0009] The display output unit outputs and displays a wear report of the storage pallet according to the wear degree of the pallet.

[0010] Preferably, the information processing unit includes an information collection module and an information processing module, and the information collection module collects basic information of the storage pallet; the information processing module performs data preprocessing on the basic information of the storage pallet and outputs pallet information data in a unified format.

[0011] Preferably, the data preprocessing includes format conversion and data verification; the format conversion is to convert the basic information of the storage pallet into the same format; the data verification is used to limit the input data type and range.

[0012] Preferably, the model matching unit searches and selects a corresponding preset three-dimensional model in a model database according to the pallet information data to obtain a three-dimensional model of the pallet.

[0013] Preferably, the model matching unit matches the pallet three-dimensional model according to the pallet information data, monitors the surface of the storage pallet in real time, inputs the surface data of the storage pallet into the pallet three-dimensional model through rendering by the Unreal Engine, simulates actual wear and corrosion effects, and obtains a storage pallet model that can reflect the actual state of the storage pallet in real time.

[0014] Preferably, the model matching unit establishes a material function WearFunction to represent the dynamic process of wear, and inside the material function WearFunction, adds a material parameter WearAmount in the material editor to represent the degree of wear; the material function WearFunction receives the original texture and the material parameter WearAmount as input, and outputs the modified texture at different times as time goes by, thereby obtaining different degrees of wear, thereby generating a storage pallet model that meets different times.

[0015] Preferably, the wear assessment unit calculates the material and texture status of the storage pallet model at different moments based on the surface wear data and wear contamination data of the storage pallet; and estimates the material and texture status at the next moment based on the material and texture status at the current moment, thereby obtaining the estimated surface wear data of the storage pallet and the estimated wear contamination data of the wear area, thereby obtaining the degree of pallet wear of the storage pallet.

[0016] Preferably, the material function establishes a wear depth-time coordinate system according to the depth and time of the wear area, and uses the depth of the wear area in the input surface wear data as the ordinate and the time as the abscissa, and punctuates and draws lines in the wear depth-time coordinate system, thereby predicting the surface wear data at any time, and obtaining the estimated surface wear data of the storage pallet;

[0017] Similarly, a pollutant quantity-time coordinate system is established based on the pollutant quantity and time in the wear area. The pollutant quantity-time coordinate system is punctuated and drawn based on the input wear and pollution data, with the pollutant quantity as the vertical coordinate and the time as the horizontal coordinate. The wear and pollution data at any moment are predicted to obtain the estimated wear and pollution data of the wear area of ​​the storage pallet.

[0018] Preferably, the display output unit includes a display device and a data interface; the display device displays the detailed results of the wear analysis of the storage pallet, and the wear report of the storage pallet is directly viewed;

[0019] The data interface exports detailed information of the storage pallet detected each time and the surface wear data and wear contamination data of the storage pallet for prediction and evaluation. The surface wear data, wear contamination data and wear report exported by the data interface are in a standard format.

[0020] A storage pallet wear analysis method based on Unreal Engine simulation, applicable to a storage pallet wear analysis system based on Unreal Engine simulation, specifically comprising:

[0021] Step 1, the information processing unit collects the information of the storage pallet to obtain pallet information data;

[0022] Step 2: The model matching unit selects a corresponding preset three-dimensional model in the model database according to the collected pallet information data for matching, and dynamically adjusts to obtain a storage pallet model;

[0023] Step 3: The wear assessment unit performs a prediction assessment based on the storage pallet model to obtain the degree of wear of the pallet;

[0024] Step 4: The display output unit outputs and displays the wear report of the storage pallet according to the wear degree of the pallet.

[0025] (III) Beneficial effects: The present invention provides a storage pallet wear analysis system and method based on Unreal Engine simulation. First, the Unreal Engine's advanced rendering technology is used to dynamically simulate the wear state of the pallet, and the wear degree is accurately analyzed in combination with a machine learning algorithm to reduce errors caused by human factors. Secondly, the pallet status is monitored in real time through an automated system to promptly detect and handle potential wear problems, thereby avoiding cargo damage and premature scrapping of pallets. Finally, the overall detection cost is reduced by reducing dependence on expensive hardware equipment and simplifying the data processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural diagram of a storage pallet wear analysis system based on Unreal Engine simulation of the present invention;

[0027] Figure 2 It is a step diagram of a storage pallet wear analysis method based on Unreal Engine simulation of the present invention;

[0028] Figure 3 It is a specific step diagram of the information processing unit of the present invention;

[0029] Figure 4 It is a specific step diagram of the model matching unit of the present invention. DETAILED DESCRIPTION

[0030] The present invention is further described in detail below in conjunction with preferred embodiments. More details are elaborated in the following description to facilitate a full understanding of the present invention. However, the present invention can obviously be implemented in a variety of other ways different from the description. Those skilled in the art can make similar generalizations and deductions based on actual application situations without violating the connotation of the present invention. Therefore, the protection scope of the present invention should not be limited by the content of this specific embodiment.

[0031] The accompanying drawings are schematic diagrams of embodiments of the present invention. It should be noted that the drawings are only examples and are not drawn to scale, and should not be used to limit the actual protection scope of the present invention.

[0032] A storage pallet wear analysis system based on Unreal Engine simulation, such as Figure 1 As shown, it includes an information processing unit, a model matching unit, a wear assessment unit and a display output unit. The information processing unit collects the information of the storage pallet to obtain the pallet information data. The model matching unit selects the corresponding preset three-dimensional model in the model database according to the pallet information data for matching, and dynamically adjusts to obtain the storage pallet model. The wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet. The display output unit outputs and displays the wear report of the storage pallet according to the degree of wear of the pallet.

[0033] A storage pallet wear analysis method based on Unreal Engine simulation is applicable to a storage pallet wear analysis system based on Unreal Engine simulation, such as Figure 2 As shown, the specific steps include:

[0034] Step 1: The information processing unit collects information of the storage pallet to obtain pallet information data.

[0035] Step 2: The model matching unit selects a corresponding preset three-dimensional model in the model database according to the collected pallet information data for matching, and dynamically adjusts to obtain a storage pallet model.

[0036] Step 3: The wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet.

[0037] Step 4: The display output unit outputs and displays the wear report of the storage pallet according to the wear degree of the pallet.

[0038] More specifically, Figure 3 As shown, the specific operation steps of the information processing unit in step 1 are:

[0039] Step 101: Collect basic information of the storage pallet.

[0040] The information processing unit includes an information collection module, through which the basic information of the storage pallet is collected. The information collection module can be an electronic device such as a PDA barcode scanner, and is not specifically limited here.

[0041] The basic information of the storage pallet includes pallet number, manufacturing date, usage history and other related attribute information.

[0042] Specifically, the storage pallet to be inspected may be placed in a designated inspection area, and the information code of the storage pallet may be scanned to obtain the basic information of the storage pallet. The information code may be a unique identifier containing basic attribute information such as a QR code or a barcode pasted or printed on the storage pallet. As long as the information code can contain the basic information of the storage pallet, the specific form of the information code is not limited here.

[0043] Step 102: pre-process the information of the storage pallet to obtain pallet information data.

[0044] The information processing unit further includes an information processing module, which performs data preprocessing on the acquired basic information of the storage pallet and outputs pallet information data in a unified format.

[0045] The data preprocessing includes format conversion and data verification operations. The format conversion is to convert the basic information of the storage pallet into the same format. The basic information formats of different storage pallets may be different. Through format conversion, the pallet information data presented in the same format can be obtained. The data verification is used to limit the input data type, range or specific conditions. Through data preprocessing, the output data format can be unified, thereby ensuring the accuracy and availability of the pallet information data and preventing the input of erroneous or invalid data.

[0046] More specifically, Figure 4 As shown, the specific operation steps of the model matching unit in step 2 are:

[0047] Step 201: According to the pallet information data, a corresponding preset three-dimensional model is searched and selected in a model database to obtain a three-dimensional model of the pallet.

[0048] The model matching unit includes a model database, wherein the model database stores preset three-dimensional models of various storage pallets. According to the basic information of the storage pallet collected by the data collection unit, the appropriate preset three-dimensional model is retrieved and selected in the model database to obtain the pallet three-dimensional model corresponding to the storage pallet.

[0049] Step 202: dynamically adjust the three-dimensional model of the pallet to obtain a storage pallet model.

[0050] The pallet three-dimensional model is matched according to the pallet information data, and the surface of the storage pallet is monitored in real time. The surface data of the storage pallet is input into the pallet three-dimensional model through rendering by the Unreal Engine to simulate the actual wear and corrosion effects, so as to obtain a storage pallet model that can reflect the actual status of the storage pallet in real time.

[0051] The surface data of the storage pallet includes material and texture. The material is a set of attributes that describe the appearance and optical properties of an object. It is a comprehensive attribute that includes not only color and texture, but also various optical properties, such as the color, reflection properties, transparency, refractive index, etc. of the object. The texture refers to the lines on the surface of an object. There are more or less differences on the surface of each object. The main reason for the different appearances is the difference in texture. The texture is an image used to simulate the details of the surface of an object. By mapping the texture to the model surface, the model can be given a more realistic appearance and details.

[0052] A complete material usually contains multiple textures, such as base color, normal, ambient occlusion, roughness, and metalness. These textures work together to present a realistic appearance and details when rendering. Textures and materials are used together to reflect the actual wear and tear of storage pallets.

[0053] In the present invention, a material function WearFunction is established to represent the dynamic process of wear. Inside the material function WearFunction, a material parameter WearAmount is added in the material editor to represent the degree of wear. The material function WearFunction receives the original texture and the material parameter WearAmount as input, and outputs the modified texture at different times over time, thereby obtaining different degrees of wear, thereby generating a storage pallet model that meets different time requirements.

[0054] The material function WearFunction stores the commonly used material node network, copies the internal nodes of the material function WearFunction into the material function WearFunction, and connects the input and output. When rendering the storage pallet model of a storage pallet of other materials, the material function WearFunction is used to describe the characteristics and appearance of the material surface. The material function WearFunction is obtained by encapsulating the commonly used material node network into a function. The material function WearFunction can control the quality and efficiency of the virtual engine rendering results and create a sense of reality.

[0055] The steps of creating and using the material function WearFunction are as follows: first, the input and output interfaces of the material function need to be defined, and the input and output interfaces allow the material function to receive external data and return processing results. In the material editor of the virtual engine, the core logic of the material function is written using standard material expression nodes. After the material function is written, it is published to the material function library for selection and use. When rendering the storage pallet model of storage pallets of other materials, the storage pallet model can also be obtained by selecting the published material function and calling the material function by connecting the input and output interfaces.

[0056] Specifically, micro cameras are provided on the surfaces of the four corners of the storage pallet, and the micro cameras are used to collect real-time images of the surface of the storage pallet, thereby obtaining an overall image of the wear area on the surface of the storage pallet: a wear image. The collected wear image is processed to obtain corresponding surface wear data and wear contamination data, and the surface wear data and wear contamination data are respectively output to the material function WearFunction for real-time rendering and updating.

[0057] More specifically, the wear image of the storage pallet acquired by the micro camera of the present invention is a color image, which is quantitatively represented by the superposition of the three primary color components of red (R), green (G), and blue (B), and the three RGB color channels are each divided into 256 levels of brightness, with values ​​ranging from 0 to 255. The wear image of the storage pallet is quantified and displayed, so as to convert the wear image on the storage pallet into a data format: surface wear data and wear contamination data. The surface wear data and wear contamination data are output to the material function WearFunction in the form of data as the material parameter WearAmount, and the material function WearFunction updates and predicts the wear area and the degree of contamination of the wear area of ​​the storage pallet according to the input data.

[0058] For example, as the use time increases, the area of ​​the wear area gradually increases, the wear depth gradually increases, and the pollution degree of the wear area gradually increases. Therefore, the model matching unit updates the three-dimensional model of the pallet in real time according to the surface wear data of the storage pallet collected in real time, and obtains a storage pallet model that changes dynamically over time.

[0059] The surface wear data of the present invention includes the wear area, wear depth, etc.; the wear pollution data includes the type of pollutants, the area of ​​pollutants, the height of pollutants, etc., which are not specifically limited here.

[0060] The image processing is the process of converting the image information of the real world into data information and processing it using a PC terminal. The image processing has high processing accuracy, rich processing content, can perform complex nonlinear processing, and has flexible adaptability, but the processing speed is slow.

[0061] The wear image of the storage pallet may also be acquired by reading radio frequency identification (RFID) data through a reader / writer and sending an instruction to the micro camera to take a photo.

[0062] The radio frequency identification technology, also known as wireless radio frequency identification technology, is a type of automatic identification technology. The RFID is set on the conveyor line detection, and uses radio waves to quickly exchange and store information without contact. It combines wireless communication with data access technology, and then connects to the database system to achieve non-contact two-way communication, thereby achieving the purpose of identification and data exchange. Therefore, non-contact two-way data communication is carried out through wireless radio frequency, and the recording medium is read and written using wireless radio frequency, thereby achieving the purpose of identifying the target and exchanging data.

[0063] More specifically, the specific operation steps of the wear assessment unit in step 3 are:

[0064] The wear assessment unit calculates the material and texture status of the storage pallet model at different times based on the surface wear data and wear contamination data of the storage pallet; and estimates the material and texture status at the next moment based on the material and texture status at the current moment, thereby obtaining the estimated surface wear data of the storage pallet and the estimated wear contamination data of the wear area, thereby obtaining the pallet wear degree of the storage pallet.

[0065] Specifically, the surface wear data and wear contamination data obtained from the wear image are input into the storage pallet model as input values, and the material function WearFunction of the storage pallet model predicts and updates the storage pallet model according to the input surface wear data and / or wear contamination data.

[0066] The process of predicting the estimated surface wear data by the material function is to establish a wear depth-time coordinate system according to the depth and time of the wear area, and to use the depth of the wear area in the existing input surface wear data as the ordinate and the time as the abscissa, and to punctuate and draw lines in the wear depth-time coordinate system, so as to predict the surface wear data at any time, and obtain the estimated surface wear data of the storage pallet. Similarly, the process of predicting the estimated wear contamination data is also to establish a pollutant quantity-time coordinate system according to the pollutant quantity and time in the wear area, and to use the pollutant quantity in the input wear contamination data as the ordinate and the time as the abscissa, and to punctuate and draw lines in the pollutant quantity-time coordinate system, so as to predict the wear contamination data at any time, and obtain the estimated wear contamination data of the wear area of ​​the storage pallet.

[0067] The shape of the graph obtained by punctuating and drawing lines in the wear depth-time coordinate system and / or the pollutant quantity-time coordinate system can be a linear function, a quadratic function or other different functions, or a combination of multiple functions, which is not specifically limited in the present invention.

[0068] A wear report of the storage pallet model is outputted based on the surface wear data and wear contamination data of the storage pallet as well as the predicted estimated surface wear data and estimated wear contamination data of the wear area of ​​the storage pallet.

[0069] The wear report includes basic information of the storage pallet, an image of the wear area of ​​the storage pallet, a quantitative assessment of the degree of wear, an image of the degree of contamination of the wear area, and the like.

[0070] More specifically, the specific operation steps of the display output unit in step 4 are:

[0071] The display output unit includes a display device and a data interface. The display device can display the detailed results of the wear analysis of the storage pallet, so that the operator can directly view the wear report of the storage pallet, including images of the wear area, quantitative assessment of the degree of wear, images of the degree of contamination in the wear area, etc. According to the degree of wear of the pallet, the display output unit automatically generates a wear report containing maintenance and / or replacement suggestions, and displays it to the operator intuitively and conveniently. The operator can make corresponding maintenance decisions based on the maintenance and / or replacement suggestions given in the wear report.

[0072] The data interface can export detailed information of the storage pallet detected each time and the surface wear data and wear contamination data of the storage pallet predicted and evaluated. The detailed information of the storage pallet includes pallet identification, detection time, wear analysis results and maintenance suggestions, etc. It can be seamlessly integrated with existing logistics and warehousing management systems to adapt to different application scenarios and needs. The surface wear data, wear contamination data and wear reports exported by the data interface are in standard formats, including but not limited to CSV, Excel or PDF, for easy archiving and further analysis.

[0073] More specifically, the storage pallet wear analysis system and method based on Unreal Engine simulation of the present invention can also be integrated with existing logistics and / or warehouse management systems to achieve data sharing and process automation. The pallet status can be automatically updated, and related maintenance processes can be triggered to improve overall operational efficiency.

[0074] The present invention provides a storage pallet wear analysis system and method based on Unreal Engine simulation. First, the wear state of the pallet is dynamically simulated using Unreal Engine's advanced rendering technology, and the wear degree is accurately analyzed in combination with a machine learning algorithm to reduce errors caused by human factors. Secondly, the pallet state is monitored in real time through an automated system to promptly detect and handle potential wear problems, thereby avoiding damage to goods and premature scrapping of pallets. Finally, the overall detection cost is reduced by reducing dependence on expensive hardware equipment and simplifying the data processing process.

[0075] The above content is an explanation of the preferred embodiments of the present invention, which can help those skilled in the art to more fully understand the technical solution of the present invention. However, these embodiments are merely illustrative, and it cannot be determined that the specific implementation methods of the present invention are limited to the description of these embodiments. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, several simple deductions and transformations can be made, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. A storage pallet wear analysis system based on Unreal Engine simulation, characterized in that: It includes an information processing unit, a model matching unit, a wear assessment unit and a display output unit; the information processing unit collects the information of the storage pallet to obtain pallet information data; The model matching unit selects a corresponding preset three-dimensional model in the model database for matching according to the pallet information data, and dynamically adjusts to obtain a storage pallet model; the model matching unit matches the pallet three-dimensional model according to the pallet information data, monitors the surface of the storage pallet in real time, and inputs the surface data of the storage pallet into the pallet three-dimensional model through the rendering of the Unreal Engine to simulate the actual wear and corrosion effects, so as to obtain a storage pallet model that can reflect the actual state of the storage pallet in real time; the model matching unit establishes a material function WearFunction to represent the dynamic process of wear, and inside the material function WearFunction, adds a material parameter WearAmount in the material editor to represent the degree of wear; the material function WearFunction receives the original texture and the material parameter WearAmount as input, and outputs the modified texture at different times as time goes by, so as to obtain different degrees of wear, thereby generating a storage pallet model that meets different times; The wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet; including performing image processing on the collected wear image to obtain corresponding surface wear data and wear contamination data, and outputting the surface wear data and wear contamination data to the material function WearFunction for real-time rendering and updating; the wear assessment unit calculates the material and texture state of the storage pallet model at different times based on the surface wear data and wear contamination data of the storage pallet; and estimates and calculates the material and texture state at the next time based on the material and texture state at the current time, thereby obtaining the estimated surface wear data of the storage pallet and the estimated wear contamination data of the wear area, thereby obtaining the degree of wear of the storage pallet; The display output unit outputs and displays a wear report of the storage pallet according to the wear degree of the pallet.

2. According to the Unreal Engine-based storage pallet wear analysis system of claim 1, it is characterized in that: The information processing unit includes an information collection module and an information processing module. The information collection module collects basic information of the storage pallet. The information processing module performs data preprocessing on the basic information of the storage pallet and outputs pallet information data in a unified format.

3. The storage pallet wear analysis system based on Unreal Engine simulation according to claim 2 is characterized in that: The data preprocessing includes format conversion and data verification; the format conversion is to convert the basic information of the storage pallet into the same format; the data verification is used to limit the type and range of input data.

4. The storage pallet wear analysis system based on Unreal Engine simulation according to claim 1 is characterized in that: The model matching unit searches and selects a corresponding preset three-dimensional model in a model database according to the pallet information data to obtain a three-dimensional model of the pallet.

5. The storage pallet wear analysis system based on Unreal Engine simulation according to claim 1 is characterized in that: The material function establishes a wear depth-time coordinate system according to the depth and time of the wear area, and uses the depth of the wear area in the input surface wear data as the ordinate and the time as the abscissa to perform punctuation and draw lines in the wear depth-time coordinate system, thereby predicting the surface wear data at any time and obtaining the estimated surface wear data of the storage pallet; Similarly, a pollutant quantity-time coordinate system is established based on the pollutant quantity and time in the wear area. The pollutant quantity-time coordinate system is punctuated and drawn based on the input wear and pollution data, with the pollutant quantity as the vertical coordinate and the time as the horizontal coordinate. The wear and pollution data at any moment are predicted to obtain the estimated wear and pollution data of the wear area of ​​the storage pallet.

6. The storage pallet wear analysis system based on Unreal Engine simulation according to claim 1 is characterized in that: The display output unit includes a display device and a data interface; the display device displays the detailed results of the wear analysis of the storage pallet, and the wear report of the storage pallet can be directly viewed; The data interface exports detailed information of the storage pallet detected each time and the surface wear data and wear contamination data of the storage pallet for prediction and evaluation. The surface wear data, wear contamination data and wear report exported by the data interface are in a standard format.

7. A storage pallet wear analysis method based on Unreal Engine simulation, applicable to the storage pallet wear analysis system based on Unreal Engine simulation as claimed in claim 1, characterized in that: Specifically include: Step 1: The information processing unit collects the information of the storage pallet to obtain pallet information data; Step 2, the model matching unit selects the corresponding preset three-dimensional model in the model database according to the collected pallet information data for matching, and dynamically adjusts to obtain a storage pallet model; the model matching unit matches the pallet three-dimensional model according to the pallet information data, monitors the surface of the storage pallet in real time, and inputs the surface data of the storage pallet into the pallet three-dimensional model through the rendering of the Unreal Engine to simulate the actual wear and corrosion effects, so as to obtain a storage pallet model that can reflect the actual state of the storage pallet in real time; the model matching unit establishes a material function WearFunction to represent the dynamic process of wear, and inside the material function WearFunction, adds a material parameter WearAmount in the material editor to represent the degree of wear; the material function WearFunction receives the original texture and the material parameter WearAmount as input, and outputs the modified texture at different times as time goes by, so as to obtain different degrees of wear, thereby generating a storage pallet model that meets different times; Step 3, the wear assessment unit performs a predictive assessment based on the storage pallet model to obtain the degree of wear of the pallet; including performing image processing on the collected wear image to obtain corresponding surface wear data and wear contamination data, and outputting the surface wear data and wear contamination data to the material function WearFunction for real-time rendering and updating; the wear assessment unit calculates the material and texture state of the storage pallet model at different times based on the surface wear data and wear contamination data of the storage pallet; and estimates and calculates the material and texture state at the next time based on the material and texture state at the current time, thereby obtaining the estimated surface wear data of the storage pallet and the estimated wear contamination data of the wear area, thereby obtaining the degree of wear of the storage pallet; Step 4: The display output unit outputs and displays the wear report of the storage pallet according to the wear degree of the pallet.

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