A trading method and system for a half-height container

Abstract

The present invention provides a trading method and system for semi-high containers. In response to a resale trading instruction, the basic characteristics of the container body uploaded by the first trading end are received, and the basic container body model and the basic value of the container body are retrieved according to the basic characteristics of the container body and sent to the first trading end; based on the transparent layer, the planning traces of the basic container body model by the first trading end are received, the planning area is determined according to the planning traces, and the actual defect image is associated with the planning area to obtain a primary evaluation model and sent to the detection end; according to the refrigeration detection requirements of the detection end, the primary evaluation model is divided based on the container body endpoints to obtain a multi-level function display space, and the multi-level function is obtained to customize and update the multi-level function display space to obtain a secondary evaluation model; the secondary evaluation model is evaluated to obtain an evaluation coefficient, the basic value of the container body is adjusted according to the evaluation coefficient to obtain the recommended value of the container body, and the secondary evaluation model is updated based on the recommended value of the container body to obtain a comprehensive recommendation model.

Description

Technical Field

[0001] The present invention relates to the technical field of quality inspection, and particularly to a trading method and system for semi-high containers. Background Art

[0002] As a main transportation tool in the field of cargo transportation, semi-high containers enable various types of goods to be conveniently and quickly transported from one transportation node to another, and have now become a key part of global trade. Over time, the cargo transportation needs of users may change. For example, some semi-high containers may no longer be suitable for long-distance transportation due to aging or wear, but can still be used for short-distance or temporary storage. Therefore, many semi-high containers are reintroduced into the market for other users to purchase, thus meeting the cargo transportation requirements of different users.

[0003] In the current second-hand trading of semi-high containers, there is a lack of a method for automatically analyzing the data of semi-high containers uploaded by users, generating recommended data, and assisting users in formulating trading data based on the recommended data. Summary of the Invention

[0004] An embodiment of the present invention provides a trading method and system for semi-high containers, which can automatically analyze the data of semi-high containers uploaded by users, generate recommended data, and assist users in formulating trading data based on the recommended data.

[0005] In a first aspect of an embodiment of the present invention, a trading method for semi-high containers is provided, including responding to a resale trading instruction, receiving the basic characteristics of the container body uploaded by a first trading end, retrieving a basic container body model and a basic value of the container body according to the basic characteristics of the container body and sending them to the first trading end, receiving the planning traces of the basic container body model from the first trading end based on a transparent layer, determining a planning area according to the planning traces, associating an actual defect image based on the planning area to obtain a primary evaluation model and sending it to a detection end, dividing the primary evaluation model based on the endpoints of the container body according to the refrigeration detection requirements of the detection end to obtain a multi-level function display space, obtaining a multi-level function to customize and update the multi-level function display space to obtain a secondary evaluation model, retrieving a comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjusting the basic value of the container body according to the evaluation coefficient to obtain a recommended value of the container body, and updating the secondary evaluation model based on the recommended value of the container body to obtain a comprehensive recommended model.

[0006] Optionally, in a possible implementation of the first aspect, the response to the resale transaction instruction, receiving the basic characteristics of the container uploaded by the first trading party, and retrieving the basic container model and the basic container value according to the basic characteristics of the container and sending them to the first trading party, includes: invoking an attribute entry interface in response to the resale transaction instruction, obtaining attribute editing data of the semi-high container to be sold based on the attribute entry interface, identifying the attribute editing data, obtaining the basic characteristics of the container, extracting resale attribute data according to the basic characteristics of the container, the resale attribute data including the basic container model and the basic container value, and sending the basic container model and the basic container value to the first trading party.

[0007] Optionally, in a possible implementation of the first aspect, based on the transparent layer, receiving the planning traces of the basic container model from the first trading party, determining the planning area according to the planning traces, and associating the actual defect image with the planning area to obtain a primary evaluation model and sending it to the detection end, includes: receiving the click information of the first trading party on the basic container model, the click information including the outer side click information and / or the inner side click information, determining the click surface of the basic container model according to the click information, retrieving the transparent layer corresponding to the click surface and overlaying it above the click surface, obtaining the planning actions of the user based on the transparent layer, identifying the planning actions to obtain the planning traces, determining the planning area corresponding to the click surface according to the planning traces, the planning area including the internal planning area and / or the external planning area, associating the corresponding actual defect images with the internal planning area and / or the external planning area, obtaining a primary evaluation model and sending it to the detection end.

[0008] Optionally, in a possible implementation of the first aspect, the step of associating the corresponding actual defect images based on the internal planning area and / or the external planning area and sending the obtained primary evaluation model to the detection end includes: responding to the information of the first trading end selecting each internal planning area one by one, receiving the actual defect images and establishing associations with the internal planning areas; responding to any selection information of the first trading end for the external planning area, obtaining the clicked surface corresponding to the external planning area as the first clicked surface, counting all the external planning areas of the first clicked surface as associated planning areas, performing coordinate conversion on the first clicked surface based on the center point of the first clicked surface to obtain a plurality of first coordinate sets corresponding to the associated planning areas, receiving the external side image of the clicked surface uploaded by the first trading end, obtaining the edge of the box body in the external side image, intercepting the external side image according to the edge of the box body to obtain the box body side image, adjusting the size of the box body side image according to the preset size corresponding to the first clicked surface to obtain a standard image, performing coordinate conversion on the standard image based on the center point of the standard image, determining the corresponding coordinate set in the standard image according to the first coordinate set to obtain a plurality of second coordinate sets, batch intercepting the corresponding areas in the standard image according to the second coordinate sets as actual defect images, associating the actual defect images with the corresponding external planning areas one by one, and sending the obtained primary evaluation model to the detection end.

[0009] Optionally, in a possible implementation of the first aspect, according to the refrigeration detection requirements of the detection end, dividing the primary evaluation model based on the box body endpoints to obtain a multi-level function display space, and obtaining a secondary evaluation model by customizing and updating the multi-level function display space with multi-level functions, includes: according to the refrigeration monitoring requirements of the detection end, obtaining the sensor layout information uploaded by the detection end, determining the corresponding box body corner points at the corresponding positions as display endpoints based on the sensor layout information, constructing a primary function display space at the position of the display endpoints corresponding to the primary evaluation model, determining the middle position in the length direction of the primary evaluation model, and generating a secondary function display space by expanding the space to both sides based on the middle position. The multi-level function display space includes the primary function display space and the secondary function display space. Obtaining the primary functions corresponding to the display endpoints to update the primary function display space, obtaining the corresponding secondary function based on the summary information of the plurality of primary functions, and updating the secondary function display space based on the secondary function to obtain the secondary evaluation model.

[0010] Optionally, in a possible implementation manner of the first aspect, obtaining the primary function corresponding to the display endpoint to update the primary function display space, obtaining the corresponding secondary function according to the summary information of multiple primary functions, and updating the secondary function display space based on the secondary function to obtain a secondary evaluation model, including: receiving the temperature fluctuation data acquired by each sensor, generating the primary function corresponding to each display endpoint based on the temperature fluctuation data, and updating the corresponding primary function display space according to the primary function; taking the time of each primary function as a reference, performing temperature mean processing on multiple primary functions to obtain the summary information corresponding to each time, generating the corresponding secondary function according to the summary information, and updating the secondary function display space based on the secondary function to obtain a secondary evaluation model.

[0011] Optionally, in a possible implementation manner of the first aspect, obtaining the spatial model parameters of the primary function display space and the secondary function display space, and determining the spatial center points of the primary function display space and the secondary function display space, establishing a corresponding initial spatial display surface with the spatial center point as the center and the extreme values of the spatial model parameters as the boundaries, where the initial spatial display surface includes a first spatial surface and a second spatial surface that are perpendicular to each other, selecting the first spatial surface or the second spatial surface according to the user's interaction perspective, adjusting the angle of the first spatial surface or the second spatial surface, and adding the corresponding primary function or secondary function to the selected and adjusted first spatial surface or second spatial surface, obtaining the browsing data of each user for the primary function display space and the secondary function display space to generate customized data, and after determining that the user chooses to view a new box body, generating a customized browsing video of the new box body based on the customized data, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video.

[0012] Optionally, in a possible implementation of the first aspect, the selection of the first spatial plane or the second spatial plane according to the user's perspective, the angle adjustment of the first spatial plane or the second spatial plane, and the addition of the corresponding primary function or secondary function to the selected and adjusted first spatial plane or second spatial plane include: determining the user's initial interaction perspective, determining one of the first spatial plane or the second spatial plane based on the interaction perspective, with a preset first spatial plane or second spatial plane for each direction of the interaction perspective, respectively displaying each primary function display space, the primary function and the secondary function of the secondary function display space to the corresponding first spatial plane or second spatial plane. If it is determined that the corresponding user makes an angle adjustment, the display of the primary function and the secondary function will no longer be performed, and the angle of the first spatial plane or the second spatial plane will be adjusted accordingly based on the value of the angle adjustment. After the angle adjustment, the primary function and the secondary function will be displayed again. After it is determined that the angle adjustment reaches the threshold, the first spatial plane or the second spatial plane will be switched, and the corresponding primary function or secondary function will be added to the selected and adjusted first spatial plane or second spatial plane.

[0013] Optionally, in a possible implementation of the first aspect, obtaining the browsing data of each user for the primary function display space and the secondary function display space to generate customized data, and generating a customized browsing video of the new box based on the customized data after determining that the user selects to view a new box, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video, include: obtaining the first spatial plane or the second spatial plane corresponding to the primary function display space and the secondary function display space of each box corresponding to the historical number of each user viewed, obtaining the staying time of each first spatial plane or second spatial plane, obtaining the viewing order of each first spatial plane or second spatial plane corresponding to each box in the viewing history of each user, generating a corresponding sequential angle node path based on the order and angle of the first spatial plane or the second spatial plane, sorting the boxes based on the viewing time of each box in the historical number, generating a staying weight for each staying time based on the sorting, with a preset staying weight for each order, and the staying weight corresponding to the viewing time increasing gradually from far to near. Automatically extracting corresponding data for the new box based on the sequential angle node path, staying time, and staying weight to generate a customized browsing video of the new box.

[0014] Optionally, in a possible implementation of the first aspect, the corresponding automatic data extraction is performed on the new box body based on the sequential angle node path and the staying time, and a customized browsing video of the new box body is generated, including: obtaining the number of sequential angle nodes in the sequential angle node path, generating a corresponding staying time offset value based on the comparison between the number and a preset number, performing a staying time offset process on the staying time based on the staying time offset value, and obtaining the browsing sub-time of each sequential angle node in the sequential angle node path; calculating the browsing sub-time of each sequential angle node through the following formula,

[0015] ,

[0016] wherein, is the browsing sub-time of the th first spatial surface or second spatial surface at the th angle, is the staying time of the box body viewed historically at the th first spatial surface or second spatial surface at the th angle, is the staying weight of the box body viewed historically at the th first spatial surface or second spatial surface at the th angle, is the upper limit value of the box body viewed historically, is the numerical value of the number of box bodies viewed historically, is a constant value, is the number of the sequential angle node path, is the preset number, is the numerical weight value.

[0017] Optionally, in a possible implementation of the first aspect, the comprehensive evaluation model is invoked to evaluate the secondary evaluation model, and an evaluation coefficient is obtained. The recommended value of the box body is obtained by adjusting the basic value of the box body according to the evaluation coefficient, including: invoking the comprehensive evaluation model to obtain the starting data and ending data of the fluctuation of the first-level function, determining the test fluctuation slope according to the starting data and ending data of the fluctuation, obtaining the test fluctuation limit according to the ending data of the fluctuation, obtaining the first-level preset function corresponding to the first-level function, determining the standard fluctuation slope according to the starting data and ending data of the fluctuation of the first-level preset function, when the test fluctuation limit reaches the preset standard fluctuation limit, obtaining the ratio information of the test fluctuation slope and the standard fluctuation slope, obtaining the effect evaluation coefficient according to the ratio information, calculating the basic value of the box body based on the effect evaluation coefficient, obtaining the first-level effect reduction associated with the first-level function, obtaining the second-level effect reduction according to the sum of multiple first-level effect reductions, and associating the second-level effect reduction with the second-level function.

[0018] Optionally, call the comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, and adjust the basic value of the box according to the evaluation coefficient to obtain the recommended value of the box, including: calling the comprehensive evaluation model to analyze the type of the actual defect image to obtain the defect type of the actual defect image, extracting the defect contour in the actual defect image, obtaining the defect area of the defect contour, obtaining a defect evaluation coefficient according to the ratio of the defect area to the area normalization value, calling the preset correspondence table corresponding to the defect type, determining the defect reduction corresponding to the defect evaluation coefficient according to the preset correspondence table, associating the defect reduction with the planning area one by one, the preset correspondence table includes the correspondence between the coefficient interval and the defect reduction, obtaining the total defect reduction according to the sum of the defect reductions, and reducing and adjusting the basic value of the box based on the secondary effect reduction and the total defect reduction to obtain the recommended value of the box.

[0019] In the second aspect of the embodiments of the present invention, a trading system for semi-high containers is provided, including: a feature acquisition module, configured to respond to a resale transaction instruction, receive the basic features of the box uploaded by the first trading end, and call the basic box model and the basic value of the box according to the basic features of the box and send them to the first trading end; a region association module, configured to receive the planning trace of the basic box model from the first trading end based on the transparent layer, determine the planning area according to the planning trace, and associate the actual defect image based on the planning area to obtain a primary evaluation model and send it to the detection end; a customization and update module, configured to divide the primary evaluation model into a multi-level function display space based on the box endpoints according to the refrigeration detection requirements of the detection end, obtain multi-level functions to customize and update the multi-level function display space, and obtain a secondary evaluation model; a model generation module, configured to call the comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjust the basic value of the box according to the evaluation coefficient to obtain the recommended value of the box, and update the secondary evaluation model based on the recommended value of the box to obtain a comprehensive recommended model.

[0020] The beneficial effects of the present invention are as follows:

[0021] 1. The present invention can determine the box body basic model and the box body basic value of the semi-high container to be sold according to the box body basic features uploaded by the user, update the appearance data of the box body basic model to obtain a primary evaluation model, then update the data corresponding to the refrigeration effect of the primary evaluation model to obtain a secondary evaluation model, and finally evaluate the secondary evaluation model to obtain an evaluation coefficient. Based on the evaluation coefficient, the box body basic value is adjusted to obtain the box body recommended value, and the secondary evaluation model is updated based on the box body recommended value to obtain a comprehensive recommendation model. The embodiment of the present invention automatically analyzes the semi-high container data uploaded by the user, thereby generating recommendation data and assisting the user in formulating transaction data based on the recommendation data.

[0022] 2. The present invention can obtain the corresponding click surface according to the external planning area information selected by the first trading end, and use the click surface as the first click surface. Count all the external planning areas of the first click surface as the associated planning areas. Through coordinate processing and size adjustment, the external side image corresponding to the associated planning area is processed to obtain a standard image. Based on the center point of the standard image, coordinate processing is performed to determine the corresponding coordinate set. According to the second coordinate set, the corresponding areas in the standard image are batch intercepted as actual defect images, and the batch-processed actual defect images are associated with the external planning areas one by one, thereby obtaining a primary evaluation model. In the embodiment of the present invention, by batch intercepting the corresponding areas in the standard image as actual defect images and associating the batch-processed actual defect images with the external planning areas one by one, the update speed of the external appearance data in the box body basic model is improved, and thus the primary evaluation model can be quickly obtained.

[0023] 3. According to the refrigeration monitoring requirements of the detection end, the present invention obtains the sensor layout information uploaded by the detection end, determines the box body corner points at the corresponding positions based on the sensor layout information as the display end points, constructs a first-order function display space at the position of the primary evaluation model corresponding to the display end points, determines the middle position in the length direction of the primary evaluation model, and expands the space to both sides based on the middle position to generate a second-order function display space. The multi-order function display space includes the first-order function display space and the second-order function display space. Obtain the first-order function corresponding to the display end point to update the first-order function display space, obtain the corresponding second-order function according to the summary information of multiple first-order functions, and update the second-order function display space based on the second-order function to obtain a secondary evaluation model. The present invention realizes the update of the refrigeration effect in the primary evaluation model by generating a first-order function display space to display the functions corresponding to each display end point and generating a second-order function display space to display the second-order function obtained from the summary information of the first-order functions, enabling the user to clearly see the refrigeration effect of the semi-high container to be sold when viewing the model.

[0024] 4. The present invention can obtain the spatial model parameters of the primary function display space and the secondary function display space, determine their spatial center points, establish a first spatial plane and a second spatial plane perpendicular to each other as the initial spatial display planes based on the spatial center points and extreme values, select and adjust the first spatial plane or the second spatial plane according to the user's interaction perspective, add the corresponding primary functions and secondary functions to the adjusted first spatial plane or second spatial plane, obtain the browsing data of each user for the primary function display space and the secondary function display space, and convert it into customized data. When the user views a new box, a customized browsing video of the new box is generated based on these customized data. According to the user's interaction behavior and personalized browsing data, the present invention can generate a customized display angle and display content, improving the user's interactivity. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic flowchart of a trading method for a semi-high container provided by an embodiment of the present application;

[0026] Figure 2 is a schematic diagram of obtaining a primary evaluation model provided by an embodiment of the present application;

[0027] Figure 3 is a schematic diagram of generating a primary function display space and a secondary function display space provided by an embodiment of the present application;

[0028] Figure 4 is a schematic diagram of a primary function provided by an embodiment of the present application;

[0029] Figure 5 is a schematic structural diagram of a trading system for a semi-high container provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to 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 used to limit the present invention.

[0031] It should be noted that if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, and all are within the protection scope of the present invention. In addition, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the device schematic diagram or the flowchart.

[0032] In the description, claims and the above drawings of the present invention, the terms "first", "second", "third", "fourth", etc. (if any) are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein.

[0033] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0034] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used in the description of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0035] Please refer to Figure 1 , Figure 1 is a schematic flow chart of a trading method for a semi-high container provided by an embodiment of the present application, including steps S1 to S4, specifically as follows:

[0036] S1. In response to a resale transaction instruction, receive the basic characteristics of the container uploaded by the first trading party, and retrieve the basic container model and the basic container value according to the basic characteristics of the container and send them to the first trading party.

[0037] Among them, the resale transaction instruction represents an instruction issued by the seller for a second-hand transaction of the container to be sold; the first trading party represents the terminal device used by the seller, which may be a computer, a smart phone, a tablet computer, etc. The basic characteristics of the container are the basic characteristics or attributes of the semi-high container to be sold, including but not limited to model, size, material, purchase age, etc.; the basic container model represents a digital model used to describe the corresponding basic characteristics of the semi-high container to be sold; the basic container value represents the price paid by the seller when initially purchasing the semi-high container to be sold.

[0038] It can be understood that once the model and purchase age of the semi-high container to be sold are determined according to the basic characteristics of the container uploaded by the seller, then the relevant data such as the size and material of the semi-high container can also be determined based on the model and purchase age.

[0039] In some embodiments, the steps in step S1 (responding to the resale transaction instruction, receiving the basic characteristics of the container uploaded by the first trading party, and retrieving the basic container model and the basic container value according to the basic characteristics of the container and sending them to the first trading party) specifically include steps S11 - S13:

[0040] S11. Invoke the attribute entry interface in response to the resale transaction instruction, and obtain the attribute editing data of the semi - high container to be sold based on the attribute entry interface.

[0041] Among them, the attribute entry interface represents a user interface for the seller to input the basic characteristics or attributes of the semi - high container; the semi - high container to be sold represents the semi - high container that the seller intends to conduct a second - hand transaction on; the attribute editing data represents the attribute data of the semi - high container to be sold input by the seller on the attribute entry interface, which may be the model and purchase years of the semi - high container to be sold, etc.

[0042] S12. Identify the attribute editing data, obtain the basic characteristics of the container, and extract the resale attribute data according to the basic characteristics of the container. The resale attribute data includes the basic container model and the basic container value.

[0043] Among them, the resale attribute data represents the basic transaction data for the second - hand transaction of the semi - high container to be sold.

[0044] Specifically, techniques such as optical character recognition and image processing can be used to identify the attribute editing data to obtain the attribute editing data, and then keyword extraction of the basic characteristics of the container is performed to complete the extraction of the basic characteristics of the container. Optical character recognition, keyword extraction, and image processing techniques are well - known to those skilled in the art and will not be elaborated here;

[0045] S13. Send the basic container model and the basic container value to the first trading party.

[0046] It should be noted that a communication connection is established between the server and the first trading party, and data, messages, and responses can be transmitted between the two. The server can receive the basic characteristics of the container sent by the first trading party, process the basic characteristics of the container, and obtain the basic container model and the basic container value and send them to the first trading party.

[0047] S2. Receive the planning trace of the basic container model from the first trading party based on the transparent layer, determine the planning area according to the planning trace, and associate the actual defect image based on the planning area to obtain the primary evaluation model and send it to the detection end.

[0048] Among them, please refer to Figure 2 , Figure 2It is a schematic diagram of obtaining a primary evaluation model provided by an embodiment of the present application. The transparent layer represents a virtual layer or visual effect; the planning trace represents the drawing path when the user makes marks on the transparent layer; the planning area is the enclosed area surrounded by the planning trace, that is, the enclosed area surrounded by the drawing path; the actual defect image represents the actual appearance map of the appearance defects of the semi-high container for sale; the primary evaluation model represents the box base model integrated with appearance defect data; the detection end represents the terminal device used by third-party staff, which may be a computer, a smart phone, a tablet computer, etc.

[0049] In some embodiments, (receiving, based on the transparent layer, the planning trace of the box base model from the first trading end, determining the planning area according to the planning trace, and obtaining the primary evaluation model by associating the actual defect image based on the planning area and sending it to the detection end) in step S2 specifically includes steps S21 - S24:

[0050] S21. Receive the click information of the box base model from the first trading end. The click information includes outer side click information and / or inner side click information, and determine the click surface of the box base model according to the click information.

[0051] Among them, the click information represents the position and operation where the seller clicks on the surface of the box base model through the first trading end; the outer side click information represents the position and operation where the seller clicks on the outer surface of the box base model; the inner side click information represents the position and operation where the seller clicks on the inner surface of the box base model; the click surface represents the specific surface where the seller clicks on the box base model during the click operation.

[0052] The received click information can be parsed through a data parsing model to determine which surface of the box base model the seller clicks on. The data parsing model is well-known to those skilled in the art and will not be elaborated here.

[0053] Example: The box base model corresponding to the semi-high container for sale has a total of 12 surfaces, which are numbered from 1 to 12 with Arabic numerals. The received click information is parsed to obtain the position and operation where the seller clicks, and it is determined that the clicked surface is the surface numbered 7 in the box base model. Then, the surface numbered 7 is the click surface.

[0054] S22. Retrieve the transparent layer corresponding to the click surface and overlay it above the click surface, and obtain the user's planning action based on the transparent layer, and identify the planning trace for the planning action.

[0055] Among them, the planning action represents the operation data of the user's drawing on the transparent layer, and the user represents the seller.

[0056] Specifically, according to the determined click surface, the corresponding transparent layer is retrieved and superimposed above the click surface. The seller can draw on the transparent layer, and when the seller is drawing, the drawing path of the user is obtained in real time, and this drawing path is the planning trace.

[0057] S23. Determine the planning area corresponding to the click surface according to the planning trace, where the planning area includes an internal planning area and / or an external planning area.

[0058] Among them, the internal planning area is the enclosed area surrounded by the planning traces on the inner surface; the external planning area is the enclosed area surrounded by the planning traces on the outer surface.

[0059] S24. Based on the internal planning area and / or the external planning area, associate the corresponding actual defect image, and obtain a primary evaluation model and send it to the detection end.

[0060] It should be noted that a communication connection is established between the server and the detection end, and data, messages and responses can be transmitted between the two. The server can receive the refrigeration detection requirements sent by the detection end, obtain the primary evaluation model and send it to the detection end.

[0061] In some embodiments, step S24 (based on the internal planning area and / or the external planning area, associate the corresponding actual defect image, and obtain a primary evaluation model and send it to the detection end) specifically includes steps S241 - S247:

[0062] S241. Respond to the one-by-one selection information of the internal planning area by the first trading end, and receive the actual defect image and establish an association with the internal planning area.

[0063] Among them, the one-by-one selection information represents the selection order, position, size, shape and other attributes of the selected internal planning area.

[0064] Specifically, when the seller selects a certain internal planning area of the box body basic model through the first trading end, the actual defect corresponding to the internal planning area is photographed through the first trading end, the photographed image is cropped and enlarged, the actual defect image is obtained, and the actual defect image is located in the internal planning area through coordinates for association.

[0065] Example: The box body basic model includes an internal planning area A, an internal planning area B, and an internal planning area C. The locations of the internal planning area A and the internal planning area B are both the 3rd inner surface, and the location of the internal planning area C is the 4th inner surface. First, it is recognized that the seller selects the internal planning area B of the box body basic model through the first trading terminal. At this time, the camera of the first trading terminal is called to receive the photographed image of the actual defect corresponding to the internal planning area B on the 3rd inner surface of the semi-high container for sale by the seller; subsequently, it is recognized that the seller selects the internal planning area A, the camera of the first trading terminal is called, and the photographed image of the actual defect corresponding to the internal planning area A on the 3rd inner surface of the semi-high container for sale by the seller is received; finally, it is recognized that the seller selects the internal planning area C, the camera of the first trading terminal is called, and the photographed image of the actual defect corresponding to the internal planning area C on the 4th inner surface of the semi-high container for sale by the seller is received.

[0066] S242. In response to any selection information of the first trading terminal for the external planning area, obtain the clicked surface corresponding to the external planning area as the first clicked surface, and count all the external planning areas on the first clicked surface as associated planning areas.

[0067] Among them, the any selection information refers to the attributes such as the area position, size, and shape of the corresponding external planning area when the seller selects any one of the external planning areas of the box body basic model through the first trading terminal; the associated planning area refers to the external planning area that needs to be associated and processed later.

[0068] Specifically, determine the clicked surface where the selected external planning area is located according to the area position of the selected external planning area, use this clicked surface as the first clicked surface, identify all the external planning areas on the first clicked surface, and regard these external planning areas as associated planning areas.

[0069] Example: The box body basic model includes an external planning area D, an external planning area E, and an external planning area F. The locations of the above 3 external planning areas are all the 7th outer surface. When it is recognized that the seller selects any one of the external planning area D, the external planning area E, and the external planning area F of the box body basic model through the first trading terminal, such as selecting the external planning area E, the 7th outer surface is the first clicked surface. The camera of the first trading terminal is called to receive the photographed image of the 7th outer surface of the semi-high container for sale by the seller, and the external planning area D, the external planning area E, and the external planning area F are all regarded as associated planning areas.

[0070] S243. Perform coordinate processing on the first clicked surface based on the center point of the first clicked surface to obtain multiple first coordinate sets corresponding to the associated planning areas.

[0071] Among them, the center point represents the central position of the first click surface, which is the intersection position of the two diagonals in the first click surface; the first coordinate set represents the set of coordinate values of all points in the associated planning area.

[0072] Specifically, first, obtain the intersection position of the two diagonals in the first click surface, use this intersection position as the center point of the first click surface, establish a coordinate system with the center point as the origin, convert the positions of all points in the first click surface into numerical representations, that is, each point in the first click surface has a unique coordinate value, and respectively obtain the set of coordinate values of all points in each associated planning area. The set of coordinate values of all points corresponding to each associated planning area is used as the first coordinate set. The method of establishing a coordinate system is well-known to those skilled in the art and will not be elaborated here.

[0073] Example: The 7th outer surface of the box foundation model is the first click surface. The 7th outer surface includes the external planning area D, the external planning area E, and the external planning area F. Obtain the intersection position of the two diagonals in the 7th outer surface, use this intersection position as the center point of the 7th outer surface, establish a coordinate system with this center point as the origin, that is, the coordinate value of the center point is (0, 0), convert the positions of all points in the 7th outer surface into numerical representations, and respectively obtain the set of coordinate values of all points in the external planning area D, the external planning area E, and the external planning area F. The set of coordinate values of all points in the external planning area D is used as a first coordinate set, the set of coordinate values of all points in the external planning area E is used as a first coordinate set, and the set of coordinate values of all points in the external planning area F is used as a first coordinate set. A total of 3 first coordinate sets are obtained.

[0074] S244. Receive the external side image corresponding to the click surface uploaded by the first trading end, obtain the box edge in the external side image, and intercept the external side image according to the box edge to obtain the box side image.

[0075] Among them, the external side image, that is, the outer surface image, represents the image of the external side of the semi-high container for sale; the box edge represents the contour line of the external side of the semi-high container for sale; the box side image represents the part corresponding to the box side in the external side image.

[0076] It should be noted that the external side image is the original image taken, which contains background information irrelevant to the box side. Therefore, it is necessary to process the external side image to remove the irrelevant background information and only retain the part of the image corresponding to the box side.

[0077] S245. Adjust the size of the box side image according to the preset size corresponding to the first click surface to obtain a standard image.

[0078] Among them, the preset size represents a pre-set reference size, including but not limited to information such as width and height; the standard image represents the side image of the box after transformation or adjustment, and its size and proportion conform to the pre-set reference size.

[0079] Specifically, the original side image of the box is transformed such as scaled and stretched according to the pre-set reference size to achieve size adjustment so that it conforms to the pre-set reference size, which may include modifying the width, height or aspect ratio of the image, etc.

[0080] It should be noted that adjusting the size of the side image of the box can make the side image of the box have the same size and proportion as the first click surface of the box base model, ensuring the consistency and comparability between different images.

[0081] S246. Coordinate the standard image based on the center point of the standard image, and determine the corresponding coordinate sets in the standard image according to the first coordinate sets to obtain multiple second coordinate sets.

[0082] Among them, the center point represents the intersection position of the two diagonals in the standard image. This intersection position is used as the center point of the standard image. A coordinate system is established with the center point as the origin, and the positions of all points in the standard image are converted into numerical representations, that is, each point in the standard image has a unique coordinate value. The coordinate values of each point in each first coordinate set are positioned to the standard image respectively to obtain the coordinate value sets corresponding to each first coordinate set, and each corresponding coordinate value set is used as a second coordinate set. The method of establishing a coordinate system is well-known to those skilled in the art and will not be elaborated here.

[0083] Example: The 7th outer surface of the box base model is the first click surface, and the external planning areas D, E, and F outside the 7th outer surface respectively correspond to a first coordinate set. The coordinate values of each point in the first coordinate set corresponding to the external planning area D are positioned to the standard image to obtain the second coordinate set corresponding to the external planning area D; the coordinate values of each point in the first coordinate set corresponding to the external planning area E are positioned to the standard image to obtain the second coordinate set corresponding to the external planning area E; the coordinate values of each point in the first coordinate set corresponding to the external planning area F are positioned to the standard image to obtain the second coordinate set corresponding to the external planning area F.

[0084] S247. Batch intercept the corresponding areas in the standard image according to the second coordinate sets as actual defect images, and associate the actual defect images with the corresponding external planning areas one by one to obtain a primary evaluation model and send it to the detection end.

[0085] Among them, batch cropping means extracting multiple regions of interest from a standard image at one time and automatically. These regions of interest are the corresponding regions, that is, the actual defect images. Each corresponding region shows different appearance defects, such as protrusions, depressions, scratches, etc.

[0086] According to the second coordinate set, it can be determined which regions of the standard image are related to the external planning region. Crop and magnify these corresponding regions and establish an association with the external planning region. The user can view the corresponding actual defect image by clicking on the external planning region.

[0087] In the embodiment of the present application, according to the external planning region information selected by the first trading end, the corresponding click surface can be obtained and used as the first click surface. Count all the external planning regions of the first click surface as the associated planning regions. Through coordinate processing and size adjustment, process the external side image corresponding to the associated planning region to obtain a standard image. Based on the center point of the standard image, perform coordinate processing to determine the corresponding coordinate set. Batch crop the corresponding regions in the standard image according to the second coordinate set as the actual defect images. Associate the actual defect images obtained by batch processing with the external planning regions one by one, so as to obtain a primary evaluation model. In the embodiment of the present invention, by batch cropping the corresponding regions in the standard image as the actual defect images and associating the actual defect images obtained by batch processing with the external planning regions one by one, the update speed of the external appearance data in the box foundation model is improved, and thus a primary evaluation model can be quickly obtained.

[0088] Step S3: According to the refrigeration detection requirements of the detection end, divide the primary evaluation model based on the box endpoints to obtain a multi-level function display space, and obtain a multi-level function to perform customized update on the multi-level function display space to obtain a secondary evaluation model.

[0089] Among them, the refrigeration detection requirements refer to the request of third-party staff to trigger a request for refrigeration performance detection of the semi-high container for sale through the detection end; the box endpoints refer to all vertices of the semi-high container for sale, and the number thereof can be specifically 8; the multi-level function display space refers to the visual area that describes the refrigeration performance with functions; the multi-level function refers to the changing trend of the test temperature over time; the secondary evaluation model refers to the box foundation model that incorporates appearance defect data and refrigeration performance test data.

[0090] In some embodiments, (According to the refrigeration detection requirements of the detection end, divide the primary evaluation model based on the box endpoints to obtain a multi-level function display space, and obtain a multi-level function to perform customized update on the multi-level function display space to obtain a secondary evaluation model) in step S3 specifically includes steps S31 - S33:

[0091] S31. According to the refrigeration monitoring requirements of the detection end, obtain the sensor layout information uploaded by the detection end, determine the corner points of the box at the corresponding positions as display end points based on the sensor layout information, and construct a first-order function display space at the positions of the first-order evaluation model corresponding to the display end points.

[0092] Among them, the sensor layout information represents the specific position information of all temperature sensors on the semi-high container for sale; the corner points of the box represent the 8 vertices of the semi-high container for sale; the display end points represent specific position points for constructing a multi-order function display space; the first-order function display space refers to the visualization area generated by the function describing the fluctuation of the vertex temperature over time.

[0093] Specifically, please refer to Figure 3 , Figure 3 which is a schematic diagram of generating a first-order function display space and a second-order function display space provided by an embodiment of the present application. To implement the refrigeration performance test on the semi-high container for sale, a temperature sensor can be set at each of the 8 vertices of the semi-high container for sale, a total of 8 temperature sensors, specifically, they can be patch temperature sensors. The installation of the temperature sensors can be completed by third-party staff. When the third-party staff conducts the refrigeration performance test on the semi-high container for sale, the patch temperature sensors are pre-attached to the 8 vertices of the semi-high container for sale and removed in time after the test is completed.

[0094] S32. Determine the middle position in the length direction of the first-order evaluation model, and generate a second-order function display space by expanding the space to both sides based on the middle position. The multi-order function display space includes a first-order function display space and a second-order function display space.

[0095] Among them, the middle position in the length direction represents the model center point of the first-order evaluation model; the second-order function display space refers to the visualization area generated by the function describing the fluctuation of the average temperature of the end points over the test time.

[0096] S33. Obtain the first-order functions corresponding to the display end points to update the first-order function display space, obtain the corresponding second-order function according to the summary information of the multiple first-order functions, and update the second-order function display space based on the second-order function to obtain a second-order evaluation model.

[0097] Among them, the first-order function represents the function of the end point temperature fluctuating over the test time; the second-order function represents the function of the average temperature of the end points fluctuating over the test time, and the second-order evaluation model represents the first-order evaluation model after the first-order function display space and the second-order function display space are updated.

[0098] In some embodiments, step S33 (obtaining the first-level function corresponding to the display endpoint to update the first-level function display space, obtaining the corresponding second-level function according to the summary information of multiple first-level functions, and updating the second-level function display space based on the second-level function to obtain the secondary evaluation model) specifically includes steps S331 - S332:

[0099] S331. Receive the temperature fluctuation data acquired by each sensor, generate the first-level function corresponding to each display endpoint based on the temperature fluctuation data, and update the corresponding first-level function display space according to the first-level function.

[0100] Among them, the temperature fluctuation data represents the change data of the endpoint temperature acquired by each temperature sensor over the test time.

[0101] Specifically, receive the endpoint temperature acquired by the temperature sensor at each test time, obtain the correspondence between the test time and the endpoint temperature. Taking the display endpoint as the origin, according to the correspondence between the test time and the endpoint temperature, use the test time as the horizontal axis value and the endpoint temperature as the vertical axis value to establish a linear function, so as to update the first-level function display space corresponding to each display endpoint.

[0102] S332. Based on the moments of each first-level function, perform temperature averaging processing on multiple first-level functions to obtain the summary information corresponding to each moment, generate the corresponding second-level function according to the summary information, and update the second-level function display space based on the second-level function to obtain the secondary evaluation model.

[0103] Among them, the summary information represents the temperatures acquired by multiple temperature sensors.

[0104] Specifically, calculate the average value of the multiple endpoint temperatures acquired at the same test time, and the obtained temperature is the endpoint average temperature corresponding to this test time. Obtain the endpoint average temperature corresponding to each test time, obtain the correspondence between the test time and the endpoint average temperature. Taking the middle position as the origin, the test time point as the horizontal axis value, and the endpoint average temperature as the vertical axis value to establish a second-level function. Realize the update of the second-level function display space corresponding to the middle position.

[0105] In the embodiment of the present application, according to the refrigeration monitoring requirements of the detection end, the present invention obtains the sensor layout information uploaded by the detection end, determines the corner points of the box body at the corresponding positions as the display end points based on the sensor layout information, constructs a first-order function display space at the positions corresponding to the display end points of the first-order evaluation model, determines the middle position in the length direction of the first-order evaluation model, and generates a second-order function display space by expanding the space to both sides based on the middle position. The multi-order function display space includes the first-order function display space and the second-order function display space. The present invention obtains the first-order function corresponding to the display end point to update the first-order function display space, obtains the corresponding second-order function according to the summary information of multiple first-order functions, and updates the second-order function display space based on the second-order function to obtain a secondary evaluation model. The present invention realizes the update of the refrigeration effect in the first-order evaluation model by generating the first-order function display space to display the functions corresponding to each display end point, and generating the second-order function display space to display the second-order function obtained from the summary information of the first-order functions, so that users can clearly see the refrigeration effect of the semi-high container for sale when viewing the model.

[0106] The trading method of the semi-high container further includes:

[0107] Obtain the spatial model parameters of the first-order function display space and the second-order function display space, and determine the spatial center points of the first-order function display space and the second-order function display space.

[0108] Wherein, the spatial model parameters represent the interval values corresponding to the x-axis, y-axis, and z-axis in the first-order function display space and the second-order function display space; the spatial center point represents the central position of the space.

[0109] It should be noted that both the first-order function display space and the second-order function display space are three-dimensional spaces, including the x-axis, y-axis, and z-axis. For the first-order function display space and the second-order function display space, the interval values in the x-axis, y-axis, and z-axis directions are respectively obtained. Based on the interval values, the midpoint values in the x-axis, y-axis, and z-axis directions can be respectively obtained, and the midpoint values in the x-axis, y-axis, and z-axis directions are combined to form the coordinates of the spatial center point. For example, the midpoint value of the x-axis is (the minimum value of the interval value + the maximum value of the interval value) / 2 in the x-axis direction.

[0110] Establish corresponding spatial initial display surfaces with the spatial center point as the center and the extreme values of the spatial model parameters as the boundaries. The spatial initial display surfaces include a first spatial surface and a second spatial surface that are perpendicular to each other.

[0111] Among them, the extreme values represent the maximum and minimum values of the interval values in the x-axis, y-axis, and z-axis directions, and the initial spatial display surface represents the central surface of each display space (primary function display space, secondary function display space); the first spatial surface represents the display surface in the horizontal direction; the second spatial surface represents the display surface in the vertical direction.

[0112] It should be noted that the initial display surface is constructed with the spatial center point as the center. The extreme values of the spatial model parameters determine the range of the display surface in the horizontal and vertical directions. The initial spatial display surface established with the spatial center point as the center and the extreme values of the spatial model parameters as the boundaries includes the mutually perpendicular first spatial surface and the second spatial surface, and the first spatial surface and the second spatial surface can be called when the function needs to be displayed.

[0113] Select the first spatial surface or the second spatial surface according to the user's interaction perspective, and adjust the angle of the first spatial surface or the second spatial surface, and add the corresponding primary function or secondary function to the selected and adjusted first spatial surface or second spatial surface.

[0114] Among them, the interaction perspective represents the angle and perspective taken by the user when viewing the evaluation model.

[0115] Although the function and the evaluation model are in a separate state, the function can be loaded onto the corresponding spatial surface for display. When the user views the evaluation model, they can see the function image associated with it, which can more intuitively understand the data changes in the evaluation model, and can dynamically adjust the display of the function to ensure that it is synchronized with the changes in the evaluation model. The spatial surface for displaying the function image is always consistent with the user's interaction angle, that is, the spatial surface for displaying the function image is always facing the user directly.

[0116] Obtain the browsing data of each user for the primary function display space and the secondary function display space to generate customized data. After determining that the user selects to view a new box, generate a customized browsing video for the new box based on the customized data, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video.

[0117] Among them, the browsing data represents the data records generated when the user views the evaluation model; the customized data represents the personalized needs and preference data of the user obtained according to the browsing data; the customized browsing video represents the personalized video content generated according to the customized data, and these videos usually contain information about the semi-high containers for sale that the user is most interested in.

[0118] The demands of different users for semi-high containers vary due to factors such as the industries they are in, the types of goods, and the transportation methods. Therefore, the data generated when browsing information related to semi-high containers for sale will also differ. Based on these different browsing data, personalized information such as user preferences, demands, and habits can be obtained, and then customized data can be generated. Based on these customized data, personalized video content is created to meet the personalized needs of different users.

[0119] Specifically, select the first spatial plane or the second spatial plane according to the user's interaction perspective, adjust the angle of the first spatial plane or the second spatial plane, and add the corresponding first-level function or second-level function to the selected and adjusted first spatial plane or second spatial plane. The specific steps are as follows:

[0120] Determine the user's initial interaction perspective, and based on the interaction perspective, determine one of the first spatial plane or the second spatial plane. Each direction of the interaction perspective has a preset first spatial plane or second spatial plane.

[0121] Among them, the initial interaction perspective represents the angle and perspective taken by the user when first viewing the evaluation model.

[0122] It should be noted that when the user views the evaluation model, it may be a frontal view, a top view, or other angles. The content viewed from different angles is different. According to the perspective and operation position of the user, it can be judged which spatial plane in the first spatial plane or the second spatial plane is convenient for display and angle adjustment. The determined spatial plane is the selected spatial plane, that is, the spatial plane on which the function will be displayed. Each direction of the interaction perspective has a preset first spatial plane or second spatial plane, indicating that no matter what the user's interaction perspective is, there is a corresponding spatial plane that can be determined and selected.

[0123] Display the first-level functions and second-level functions of each first-level function display space and second-level function display space on the corresponding first spatial plane or second spatial plane respectively.

[0124] That is, display the corresponding functions in each first-level function display space and second-level function display space on the corresponding first spatial plane or second spatial plane respectively.

[0125] If it is judged that the corresponding user makes an angle adjustment, then no longer display the first-level functions and second-level functions, and perform an accompanying angle adjustment on the first spatial plane or the second spatial plane based on the value of the angle adjustment. After the angle adjustment, display the first-level functions and second-level functions again.

[0126] Among them, the angle adjustment refers to adjusting the display perspective of the spatial plane. The value of the angle adjustment is usually determined according to the operations of user interaction. When the user makes an angle adjustment, the corresponding operations are captured, such as dragging the mouse, swiping the touch screen, etc. These operations will generate a value indicating the amount of angle change of the user in the horizontal and vertical directions, and this angle change amount is the value of the angle adjustment; performing the accompanying angle adjustment means that when the user changes the interaction angle, the system will automatically adjust the display mode of the function image to keep it consistent with the user's current interaction perspective.

[0127] Specifically, when the user views the evaluation model, the interaction actions of the user are obtained. According to the interaction actions, it is judged whether the corresponding user needs to adjust the display angle. If the display angle needs to be adjusted, the display of the primary function and the secondary function is temporarily stopped. The amount of angle change is determined according to the interaction actions, and the selected spatial plane is rotated around the spatial center point according to the amount of angle change to change its display angle in the display space until the user is facing the spatial plane directly, and the corresponding primary function or secondary function is added to the selected and adjusted first spatial plane or second spatial plane.

[0128] After it is judged that the angle adjustment reaches the threshold, the first spatial plane or the second spatial plane is switched, and the corresponding primary function or secondary function is added to the selected and adjusted first spatial plane or second spatial plane.

[0129] Among them, the threshold represents the critical point reached by the degree of the user changing the display angle.

[0130] Specifically, if it is judged that the angle adjustment reaches the threshold, the system will switch to another spatial plane to display the corresponding function image at a new angle.

[0131] In this embodiment, although the function and the evaluation model are in a separated state, the function can be loaded and displayed on the corresponding spatial plane, and the display angle of the function can be dynamically adjusted along with the operation of the evaluation model, enabling the user to more easily and intuitively view the change trend of the function in the display space.

[0132] In some embodiments, the browsing data of each user for the primary function display space and the secondary function display space is obtained to generate customized data. After it is judged that the user selects to view a new box body, a customized browsing video of the new box body is generated based on the customized data, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video, including:

[0133] Obtain the first spatial plane or the second spatial plane corresponding to the primary function display space and the secondary function display space of each box body that each user has viewed in the historical quantity, and obtain the staying time of each first spatial plane or second spatial plane.

[0134] Among them, the viewed historical quantity represents the quantity of semi-high containers for sale viewed by the user within a past period of time, which can be selected according to actual circumstances; the staying time represents the time length that the user stays on each first spatial surface or second spatial surface when viewing the container body.

[0135] Specifically, the browsing data records the containers with the viewed historical quantity of each user, and the first spatial surface or second spatial surface of the first-level function display space and the second-level function display space corresponding to each container can be obtained, so as to obtain the staying time of the user on each first spatial surface or second spatial surface.

[0136] Example: A certain user has viewed 100 containers historically. When processing, the data volume is large. 10 containers viewed recently can be obtained for analysis, and the viewed historical quantity is 10. Obtain the first spatial surface and the second spatial surface corresponding to the first-level function display space and the second-level function display space corresponding to these 10 containers, judge which spatial surfaces the user has browsed among these 10 containers, and obtain the time that the user stays on each browsed space.

[0137] Obtain the order of the first spatial surface or the second spatial surface corresponding to each container in the viewing history of each user, and generate a corresponding order angle node path based on the order and angle of the first spatial surface or the second spatial surface.

[0138] Among them, the viewing history includes the containers browsed by the user before; the order represents the order in which the user views different spatial surfaces or adjusts the angle, that is, the order of each view or the angle adjusted by the user in turn during the browsing process; the order angle node path represents the path obtained by associating each spatial surface or angle passed by the user during the viewing process.

[0139] It should be noted that based on the viewing history of the user, the browsing order of the user when viewing different spatial surfaces (such as the front view, side view, and top view) of each container is obtained. For each spatial surface, the user may view it at different angles, such as switching from the front view to the side view or the top view, and may adjust the angle during the viewing process. The system generates a corresponding order angle node path based on the viewing order and angle adjustment record of the user to reflect the browsing behavior of the user.

[0140] Sort the containers based on the viewing time of each container with the historical quantity, generate a staying weight for each staying time based on the sorting, each order has a preset staying weight, and the viewing time corresponding to the staying weight gradually increases from far to near.

[0141] Among them, the viewing time represents the specific time point when the user views each box; the staying weight represents the weight value generated for each box to measure the degree of attention; for different viewing orders, corresponding staying weights are preset in advance.

[0142] Specifically, the specific time points when the user views each box are sorted in the order from far to near or from near to far. After sorting, the corresponding staying weight can be determined according to the sorting order. The closer the specific time point of viewing the box is, the greater the staying weight. For example, for the box viewed by the user today, its staying weight is greater than that of the box viewed yesterday.

[0143] Based on the sequential angle node path, staying time, and staying weight, corresponding automatic data extraction is performed on the new box to generate a customized browsing video of the new box.

[0144] By performing operations such as parsing, screening, converting, and processing the data, relevant parameters and information required for generating a customized browsing video are obtained, and a customized browsing video of the new box is generated based on this information.

[0145] In some embodiments, the corresponding automatic data extraction is performed on the new box based on the sequential angle node path and staying time to generate a customized browsing video of the new box, which specifically includes the following steps:

[0146] Obtain the number of sequential angle nodes in the sequential angle node path, and generate a corresponding staying time offset value based on the comparison of the number with a preset number.

[0147] Among them, the preset number is a reference value pre-set for comparing and calculating with the number of sequential angle nodes; the staying time offset value represents the adjustment amount of the staying time of each sequential angle node determined according to the comparison result of the number of sequential angle nodes and the preset number.

[0148] It should be noted that the number of sequential angle nodes determines the number of angles shown by the evaluation model when generating a customized browsing video. If the number of sequential angle nodes is large, it means that the evaluation model will show the box at more angles. Therefore, the staying time for each angle will be correspondingly reduced to ensure that the length of the entire customized video is appropriate and not too long, so that the user can quickly understand the situation of each angle within a limited time. On the contrary, if the number of sequential angle nodes is small, it means that the evaluation model will more concentratedly show several important faces of each box, so that the staying time for each face can be relatively long, allowing the user to have more time to carefully observe the details of each face, thereby more deeply understanding the characteristics and status of the box.

[0149] Perform dwell time offset processing based on the dwell time offset value to obtain the browsing sub-time of each sequential angle node in the sequential angle node path.

[0150] Among them, the browsing sub-time represents the browsing time corresponding to each angle when browsing a certain surface. Example: The browsing time corresponding to viewing the front view of nearly 10 boxes, and the browsing time corresponding to viewing the front view of nearly 10 boxes with a 30-degree offset.

[0151] Calculate the browsing sub-time of each sequential angle node through the following formula:

[0152] ,

[0153] Among them, is the browsing sub-time of the th first spatial surface or second spatial surface at the th angle, is the dwell time of the box viewed historically on the th first spatial surface or second spatial surface at the th angle, is the dwell weight of the box viewed historically on the th first spatial surface or second spatial surface at the th angle, is the upper limit value of the box viewed historically, is the quantity value of the box viewed historically, is a constant value, is the quantity of the sequential angle node path, is a preset quantity, is the quantity weight value.

[0154] S4. Invoke the comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjust the basic value of the box according to the evaluation coefficient to obtain the recommended value of the box, and update the secondary evaluation model based on the recommended value of the box to obtain a comprehensive recommendation model.

[0155] Among them, the comprehensive evaluation model represents a model that comprehensively considers multiple factors. The multiple factors can specifically be the appearance defect situation and the refrigeration performance; the evaluation coefficient represents a set of values in the evaluation process, used to represent the importance degree of a certain attribute or feature; the recommended value of the box is the estimated price obtained by reducing the basic value of the box according to the refrigeration performance and appearance defects; the comprehensive recommendation model is a combined model that integrates the evaluation methods of appearance defects and refrigeration effects, used to comprehensively consider the appearance defects and refrigeration effects of the semi-high container for sale, provide recommended data for users, and assist users in formulating transaction data.

[0156] In some embodiments, (retrieving a comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, and adjusting the basic value of the box according to the evaluation coefficient to obtain the recommended value of the box) in step S4 specifically includes steps S41 - S44:

[0157] S41. Retrieve the comprehensive evaluation model to obtain the starting data and ending data of the fluctuation of the first - order function. Determine the test fluctuation slope according to the starting data and ending data of the fluctuation, and obtain the test fluctuation limit according to the ending data of the fluctuation.

[0158] Among them, the starting data of the fluctuation represents the position coordinates corresponding to the starting point of the curve in the first - order function image; the ending data of the fluctuation represents the position coordinates corresponding to the ending point of the curve in the first - order function image; the test fluctuation slope represents the rate or trend of temperature change during the fluctuation, reflecting the refrigeration speed of the semi - height container for sale; the vertical axis value in the position coordinates corresponding to the ending point of the curve in the first - order function image is the test fluctuation limit, and the test fluctuation limit represents the lowest temperature that the semi - height container for sale can reach during the refrigeration performance test.

[0159] Example: Please refer to Figure 4 , Figure 4 which is a schematic diagram of a first - order function provided by an embodiment of the present application. O is the coordinate origin, the abscissa x represents time, and the unit can specifically be minutes (min), and the ordinate y represents the endpoint temperature, and the unit can specifically be degrees Celsius (°C). Point A is the starting point of the curve in the first - order function image, that is, the position coordinates of point A are the starting data of the fluctuation, point B is the ending point of the curve in the first - order function, that is, the position coordinates of point B are the ending data of the fluctuation, and the slope of the straight line connecting point A and point B is the test fluctuation slope, and the vertical axis value - 30°C corresponding to point B is the test fluctuation limit.

[0160] S42. Obtain the first - order preset function corresponding to the first - order function, and determine the standard fluctuation slope according to the starting data and ending data of the first - order preset function.

[0161] Among them, the first - order preset function represents the ideal expected function of the temperature change of the semi - height container for sale over time, and can specifically be obtained based on the factory test data; the starting data of the fluctuation corresponding to the first - order preset function is the starting point of the curve in the function image, and the ending data of the fluctuation corresponding to the first - order function represents the ending point of the curve in the function image; the standard fluctuation slope represents the standard refrigeration speed of the temperature change over time.

[0162] S43. When the test fluctuation limit reaches the preset standard fluctuation limit, obtain the ratio information of the test fluctuation slope and the standard fluctuation slope, and obtain the effect evaluation coefficient according to the ratio information.

[0163] Among them, the standard fluctuation limit is the lowest temperature that can be reached during the refrigeration performance test of the semi-high container for sale when it leaves the factory; the ratio information represents the relative relationship between the test fluctuation slope and the standard fluctuation slope, reflecting the difference between the test fluctuation slope and the standard fluctuation slope; the effect evaluation coefficient reflects the degree of conformity between the actual temperature fluctuation and the expected fluctuation.

[0164] Specifically, obtain the vertical axis value in the position coordinates corresponding to the end point of the curve in the first-level preset function image as the preset standard fluctuation limit. When the test fluctuation limit does not reach the preset standard fluctuation limit, it indicates that the refrigeration performance of the semi-high container for sale has decreased significantly compared to when it left the factory, and a higher effect evaluation coefficient will be given. When the test fluctuation limit reaches the preset standard fluctuation limit, it means that the lowest refrigeration temperature of the semi-high container for sale during the test can reach the lowest refrigeration temperature when it left the factory. At this time, it is necessary to compare the refrigeration speeds, so obtain the ratio information of the test fluctuation slope and the standard fluctuation slope, and obtain the effect evaluation coefficient according to the ratio information.

[0165] S44. Calculate the basic value of the box based on the effect evaluation coefficient to obtain a first-level effect reduction associated with the first-level function. Obtain a second-level effect reduction based on the sum of multiple first-level effect reductions, and associate the second-level effect reduction with the second-level function.

[0166] Among them, the first-level effect reduction represents the price reduction adjustment of the basic value of the box of the semi-high container for sale according to the effect evaluation coefficient, and the second-level effect reduction represents the comprehensive price reduction adjustment obtained by comprehensively considering the price reduction adjustments corresponding to multiple first-level effect reductions.

[0167] Example: Calculate the basic value of the box based on the effect evaluation coefficients of each display end point, and obtain a first-level effect reduction associated with the first-level function of 500 yuan. Among the 8 display end points, 2 display end points have a first-level effect reduction of 200 yuan, and 1 display end point has a first-level effect reduction of 500 yuan. Then the second-level effect reduction is 900 yuan. Associate the second-level effect reduction with the second-level function, and when the user views the secondary evaluation model, they can view the data corresponding to the second-level effect reduction.

[0168] In some embodiments, step S4 (retrieving the comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, and adjusting the basic value of the box according to the evaluation coefficient to obtain the recommended value of the box) specifically includes steps S45 - S48:

[0169] S45. Retrieve the comprehensive evaluation model to analyze the type of the actual defect image and obtain the defect type of the actual defect image.

[0170] Retrieve the comprehensive evaluation model to analyze the type of the actual defect image, and the defect type can be obtained. The defect type includes protrusions, depressions, scratches, etc.

[0171] S46. Extract the defect contour in the actual defect image, obtain the defect area of the defect contour, and obtain the defect evaluation coefficient according to the ratio of the defect area to the area normalization value.

[0172] Among them, the defect contour represents the boundary line of the defect area in the actual defect image; the defect area represents the total area of the area surrounded by the defect contour, usually expressed in pixels or other appropriate units; the area normalization value represents the data required for normalizing the obtained defect area; the ratio of the defect area to the area normalization value is the value obtained after normalizing the defect area; the defect evaluation coefficient represents an index for evaluating the severity of appearance defects.

[0173] S47. Retrieve the preset correspondence table corresponding to the defect type, determine the defect reduction corresponding to the defect evaluation coefficient according to the preset correspondence table, and associate the defect reduction with the planning area one by one. The preset correspondence table includes the corresponding relationship between the coefficient interval and the defect reduction.

[0174] Among them, the preset correspondence table represents a pre-set comparison table describing the corresponding relationship between the coefficient interval and the defect reduction; the defect reduction represents the price reduction adjustment determined according to the severity of the appearance defect.

[0175] Associate the defect reduction with the planning area one by one, so that when the user views the comprehensive recommendation model, they can see how much the price is reduced for each planning area.

[0176] Example: The location of the internal planning area C is the 4th inner surface, and the 7th outer surface includes the external planning areas D, E, and F. When the user clicks on the 4th inner surface, the internal planning area C is highlighted and prompted with "protrusion, price reduction of 200 yuan". When the user clicks on the 7th outer surface, the external planning areas D, E, and F are highlighted. When clicking on the external planning area D, it is prompted with "protrusion, price reduction of 300 yuan". When clicking on the external planning area E, it is prompted with "depression, price reduction of 200 yuan". When clicking on the external planning area F, it is prompted with "scratch, price reduction of 100 yuan".

[0177] S48. Obtain the total defect reduction according to the sum of each defect reduction, and perform a reduction adjustment on the basic value of the box based on the secondary effect reduction and the total defect reduction to obtain the recommended value of the box.

[0178] Among them, the total defect reduction represents the sum of the defect reductions corresponding to each planned area; the recommended value of the container represents the recommended price obtained after evaluating the appearance defects and refrigeration effect of the semi-high container to be sold.

[0179] In the embodiment of the present invention, the basic container model and the basic value of the semi-high container to be sold can be determined according to the basic container features uploaded by the user. The appearance data of the basic container model is updated to obtain a primary evaluation model, and then the data corresponding to the refrigeration effect of the primary evaluation model is updated to obtain a secondary evaluation model. Finally, the secondary evaluation model is evaluated to obtain an evaluation coefficient, and the basic value of the container is adjusted based on the evaluation coefficient to obtain the recommended value of the container. The secondary evaluation model is updated based on the recommended value of the container to obtain a comprehensive recommendation model. The embodiment of the present invention automatically analyzes the data of the semi-high container uploaded by the user, thereby generating recommendation data, and assisting the user to formulate transaction data based on the recommendation data.

[0180] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of a trading system for semi-high containers provided by an embodiment of the present application. The system includes:

[0181] A feature acquisition module, configured to respond to a resale transaction instruction, receive the basic container features uploaded by the first trading end, and retrieve the basic container model and the basic value of the container according to the basic container features and send them to the first trading end.

[0182] A region association module, configured to receive the planning traces of the basic container model from the first trading end based on a transparent layer, determine the planned area according to the planning traces, and associate the actual defect images based on the planned area to obtain a primary evaluation model and send it to the detection end.

[0183] A customization update module, configured to divide the primary evaluation model based on the container endpoints according to the refrigeration detection requirements of the detection end to obtain a multi-level function display space, and obtain a multi-level function to perform customization update on the multi-level function display space to obtain a secondary evaluation model.

[0184] A model generation module, configured to retrieve a comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjust the basic value of the container according to the evaluation coefficient to obtain the recommended value of the container, and update the secondary evaluation model based on the recommended value of the container to obtain a comprehensive recommendation model.

[0185] It should be noted that the above-mentioned trading system for semi-high containers can execute the trading method for semi-high containers provided by the embodiment of the present invention. For technical details and beneficial effects not described in detail in the embodiment of the trading system for semi-high containers, reference can be made to the trading method for semi-high containers provided by the embodiment of the present invention.

[0186] Through the description of the above embodiments, those of ordinary skill in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0187] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A transaction method for a half-high container, characterized in that: include: In response to the resale transaction instruction, receiving the basic characteristics of the box uploaded by the first transaction terminal, retrieving the basic model of the box and the basic value of the box according to the basic characteristics of the box, and sending them to the first transaction terminal; Receiving the planning traces of the box basic model by the first transaction end based on the transparent layer, determining the planning area according to the planning traces, and obtaining an evaluation model based on associating the planning area with the actual defect image and sending it to the detection end; According to the refrigeration detection requirements of the detection end, the primary evaluation model is divided based on the cabinet endpoints to obtain a multi-level function display space, and a multi-level function is obtained to customize and update the multi-level function display space to obtain a secondary evaluation model; According to the refrigeration monitoring requirements of the detection end, the sensor layout information uploaded by the detection end is obtained, the cabinet corner point at the corresponding position is determined as the display endpoint based on the sensor layout information, and a first-level function display space is constructed at the position of the first evaluation model corresponding to the display endpoint; Determine the middle position of the primary evaluation model in the length direction, and use the middle position as a reference to perform spatial expansion on both sides to generate a secondary function display space, wherein the multi-level function display space includes a primary function display space and a secondary function display space; Acquire the primary function corresponding to the display endpoint to update the primary function display space, obtain the corresponding secondary function according to the summary information of multiple primary functions, update the secondary function display space based on the secondary function, and obtain a secondary evaluation model; Retrieving a comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjusting the basic value of the box according to the evaluation coefficient to obtain a recommended box value, and updating the secondary evaluation model based on the recommended box value to obtain a comprehensive recommendation model; Retrieving the comprehensive evaluation model to obtain the fluctuation start data and the fluctuation end data of the first-level function, determining the test fluctuation slope according to the fluctuation start data and the fluctuation end data, and obtaining the test fluctuation limit according to the fluctuation end data; Obtaining a first-level preset function corresponding to the first-level function, and determining a standard fluctuation slope according to fluctuation start data and fluctuation end data of the first-level preset function; When the test fluctuation limit reaches a preset standard fluctuation limit, obtaining information on the ratio of the test fluctuation slope to the standard fluctuation slope, and obtaining an effect evaluation coefficient according to the ratio information; The basic value of the box is calculated based on the effect evaluation coefficient to obtain a first-level effect reduction associated with the first-level function, and a second-level effect reduction is obtained according to the sum of multiple first-level effect reductions, and the second-level effect reduction is associated with the second-level function.

2. The transaction method of a semi-high container according to claim 1, characterized in that: The responding to the resale transaction instruction, receiving the basic characteristics of the box uploaded by the first transaction terminal, retrieving the basic model of the box and the basic value of the box according to the basic characteristics of the box and sending them to the first transaction terminal, includes: In response to the resale transaction instruction, calling the attribute entry interface, and acquiring attribute editing data of the half-high container for sale based on the attribute entry interface; Identify the attribute editing data, obtain basic characteristics of the box, and extract resale attribute data according to the basic characteristics of the box, wherein the resale attribute data includes a basic model of the box and a basic value of the box; The box basic model and the box basic value are sent to the first transaction end.

3. The transaction method of a semi-high container according to claim 2, characterized in that: The method of receiving the planning traces of the box basic model by the first transaction end based on the transparent layer, determining the planning area according to the planning traces, and obtaining an evaluation model based on associating the planning area with the actual defect image and sending it to the detection end includes: receiving click information of the first transaction terminal on the box body basic model, the click information including outer side surface click information and / or inner side surface click information, and determining the click surface of the box body basic model according to the click information; Retrieving a transparent layer corresponding to the click surface and superimposing it on the click surface, obtaining a user's planned action based on the transparent layer, and identifying the planned action to obtain a planning trace; Determine a planning area corresponding to the click surface according to the planning trace, wherein the planning area includes an internal planning area and / or an external planning area; Based on the actual defect image corresponding to the internal planning area and / or the external planning area, an evaluation model is obtained and sent to the detection end.

4. The transaction method of a semi-high container according to claim 3 is characterized in that: The step of obtaining an evaluation model based on the actual defect image corresponding to the internal planning area and / or the external planning area and sending the evaluation model to the detection end includes: In response to the first transaction terminal selecting information of the internal planning areas one by one, receiving the actual defect image and establishing association with the internal planning areas; In response to any selected information of the external planning area by the first transaction terminal, obtaining a click surface corresponding to the external planning area as a first click surface, and counting all external planning areas of the first click surface as associated planning areas; Performing coordinate processing on the first click surface based on the center point of the first click surface to obtain a plurality of first coordinate sets corresponding to the associated planning area; Receiving the external side image corresponding to the click surface uploaded by the first transaction terminal, obtaining the box edge in the external side image, and intercepting the external side image according to the box edge to obtain the box side image; Adjust the size of the box side image according to the preset size corresponding to the first click surface to obtain a standard image; Performing coordinate processing on the standard image based on the center point of the standard image, and determining a corresponding coordinate set in the standard image according to the first coordinate set to obtain a plurality of second coordinate sets; According to the second coordinate set, the corresponding areas in the standard image are batch-cut out as actual defect images, the actual defect images are associated with the corresponding external planning areas one by one, and an evaluation model is obtained and sent to the detection end.

5. The transaction method of a semi-high container according to claim 1, characterized in that: Acquire the primary function corresponding to the display endpoint to update the primary function display space, obtain the corresponding secondary function according to the summary information of multiple primary functions, update the secondary function display space based on the secondary function, and obtain the secondary evaluation model, including: receiving temperature fluctuation data acquired by each sensor, generating a primary function corresponding to each display endpoint based on the temperature fluctuation data, and updating the corresponding primary function display space according to the primary function; Taking the moment of each first-level function as a reference, temperature mean processing is performed on multiple first-level functions to obtain summary information corresponding to each moment, and the corresponding second-level function is generated according to the summary information. The second-level function display space is updated based on the second-level function to obtain a secondary evaluation model.

6. The transaction method of a semi-high container according to claim 5, characterized in that: Also includes: Acquire the space model parameters of the primary function display space and the secondary function display space, and determine the space center points of the primary function display space and the secondary function display space; Establishing a corresponding initial spatial display surface based on the spatial center point as the center and the extreme value of the spatial model parameter as the boundary, wherein the initial spatial display surface includes a first spatial surface and a second spatial surface that are perpendicular to each other; Selecting the first spatial surface or the second spatial surface according to the user's interactive perspective, adjusting the angle of the first spatial surface or the second spatial surface, and adding the corresponding primary function or secondary function to the selected and adjusted first spatial surface or the second spatial surface; Obtain each user's browsing data on the primary function display space and the secondary function display space to generate customized data. After determining that the user chooses to view a new box, generate a customized browsing video of the new box based on the customized data, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video.

7. The transaction method of a semi-high container according to claim 6, characterized in that: Interacting with the user to select the first spatial surface or the second spatial surface according to the user's viewing angle, adjusting the angle of the first spatial surface or the second spatial surface, and adding the corresponding primary function or secondary function to the selected and adjusted first spatial surface or the second spatial surface, including: Determine an initial interactive viewing angle of the user, and determine one of a first spatial plane or a second spatial plane based on the interactive viewing angle, wherein the interactive viewing angle in each direction has a preset first spatial plane or a preset second spatial plane; Display the first-level function and the second-level function of each first-level function display space and the second-level function display space on the corresponding first space surface or the second space surface respectively; If it is determined that the corresponding user adjusts the angle, the primary function and the secondary function are no longer displayed, and the first spatial surface or the second spatial surface is adjusted with the angle based on the value of the angle adjustment, and the primary function and the secondary function are displayed again after the angle adjustment; After determining that the angle adjustment reaches a threshold, the first spatial surface or the second spatial surface is switched, and the corresponding primary function or secondary function is added to the selected adjusted first spatial surface or the second spatial surface.

8. The transaction method of a semi-high container according to claim 7, characterized in that: Obtaining each user's browsing data for the primary function display space and the secondary function display space to generate customized data, and after determining that the user chooses to view a new cabinet, generating a customized browsing video of the new cabinet based on the customized data, so that the user can view the primary function display space and the secondary function display space based on the customized browsing video, including: Obtain the first spatial surface or the second spatial surface corresponding to the primary function display space and the secondary function display space of each box of the historical number viewed by each user, and obtain the dwelling time of each first spatial surface or the second spatial surface; Obtaining the order of the first spatial plane or the second spatial plane corresponding to each box in the viewing history of each user, and generating a corresponding sequence angle node path based on the order and angle of the first spatial plane or the second spatial plane; Sorting the boxes based on the viewing time of each box of the historical number, generating a dwelling weight of each dwelling time based on the sorting, each sequence having a preset dwelling weight, and the viewing time corresponding to the dwelling weight gradually increases from far to near; Based on the sequential angle node path, dwell time, and dwell weight, corresponding automatic data extraction is performed on the new box to generate a customized browsing video of the new box.

9. The transaction method of a semi-high container according to claim 8, characterized in that: The step of automatically extracting corresponding data of the new box based on the sequential angle node path and the dwell time to generate a customized browsing video of the new box includes: Acquire the number of sequential angle nodes in the sequential angle node path, and generate a corresponding dwell time offset value based on the comparison between the number and a preset number; The dwell time offset is processed based on the dwell time offset value to obtain the browsing sub-time of each sequential angle node in the sequential angle node path; The browsing time of each sequential angle node is calculated by the following formula, , in, For the The first spatial surface or the second spatial surface is in the Browsing time from each angle, The box viewed for history is in The first spatial surface or the second spatial surface is in the The dwell time at each angle, The box viewed for history is in The first spatial surface or the second spatial surface is in the The stop weight of the angle, The upper limit value of the box viewed in history. The number of boxes viewed in history. is a constant value, is the number of sequential angle node paths, is the preset quantity, is the quantity weight value.

10. The transaction method of a semi-high container according to claim 1, characterized in that: The comprehensive evaluation model is retrieved to evaluate the secondary evaluation model to obtain an evaluation coefficient, and the basic value of the box is adjusted according to the evaluation coefficient to obtain the recommended value of the box, including: The comprehensive evaluation model is retrieved to perform type analysis on the actual defect image to obtain the defect type of the actual defect image; Extracting a defect contour in the actual defect image, obtaining a defect area of ​​the defect contour, and obtaining a defect assessment coefficient according to a ratio of the defect area to an area normalized value; Retrieving a preset corresponding table corresponding to the defect type, determining the defect reduction corresponding to the defect assessment coefficient according to the preset corresponding table, and associating the defect reduction with the planning area one by one, wherein the preset corresponding table includes a correspondence between coefficient intervals and defect reductions; The total defect reduction is obtained according to the sum of the defect reductions, and the basic value of the box is reduced and adjusted based on the secondary effect reduction and the total defect reduction to obtain the recommended value of the box.

11. A trading system for half-high containers, characterized in that: include: A feature acquisition module, used to respond to the resale transaction instruction, receive the basic features of the box uploaded by the first transaction terminal, retrieve the basic model of the box and the basic value of the box according to the basic features of the box, and send them to the first transaction terminal; A region association module, used for receiving the planning traces of the first transaction end for the box basic model based on the transparent layer, determining the planning area according to the planning traces, and obtaining an evaluation model based on the planning area and associating the actual defect image to send to the detection end; A customization and updating module, for dividing the primary evaluation model based on the cabinet endpoints to obtain a multi-level function display space according to the refrigeration detection requirements of the detection end, obtaining a multi-level function to customize and update the multi-level function display space, and obtaining a secondary evaluation model; According to the refrigeration monitoring requirements of the detection end, the sensor layout information uploaded by the detection end is obtained, the cabinet corner point at the corresponding position is determined as the display endpoint based on the sensor layout information, and a first-level function display space is constructed at the position of the first evaluation model corresponding to the display endpoint; Determine the middle position of the primary evaluation model in the length direction, and use the middle position as a reference to perform spatial expansion on both sides to generate a secondary function display space, wherein the multi-level function display space includes a primary function display space and a secondary function display space; Acquire the primary function corresponding to the display endpoint to update the primary function display space, obtain the corresponding secondary function according to the summary information of multiple primary functions, update the secondary function display space based on the secondary function, and obtain a secondary evaluation model; A model generation module is used to call a comprehensive evaluation model to evaluate the secondary evaluation model to obtain an evaluation coefficient, adjust the basic value of the box according to the evaluation coefficient to obtain a recommended box value, and update the secondary evaluation model based on the recommended box value to obtain a comprehensive recommendation model; Retrieving the comprehensive evaluation model to obtain the fluctuation start data and the fluctuation end data of the first-level function, determining the test fluctuation slope according to the fluctuation start data and the fluctuation end data, and obtaining the test fluctuation limit according to the fluctuation end data; Obtaining a first-level preset function corresponding to the first-level function, and determining a standard fluctuation slope according to fluctuation start data and fluctuation end data of the first-level preset function; When the test fluctuation limit reaches a preset standard fluctuation limit, obtaining information on the ratio of the test fluctuation slope to the standard fluctuation slope, and obtaining an effect evaluation coefficient according to the ratio information; The basic value of the box is calculated based on the effect evaluation coefficient to obtain a first-level effect reduction associated with the first-level function, and a second-level effect reduction is obtained according to the sum of multiple first-level effect reductions, and the second-level effect reduction is associated with the second-level function.

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