Cargo data acceptance processing method, device, equipment and storage medium

Abstract

The present invention relates to the technical field of cargo acceptance, and discloses a cargo data acceptance processing method, device, equipment and storage medium. The present invention plans and continuously collects data from a cargo registration area and a stacking area, generates a digital simulation model of the cargo based on the cargo registration data, and then sets the positions of these models in combination with the cargo stacking data to create a cargo stacking simulation model. Finally, by performing a multi-dimensional analysis on the stacking simulation model, a cargo acceptance form displaying various cargo data is generated. Automated data collection and analysis reduces manual intervention and speeds up processing. The multi-dimensional data display provides comprehensive information for management, facilitates cargo acceptance, and solves the problem in the prior art that when multiple cargoes are purchased together, they are stacked together, causing inconvenience to the acceptance work.

Description

Technical Field

[0001] The present invention relates to the technical field of cargo acceptance, and in particular to a cargo data acceptance processing method, device, equipment and storage medium. Background Art

[0002] In some cargo handling scenarios, especially in cargo handling scenarios like catering stores, various types of cargo will be piled together irregularly, which will cause some cargo to be covered by other cargo. When counting the cargo, the cargo needs to be moved again, and omissions or duplications may occur during the counting work, which brings difficulties to the acceptance work. If the acceptance personnel are asked to record each item and then let the delivery personnel move it one by one, the handling efficiency of the handling personnel will be reduced, and the recording work will also be inefficient in the absence of professional recording software. Summary of the invention

[0003] The purpose of the present invention is to provide a method, device, equipment and storage medium for the acceptance processing of goods data, aiming to solve the problem in the prior art that when multiple goods are purchased together, they will be piled up together, causing inconvenience to the acceptance work.

[0004] The present invention is implemented in this way. In a first aspect, the present invention provides a method for processing acceptance of cargo data, comprising:

[0005] Planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area;

[0006] Generate a corresponding digital simulation model of goods according to the goods registration data, and perform position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods to obtain a simulation model of goods accumulation;

[0007] The cargo stacking simulation model is subjected to multi-dimensional analysis and processing to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in a multi-dimensional manner.

[0008] Preferably, the steps of planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area include:

[0009] Determine the cargo stacking area prepared for stacking cargo, and set a stacking data collection device for data collection for the cargo stacking area;

[0010] Determine the cargo registration area to be passed when the cargo is transported to the cargo stacking area, and set a transport data collection device for data collection for the cargo registration area;

[0011] The transport data collection device continuously collects data to obtain cargo registration data of the cargo registration area, and the accumulation data collection device continuously collects data to obtain cargo accumulation data of the cargo accumulation area.

[0012] Preferably, the stacking data acquisition device includes a plurality of image vision acquisition units;

[0013] Each of the image vision acquisition units acquires image vision data from multiple angles of the cargo stacking area, and combines the image vision data from various angles to obtain the cargo stacking data of the cargo stacking area.

[0014] Preferably, the handling data collection device includes a cargo label reading unit and a weight collection unit;

[0015] The cargo label reading unit is used to read cargo labels of cargo passing through the cargo registration area to obtain cargo type information and specification information;

[0016] The weight collection unit is used to collect data on the weight of the goods passing through the goods registration area to obtain the weight information of the goods;

[0017] The type information, specification information and weight information of the goods together constitute the goods registration data.

[0018] Preferably, the steps of generating a corresponding digital simulation model of goods according to the goods registration data, and performing position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, and obtaining the goods accumulation simulation model include:

[0019] generating a basic simulation model of the cargo according to the specification information of the cargo registration data;

[0020] Analyze and process the type information and weight information of the cargo registration data to obtain an acceptance label of the cargo, and assign the acceptance label to the basic simulation model to obtain the cargo digital simulation model; wherein the acceptance label is used to describe the specific status of the cargo digital simulation model;

[0021] Analyzing the connection relationship between the cargo registration data and the cargo accumulation data to determine the cargo accumulation data consistent with the cargo fed back by the cargo registration data, and setting the position of the cargo digital simulation model according to the cargo accumulation data;

[0022] Performing position marking processing on the cargo digital simulation model after position setting to obtain a position mark of the cargo digital simulation model; wherein the position mark is used to describe the relative position relationship between the cargo digital simulation model and other cargo digital simulation models in the cargo stacking area;

[0023] The digital simulation models of the goods having the position marks are collectively formed into the goods stacking simulation model.

[0024] Preferably, the step of performing multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form includes:

[0025] Performing statistical processing according to the acceptance labels of each of the cargo digital simulation models in the cargo stacking simulation model to determine all cargo types in the cargo stacking simulation model, as well as the number of cargo pieces and the total weight of cargo corresponding to each of the cargo types;

[0026] Constructing a cargo type record axis according to all the cargo types in the cargo stacking simulation model; wherein the cargo type record axis has a plurality of cargo type parameter axes, and each cargo type parameter axis corresponds to one cargo type;

[0027] Filling data of the number of cargo pieces and the total weight of cargo on each cargo type parameter axis of the cargo type record axis according to the number of cargo pieces and the total weight of cargo corresponding to each cargo type in the cargo stacking simulation model;

[0028] Performing position distribution analysis on the position marks of each cargo digital simulation model corresponding to each cargo type parameter axis to obtain a position distribution map of each cargo type parameter axis; wherein the position distribution map is used to describe the stacking distribution status of the cargo type corresponding to the cargo type parameter axis in the cargo stacking area;

[0029] Fill each of the location distribution maps on the corresponding cargo type parameter axis to complete the cargo acceptance form.

[0030] Preferably, the cargo acceptance form further includes a plurality of cargo viewing ports, each of which is respectively arranged on each of the cargo type parameter axes;

[0031] The cargo viewing port is used to receive a viewing instruction, and to highlight each of the digital simulation models corresponding to the cargo viewing port according to the viewing instruction;

[0032] The step of highlighting each of the digital simulation models corresponding to the cargo viewing ports includes:

[0033] Recording the position distribution map corresponding to the cargo viewing port as a first operation map, and recording the position distribution maps corresponding to the remaining cargo viewing ports as a second operation map;

[0034] Each digital simulation model of the goods corresponding to the first operation diagram is highlighted, and each digital simulation model of the goods corresponding to the second operation diagram is blurred.

[0035] In a second aspect, the present invention provides a cargo data acceptance processing device, which is used to implement a cargo data acceptance processing method as described in any one of the first aspects, including:

[0036] An area planning module is used to plan a cargo registration area and a cargo accumulation area, and continuously collect data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area;

[0037] A model simulation module, used to generate a corresponding digital simulation model of goods according to the goods registration data, and perform position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, so as to obtain a goods accumulation simulation model;

[0038] The cargo acceptance module is used to perform multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in multiple dimensions.

[0039] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the method for acceptance and processing of cargo data as described in any one of the first aspects is implemented.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the processor executes a method for acceptance and processing of cargo data as described in any one of the first aspects.

[0041] The present invention provides a method for processing acceptance of cargo data, which has the following beneficial effects:

[0042] The present invention plans and continuously collects data from the cargo registration area and the stacking area, generates digital simulation models of the cargo based on the cargo registration data, then sets the positions of these models in combination with the cargo stacking data, creates a cargo stacking simulation model, and finally generates a cargo acceptance form that displays various cargo data through multi-dimensional analysis of the stacking simulation model. Automated data collection and analysis reduces manual intervention and speeds up processing. The multi-dimensional data display provides comprehensive information for management, facilitates cargo acceptance, and solves the problem in the prior art that when multiple types of cargo are purchased together, they will be stacked together, causing inconvenience to the acceptance work. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the steps of a method for acceptance processing of cargo data provided by an embodiment of the present invention;

[0044] Figure 2 It is a structural schematic diagram of a cargo data acceptance processing device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0047] Reference Figure 1 , Figure 2 As shown, a preferred embodiment of the present invention is provided.

[0048] In a first aspect, the present invention provides a method for processing acceptance of cargo data, comprising:

[0049] S1: planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area;

[0050] S2: generating a corresponding digital simulation model of goods according to the goods registration data, and performing position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, so as to obtain a simulation model of goods accumulation;

[0051] S3: Perform multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in multiple dimensions.

[0052] Specifically, in step S1 of the embodiment provided by the present invention, a cargo registration area and a cargo stacking area are determined according to the conditions at the cargo handling site, wherein the cargo registration area is an area that will be passed through when the cargo is transported, and the cargo registration area is used to collect data on the cargo that is being transported to obtain information about the cargo for construction of a corresponding digital simulation model in subsequent steps, and the cargo stacking area is an area for storing cargo, and the cargo is transported through the cargo registration area to reach the cargo stacking area, and is stacked and stored in the cargo stacking area.

[0053] More specifically, sensors are installed in the cargo registration area and the cargo accumulation area respectively to automatically and continuously collect cargo registration data and cargo accumulation data. It can be understood that the cargo registration data and the cargo accumulation data are connected, that is, the cargo registration data obtained at this moment corresponds to the subsequent cargo accumulation data. Based on this correspondence, we can know what cargo is placed at what position.

[0054] Specifically, in step S2 of the embodiment provided by the present invention, a corresponding digital simulation model of the goods is generated according to the goods registration data.

[0055] It should be noted that a digital simulation model is a virtual model created by computer software, which is used to simulate and analyze objects, processes, systems and phenomena in the real world or imagination. These models are based on mathematical formulas and algorithms and can accurately reflect the behavior, performance and dynamic changes of the objects being simulated. In one embodiment provided by the present invention, the digital simulation model of goods is a digital virtual model created based on the goods registration data, which is used to feedback the specific conditions of the goods to achieve the effect of goods acceptance.

[0056] Specifically, in step S3 of the embodiment provided by the present invention, the cargo stacking simulation model is analyzed in multiple dimensions to generate a cargo acceptance form, which is used to display cargo data in multiple dimensions.

[0057] It should be noted that in some cargo handling scenarios, especially in cargo handling scenarios such as catering stores, various types of cargo will be piled together irregularly, which will cause some cargo to be covered by other cargo. The cargo needs to be moved again when counting the cargo, and omissions or duplications may occur during the counting work, which brings difficulties to the acceptance work. If the acceptance personnel are asked to record each piece of cargo and then let the transport personnel move it one by one, the handling efficiency of the transport personnel will be reduced, and the recording work will also be inefficient in the absence of professional recording software.

[0058] It can be understood that in an embodiment provided by the present invention, a pre-set data acquisition device can be used to automatically collect cargo data, and the stacking situation of the cargo can be described through digital simulation technology. The handling and recording work will be carried out efficiently, and the condition of the cargo can be intuitively expressed in the form of tables and simulation models, which facilitates the cargo acceptance work.

[0059] It can be understood that the scenario described above is only an example, and the technical solution of the present invention can also be applied to other referenceable work scenarios.

[0060] The present invention provides a method for processing acceptance of cargo data, which has the following beneficial effects:

[0061] The present invention plans and continuously collects data from the cargo registration area and the stacking area, generates digital simulation models of the cargo based on the cargo registration data, then sets the positions of these models in combination with the cargo stacking data, creates a cargo stacking simulation model, and finally generates a cargo acceptance form that displays various cargo data through multi-dimensional analysis of the stacking simulation model. Automated data collection and analysis reduces manual intervention and speeds up processing. The multi-dimensional data display provides comprehensive information for management, facilitates cargo acceptance, and solves the problem in the prior art that when multiple types of cargo are purchased together, they will be stacked together, causing inconvenience to the acceptance work.

[0062] Preferably, the steps of planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area include:

[0063] S11: determining the cargo stacking area prepared for stacking cargoes, and setting a stacking data acquisition device for data acquisition for the cargo stacking area;

[0064] S12: determining the cargo registration area to be passed when the cargo is transported to the cargo stacking area, and setting a transport data collection device for data collection for the cargo registration area;

[0065] S13: continuously collecting data through the transport data collection device to obtain cargo registration data of the cargo registration area, and continuously collecting data through the accumulation data collection device to obtain cargo accumulation data of the cargo accumulation area.

[0066] Specifically, select an area suitable for storing goods, take into account factors such as the type, size and access frequency of the goods to maximize space utilization and operational efficiency, and install necessary data acquisition equipment in the cargo stacking area to monitor and record the stacking conditions and changes of the goods in real time.

[0067] More specifically, an area is planned for registering goods before they are moved from the receiving area to the stacking area. This area will serve as the location where the goods information is first entered. A transportation data collection device is set up in the goods registration area to capture relevant data in real time when the goods enter the warehouse.

[0068] More specifically, the collection device in the registration area continuously collects the identification data, size, weight and other information of each item of goods. In the stacking area, the device continuously tracks the storage location, stacking status and storage time of the goods.

[0069] It is understandable that through automated data collection equipment, manual entry errors can be reduced and the accuracy and completeness of cargo information can be ensured. The continuously collected data can be used to monitor the flow and stacking status of cargo and provide transparency about the circulation of cargo.

[0070] Preferably, the stacking data acquisition device includes a plurality of image vision acquisition units.

[0071] Specifically, each image vision acquisition unit acquires image vision data from multiple angles of the cargo stacking area, and combines the image vision data from various angles to obtain cargo stacking data of the cargo stacking area.

[0072] More specifically, multiple image vision acquisition units are installed at key locations in the cargo stacking area. These locations need to be able to cover the entire area, ensure that images are acquired from multiple angles, and ensure that each acquisition unit can capture images of the cargo stacking from different angles, so as to maximize the field of view coverage and data integrity.

[0073] More specifically, the image vision acquisition unit continuously monitors the cargo stacking area, collects image data in real time, pre-processes the collected images, such as adjusting contrast and brightness, filtering out noise, etc. to improve image quality, combines images collected at different angles, uses image processing software or customized algorithms to perform image stitching and three-dimensional reconstruction to obtain a complete cargo stacking view, and applies image recognition technology (such as machine learning models) to identify cargo information in the image, such as type, size, and location.

[0074] It can be understood that through multi-angle image capture, a comprehensive view of cargo stacking can be obtained, information blind spots can be reduced, data accuracy and completeness can be improved, and the positional relationship between each cargo can be accurately obtained.

[0075] Preferably, the transport data collection device includes a cargo label reading unit and a weight collection unit.

[0076] Specifically, the cargo label reading unit is used to read the cargo labels of the cargo passing through the cargo registration area to obtain the type information and specification information of the cargo; the weight collection unit is used to collect cargo weight data of the cargo passing through the cargo registration area to obtain the weight information of the cargo; the type information, specification information and weight information of the cargo together constitute the cargo registration data.

[0077] More specifically, cargo label reading units such as RFID scanners and barcode scanners are installed in the cargo registration area. Such devices can quickly identify labels on passing cargo, and electronic scales or other weight measuring devices are installed to measure the weight of cargo passing through the cargo registration area.

[0078] More specifically, when the goods pass through the registration area, the goods label reading unit automatically scans the label on the goods to obtain the type information and specification information of the goods. At the same time, when the goods pass through the registration area, the weight collection unit measures and records the weight of the goods, and combines the type information, specification information and weight information read from the goods label to form complete goods registration data.

[0079] It is understandable that automated data collection reduces human errors and improves data accuracy, while rapid data processing also speeds up the flow of goods and improves overall operational efficiency.

[0080] Preferably, the steps of generating a corresponding digital simulation model of goods according to the goods registration data, and performing position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, and obtaining the goods accumulation simulation model include:

[0081] S21: generating a basic simulation model of the goods according to the specification information of the goods registration data;

[0082] S22: Analyze and process the type information and weight information of the cargo registration data to obtain an acceptance label of the cargo, and assign the acceptance label to the basic simulation model to obtain a digital simulation model of the cargo; wherein the acceptance label is used to describe the specific status of the digital simulation model of the cargo;

[0083] S23: analyzing the connection relationship between the cargo registration data and the cargo accumulation data to determine the cargo accumulation data consistent with the cargo fed back by the cargo registration data, and setting the position of the cargo digital simulation model according to the cargo accumulation data;

[0084] S24: performing position marking processing on the cargo digital simulation model after position setting to obtain a position mark of the cargo digital simulation model; wherein the position mark is used to describe the relative position relationship between the cargo digital simulation model and the remaining cargo digital simulation models in the cargo stacking area.

[0085] S25: The digital simulation models of the goods having the position marks together constitute the goods stacking simulation model.

[0086] Specifically, a basic digital simulation model of each piece of cargo is generated based on the specification information (size, shape, etc.) in the cargo registration data, and the type and weight information of the cargo is used for analysis to determine the acceptance label for each piece of cargo. The label is assigned to the corresponding basic simulation model to generate a complete digital simulation model of the cargo.

[0087] More specifically, the cargo registration data is matched and analyzed with the cargo stacking data to determine the actual stacking situation of each piece of cargo in the warehouse. Based on the cargo stacking data, the position of each cargo digital simulation model is set to ensure that the model reflects the actual physical location and stacking status.

[0088] More specifically, position marks are added to each digital simulation model of goods that has been position-set. These marks describe the positional relationship of each model relative to other models in the stacking area. All digital simulation models of goods with position marks are combined together to form a complete cargo stacking simulation model, which is used to visualize the cargo layout of the entire warehouse.

[0089] It can be understood that the digital simulation model provides an intuitive tool to help managers understand and optimize cargo accumulation strategies and support better decision-making. The cargo simulation model can be updated and adjusted based on real-time data to reflect the current cargo accumulation status to facilitate cargo acceptance.

[0090] Preferably, the step of performing multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form includes:

[0091] S31: performing statistical processing according to the acceptance labels of each of the cargo digital simulation models in the cargo stacking simulation model to determine all cargo types in the cargo stacking simulation model, as well as the number of cargo pieces and the total weight of cargo corresponding to each of the cargo types;

[0092] S32: constructing a cargo type record axis according to all the cargo types in the cargo stacking simulation model; wherein the cargo type record axis has a plurality of cargo type parameter axes, and each cargo type parameter axis corresponds to one cargo type;

[0093] S33: filling data of the number of cargo pieces and the total weight of cargo on each cargo type parameter axis of the cargo type record axis according to the number of cargo pieces and the total weight of cargo corresponding to each cargo type in the cargo stacking simulation model;

[0094] S34: Analyze and process the position distribution of the position marks of each of the cargo digital simulation models corresponding to each of the cargo type parameter axes to obtain a position distribution map of each of the cargo type parameter axes; wherein the position distribution map is used to describe the stacking distribution status of the cargo type corresponding to the cargo type parameter axis in the cargo stacking area;

[0095] S35: Fill each of the location distribution maps on the corresponding cargo type parameter axes to complete the cargo acceptance form.

[0096] Specifically, the acceptance label of each cargo is extracted from the stacking simulation model, the types, number of pieces and total weight of all cargo are counted, and all cargo types and their corresponding quantities and weights in the simulation model are determined.

[0097] More specifically, a cargo type record axis is created, which contains multiple cargo type parameter axes, each parameter axis corresponds to a cargo type, and based on the results of statistical processing, the number of pieces and total weight of each cargo type are filled into the corresponding cargo type parameter axis.

[0098] More specifically, the position marks of the digital simulation model of the goods on each cargo type parameter axis are analyzed to determine the distribution status of the goods in the stacking area, and a position distribution map is created to describe the distribution of each cargo type in the stacking area. Each position distribution map is integrated into the corresponding cargo type parameter axis, and the collected and analyzed data is used to prepare the final cargo acceptance form, showing detailed cargo information and distribution status.

[0099] It can be understood that the cargo acceptance form provides a detailed view of the cargo, including quantity, weight and spatial distribution, which helps to understand the cargo stacking status more intuitively, and the clear cargo distribution and type information speeds up the cargo handling and retrieval process and improves acceptance efficiency.

[0100] Preferably, the cargo acceptance form further includes a plurality of cargo viewing ports, each of which is respectively arranged on each of the cargo type parameter axes; the cargo viewing ports are used to receive viewing instructions, and highlight each of the digital simulation models corresponding to the cargo viewing ports according to the viewing instructions; wherein the step of highlighting each of the digital simulation models corresponding to the cargo viewing ports comprises:

[0101] S36: recording the position distribution map corresponding to the cargo viewing port as a first operation map, and recording the position distribution maps corresponding to the remaining cargo viewing ports as a second operation map;

[0102] S37: Highlighting the digital simulation models of the goods corresponding to the first operation diagram, and blurring the digital simulation models of the goods corresponding to the second operation diagram.

[0103] Specifically, a cargo viewing port is set on each cargo type parameter axis of the cargo acceptance form. These ports can receive and process viewing instructions from users. When the user selects a specific cargo viewing port, the system receives a viewing instruction and triggers subsequent display processing.

[0104] More specifically, according to the viewing port selected by the user, the corresponding location distribution map is defined as the first operation map, and the remaining location distribution maps are defined as the second operation map. All digital simulation models of goods in the first operation map are highlighted to make these models visually prominent and facilitate user identification and analysis. At the same time, the digital simulation models of goods in the second operation map are displayed in a blurred manner to reduce their visual priority, ensuring that the user focuses on the selected type of goods.

[0105] It can be understood that the interactive port and visual highlight design improves the intuitiveness and ease of use of user operations, allowing users to quickly find the required cargo information. Users can quickly obtain detailed information about specific cargo types through simple clicks or touch operations, which enhances the instant accessibility of information. Highlighting and blurring enhance the visual expression of data, helping users to more easily distinguish different cargo types and states, and providing a more effective way to interpret data. By providing detailed and targeted visual data displays, cargo acceptance is facilitated, and the obscured parts of the stacked cargo can be easily determined.

[0106] Reference Figure 2 As shown, in a second aspect, the present invention provides a cargo data acceptance processing device, which is used to implement a cargo data acceptance processing method as described in any one of the first aspects, including:

[0107] An area planning module is used to plan a cargo registration area and a cargo accumulation area, and continuously collect data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area;

[0108] A model simulation module, used to generate a corresponding digital simulation model of goods according to the goods registration data, and perform position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, so as to obtain a goods accumulation simulation model;

[0109] The cargo acceptance module is used to perform multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in multiple dimensions.

[0110] In this embodiment, for the specific implementation of each module in the above-mentioned device embodiment, please refer to the above-mentioned method embodiment, which will not be described in detail here.

[0111] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the method for acceptance and processing of cargo data as described in any one of the first aspects is implemented.

[0112] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the processor executes a method for acceptance and processing of cargo data as described in any one of the first aspects.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for processing cargo data acceptance, characterized in that: include: Planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area; Generate a corresponding digital simulation model of goods according to the goods registration data, and perform position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods to obtain a simulation model of goods accumulation; Perform multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in multiple dimensions; The steps of planning a cargo registration area and a cargo accumulation area, and continuously collecting data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area include: Determine the cargo stacking area prepared for stacking cargo, and set a stacking data collection device for data collection for the cargo stacking area; Determine the cargo registration area to be passed when the cargo is transported to the cargo stacking area, and set a transport data collection device for data collection for the cargo registration area; The transport data collection device continuously collects data to obtain cargo registration data of the cargo registration area, and the accumulation data collection device continuously collects data to obtain cargo accumulation data of the cargo accumulation area; The stacking data acquisition device includes a plurality of image vision acquisition units; Each of the image vision acquisition units acquires image vision data from multiple angles of the cargo stacking area, and combines the image vision data from each angle to obtain the cargo stacking data of the cargo stacking area; The transport data collection device includes a cargo label reading unit and a weight collection unit; The cargo label reading unit is used to read cargo labels of cargo passing through the cargo registration area to obtain cargo type information and specification information; The weight collection unit is used to collect data on the weight of the goods passing through the goods registration area to obtain the weight information of the goods; The type information, specification information and weight information of the goods together constitute the goods registration data; The steps of generating a corresponding digital simulation model of goods according to the goods registration data, and performing position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, and obtaining the goods accumulation simulation model include: generating a basic simulation model of the cargo according to the specification information of the cargo registration data; Analyze and process the type information and weight information of the cargo registration data to obtain an acceptance label of the cargo, and assign the acceptance label to the basic simulation model to obtain the cargo digital simulation model; wherein the acceptance label is used to describe the specific status of the cargo digital simulation model; Analyzing the connection relationship between the cargo registration data and the cargo accumulation data to determine the cargo accumulation data consistent with the cargo fed back by the cargo registration data, and setting the position of the cargo digital simulation model according to the cargo accumulation data; Performing position marking processing on the cargo digital simulation model after position setting to obtain a position mark of the cargo digital simulation model; wherein the position mark is used to describe the relative position relationship between the cargo digital simulation model and other cargo digital simulation models in the cargo stacking area; The digital simulation models of the goods having the position marks are collectively formed into the goods stacking simulation model.

2. A method for processing cargo data acceptance according to claim 1, characterized in that: The steps of performing multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form include: Performing statistical processing according to the acceptance labels of each of the cargo digital simulation models in the cargo stacking simulation model to determine all cargo types in the cargo stacking simulation model, as well as the number of cargo pieces and the total weight of cargo corresponding to each of the cargo types; Constructing a cargo type record axis according to all the cargo types in the cargo stacking simulation model; wherein the cargo type record axis has a plurality of cargo type parameter axes, and each cargo type parameter axis corresponds to one cargo type; Filling data of the number of cargo pieces and the total weight of cargo on each cargo type parameter axis of the cargo type record axis according to the number of cargo pieces and the total weight of cargo corresponding to each cargo type in the cargo stacking simulation model; Performing position distribution analysis on the position marks of each cargo digital simulation model corresponding to each cargo type parameter axis to obtain a position distribution map of each cargo type parameter axis; wherein the position distribution map is used to describe the stacking distribution status of the cargo type corresponding to the cargo type parameter axis in the cargo stacking area; Fill each of the location distribution maps on the corresponding each of the cargo type parameter axes to complete the cargo acceptance form.

3. A method for handling cargo data acceptance as claimed in claim 2, characterized in that: The cargo acceptance form also includes a plurality of cargo viewing ports, each of which is respectively arranged on each of the cargo type parameter axes; The cargo viewing port is used to receive a viewing instruction, and to highlight each of the digital simulation models corresponding to the cargo viewing port according to the viewing instruction; The step of highlighting each of the digital simulation models corresponding to the cargo viewing port comprises: Recording the position distribution map corresponding to the cargo viewing port as a first operation map, and recording the position distribution maps corresponding to the remaining cargo viewing ports as a second operation map; Each digital simulation model of the goods corresponding to the first operation diagram is highlighted, and each digital simulation model of the goods corresponding to the second operation diagram is blurred.

4. A cargo data acceptance processing device, characterized in that: A method for processing and accepting cargo data according to any one of claims 1 to 3, comprising: An area planning module is used to plan a cargo registration area and a cargo accumulation area, and continuously collect data on the cargo registration area and the cargo accumulation area to obtain cargo registration data of the cargo registration area and cargo accumulation data of the cargo accumulation area; A model simulation module, used to generate a corresponding digital simulation model of goods according to the goods registration data, and perform position setting processing on the digital simulation model of goods according to the goods accumulation data corresponding to the digital simulation model of goods, so as to obtain a goods accumulation simulation model; The cargo acceptance module is used to perform multi-dimensional analysis and processing on the cargo stacking simulation model to generate a cargo acceptance form; wherein the cargo acceptance form is used to display cargo data in multiple dimensions.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the method for accepting and processing cargo data described in any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the processor executes a method for acceptance and processing of cargo data as described in any one of claims 1-3.

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