Logistics warehouse goods storage method and system and storage medium

Abstract

The invention discloses a logistics warehouse cargo storage method and system and a storage medium, relates to the field of logistics warehouse cargo storage, realizes intelligent warehouse management through multi-module cooperation, remarkably improves inventory monitoring and cargo scheduling efficiency, and improves the cargo scheduling efficiency based on video image recognition and contour matching technologies in combination with database information. Accurate inventory data is generated in real time, unregistered goods are effectively identified, manual inventory errors are reduced, goods flow indexes are quantified through a dynamic time decay model, and goods turnover rules are accurately reflected by combining weighted analysis of carrying proportion and quantity, so that data support is provided for scheduling decision making. Multi-dimensional factors such as environmental parameters, transportation distance and storage capacity are integrated, a callout-storage staged optimization model is established, environmental adaptability, storage safety and scheduling rationality are organically combined, manual intervention is reduced, the warehouse turnover efficiency is improved, the storage cost is reduced, and a full-process closed-loop intelligent warehouse management system is formed.

Description

Technical Field

[0001] The present application relates to the field of logistics warehousing cargo storage, and in particular to a logistics warehousing cargo storage method, system and storage medium. Background Art

[0002] With the advancement of science and technology and the development of the logistics industry, the requirements for the storage of warehouse goods are becoming more and more stringent, in order to reduce the cost of warehouse storage, improve the efficiency and accuracy of warehouse storage, and reduce the loss of warehouse storage. However, the existing technology still has the following shortcomings; Existing technologies Traditional warehouse management relies on manual inventory or static sensors, which have problems such as data lag, missed detection, and false detection, making it difficult to reflect inventory dynamics in real time. Traditional methods cannot quantify the frequency and priority of goods circulation, resulting in scheduling strategies that rely on experience and lack scientificity. Traditional scheduling does not comprehensively consider the frequency of goods flow, transportation distance and handling costs, resulting in path redundancy and low efficiency. It is difficult to achieve the mutual coupling of multiple factors such as environment, space, and flow index, resulting in low warehouse management efficiency. Summary of the Invention

[0003] The object of the present invention is to provide a logistics warehousing cargo storage method, system and storage medium to solve the problems raised in the above background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: a logistics warehousing cargo storage system, comprising: Inventory data monitoring module: used to monitor the storage status of the target storage warehouse and conduct preliminary analysis to obtain the inventory information corresponding to the target storage warehouse; Data analysis module: used to obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse, and obtain the goods transfer reference set of the target storage warehouse; Goods storage control module: used to obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information corresponding to the target storage warehouse and the goods transfer reference set to obtain the goods storage control results corresponding to the target warehouse.

[0005] In the preferred embodiment of this solution, the specific implementation of the inventory data monitoring module is as follows: Establishing a data extraction relationship between the inventory data monitoring module and the database to extract the basic information set corresponding to each type of product stored in the database, wherein the basic information set includes storage requirements, identification information, and basic information corresponding to each type of product. The storage requirements refer to the storage temperature and storage humidity corresponding to each type of product. The identification information refers to the contour model and color histogram corresponding to each type of product. The basic information refers to the weight corresponding to each type of product. Extracting the basic contour model of the shelf stored in the database; Obtaining a warehouse management log corresponding to the target storage warehouse, extracting information from the warehouse management log corresponding to the target storage warehouse to obtain a storage information set corresponding to the target storage warehouse, wherein the storage information set includes the storage quantity of each type of goods corresponding to the target storage warehouse; Monitor each shelf in the target storage warehouse by using a preset video monitoring device in the target storage warehouse, obtain various orientation detection videos corresponding to each shelf in the target storage warehouse, perform image extraction on the various orientation detection videos corresponding to each shelf in the target storage warehouse, obtain the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf, obtain the time point corresponding to the latest moment of each shelf, record the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf as the omnidirectional image set corresponding to each shelf, perform omnidirectional scanning on the omnidirectional image set corresponding to each shelf by using a preset contour scanner, establish a contour model corresponding to each shelf, perform model overlap analysis on the contour model corresponding to each shelf and the basic contour model of the shelf, obtain each non-overlapping part in the contour model corresponding to each shelf, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part in the contour model corresponding to each shelf as the contour model and relative position of each unidentified item corresponding to each shelf; The relative position refers to the relative position of the contour models of each non-overlapping portion or the contour models of each unidentified product on the shelf; Color extraction is performed on the omnidirectional image set corresponding to each shelf based on the relative position of the contour model of the unidentified goods on the shelf, and a color histogram corresponding to each unidentified product on each shelf is obtained; The preset product matching analysis model is used to match the color histogram and contour model corresponding to each unidentified product on each shelf with the contour model and color histogram corresponding to each type of product, and the product categories of each unmatched product, each matched product, and each matched product corresponding to each shelf are obtained; Statistics are collected on each matching product on each shelf and the product category of each matching product to obtain the actual storage volume of each category of goods on each shelf. Statistics are collected on the actual storage volume of each category of goods on each shelf to obtain the actual storage volume of each category of goods in the target storage warehouse. The actual storage quantity corresponding to each type of goods in the target storage warehouse and the actual storage quantity corresponding to each type of goods on each shelf in the target storage warehouse are recorded as inventory information corresponding to the target storage warehouse.

[0006] In the preferred embodiment of this solution, the specific implementation method of the data analysis module is as follows: The image acquisition of each shelf's corresponding azimuth detection video is performed at preset time intervals to obtain a set of omnidirectional images corresponding to each shelf at each interval time point. The omnidirectional image set corresponding to each shelf at each interval time point is analyzed using a product matching analysis model to obtain the actual storage capacity of each type of product on each shelf at each interval time point. Obtaining a goods handling data set corresponding to the target storage warehouse, wherein the goods handling data set includes each handling time point corresponding to each shelf, and the quantity of goods moved in and out at each handling time point; Get the interval time points corresponding to each transport time point; The data of the number of goods moved out and moved in for each type of goods on each shelf corresponding to each transportation time point and the actual storage capacity of each type of goods at the corresponding interval time point are calculated to obtain the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point. According to the preset flow analysis model, the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point are analyzed to obtain the flow index of each type of goods on each shelf. The flow index of each type of goods on each shelf corresponding to each type of goods is recorded as the reference set of goods transfer in the target storage warehouse.

[0007] In a preferred embodiment of this solution, the specific implementation method of storing the control module is as follows: Establish a data extraction relationship between the goods storage control module and the database to extract the maximum storage weight corresponding to the shelf stored in the database; Obtain the task information of the handling task corresponding to the target storage warehouse, where the task information includes various types of goods to be stored and the corresponding storage quantities, and various types of goods to be transferred out and the corresponding transfer quantities; By monitoring at a preset environmental monitoring device corresponding to the target storage warehouse, environmental information corresponding to each area near the goods in the target storage warehouse is obtained, and the environmental information corresponding to the area near each shelf in the target storage warehouse is recorded as environmental information corresponding to each shelf in the target storage warehouse, wherein the environmental information includes environmental temperature and environmental humidity; Obtain a design plan corresponding to the target storage warehouse, wherein the design plan includes the transportation route distance corresponding to each shelf to the entrance and exit of the target storage warehouse, which is recorded as the transportation distance corresponding to each shelf; According to the environmental information of each shelf corresponding to the target storage warehouse and the storage temperature and humidity corresponding to each type of goods, the shelves corresponding to each type of goods to be stored in the handling task and the shelves corresponding to each type of goods to be transferred out in the handling task are obtained, and the corresponding types of goods to be stored in, goods to be transferred out, and the actual storage quantity of each shelf are statistically obtained; A goods storage control model is established based on the actual storage capacity of various types of goods on each shelf in the target storage warehouse, the maximum storage weight of the shelf, the weight of each type of goods, the transportation distance of each shelf, the goods transfer reference set of the target storage warehouse, the various types of goods to be stored on each shelf, the various types of goods to be transferred out and the actual storage capacity. The goods storage control results corresponding to the target warehouse are obtained through analysis based on the goods storage control model.

[0008] To achieve the above object, the present invention further provides the following technical solution: a method for storing goods in a logistics warehouse, comprising the following steps: Monitor and conduct preliminary analysis on the storage status of the target storage warehouse to obtain the corresponding inventory information of the target storage warehouse; Obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse to obtain the goods transfer reference set of the target storage warehouse; Obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information and goods transfer reference set corresponding to the target storage warehouse to obtain the goods storage control result corresponding to the target warehouse.

[0009] To achieve the above-mentioned purpose, the present invention also provides the following technical solution: a logistics warehousing cargo storage storage medium, characterized in that the logistics warehousing cargo storage storage medium stores logistics warehousing cargo storage readable instructions, and when the logistics warehousing cargo storage readable instructions are executed by the processor, a logistics warehousing cargo storage system described in any one of the present invention is implemented.

[0010] Compared with the prior art, the present invention has the following beneficial effects: The present invention achieves intelligent warehouse management through the collaboration of multiple modules, significantly improving the efficiency of inventory monitoring and cargo scheduling. The inventory data monitoring module, based on video image recognition and contour matching technology, combines database information to generate accurate inventory data in real time, effectively identify unregistered goods, and reduce manual inventory errors. The data analysis module quantifies the goods flow index through a dynamic time decay model, and combines a weighted analysis of the movement ratio and quantity to accurately reflect the turnover pattern of goods, providing data support for scheduling decisions. The goods storage control module integrates multiple dimensional factors such as environmental parameters, transportation distance, and storage capacity to establish a phased optimization model for transfer-in and transfer-out, giving priority to goods with high flow indexes and near exports, and dynamically allocating storage resources according to the flow index and transportation cost to achieve efficient utilization of inventory space. Through automated data collection and intelligent algorithms, the system organically combines environmental adaptability, storage security, and scheduling rationality, reducing manual intervention, improving warehouse turnover efficiency, and reducing storage costs. At the same time, it ensures the storage compliance of temperature and humidity sensitive goods, forming a closed-loop intelligent warehouse management system for the entire process. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of module connections according to an embodiment of the present invention.

[0013] Figure 2 This is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0015] See also Figure 1 , the present invention provides a logistics warehousing goods storage system, the system includes an inventory data monitoring module, a data analysis module and a goods storage control module; The inventory data monitoring module is connected to the data analysis module and the goods storage control module, and the data analysis module is connected to the goods storage control module; The inventory data monitoring module is used to monitor the storage status of the target storage warehouse and conduct preliminary analysis to obtain the inventory information corresponding to the target storage warehouse; Furthermore, the specific implementation of the inventory data monitoring module is as follows: Establishing a data extraction relationship between the inventory data monitoring module and the database to extract the basic information set corresponding to each type of product stored in the database, wherein the basic information set includes storage requirements, identification information, and basic information corresponding to each type of product. The storage requirements refer to the storage temperature and storage humidity corresponding to each type of product. The identification information refers to the contour model and color histogram corresponding to each type of product. The basic information refers to the weight corresponding to each type of product. Extracting the basic contour model of the shelf stored in the database; Obtaining a warehouse management log corresponding to the target storage warehouse, extracting information from the warehouse management log corresponding to the target storage warehouse to obtain a storage information set corresponding to the target storage warehouse, wherein the storage information set includes the storage quantity of each type of goods corresponding to the target storage warehouse; Monitor each shelf in the target storage warehouse by using a preset video monitoring device in the target storage warehouse, obtain various orientation detection videos corresponding to each shelf in the target storage warehouse, perform image extraction on the various orientation detection videos corresponding to each shelf in the target storage warehouse, obtain the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf, obtain the time point corresponding to the latest moment of each shelf, record the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf as the omnidirectional image set corresponding to each shelf, perform omnidirectional scanning on the omnidirectional image set corresponding to each shelf by using a preset contour scanner, establish a contour model corresponding to each shelf, perform model overlap analysis on the contour model corresponding to each shelf and the basic contour model of the shelf, obtain each non-overlapping part in the contour model corresponding to each shelf, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part in the contour model corresponding to each shelf as the contour model and relative position of each unidentified item corresponding to each shelf; The relative position refers to the relative position of the contour models of each non-overlapping portion or the contour models of each unidentified product on the shelf; Perform color extraction on the omnidirectional image set corresponding to each shelf based on the relative position of the contour model of the unidentified product on the shelf, and obtain the color histogram corresponding to each unidentified product on each shelf; The preset product matching analysis model is used to match the color histogram and contour model corresponding to each unidentified product on each shelf with the contour model and color histogram corresponding to each type of product, and the product categories of each unmatched product, each matched product, and each matched product corresponding to each shelf are obtained; Statistics are collected on each matching product on each shelf and the product category of each matching product to obtain the actual storage volume of each category of goods on each shelf. Statistics are collected on the actual storage volume of each category of goods on each shelf to obtain the actual storage volume of each category of goods in the target storage warehouse. The actual storage quantity corresponding to each type of goods in the target storage warehouse and the actual storage quantity corresponding to each type of goods on each shelf in the target storage warehouse are recorded as inventory information corresponding to the target storage warehouse.

[0016] It should be noted that the specific analysis method for matching the color histogram and contour model corresponding to each unidentified product on each shelf with the appearance ratio contour model and color histogram of each color through the preset product matching analysis model is as follows: Perform model overlap matching on the contour models of each unidentified product on each shelf with the contour models corresponding to each type of product, and obtain the model overlap between the contour models of each unidentified product and the contour models corresponding to each type of product; By extracting information from the color histogram, the appearance ratio of each color in the color histogram is obtained. The appearance ratio of each color corresponding to each unidentified product is compared with the appearance ratio of each color corresponding to each type of product to obtain the total color difference coefficient between each unidentified product and each type of product. The specific implementation of the color matching coefficient is as follows: Take the proportion of a color appearing as an example; The color difference coefficient of the color = ┃the color appearance ratio of the unidentified goods corresponding to the color - the color appearance ratio of the goods corresponding to the color ┃÷the color appearance ratio of the goods corresponding to the color; Obtain statistically the color difference coefficients of each unidentified product and each color corresponding to each type of product; The total color difference coefficient of each unidentified product and each type of product is equal to the sum of the color difference coefficients of each color; Obtain the influence weights of the model overlap degree and total color difference coefficient preset in the product matching analysis model on the product matching index; The goods matching index of each unidentified item and each type of goods = the model overlap between each unidentified item and each type of goods × the weight of the influence of the model overlap on the goods matching index - the total color difference coefficient between each unidentified item and each type of goods × the weight of the influence of the color matching coefficient on the goods matching index; Compare the goods matching index of each unidentified product with each type of goods with the preset goods matching index, obtain the goods category corresponding to each unidentified product with a larger number of goods matching indexes than the preset goods matching index, record the goods category corresponding to each unidentified product with a larger number of goods matching indexes than the preset goods matching indexes as the preliminary analysis goods category corresponding to each unidentified product, if the unidentified product has a preliminary analysis goods category, record the preliminary analysis goods category corresponding to the maximum goods matching index as the goods category of the unidentified product, if the unidentified product does not have a preliminary analysis goods category, record the unidentified product as an unmatched product; Obtain statistics on each unmatched product, each matched product, and the product category of each matched product corresponding to each shelf.

[0017] The data analysis module is used to obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse, and obtain the goods transfer reference set of the target storage warehouse; Furthermore, the specific execution method of the data analysis module is as follows: The image acquisition of each shelf's corresponding azimuth detection video is performed at preset time intervals to obtain a set of omnidirectional images corresponding to each shelf at each interval time point. The omnidirectional image set corresponding to each shelf at each interval time point is analyzed using a product matching analysis model to obtain the actual storage capacity of each type of product on each shelf at each interval time point. Obtaining a goods handling data set corresponding to the target storage warehouse, wherein the goods handling data set includes each handling time point corresponding to each shelf, and the quantity of goods moved in and out at each handling time point; Get the interval time points corresponding to each transport time point; It should be noted that the interval time point corresponding to the transport time point refers to the interval time point before the transport time point and closest to the transport time point; The data of the number of goods moved out and moved in for each type of goods on each shelf corresponding to each transportation time point and the actual storage capacity of each type of goods at the corresponding interval time point are calculated to obtain the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point. According to the preset flow analysis model, the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point are analyzed to obtain the flow index of each type of goods on each shelf. The flow index of each type of goods on each shelf corresponding to each type of goods is recorded as the reference set of goods transfer in the target storage warehouse.

[0018] It should be noted that: according to the preset flow analysis model, the outgoing ratio and incoming ratio of each type of goods corresponding to each shelf at each handling time point are analyzed to obtain the flow index of each type of goods on each shelf. The specific analysis method is as follows: Move-out ratio = move-out quantity ÷ actual storage capacity; move-in ratio = move-in quantity ÷ actual storage capacity; Take any product as an example: Obtain the flow index impact weights corresponding to the movement ratio and movement quantity stored in the flow analysis model; Get the number of units preset in the flow analysis model; Obtain the outgoing ratio, incoming ratio, outgoing quantity, and incoming quantity of this type of goods at each transportation time point; Take any transport time point as an example: If the commodity is only moved out, the moving-in ratio and moving-in quantity are recorded as 0; if the commodity is only moved in, the moving-out ratio and moving-out quantity are recorded as 0; The flow index of this type of goods at the time of transportation = (moving-out ratio + moving-in ratio) × the flow index impact weight corresponding to the moving ratio + (moving-out quantity + moving-in quantity) ÷ unit quantity × the flow index impact weight corresponding to the moving quantity; For example, if the moving ratio of this type of goods at the time of transportation is 0.2 and the moving quantity is 20, the flow index impact weights corresponding to the moving ratio and moving quantity are 0.9 and 0.1 respectively; Then the flow index of this type of goods at the time of transportation = 0.2 × 0.9 + 20 × 0.1 = 3.8; The time decay distribution model is introduced, where the time decay distribution model refers to allocating data reference weights according to the length of the time interval of each reference time point; For example, if there are five reference time points, number them A, B, C, D, and E from far to near, and the time intervals of A, B, C, D, and E are 8 hours, 5 hours, 3 hours, 2 hours, and 1 hour respectively; The reference weight of the data at time point A = 8 ÷ (8 + 8 + 5 + 8 + 5 + 3 + 8 + 5 + 3 + 2 + 8 + 5 + 3 + 2 + 1); Data reference weight at time point B = (8+5) ÷ (8+8+5+8+5+3+8+5+3+2+8+5+3+2+1), and so on; The time interval length of each transport time point corresponding to each shelf is obtained by calculating the time interval length of each transport time point corresponding to each shelf and the time point of the latest moment corresponding to each shelf. The data reference weight of each transport time point corresponding to each shelf is obtained by filtering according to the time interval length of each transport time point corresponding to each shelf; First, multiply the flow index of each transport time point by the data reference weight of each transport time point, and then sum the product of the flow index of each transport time point and the data reference weight of each transport time point to obtain the flow index of each shelf corresponding to each type of goods.

[0019] The goods storage control module is used to obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information corresponding to the target storage warehouse and the goods transfer reference set to obtain the goods storage control results corresponding to the target warehouse.

[0020] Furthermore, the specific implementation of the goods storage control module is as follows: Establish a data extraction relationship between the goods storage control module and the database to extract the maximum storage weight corresponding to the shelf stored in the database; Obtain the task information of the handling task corresponding to the target storage warehouse, where the task information includes various types of goods to be stored and the corresponding storage quantities, and various types of goods to be transferred out and the corresponding transfer quantities; By monitoring at a preset environmental monitoring device corresponding to the target storage warehouse, environmental information corresponding to each area near the goods in the target storage warehouse is obtained, and the environmental information corresponding to the area near each shelf in the target storage warehouse is recorded as environmental information corresponding to each shelf in the target storage warehouse, wherein the environmental information includes environmental temperature and environmental humidity; Obtain a design plan corresponding to the target storage warehouse, wherein the design plan includes the transportation route distance corresponding to each shelf to the entrance and exit of the target storage warehouse, which is recorded as the transportation distance corresponding to each shelf; According to the environmental information of each shelf corresponding to the target storage warehouse and the storage temperature and humidity corresponding to each type of goods, the shelves corresponding to each type of goods to be stored in the handling task and the shelves corresponding to each type of goods to be transferred out in the handling task are obtained, and the corresponding types of goods to be stored in, goods to be transferred out, and the actual storage quantity of each shelf are statistically obtained; It should be noted that the shelves corresponding to various types of goods to be stored refer to shelves whose environmental information meets the storage requirements for the goods to be stored, and the shelves corresponding to various types of goods to be transferred out refer to shelves whose environmental information does not meet the storage requirements for the goods to be transferred out. It should be noted that a shelf can correspond to both the to-be-stored attribute and the to-be-retrieved attribute, or to any one attribute, or to neither attribute; A goods storage control model is established based on the actual storage capacity of various types of goods on each shelf in the target storage warehouse, the maximum storage weight of the shelf, the weight of each type of goods, the transportation distance of each shelf, the goods transfer reference set of the target storage warehouse, the various types of goods to be stored on each shelf, the various types of goods to be transferred out and the actual storage capacity. The goods storage control results corresponding to the target warehouse are obtained through analysis based on the goods storage control model.

[0021] It should be noted that the specific analysis method for obtaining the goods storage control results corresponding to the target warehouse based on the goods storage control model is as follows: The storage of goods corresponding to the target warehouse is carried out in the order of first transferring out and then storing in; Stage 1: Call out control; Obtain the unit transportation distance preset in the goods storage control model; Filter the corresponding types of goods to be dispatched on each shelf, obtain the flow index corresponding to each type of goods to be dispatched on each shelf, and obtain the transportation distance of each shelf; Obtaining the goods transfer weight of the goods transfer index corresponding to the flow index and transportation distance preset in the goods storage control model; Take a single category of goods to be transferred out as an example; Take any shelf corresponding to the goods to be dispatched as an example; The goods transfer index of the shelf corresponding to the goods to be transferred out of this category = 1 ÷ (the flow index of the shelf corresponding to the goods to be transferred out of this category × the goods transfer weight of the goods transfer index corresponding to the flow index + the transportation distance corresponding to the shelf ÷ the unit transportation distance × the goods transfer weight of the goods transfer index corresponding to the transportation distance). The goods transfer index of each shelf corresponding to the goods to be transferred out of this category is obtained by statistics. Specifically, the closer the transportation distance of the shelf, the smaller the flow index of the shelf corresponding to the goods to be transferred out of this category, and the larger the goods transfer index of the shelf corresponding to the goods to be transferred out of this category; For example, the flow index of this shelf for this type of goods to be transferred out is 9.5, and the goods transfer weight of the goods transfer index corresponding to the flow index is 0.2. The transportation distance corresponding to this shelf is 50 meters, the unit transportation distance is 10 meters, and the goods transfer weight of the goods transfer index corresponding to the transportation distance is 0.8. Then the goods transfer index of this shelf corresponding to the goods to be transferred out = 9.5 × 0.2 + 50 meters ÷ 10 meters × 0.8 = 5.9; Arrange the product transfer indexes of each shelf corresponding to the type of goods to be transferred out in descending order to obtain a queue of shelves corresponding to the type of goods to be transferred out. Transfer the actual storage quantity of each shelf corresponding to the type of goods to be transferred out in the order of the queue to obtain the actual transfer quantity of each shelf corresponding to the type of goods to be transferred out. Statistically obtain the actual transfer quantity of each shelf corresponding to each type of goods to be transferred out. Record the actual transfer quantity of each shelf corresponding to each type of goods to be transferred out as the goods transfer control result corresponding to the target warehouse. Phase 2: Deposit control; Calculate the actual amount of goods transferred out of each shelf and the actual storage amount of each shelf to obtain the actual storage amount of each shelf after the goods are transferred out. The actual storage amount of each shelf after the goods are transferred out is recorded as the effective storage amount of each shelf for each category of goods. Calculate the remaining storage weight of each shelf based on the effective storage capacity of each type of goods, the weight of each type of goods, and the maximum storage weight of the shelf; Arrange the various items to be stored and the corresponding storage quantities according to the size to obtain a queue of items to be stored; Take the first-priority items to be stored and their quantities as an example; Obtain the flow index of each shelf corresponding to the type of goods to be stored, and obtain the transportation distance corresponding to each shelf; Obtaining the goods storage weight of the goods storage index corresponding to the flow index and transportation distance preset in the goods storage control model; Take any shelf as an example; The product storage index of the shelf corresponding to the type of goods to be stored = (the flow index of the shelf corresponding to the type of goods to be stored × the product storage weight of the product storage index corresponding to the flow index) ÷ (the transportation distance corresponding to the shelf ÷ the unit transportation distance × the product storage weight of the product storage index corresponding to the transportation distance). Specifically, the larger the flow index, the shorter the transportation distance, the greater the product storage index; Arrange the goods storage indexes corresponding to the categories of goods to be stored on each shelf in descending order to obtain a queue of pending storage shelves corresponding to the categories of goods to be stored; calculate the maximum storage quantity of each shelf corresponding to the categories of goods to be stored based on the remaining storage weight of each shelf in the queue of pending storage shelves and the weight corresponding to the categories of goods to be stored; store goods according to the order of the queue of pending storage shelves and the maximum storage quantity of each shelf corresponding to the categories of goods to be stored; obtain the storage quantity of the goods to be stored corresponding to each shelf by statistics; and calculate the remaining storage weight of each shelf after storing the goods of the categories to be stored; The shelves whose remaining storage weight is less than the preset remaining storage weight threshold will be removed, and no more goods will be deposited. The actual storage capacity and remaining storage weight of each shelf and each corresponding category of goods on each shelf after removal will be screened and recorded as the actual storage capacity and remaining storage weight of each shelf and each corresponding category of goods on each shelf corresponding to each second-priority category of goods to be deposited. The categories of goods to be deposited at each priority will be deposited in turn according to the deposit method of the categories of goods to be deposited at the first priority, and the deposited quantity of each shelf corresponding to each category of goods to be deposited at each priority will be obtained. The deposited quantity of each shelf corresponding to each category of goods to be deposited at each priority will be recorded as the goods deposit control result corresponding to the target warehouse, and the goods transfer control result corresponding to the target warehouse and the goods deposit control result corresponding to the target warehouse will be recorded as the goods storage control result corresponding to the target warehouse.

[0022] See also Figure 2 To achieve the above-mentioned purpose, the present invention also provides the following technical solution: a method for storing goods in a logistics warehouse, comprising the following steps: Monitor and conduct preliminary analysis on the storage status of the target storage warehouse to obtain the corresponding inventory information of the target storage warehouse; Obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse to obtain the goods transfer reference set of the target storage warehouse; Obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information and goods transfer reference set corresponding to the target storage warehouse to obtain the goods storage control result corresponding to the target warehouse.

[0023] To achieve the above-mentioned purpose, the present invention also provides the following technical solution: a logistics warehousing cargo storage storage medium, characterized in that the logistics warehousing cargo storage storage medium stores logistics warehousing cargo storage readable instructions, and when the logistics warehousing cargo storage readable instructions are executed by the processor, a logistics warehousing cargo storage system described in any one of the present invention is implemented.

[0024] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A logistics warehousing cargo storage system, characterized by: include: Inventory data monitoring module: used to monitor the storage status of the target storage warehouse and conduct preliminary analysis to obtain the inventory information corresponding to the target storage warehouse; Data analysis module: used to obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse, and obtain the goods transfer reference set of the target storage warehouse; Goods storage control module: used to obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information corresponding to the target storage warehouse and the goods transfer reference set to obtain the goods storage control results corresponding to the target warehouse.

2. A logistics warehousing cargo storage system according to claim 1, characterized in that: The specific implementation of the inventory data monitoring module is as follows: Establishing a data extraction relationship between the inventory data monitoring module and the database to extract the basic information set corresponding to each type of product stored in the database, wherein the basic information set includes storage requirements, identification information, and basic information corresponding to each type of product. The storage requirements refer to the storage temperature and storage humidity corresponding to each type of product. The identification information refers to the contour model and color histogram corresponding to each type of product. The basic information refers to the weight corresponding to each type of product. Extracting the basic contour model of the shelf stored in the database; Obtaining a warehouse management log corresponding to the target storage warehouse, extracting information from the warehouse management log corresponding to the target storage warehouse to obtain a storage information set corresponding to the target storage warehouse, wherein the storage information set includes the storage quantity of each type of goods corresponding to the target storage warehouse; Monitor each shelf in the target storage warehouse by using a preset video monitoring device in the target storage warehouse, obtain various orientation detection videos corresponding to each shelf in the target storage warehouse, perform image extraction on the various orientation detection videos corresponding to each shelf in the target storage warehouse, obtain the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf, obtain the time point corresponding to the latest moment of each shelf, record the shelf image at the latest moment in the various orientation detection videos corresponding to each shelf as the omnidirectional image set corresponding to each shelf, perform omnidirectional scanning on the omnidirectional image set corresponding to each shelf by using a preset contour scanner, establish a contour model corresponding to each shelf, perform model overlap analysis on the contour model corresponding to each shelf and the basic contour model of the shelf, obtain each non-overlapping part in the contour model corresponding to each shelf, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part, the contour model of each non-overlapping part, and the relative position of the contour model of each non-overlapping part in the contour model corresponding to each shelf as the contour model and relative position of each unidentified item corresponding to each shelf; The relative position refers to the relative position of the contour models of each non-overlapping portion or the contour models of each unidentified product on the shelf; Color extraction is performed on the omnidirectional image set corresponding to each shelf based on the relative position of the contour model of the unidentified goods on the shelf, and a color histogram corresponding to each unidentified product on each shelf is obtained; The preset product matching analysis model is used to match the color histogram and contour model corresponding to each unidentified product on each shelf with the contour model and color histogram corresponding to each type of product, and the product categories of each unmatched product, each matched product, and each matched product corresponding to each shelf are obtained; Statistics are collected on each matching product on each shelf and the product category of each matching product to obtain the actual storage volume of each category of goods on each shelf. Statistics are collected on the actual storage volume of each category of goods on each shelf to obtain the actual storage volume of each category of goods in the target storage warehouse. The actual storage quantity corresponding to each type of goods in the target storage warehouse and the actual storage quantity corresponding to each type of goods on each shelf in the target storage warehouse are recorded as inventory information corresponding to the target storage warehouse.

3. A logistics warehousing cargo storage system according to claim 1, characterized in that: The specific execution mode of the data analysis module is as follows: The image acquisition of each shelf's corresponding azimuth detection video is performed at preset time intervals to obtain a set of omnidirectional images corresponding to each shelf at each interval time point. The omnidirectional image set corresponding to each shelf at each interval time point is analyzed using a product matching analysis model to obtain the actual storage capacity of each type of product on each shelf at each interval time point. Obtaining a goods handling data set corresponding to the target storage warehouse, wherein the goods handling data set includes each handling time point corresponding to each shelf, and the quantity of goods moved in and out at each handling time point; Get the interval time points corresponding to each transport time point; The data of the number of goods moved out and moved in for each type of goods on each shelf corresponding to each transportation time point and the actual storage capacity of each type of goods at the corresponding interval time point are calculated to obtain the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point. According to the preset flow analysis model, the ratio of the goods moved out and the ratio of the goods moved in for each type of goods on each shelf corresponding to each transportation time point are analyzed to obtain the flow index of each type of goods on each shelf. The flow index of each type of goods on each shelf corresponding to each type of goods is recorded as the reference set of goods transfer in the target storage warehouse.

4. A logistics warehousing cargo storage system according to claim 1, characterized in that: The specific implementation of the goods storage control module is as follows: Establish a data extraction relationship between the goods storage control module and the database to extract the maximum storage weight corresponding to the shelf stored in the database; Obtain the task information of the handling task corresponding to the target storage warehouse, where the task information includes various types of goods to be stored and the corresponding storage quantities, and various types of goods to be transferred out and the corresponding transfer quantities; By monitoring at a preset environmental monitoring device corresponding to the target storage warehouse, environmental information corresponding to each area near the goods in the target storage warehouse is obtained, and the environmental information corresponding to the area near each shelf in the target storage warehouse is recorded as environmental information corresponding to each shelf in the target storage warehouse, wherein the environmental information includes environmental temperature and environmental humidity; Obtain a design plan corresponding to the target storage warehouse, wherein the design plan includes the transportation route distance corresponding to each shelf to the entrance and exit of the target storage warehouse, which is recorded as the transportation distance corresponding to each shelf; According to the environmental information of each shelf corresponding to the target storage warehouse and the storage temperature and humidity corresponding to each type of goods, the shelves corresponding to each type of goods to be stored in the handling task and the shelves corresponding to each type of goods to be transferred out in the handling task are obtained, and the corresponding types of goods to be stored in, goods to be transferred out, and the actual storage quantity of each shelf are statistically obtained; A goods storage control model is established based on the actual storage capacity of various types of goods on each shelf in the target storage warehouse, the maximum storage weight of the shelf, the weight of each type of goods, the transportation distance of each shelf, the goods transfer reference set of the target storage warehouse, the various types of goods to be stored on each shelf, the various types of goods to be transferred out and the actual storage capacity. The goods storage control results corresponding to the target warehouse are obtained through analysis based on the goods storage control model.

5. A logistics warehousing cargo storage method, applied to a logistics warehousing cargo storage system according to any one of claims 1 to 4, characterized in that: include: Monitor and conduct preliminary analysis on the storage status of the target storage warehouse to obtain the corresponding inventory information of the target storage warehouse; Obtain and perform preliminary analysis on the goods in and out status of the target storage warehouse to obtain the goods transfer reference set of the target storage warehouse; Obtain the task information corresponding to the target warehouse and the environment information set corresponding to the target warehouse, and conduct a comprehensive analysis based on the inventory information and goods transfer reference set corresponding to the target storage warehouse to obtain the goods storage control result corresponding to the target warehouse.

6. A storage medium for storing goods in logistics warehousing, characterized in that: The logistics warehousing cargo storage storage medium stores readable instructions for logistics warehousing cargo storage, and when the readable instructions for logistics warehousing cargo storage are executed by the processor, a logistics warehousing cargo storage system according to any one of claims 1 to 4 is implemented.

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