Warehouse equipment control method and system for taking and placing dyeing and weaving materials

Abstract

The invention discloses a warehouse equipment control method and system for taking and placing dyeing and weaving materials, relates to the field of automation control, solves the problem that the dyeing and weaving materials cannot be intelligently stored and delivered, and comprises the steps of collecting and analyzing real-time environment data of a target warehouse; obtaining a cotton storage priority sequence, a silk storage priority sequence and a chemical fiber storage priority sequence of a plurality of storage shelves in the target warehouse; historical sales data of the dyeing and weaving materials of different material types are collected and analyzed, and sales priority values of the dyeing and weaving materials of different material types corresponding to each month are obtained; storing the dyeing and weaving materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyeing and weaving materials; according to the real-time order data of the dyed and woven materials, the shortest path for reaching the corresponding dyed and woven materials is recognized, the dyed and woven materials are delivered through the shortest path, and intelligent storage and delivery of the dyed and woven materials are achieved.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, in particular to a warehouse equipment control method and system for taking and placing dyed fabrics. Background Art

[0002] Dyed fabrics refer to textile materials formed through dyeing, weaving and other processing techniques. They are the core products in the textile industry chain and can be divided into cotton dyed fabrics, silk dyed fabrics and chemical fiber dyed fabrics according to their types. Different types of dyed fabrics require different suitable storage environments. Improper storage of dyed fabrics will lead to fading and damage. Therefore, when storing, it is necessary to analyze the physical properties of the dyed fabrics and the environment in the storage warehouse and allocate storage locations.

[0003] However, at present, when dyed fabrics are stored, the storage priority of dyed fabrics is not analyzed, and thus it is impossible to match the dyed fabrics with more suitable storage shelves, resulting in defects such as color or damage in the dyed fabrics, causing economic losses to users; To this end, the present invention provides a warehouse equipment control method and system for taking and placing dyed fabrics. Summary of the Invention

[0004] The purpose of the present invention is to provide a warehouse equipment control method and system for taking and placing dyed fabrics, so as to solve the problems raised in the above background technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, a warehouse equipment control method for picking up and placing dyed fabrics is provided, the method comprising: Step S1, collecting material attribute information of dyed fabrics in a target warehouse; Step S2: collecting and analyzing real-time environmental data of the target warehouse to obtain a cotton storage priority sequence, a silk storage priority sequence, and a chemical fiber storage priority sequence for multiple storage shelves in the target warehouse; Step S3, collecting and analyzing historical sales data of dyed fabrics of different material types to obtain sales priority values of dyed fabrics of different material types corresponding to each month; Step S4, storing the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials; Step S5: Identify the shortest path to the corresponding dyed and fabric materials based on the real-time order data of the dyed and fabric materials, and dispatch the dyed and fabric materials from the warehouse via the shortest path.

[0006] Furthermore, the material attribute information includes the material type, material color and material batch corresponding to the dyed and woven materials; the material types include cotton, silk and chemical fiber; the real-time environmental data includes the real-time temperature value, real-time humidity value and real-time air flow rate corresponding to the information collection point in the storage shelf; the historical sales data is the historical monthly sales volume of dyed and woven materials corresponding to different materials and the material repurchase volume in each quarter.

[0007] Furthermore, step S2 includes the following sub-steps: Step S21, obtaining a plan design corresponding to the target warehouse and reading the total number of storage shelves in the target warehouse; Step S22: setting multiple information collection points on each storage shelf to collect real-time temperature, real-time humidity, and real-time air flow rate at the information collection points; In step S23, for multiple information collection points on the same storage shelf, the real-time temperature values of all information collection points are added and averaged to obtain the shelf average temperature value; and then the shelf temperature standard deviation of the multiple information collection points corresponding to the storage shelf is calculated based on the shelf average temperature value of the storage shelf.

[0008] Furthermore, the step S2 further includes the following sub-steps: Step S24: Subtract the shelf temperature standard deviation from the shelf average temperature to obtain the first temperature limit value, and add the shelf temperature standard deviation to the shelf average temperature to obtain the second temperature limit value; use the first temperature limit value as the left endpoint and the second temperature limit value as the right endpoint to obtain the temperature screening interval; discard the real-time temperature values outside the temperature screening interval, and record the remaining real-time temperature values as the reserved temperature values of the corresponding storage shelves. Step S25: Similarly, multiple reserved humidity values and reserved air flow rates of the storage shelves are obtained; the reserved temperature values of the same storage shelf are summed and averaged to obtain a calculated average temperature value JWZn of the corresponding storage shelf, where n is the number of the storage shelf, n=1, 2, ..., z, and z is a positive integer; Step S26: Similarly, the calculated average humidity value JSZn and the calculated average air flow rate JKSn of the storage shelf are obtained; and the suitable temperature storage interval, suitable humidity storage interval and suitable air flow rate storage interval corresponding to different material types of dyed fabrics are obtained.

[0009] Furthermore, the step S2 further includes the following sub-steps: Step S27: Calculate the cotton storage priority value MYXn of the storage shelf using a formula. The calculation formula for the cotton storage priority value is as follows: ; Where, WFS is the suitable temperature score, WZD is the left endpoint of the suitable temperature storage interval, WPC is the temperature deviation, and BWP is the standard temperature deviation; SFS is the suitable humidity score, SPC is the humidity deviation, and BSP is the standard humidity deviation; KFS is the suitable air flow rate score, KZD is the left endpoint of the suitable humidity storage interval, KYD is the right endpoint of the suitable humidity storage interval, KPC is the air flow rate deviation, BKP is the standard air flow rate deviation, and A1, A2, and A3 are fixed value weight coefficients. Step S28: Similarly, calculate the silk storage priority value SYXn and the chemical fiber storage priority value HYXn of the storage shelf; arrange the storage shelves in descending order according to the cotton storage priority value, the silk storage priority value, and the chemical fiber storage priority value, and obtain the cotton storage priority sequence, the silk storage priority sequence, and the chemical fiber storage priority sequence of the storage shelves in turn.

[0010] Furthermore, step S3 includes the following sub-steps: Step S31, collecting historical sales data of dyed and woven materials, obtaining historical monthly sales volume of dyed and woven materials corresponding to different material types and material repurchase volume in each quarter; Step S32, calculate the sales priority value XYX of each month of dyed fabrics of different material types by formula, the specific formula is as follows: XYX=LYX×B1+JHG×B2; LYX is the historical monthly sales volume of the current month, JHG is the material repurchase volume of the next quarter; B1 and B2 are weight coefficients.

[0011] Furthermore, the step S4 includes the following sub-steps: Step S41, obtaining the material type, material color and material batch of the dyed fabric; Step S42: Calculate the cotton storage priority MZY of the cotton dyed fabric. The calculation formula is as follows: MZY=YSX×C1+PXS×C2; where YSX is the color correction coefficient corresponding to different material colors, PXS is the batch correction coefficient corresponding to different material batches; C1 and C2 are fixed value weight coefficients; Step S43, similarly calculating and obtaining the silk storage priority of the silk dyed fabric and the chemical fiber storage priority of the chemical fiber dyed fabric; Step S44: storing the cotton dyed fabric materials, storing the cotton dyed fabric materials in the storage shelves corresponding to the cotton storage priority sequence in descending order of cotton storage priority; storing the silk dyed fabric materials in the storage shelves corresponding to the silk storage priority sequence in descending order of silk storage priority; and storing the chemical fiber dyed fabric materials in the storage shelves corresponding to the chemical fiber storage priority sequence in descending order of chemical fiber storage priority; Step S45: If the cotton dyed fabrics, silk dyed fabrics and chemical fiber dyed fabrics are stored on the same storage shelf, the material sales priority values of the corresponding dyed fabrics are obtained, and the dyed fabrics with larger material sales priority values are stored first, and the dyed fabrics with smaller material sales priority values are stored secondarily.

[0012] Furthermore, step S5 includes the following sub-steps: Step S51: If the current date is less than one day from the order delivery date, obtain the material type and material quantity of the dyed fabric in the real-time order data; and read the material location coordinates of the dyed fabric of the corresponding material type; Step S52: Identify all the paths between the material outlet coordinates and the material location coordinates. The first path starting from the material outlet is recorded as a first-level sub-path. If it changes direction once, the subsequent path is recorded as a second-level sub-path. This process is repeated to obtain multiple groups of second-level to p-level sub-paths. Step S53: Divide the path length of any sub-path by the travel speed of the automated pickup rack to obtain the standard pickup time (BSC) for the corresponding sub-path; retrieve the five most recent actual travel times of the automated pickup rack on the corresponding sub-path from the database, and add and average the five actual travel times to obtain the average pickup time (PSC) for the corresponding travel path; Step S54: Calculate the congestion weight coefficient YQX of the corresponding sub-path using the formula. The specific calculation formula is: YQX=(PSC-BSC) / BSC; if the calculated YQX is a negative number, the value of YQX is recorded as 1.

[0013] Furthermore, the step S5 further includes the following sub-steps: Step S55, multiplying the initial weight of the sub-path by the congestion weight coefficient to obtain the actual weight of the corresponding sub-path; Step S56: Identify the path length from the first-level sub-path to the p-level sub-path, use the exit coordinates as the starting point, the material location coordinates as the end point, and the path length of the sub-path as the initial weight of the corresponding path to obtain a pickup connectivity graph during the automatic pickup shelf retrieval process; Step S57, identifying the shortest path from the starting point to the end point using a bidirectional Dijkstra algorithm, and recording the shortest path as the object-retrieval path; In step S58, the automatic picking rack picks up items according to the picking path and sends the obtained dyed fabrics to the warehouse exit of the target warehouse for shipment.

[0014] In the second aspect, a warehouse equipment control system for picking up and placing dyed fabrics includes a data acquisition module, a shelf analysis module, a material analysis module, a material storage module, and an intelligent outbound module; The data acquisition module is used to collect material attribute information of the dyed and fabric materials in the target warehouse and the real-time environmental data of the target warehouse; and send the material attribute information of the dyed and fabric materials to the material storage module, and send the real-time environmental data of the target warehouse to the shelf analysis module; The shelf analysis module is used to analyze the real-time environmental data in the target warehouse, obtain the cotton storage priority sequence, silk storage priority sequence and chemical fiber storage priority sequence of multiple storage shelves in the target warehouse, and send the sequence to the material storage module; The material analysis module is used to analyze the historical sales data of dyed and woven materials of different material types, obtain the sales priority values of dyed and woven materials of different material types corresponding to each month and send them to the material storage module; The material storage module is used to intelligently store the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials, and send the storage location of the dyed and fabric materials to the intelligent outbound module; The intelligent outbound module is used to identify the shortest path to the corresponding dyed and woven materials based on the real-time order data of the dyed and woven materials, and outbound the dyed and woven materials through the shortest path.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention first collects and analyzes the real-time environmental data of the target warehouse to obtain the cotton storage priority sequence, silk storage priority sequence, and chemical fiber storage priority sequence of multiple storage shelves in the target warehouse; then collects and analyzes the historical sales data of dyed and woven materials of different material types to obtain the sales priority values of the dyed and woven materials of different material types corresponding to each month; the present invention realizes the analysis of the dyed and woven materials and the corresponding environment of the target warehouse.

[0016] 2. The present invention then collects the material attribute information of the dyed and fabric materials in the target warehouse; and stores the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials; finally, the shortest path to the corresponding dyed and fabric materials is identified based on the real-time order data of the dyed and fabric materials, and the dyed and fabric materials are shipped out of the warehouse through the shortest path; the present invention realizes the intelligent storage and shipment of dyed and fabric materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0018] Figure 1 The present invention is a flow chart of the method.

[0019] Figure 2 This is a schematic diagram of the sub-paths at each level corresponding to the storage warehouse in the present invention.

[0020] Figure 3 This is the object-taking connection diagram involved in the present invention.

[0021] Figure 4 It is a structural block diagram of the system in the present invention. DETAILED DESCRIPTION

[0022] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.

[0023] Example 1, please refer to Figure 1-Figure 3 As shown, the technical solution provided by the present invention is: a warehouse equipment control method for taking and placing dyed fabrics, which is used to intelligently place and output dyed fabrics in a target warehouse. The method analyzes the environmental information of different storage shelves in the target warehouse, divides the storage shelves into three types: those that are conducive to the storage of cotton dyed fabrics, those that are conducive to the storage of silk dyed fabrics, and those that are conducive to the storage of chemical fiber dyed fabrics, and stores the dyed fabrics according to the material information and historical sales information of different dyed fabrics; At the same time, when the dyed and fabric materials are shipped out, the shortest path between the dyed and fabric materials to be shipped out and the target warehouse exit is identified through the intelligent picking shelf, and the materials are shipped out.

[0024] In this embodiment, the warehouse equipment control method includes the following steps: Step S1, collecting material attribute information of dyed fabrics in a target warehouse; wherein the material attribute information includes the material type (e.g., cotton, silk, or chemical fiber), material color, and material batch of the dyed fabrics; Specifically, it is obtained by reading the storage-related data of the corresponding dyed and woven materials stored in the database.

[0025] Step S2: collecting and analyzing real-time environmental data of the target warehouse to obtain a cotton storage priority sequence, a silk storage priority sequence, and a chemical fiber storage priority sequence for multiple storage shelves in the target warehouse; the real-time environmental data includes real-time temperature values, real-time humidity values, and real-time air flow rates corresponding to information collection points on the storage shelves; In the present invention, step S2 includes the following sub-steps: Step S21, obtaining a plan design corresponding to the target warehouse and reading the total number of storage shelves in the target warehouse; Step S22: Set multiple information collection points on each storage shelf to collect real-time temperature, humidity, and air velocity at the information collection points; specifically, the collection can be performed using temperature sensors, humidity sensors, and anemometers; Step S23: For multiple information collection points on the same storage shelf, the real-time temperature values of all information collection points are summed and averaged to obtain an average shelf temperature value; then, the shelf temperature standard deviation of the multiple information collection points corresponding to the storage shelf is calculated based on the average shelf temperature value of the storage shelf; Step S24: Subtract the shelf temperature standard deviation from the shelf average temperature to obtain a first temperature limit value, and add the shelf temperature standard deviation to the shelf average temperature to obtain a second temperature limit value; a temperature screening interval is determined with the first temperature limit value as the left endpoint and the second temperature limit value as the right endpoint; real-time temperature values outside the temperature screening interval are discarded, and the remaining real-time temperature values are recorded as the reserved temperature values of the corresponding storage shelves; Step S25: Similarly, multiple reserved humidity values and reserved air flow rates of the storage shelves are obtained; the reserved temperature values of the same storage shelf are summed and averaged to obtain a calculated average temperature value JWZn of the corresponding storage shelf, where n is the number of the storage shelf, n=1, 2, ..., z, and z is a positive integer; Step S26: Similarly, the calculated average humidity value JSZn and the calculated average air flow rate JKSn of the storage shelf are obtained; and the suitable temperature storage interval, suitable humidity storage interval, and suitable air flow rate storage interval for the dyed fabric materials of different material types are obtained; Step S27: Calculate the cotton storage priority value MYXn of the storage shelf using a formula. The calculation formula for the cotton storage priority value is as follows: ; Where, WFS is the suitable temperature score, WZD is the left endpoint of the suitable temperature storage interval, WPC is the temperature deviation, and BWP is the standard temperature deviation; SFS is the suitable humidity score, SPC is the humidity deviation, and BSP is the standard humidity deviation; KFS is the suitable air flow rate score, KZD is the left endpoint of the suitable humidity storage interval, KYD is the right endpoint of the suitable humidity storage interval, KPC is the air flow rate deviation, BKP is the standard air flow rate deviation, and A1, A2, and A3 are fixed value weight coefficients. Specifically, if the calculated average temperature value is less than the left endpoint of the suitable temperature storage interval, the temperature deviation value is obtained by subtracting the calculated average temperature value from the left endpoint of the suitable temperature storage interval; if the calculated average temperature value is greater than the right endpoint of the suitable temperature storage interval, the temperature deviation value is obtained by subtracting the right endpoint of the suitable temperature storage interval from the calculated average temperature value. The same applies to SPC and KPC. In the specific calculation, the preferred values of WFS, SFS, and KFS are 100, and the preferred values of BWP, BSP, and BKP are 1. Step S28: Similarly, the silk storage priority value SYXn and the chemical fiber storage priority value HYXn of the storage shelf are calculated; the storage shelves are arranged in descending order according to the cotton storage priority value, the silk storage priority value, and the chemical fiber storage priority value, respectively, to obtain the cotton storage priority sequence, the silk storage priority sequence, and the chemical fiber storage priority sequence of the storage shelves in sequence; It should be noted that, the higher the storage shelf ranks in the cotton storage priority sequence, the stronger its storage capacity for cotton dyed fabrics, and the less likely the cotton dyed fabrics stored in the corresponding storage shelf are to fade.

[0026] Step S3, collecting and analyzing the historical sales data of dyed fabrics of different material types to obtain the sales priority values of dyed fabrics of different material types corresponding to each month; wherein the historical sales data is the historical monthly sales volume of dyed fabrics of different material types and the material repurchase volume of each quarter, In the present invention, step S3 includes the following sub-steps: Step S31, collecting historical sales data of dyed and woven materials, obtaining historical monthly sales volume of dyed and woven materials corresponding to different material types and material repurchase volume in each quarter; Step S32, calculate the sales priority value XYX of each month of dyed fabrics of different material types by formula, the specific formula is as follows: XYX=LYX×B1+JHG×B2; LYX is the historical monthly sales volume of the current month, JHG is the material repurchase volume of the next quarter; B1 and B2 are weight coefficients.

[0027] Step S4, storing the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials; In the present invention, step S4 includes the following sub-steps: Step S41, obtaining the material type, material color and material batch of the dyed fabric; Step S42: Calculate the cotton storage priority MZY of the cotton dyed fabric. The calculation formula is as follows: MZY = YSX × C1 + PXS × C2; where YSX is the color correction coefficient corresponding to different material colors, and PXS is the batch correction coefficient corresponding to different material batches. C1 and C2 are fixed weight coefficients. Colors that are more prone to fading have larger corresponding color correction coefficients, and materials from earlier batches have larger corresponding batch correction coefficients. Step S43, similarly calculating and obtaining the silk storage priority of the silk dyed fabric and the chemical fiber storage priority of the chemical fiber dyed fabric; Step S44: storing the cotton dyed fabric materials, storing the cotton dyed fabric materials in the storage shelves corresponding to the cotton storage priority sequence in descending order of cotton storage priority; storing the silk dyed fabric materials in the storage shelves corresponding to the silk storage priority sequence in descending order of silk storage priority; and storing the chemical fiber dyed fabric materials in the storage shelves corresponding to the chemical fiber storage priority sequence in descending order of chemical fiber storage priority; Step S45: If the cotton dyed fabrics, silk dyed fabrics and chemical fiber dyed fabrics are stored on the same storage shelf, the material sales priority values of the corresponding dyed fabrics are obtained, and the dyed fabrics with larger material sales priority values are stored first, and the dyed fabrics with smaller material sales priority values are stored secondarily.

[0028] Step S5: Identify the shortest path to the corresponding dyed and fabricated material based on the real-time order data of the dyed and fabricated material, and dispatch the dyed and fabricated material via the shortest path; wherein the real-time order data includes the type and quantity of the dyed and fabricated material ordered by the user, and the dispatch date of the order; In the present invention, the outbound process described in step S5 is specifically as follows: It should be noted in advance that the target warehouse in the present invention also includes a plurality of automatic picking shelves for automatically picking up dyed fabrics; Step S51: If the current date is less than one day from the order delivery date, obtain the material type and material quantity of the dyed fabric in the real-time order data; and read the material location coordinates of the dyed fabric of the corresponding material type; Step S52, as Figure 2 As shown in the figure, all the paths between the material exit coordinates and the material location coordinates are identified. The first path starting from the material exit is recorded as a first-level sub-path. If it changes direction once, the subsequent path is recorded as a second-level sub-path. Similarly, multiple groups of second to p-level sub-paths are obtained. Among them, the material exit coordinates are the location of the corresponding exit of the target warehouse. Step S53: Divide the path length of any sub-path by the travel speed of the automated pickup rack to obtain the standard pickup time (BSC) for the corresponding sub-path; retrieve the five most recent actual travel times of the automated pickup rack on the corresponding sub-path from the database, and add and average the five actual travel times to obtain the average pickup time (PSC) for the corresponding travel path; Step S54: Calculate the congestion weight coefficient YQX of the corresponding sub-path using the formula. The specific calculation formula is: YQX = (PSC - BSC) / BSC; if the calculated YQX is a negative number, the value of YQX is recorded as 1; Step S55, multiplying the initial weight of the sub-path by the congestion weight coefficient to obtain the actual weight of the corresponding sub-path; Step S56, as Figure 3 As shown, the path length from the first-level sub-path to the p-level sub-path is identified, with the exit coordinates as the starting point, the material location coordinates as the end point, and the path length of the sub-path as the initial weight of the corresponding path, to obtain the pickup connectivity graph during the automatic pickup shelf retrieval process; Step S57, identifying the shortest path from the starting point to the end point using a bidirectional Dijkstra algorithm, and recording the shortest path as the object-retrieval path; It should be noted that the bidirectional Dijkstra algorithm is an optimization algorithm for efficiently finding the shortest path between two points in a graph. It reduces the search space by searching from both the starting point and the end point, thereby improving computational efficiency. In step S58, the automatic picking rack picks up items according to the picking path and sends the obtained dyed fabrics to the warehouse exit of the target warehouse for shipment.

[0029] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.

[0030] Example 2, as Figure 4 As shown, based on another concept of the same invention, a warehouse equipment control system for picking up and placing dyed fabrics is proposed, including a data acquisition module, a shelf analysis module, a material analysis module, a material storage module and an intelligent outbound module; The data acquisition module is used to collect material attribute information of the dyed and fabric materials in the target warehouse and the real-time environmental data of the target warehouse; and send the material attribute information of the dyed and fabric materials to the material storage module, and send the real-time environmental data of the target warehouse to the shelf analysis module; The shelf analysis module is used to analyze the real-time environmental data in the target warehouse, obtain the cotton storage priority sequence, silk storage priority sequence and chemical fiber storage priority sequence of multiple storage shelves in the target warehouse, and send the sequence to the material storage module; The material analysis module is used to analyze the historical sales data of dyed and woven materials of different material types, obtain the sales priority values of dyed and woven materials of different material types corresponding to each month and send them to the material storage module; The material storage module is used to intelligently store the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials, and send the storage location of the dyed and fabric materials to the intelligent outbound module; The intelligent outbound module identifies the shortest path to the corresponding dyed and fabricated materials based on the real-time order data of the dyed and fabricated materials, and outbound the dyed and fabricated materials through the shortest path.

[0031] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A warehouse equipment control method for taking and placing dyed fabrics, characterized in that: Methods include: Step S1, collecting material attribute information of dyed fabrics in a target warehouse; Step S2: collecting and analyzing real-time environmental data of the target warehouse to obtain a cotton storage priority sequence, a silk storage priority sequence, and a chemical fiber storage priority sequence for multiple storage shelves in the target warehouse; Step S3, collecting and analyzing historical sales data of dyed fabrics of different material types to obtain sales priority values of dyed fabrics of different material types corresponding to each month; Step S4, storing the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials; Step S5: Identify the shortest path to the corresponding dyed and fabric materials based on the real-time order data of the dyed and fabric materials, and dispatch the dyed and fabric materials from the warehouse via the shortest path.

2. A warehouse equipment control method for taking and placing dyed fabrics according to claim 1, characterized in that: The material attribute information includes the material type, material color and material batch corresponding to the dyed and woven materials; the material types include cotton, silk and chemical fiber; the real-time environmental data includes the real-time temperature value, real-time humidity value and real-time air flow rate corresponding to the information collection point in the storage shelf; the historical sales data is the historical monthly sales volume of dyed and woven materials corresponding to different materials and the material repurchase volume in each quarter.

3. A warehouse equipment control method for taking and placing dyed fabrics according to claim 1, characterized in that: The step S2 includes the following sub-steps: Step S21, obtaining a plan design corresponding to the target warehouse and reading the total number of storage shelves in the target warehouse; Step S22: setting multiple information collection points on each storage shelf to collect real-time temperature, real-time humidity, and real-time air flow rate at the information collection points; Step S23: For multiple information collection points on the same storage shelf, the real-time temperature values of all information collection points are summed and averaged to obtain an average shelf temperature value; Then, the shelf temperature standard deviation of the corresponding storage shelf at multiple information collection points is calculated using the shelf average temperature value of the storage shelf.

4. A warehouse equipment control method for taking and placing dyed fabrics according to claim 3, characterized in that: The step S2 further includes the following sub-steps: Step S24: Subtract the shelf temperature standard deviation from the shelf temperature average to obtain a first temperature limit value, and add the shelf temperature standard deviation to the shelf temperature average to obtain a second temperature limit value; a temperature screening interval is obtained with the first temperature limit value as the left endpoint and the second temperature limit value as the right endpoint; Discard the real-time temperature values outside the temperature screening range, and record the remaining real-time temperature values as the reserved temperature values of the corresponding storage shelves; Step S25: Similarly, multiple reserved humidity values and reserved air flow rates of the storage shelves are obtained; The retention temperature values of the same storage shelf are added and averaged to obtain the calculated average temperature value JWZn of the corresponding storage shelf, where n is the number of the storage shelf, n=1, 2, ..., z, and z is a positive integer; Step S26: Similarly, the calculated average humidity value JSZn and the calculated average air flow rate JKSn of the storage shelf are obtained; and the suitable temperature storage interval, suitable humidity storage interval and suitable air flow rate storage interval corresponding to different material types of dyed fabrics are obtained.

5. A warehouse equipment control method for taking and placing dyed fabrics according to claim 4, characterized in that: The step S2 further includes the following sub-steps: Step S27: Calculate the cotton storage priority value MYXn of the storage shelf using a formula. The calculation formula for the cotton storage priority value is as follows: ； Where, WFS is the suitable temperature score, WZD is the left endpoint of the suitable temperature storage interval, WPC is the temperature deviation, and BWP is the standard temperature deviation; SFS is the suitable humidity score, SPC is the humidity deviation, and BSP is the standard humidity deviation; KFS is the suitable air flow rate score, KZD is the left endpoint of the suitable humidity storage interval, KYD is the right endpoint of the suitable humidity storage interval, KPC is the air flow rate deviation, BKP is the standard air flow rate deviation, and A1, A2, and A3 are fixed value weight coefficients. Step S28: Similarly, calculate the silk storage priority value SYXn and the chemical fiber storage priority value HYXn of the storage shelf; arrange the storage shelves in descending order according to the cotton storage priority value, the silk storage priority value, and the chemical fiber storage priority value, and obtain the cotton storage priority sequence, the silk storage priority sequence, and the chemical fiber storage priority sequence of the storage shelves in turn.

6. A warehouse equipment control method for taking and placing dyed fabrics according to claim 1, characterized in that: The step S3 includes the following sub-steps: Step S31, collecting historical sales data of dyed and woven materials, obtaining historical monthly sales volume of dyed and woven materials corresponding to different material types and material repurchase volume in each quarter; Step S32, calculate the sales priority value XYX of each month of dyed fabrics of different material types by formula, the specific formula is as follows: XYX=LYX×B1+JHG×B2; LYX is the historical monthly sales volume of the current month, JHG is the material repurchase volume of the next quarter; B1 and B2 are weight coefficients.

7. A warehouse equipment control method for taking and placing dyed fabrics according to claim 1, characterized in that: The step S4 includes the following sub-steps: Step S41, obtaining the material type, material color and material batch of the dyed fabric; Step S42: Calculate the cotton storage priority MZY of the cotton dyed fabric. The calculation formula is as follows: MZY=YSX×C1+PXS×C2; where YSX is the color correction coefficient corresponding to different material colors, PXS is the batch correction coefficient corresponding to different material batches; C1 and C2 are fixed value weight coefficients; Step S43, similarly calculating and obtaining the silk storage priority of the silk dyed fabric and the chemical fiber storage priority of the chemical fiber dyed fabric; Step S44: storing the cotton dyed fabric materials, storing the cotton dyed fabric materials in the storage shelves corresponding to the cotton storage priority sequence in descending order of cotton storage priority; storing the silk dyed fabric materials in the storage shelves corresponding to the silk storage priority sequence in descending order of silk storage priority; and storing the chemical fiber dyed fabric materials in the storage shelves corresponding to the chemical fiber storage priority sequence in descending order of chemical fiber storage priority; Step S45: If the cotton dyed fabrics, silk dyed fabrics and chemical fiber dyed fabrics are stored on the same storage shelf, the material sales priority values of the corresponding dyed fabrics are obtained, and the dyed fabrics with larger material sales priority values are stored first, and the dyed fabrics with smaller material sales priority values are stored secondarily.

8. A warehouse equipment control method for taking and placing dyed fabrics according to claim 1, characterized in that: The step S5 includes the following sub-steps: Step S51: If the current date is less than one day from the order delivery date, obtain the material type and material quantity of the dyed fabric in the real-time order data; and read the material location coordinates of the dyed fabric of the corresponding material type; Step S52: Identify all the paths between the material outlet coordinates and the material location coordinates. The first path starting from the material outlet is recorded as a first-level sub-path. If it changes direction once, the subsequent path is recorded as a second-level sub-path. This process is repeated to obtain multiple groups of second-level to p-level sub-paths. Step S53: Divide the path length of any sub-path by the travel speed of the automated pickup rack to obtain the standard pickup time (BSC) for the corresponding sub-path; retrieve the five most recent actual travel times of the automated pickup rack on the corresponding sub-path from the database, and add and average the five actual travel times to obtain the average pickup time (PSC) for the corresponding travel path; Step S54: Calculate the congestion weight coefficient YQX of the corresponding sub-path using the formula. The specific calculation formula is: YQX=(PSC-BSC) / BSC; if the calculated YQX is a negative number, the value of YQX is recorded as 1.

9. A warehouse equipment control method for taking and placing dyed fabrics according to claim 8, characterized in that: The step S5 further includes the following sub-steps: Step S55, multiplying the initial weight of the sub-path by the congestion weight coefficient to obtain the actual weight of the corresponding sub-path; Step S56: Identify the path length from the first-level sub-path to the p-level sub-path, use the exit coordinates as the starting point, the material location coordinates as the end point, and the path length of the sub-path as the initial weight of the corresponding path to obtain a pickup connectivity graph during the automatic pickup shelf retrieval process; Step S57, using the bidirectional Dijkstra algorithm to identify the shortest path from the starting point to the end point, and record the shortest path as the object-retrieval path; In step S58, the automatic picking rack picks up items according to the picking path and sends the obtained dyed fabrics to the warehouse exit of the target warehouse for shipment.

10. A warehouse equipment control system for taking and placing dyed fabrics, characterized in that: The system includes a data acquisition module, a shelf analysis module, a material analysis module, a material storage module and an intelligent outbound module; The data acquisition module is used to collect material attribute information of the dyed and fabric materials in the target warehouse and the real-time environmental data of the target warehouse; and send the material attribute information of the dyed and fabric materials to the material storage module, and send the real-time environmental data of the target warehouse to the shelf analysis module; The shelf analysis module is used to analyze the real-time environmental data in the target warehouse, obtain the cotton storage priority sequence, silk storage priority sequence and chemical fiber storage priority sequence of multiple storage shelves in the target warehouse, and send the sequence to the material storage module; The material analysis module is used to analyze the historical sales data of dyed and woven materials of different material types, obtain the sales priority values of dyed and woven materials of different material types corresponding to each month and send them to the material storage module; The material storage module is used to intelligently store the dyed and fabric materials in the target warehouse according to the storage priority sequence corresponding to the storage shelves in the target warehouse and the sales priority value of the dyed and fabric materials, and send the storage location of the dyed and fabric materials to the intelligent outbound module; The intelligent outbound module is used to identify the shortest path to the corresponding dyed and woven materials based on the real-time order data of the dyed and woven materials, and outbound the dyed and woven materials through the shortest path.

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