Material scheduling method for production workshop

Abstract

The invention relates to the technical field of production management, in particular to a material scheduling method for a production workshop, and the method comprises the steps: obtaining scheduling information according to a material production task; the scheduling information comprises a total scheduling amount, material position data and destination position data; obtaining a pre-target AGV trolley according to the equipment state of the AGV trolley; according to the electric quantity and the bearing capacity of a pre-target AGV trolley, the scheduling information is combined, and the target AGV trolley is comprehensively judged and acquired; and controlling the target AGV to perform material scheduling. Through the scheduling method, the problem of low execution efficiency can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to a material scheduling method for a production workshop. Background Art

[0002] Material scheduling is an important technology in modern manufacturing and logistics, which involves the management and optimization of material demand, inventory, transportation and distribution. With the expansion of production scale and the intensification of market competition, the importance of material scheduling has become increasingly prominent.

[0003] Traditional material scheduling methods are often inefficient, error-prone, and cannot meet the needs of modern manufacturing. Traditional assembly station material scheduling methods require manual operation, which is not only costly but also error-prone, increasing production risks. In the material scheduling process, accurate positioning technology is the key to ensuring scheduling accuracy and efficiency.

[0004] In the prior art, a Chinese invention patent document with publication number CN113762597A and publication date December 7, 2021 was proposed to solve the above-mentioned technical problems. The technical solution disclosed in the patent document is as follows: an intelligent AGV scheduling system and method based on cloud platform management, the method comprising: using a grid map method to model the material transportation and processing scenarios within the factory; the cloud platform receives the status information of the CNC and AGV and stores the response in the form of a data table; using the row coordinate X as the foreign key to extract the operating status of each CNC and AGV on each row to form a new data table; selecting the CNC and AGV operating status that meets the standards, recording the demand signal issued by the CNC and responding; the response rules are a composite path dynamic scheduling strategy and a priority principle, and the AGV moves to the corresponding CNC coordinate position that issues the demand according to the rules to transfer materials.

[0005] The scheduling strategy of the above technical solution is more about sequentially sorting and selecting single factors, and the efficiency of task execution is low. Summary of the invention

[0006] In order to solve the above technical problems, the present invention proposes a material scheduling method for a production workshop, which can effectively solve the problem of low execution efficiency.

[0007] The present invention is achieved by adopting the following technical solutions:

[0008] A material scheduling method for a production workshop comprises the following steps:

[0009] Step S1. Obtain scheduling information according to the material production task; the scheduling information includes the total scheduling amount, material location data and destination location data;

[0010] Step S2. Obtain the pre-target AGV according to the device status of the AGV;

[0011] Step S3. According to the power and carrying capacity of the pre-target AGV, combined with the scheduling information, comprehensively judge and obtain the target AGV;

[0012] Step S4: Control the target AGV to perform material dispatching.

[0013] The step S3 specifically comprises the following steps:

[0014] Step S 31 .Data acquisition, including obtaining the distance Gn between the pre-target AGV and the material, the power Dn of the pre-target AGV, and the carrying capacity Cn of the pre-target AGV;

[0015] Step S 32 . Calculate the target coefficient Pn of each pre-target AGV:

[0016] Pn=αGn+βDn+γCn

[0017] Where α, β and γ are the correction coefficients of distance, power and load, respectively, and are all real numbers greater than 0;

[0018] Step S 33. The pre-target AGV corresponding to the largest target coefficient Pn is selected as the target AGV.

[0019] The method for obtaining the distance Gn between the pre-target AGV trolley and the material includes: establishing a two-dimensional model of the production workshop and establishing a rectangular coordinate system in the two-dimensional model; obtaining the material position data in the scheduling information, and obtaining the material coordinates according to the material position data; obtaining the position data of the pre-target AGV trolley, and obtaining the position coordinates of the pre-target AGV trolley according to the position data; calculating the distance Gn between the position coordinates of the pre-target AGV trolley and the material coordinates.

[0020] The method for establishing the two-dimensional model of the production workshop is: obtaining the design drawings of the production workshop, and establishing the two-dimensional model of the production workshop according to the design drawings.

[0021] The step S 33 It also includes sorting the target coefficients Pn according to size.

[0022] The step S2 specifically refers to: obtaining the equipment status of the AGV in the production workshop, the equipment status including idle state, working state and charging state; marking the AGV in the idle state as the pre-target AGV and numbering it; marking the number of the pre-target AGV as n, where the value of n is 1, 2, ... N, N is an integer greater than or equal to 0, and N is the total number of pre-target AGVs.

[0023] The step S4 specifically includes: setting the device state of the target AGV trolley to the working state, and after the target AGV trolley moves to the material position according to the material coordinates, loading the material according to the scheduled total amount; and transporting the material to the destination position according to the destination position data; after the transportation is completed, setting the device state to the idle state.

[0024] According to the position data of the AGV and the two-dimensional model of the production workshop, the position and equipment status of the AGV are displayed on the two-dimensional model, and different colors are used to distinguish the equipment status of the AGV.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0026] 1. The present invention dispatches materials through the AGV trolley, which can automatically navigate to the designated material location, reducing the time for manual handling and searching of materials, avoiding the misplacement or mistaking of materials due to human factors, and improving the accuracy of material dispatch. This dispatching method can independently complete the handling and dispatching of materials, reducing dependence on manual labor and reducing the labor cost of the enterprise.

[0027] The present invention selects the AGV car based on a comprehensive judgment based on multiple factors and in combination with the scheduling information, thereby improving the efficiency of task execution.

[0028] 2. In the present invention, the target coefficient of each AGV is calculated by combining multiple factors to quantify the AGV. Moreover, through the calculation method of the target coefficient, the scheduling strategy can be flexibly adjusted according to the changes in production demand to meet the needs of different material scheduling.

[0029] 3. In the present invention, by sorting the target coefficients Pn, the corresponding AGV can be selected faster and more accurately. DETAILED DESCRIPTION

[0030] Example 1

[0031] As a basic implementation mode of the present invention, the present invention includes a material scheduling method for a production workshop, comprising the following steps:

[0032] Step S1. Obtain scheduling information according to the material production task, wherein the scheduling information includes the total scheduling amount, material location data and destination location data.

[0033] Step S2: Obtain the pre-target AGV according to the device status of the AGV.

[0034] Step S3: Based on the power and carrying capacity of the pre-target AGV and the scheduling information, a comprehensive judgment is made to obtain the target AGV.

[0035] Step S4: Control the target AGV to perform material dispatching.

[0036] Example 2

[0037] As a preferred embodiment of the present invention, the present invention includes a material scheduling method for a production workshop, comprising the following steps:

[0038] Step S1. Obtain scheduling information according to the material production task, wherein the scheduling information includes the total scheduling amount, material location data and destination location data.

[0039] Step S2: Obtain the pre-target AGV according to the device status of the AGV.

[0040] Step S3. According to the power and carrying capacity of the pre-target AGV, combined with the scheduling information, comprehensively judge and obtain the target AGV. Specifically, it includes the following steps:

[0041] Step S 31. Data acquisition: Obtain the distance Gn between the pre-target AGV and the material, the power Dn of the pre-target AGV, and the carrying capacity Cn of the pre-target AGV.

[0042] Step S 32. Calculate the target coefficient Pn of each pre-target AGV:

[0043] Pn=αGn+βDn+γCn

[0044] Where α, β and γ are correction coefficients for distance, power and carrying capacity, respectively, and are all real numbers greater than 0.

[0045] Step S 33. The pre-target AGV corresponding to the largest target coefficient Pn is selected as the target AGV.

[0046] Step S4: Control the target AGV to perform material dispatching.

[0047] Example 3

[0048] As another preferred embodiment of the present invention, the present invention includes a material scheduling method for a production workshop, comprising the following steps:

[0049] Step S1. Obtain scheduling information according to the material production task, wherein the scheduling information includes the total scheduling amount, material location data and destination location data.

[0050] Step S2. Obtain the pre-target AGV trolley according to the device status of the AGV trolley. Specifically, obtain the device status of the AGV trolley in the production workshop. The device status includes idle state, working state and charging state. Mark the AGV trolley in the idle state as the pre-target AGV trolley and number it. Mark the number of the pre-target AGV trolley as n, where the value of n is 1, 2, ... N, where N is an integer greater than or equal to 0, and N is the total number of pre-target AGV trolleys.

[0051] Step S3: Based on the power and carrying capacity of the pre-target AGV and the scheduling information, a comprehensive judgment is made to obtain the target AGV.

[0052] Step S4: Control the target AGV to perform material dispatching.

[0053] Example 4

[0054] As the best embodiment of the present invention, the present invention includes a material scheduling method for a production workshop, comprising the following steps:

[0055] Step S1. Obtain scheduling information based on the issued material production tasks.

[0056] The sending of the material production task indicates that the current material production task is about to enter the material preparation process. The administrator can fill in the material production task through the smart terminal. It should be further explained that the smart terminal includes devices such as smart phones and computers. The scheduling information includes the total scheduling amount, material location data, and destination location data.

[0057] Step S2: Obtain the pre-target AGV according to the device status of the AGV.

[0058] Specifically, obtain the AGVs in the production workshop whose equipment status is idle, including idle, working and charging. Mark the AGVs in the idle state as pre-target AGVs and number them; mark the pre-target AGVs with numbers n, where n is 1, 2, ... N, an integer greater than or equal to 0, and N is the total number of pre-target AGVs.

[0059] The AGV includes a positioning device, which needs to be further explained to include GPS positioning navigation.

[0060] Step S3. According to the power and carrying capacity of the pre-target AGV, combined with the scheduling information, comprehensively judge and obtain the target AGV. Specifically, it includes the following steps:

[0061] Step S 31. Data acquisition includes acquiring the distance Gn between the pre-target AGV and the material, the power Dn of the pre-target AGV, and the carrying capacity Cn of the pre-target AGV. The method for acquiring the distance Gn between the pre-target AGV and the material includes:

[0062] A two-dimensional model of the production workshop is established, and a rectangular coordinate system is established in the two-dimensional model. The method for establishing the two-dimensional model of the production workshop is as follows: obtaining the design drawings of the production workshop, the design drawings including the shape, structure and size of the production workshop, etc.; and establishing the two-dimensional model of the production workshop according to the design drawings. It should be noted that most production workshops are designed as regular rectangles, with one corner of the production workshop as the origin of the coordinate system, the length of the production workshop as the horizontal axis of the coordinate system, and the width of the production workshop as the vertical axis of the coordinate system.

[0063] The material location data in the scheduling information is obtained, and the material coordinates are obtained according to the material location data.

[0064] The position data of the pre-target AGV car is obtained, and the position coordinates of the pre-target AGV car are obtained according to the position data.

[0065] Calculate the distance Gn between the position coordinates of the pre-target AGV and the material coordinates.

[0066] Step S 32. Calculate the target coefficient Pn of each pre-target AGV:

[0067] Pn=αGn+βDn+γCn

[0068] Wherein, α, β and γ are correction coefficients of distance, power and carrying capacity respectively, and are all real numbers greater than 0. The correction coefficients can be set according to actual conditions or obtained through a large amount of data simulation.

[0069] Step S 33 . Sort the target coefficients Pn by size. Specifically, the target coefficients Pn can be sorted in descending order, the first item of the sequence is obtained, and the pre-target AGV corresponding to the first item is marked as the target AGV.

[0070] In this embodiment, the position data of the AGV cart is obtained, and the position and equipment status of the AGV cart are displayed on the two-dimensional model based on the position data and the two-dimensional model of the production workshop, and the equipment status is distinguished by different colors. It should be noted that the AGV cart is in working state from the time it receives the scheduling instruction until the entire process of completing the scheduling task. The AGV cart in working state can be represented by green; the state in which the AGV cart does not receive the scheduling instruction is idle state, and the AGV cart in idle state can be represented by red; the state in which the AGV cart cannot work normally is charging state, and the AGV cart in charging state can be represented by yellow. Different colors are used to distinguish AGV carts with different equipment states, so that the administrator can view the status of the AGV cart more clearly;

[0071] Step S4. Control the target AGV to dispatch materials. Set the device state of the target AGV to the working state. After the target AGV moves to the material position according to the material coordinates, it loads the material according to the dispatched total amount; and transports the material to the destination position according to the destination position data; after the transportation is completed, set the device state to the idle state.

[0072] This scheduling method also includes monitoring the equipment status of the AGV, analyzing the battery usage, and providing maintenance reminders. It should be noted that the battery management module is set up because the movement of the AGV needs to be maintained by electricity. Once there is insufficient power or battery damage, the working efficiency of the AGV will be affected.

[0073] In summary, after reading the present invention document, ordinary technicians in this field can make various other corresponding transformation schemes based on the technical scheme and technical concept of the present invention without creative mental labor, which all fall within the scope of protection of the present invention.

Claims

1. A material scheduling method for a production workshop, characterized in that: The following steps are involved: Step S1. Obtain scheduling information according to the material production task; the scheduling information includes the total scheduling amount, material location data and destination location data; Step S2. Obtain the pre-target AGV according to the device status of the AGV; Step S3. According to the power and carrying capacity of the pre-target AGV, combined with the scheduling information, comprehensively judge and obtain the target AGV; Step S4: Control the target AGV to perform material dispatching.

2. A material scheduling method for a production workshop according to claim 1, characterized in that: The step S3 specifically comprises the following steps: Step S 31 .Data acquisition, including obtaining the distance Gn between the pre-target AGV and the material, the power Dn of the pre-target AGV, and the carrying capacity Cn of the pre-target AGV; Step S 32 . Calculate the target coefficient Pn of each pre-target AGV: Pn=αGn+βDn+γCn Where α, β and γ are the correction coefficients of distance, power and load, respectively, and are all real numbers greater than 0; Step S 33 .Select the pre-target AGV car corresponding to the largest target coefficient Pn as the target AGV car.

3. A material scheduling method for a production workshop according to claim 2, characterized in that: The method for obtaining the distance Gn between the pre-target AGV trolley and the material includes: establishing a two-dimensional model of the production workshop and establishing a rectangular coordinate system in the two-dimensional model; obtaining the material position data in the scheduling information, and obtaining the material coordinates according to the material position data; obtaining the position data of the pre-target AGV trolley, and obtaining the position coordinates of the pre-target AGV trolley according to the position data; calculating the distance Gn between the position coordinates of the pre-target AGV trolley and the material coordinates.

4. A material scheduling method for a production workshop according to claim 3, characterized in that: The method for establishing the two-dimensional model of the production workshop is: obtaining the design drawings of the production workshop, and establishing the two-dimensional model of the production workshop according to the design drawings.

5. A material scheduling method for a production workshop according to claim 2, characterized in that: The step S 33 It also includes sorting the target coefficients Pn according to size.

6. A material scheduling method for a production workshop according to claim 3, characterized in that: The step S2 specifically refers to: obtaining the equipment status of the AGV in the production workshop, the equipment status including idle state, working state and charging state; marking the AGV in the idle state as the pre-target AGV and numbering it; marking the number of the pre-target AGV as n, where the value of n is 1, 2, ... N, N is an integer greater than or equal to 0, and N is the total number of pre-target AGVs.

7. A material scheduling method for a production workshop according to claim 6, characterized in that: The step S4 specifically includes: setting the device state of the target AGV trolley to the working state, and after the target AGV trolley moves to the material position according to the material coordinates, loading the material according to the scheduled total amount; and transporting the material to the destination position according to the destination position data; after the transportation is completed, setting the device state to the idle state.

8. A material scheduling method for a production workshop according to claim 6, characterized in that: According to the position data of the AGV and the two-dimensional model of the production workshop, the position and equipment status of the AGV are displayed on the two-dimensional model, and different colors are used to distinguish the equipment status of the AGV.