A composite steel pipe production control system

Abstract

The application discloses a composite steel pipe production control system and relates to the technical field of intelligent manufacturing, which solves the technical problem of lack of management of a production machine of a composite steel pipe. A task acquisition module acquires task information and sends the task information to a task judgment module. The task judgment module receives the task information, predicts whether the task can be completed according to the task information, generates a plan making instruction when the task is predicted to be completed, and sends the plan making instruction to a plan making module. After receiving the plan making instruction, the plan making module acquires preset parameters according to a total task amount and a preset rule, sets the working efficiency and working days of the production machine according to the preset parameters, and controls the production machine to execute a work task according to the set working efficiency and working days. The application realizes reasonable selection and arrangement of the production machine and improves the overall working efficiency.

Description

Technical Field

[0001] This invention belongs to the field of intelligent manufacturing and relates to composite steel pipe production control technology, specifically a composite steel pipe production control system. Background Technology

[0002] Composite steel pipe is a type of pipe made of different materials, which can be combined to meet specific needs. Steel pipe serves as the main strength component, combined with other materials such as polymers and fiberglass, resulting in a pipe with high strength, durability, corrosion resistance, and wear resistance. Its excellent performance and reliable operation make it the preferred piping material for many industries.

[0003] The selection of machinery for producing composite steel pipes is usually done manually, lacking effective management measures. However, prolonged overload operation of these machines can lead to increased failure rates, shortened lifespans, and decreased production efficiency. Therefore, a composite steel pipe production control system is proposed. Summary of the Invention

[0004] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a composite steel pipe production control system, which solves the problem of lack of management of composite steel pipe production machines.

[0005] To achieve the above objectives, a composite steel pipe production control system is proposed according to an embodiment of the first aspect of the present invention, including a task acquisition module, a task judgment module, a planning module, and a task execution module;

[0006] The task acquisition module is used to acquire task information; wherein, the task information includes the total number of tasks P and the task duration X days;

[0007] And send the task information to the task judgment module;

[0008] The task judgment module is used to receive the task information and predict whether the task can be completed based on the task information.

[0009] And when the current task is predicted to be completed, the task judgment module generates a plan formulation instruction and sends the plan formulation instruction to the plan formulation module;

[0010] The planning module is used to receive the planning instruction and then obtain preset parameters based on the total task volume and preset rules.

[0011] And set the working efficiency and number of working days of the production machine according to the preset parameters;

[0012] The preset parameters include:

[0013] The general working efficiency is the total number of production machines A1 and the corresponding number of working days X1.

[0014] The total number of machines producing at standard working efficiency, A2, and the corresponding number of working days, X2;

[0015] The total number of machines producing at maximum efficiency is A3, and the corresponding number of working days is X3.

[0016] The task execution module is used to control the production machine to perform work tasks according to the set work efficiency and number of working days.

[0017] Preferably, the factory producing composite steel pipes has a total of A production machines, and the working efficiency of each production machine is z;

[0018] When the production machine operates at normal efficiency, z takes the value of 0.9.

[0019] When the production machine is operating at standard efficiency, z takes the value of 1.

[0020] When the production machine is operating at maximum efficiency, z takes the value of 1.2.

[0021] Preferably, the task judgment module predicts whether the current task can be completed based on the task information, including the following steps:

[0022] The task determination module receives the task information, calculates the maximum completion amount based on the task deadline in the task information, and marks the maximum completion amount as P. max ;

[0023] The formula for calculating the maximum completion amount is:

[0024] P max =zAX;

[0025] Where z takes the value 1.2;

[0026] The task judgment module compares the maximum completion amount with 1.1 times the total task amount;

[0027] If the maximum completion amount is less than 1.1 times the total task amount, the current task is predicted to be unfinished.

[0028] The task is predicted to be completed when the maximum completion amount is greater than or equal to 1.1 times the total task amount.

[0029] Preferably, the planning module obtains preset parameters based on the total task volume and preset rules, including the following steps:

[0030] The relationship between the preset parameters and the total task volume is expressed as follows:

[0031] 0.9A1X1 + A2X2 + 1.2A3X3 ≤ P

[0032] Where A1+A2+A3≤A, and X1, X2 and X3 are all less than or equal to X;

[0033] According to the preset rules, obtain the optimal solutions for A1, A2, A3, X1, X2, and X3.

[0034] Preferably, the preset rules include: within the task period, prioritizing general working efficiency as the working efficiency of the production machine, then selecting standard working efficiency as the working efficiency of the production machine, and finally selecting maximum working efficiency as the working efficiency of the production machine.

[0035] Preferably, the planning module sets the working efficiency and number of working days of the production machine according to the preset parameters, including the following steps:

[0036] The planning module obtains the work efficiency of each production machine in the factory in performing the previous task.

[0037] The production machines that did not perform their tasks in the last run are placed at the front, and the remaining production machines that have performed their tasks are arranged in order of work efficiency from low to high to obtain the production machine sequence.

[0038] Obtain A3 production machines from the 1st to the A3rd in the production machine sequence, set their working efficiency to the maximum working efficiency, and set the number of working days to X3;

[0039] Obtain the (A3+1)th to (A3+A2)th production machines in the production machine sequence, set their working efficiency to the standard working efficiency, and set the number of working days to X2;

[0040] Obtain the A1 production machines from (A3+A2) to (A3+A2+A1) in the production machine sequence, set their working efficiency to normal working efficiency, and set the number of working days to X1.

[0041] Preferably, the task acquisition module is communicatively and / or electrically connected to the task judgment module;

[0042] The task acquisition module communicates with and / or is electrically connected to the planning module.

[0043] The task judgment module communicates with and / or is electrically connected to the planning module.

[0044] The planning module communicates with and / or is electrically connected to the task execution module.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] This invention acquires task information through a task acquisition module and sends the task information to a task judgment module. The task judgment module receives the task information and predicts whether the task can be completed. When the task is predicted to be complete, the task judgment module generates a planning instruction and sends it to the planning module. Upon receiving the planning instruction, the planning module acquires preset parameters based on the total task volume and preset rules. It then sets the working efficiency and number of working days for the production machines according to the preset parameters. The task execution module controls the production machines to perform tasks based on the set working efficiency and number of working days. This achieves the rational selection and arrangement of production machines, improving overall work efficiency. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the present invention;

[0048] Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0049] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] like Figure 1-2 As shown, a composite steel pipe production control system includes a task acquisition module, a task judgment module, a planning module, and a task execution module; the modules interact with each other based on digital signals.

[0051] The task acquisition module is used to acquire task information; wherein, the task information includes the total number of tasks P and the task duration X days;

[0052] And send the task information to the task judgment module.

[0053] In this embodiment, there are A production machines in the factory that produces composite steel pipes, and the working efficiency of each production machine is z.

[0054] When the production machine operates at normal efficiency, z takes the value of 0.9.

[0055] When the production machine is operating at standard efficiency, z takes the value of 1.

[0056] When the production machine is operating at maximum efficiency, z takes the value of 1.2.

[0057] The task judgment module is used to receive the task information and determine whether the task can be completed based on the task information.

[0058] In this embodiment, the task judgment module determines whether the task can be completed based on the task information, including the following steps:

[0059] The task determination module receives the task information, calculates the maximum completion amount based on the task deadline in the task information, and marks the maximum completion amount as P. max It should be further noted that when calculating the maximum output, the working efficiency of the production machine is selected as the maximum working efficiency.

[0060] The formula for calculating the maximum completion amount is:

[0061] P max =zAX;

[0062] Where z takes the value 1.2;

[0063] The task judgment module compares the maximum completion amount with 1.1 times the total task amount. It should be further explained that the reason for not directly comparing it with the total task amount, but choosing to compare it with 1.1 times the total task amount, is that in the actual production process, some abnormal or special situations may occur, so some fault tolerance space is reserved to ensure task completion.

[0064] When the maximum completion amount is less than 1.1 times the total task amount, i.e., P max <1.1P, it is expected that the task cannot be completed. The task judgment module generates a task failure signal to the smart terminal of the person in charge of the task, notifying them that the task cannot be completed and that the task needs to be reassigned.

[0065] In this embodiment, the smart terminal includes smart devices such as smartphones and computers;

[0066] When the maximum completion amount is greater than or equal to 1.1 times the total task amount, i.e., P max If the target value is ≥1.1P, it is expected that the task can be completed on schedule. The task judgment module generates a plan formulation instruction and sends the plan formulation instruction to the plan formulation module.

[0067] The planning module is used to receive the planning instruction and then obtain preset parameters based on the total task volume and preset rules.

[0068] And set the working efficiency and number of working days of the production machine according to the preset parameters;

[0069] The preset parameters include:

[0070] The general working efficiency is the total number of production machines A1 and the corresponding number of working days X1.

[0071] The total number of machines producing at standard working efficiency, A2, and the corresponding number of working days, X2;

[0072] The total number of machines producing at maximum efficiency is A3, and the corresponding number of working days is X3.

[0073] In this embodiment, the planning module obtains preset parameters based on the total task volume and preset rules, including the following steps:

[0074] The relationship between the preset parameters and the total task volume is expressed as follows:

[0075] 0.9A1X1 + A2X2 + 1.2A3X3 ≤ P

[0076] Where A1+A2+A3≤A, and X1, X2 and X3 are all less than or equal to X;

[0077] According to the preset rules, obtain the optimal solutions for A1, A2, A3, X1, X2, and X3;

[0078] Specifically, the preset rules include: within the task period, prioritizing general work efficiency as the work efficiency of the production machine, then selecting standard work efficiency as the work efficiency of the production machine, and finally selecting maximum work efficiency as the work efficiency of the production machine.

[0079] In this embodiment, the planning module sets the working efficiency and number of working days of the production machine according to the preset parameters, including the following steps:

[0080] The planning module obtains the work efficiency of each production machine in the factory in performing the previous task.

[0081] The production machines that did not perform their tasks in the last run are placed at the front, and the remaining production machines that have performed their tasks are arranged in order of work efficiency from low to high to obtain the production machine sequence.

[0082] Obtain A3 production machines from the 1st to the A3rd in the production machine sequence, set their working efficiency to the maximum working efficiency, and set the number of working days to X3;

[0083] Obtain the (A3+1)th to (A3+A2)th production machines in the production machine sequence, set their working efficiency to the standard working efficiency, and set the number of working days to X2;

[0084] Obtain the A1 production machines from (A3+A2) to (A3+A2+A1) in the production machine sequence, set their working efficiency to normal working efficiency, and set the number of working days to X1.

[0085] The task execution module is used to control the production machine to perform work tasks according to the set work efficiency and number of working days.

[0086] In this embodiment, the task acquisition module is communicatively and / or electrically connected to the task judgment module;

[0087] The task acquisition module communicates with and / or is electrically connected to the planning module.

[0088] The task judgment module communicates with and / or is electrically connected to the planning module.

[0089] The planning module communicates with and / or is electrically connected to the task execution module.

[0090] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.

[0091] Working principle of the invention:

[0092] The task acquisition module obtains the total number of tasks P and the task duration X days; and sends the task information to the task judgment module.

[0093] The task judgment module receives task information and calculates the maximum completion amount based on the task deadline in the task information; the task judgment module compares the maximum completion amount with 1.1 times the total task amount.

[0094] When the maximum completion amount is less than 1.1 times the total task amount, it is expected that the task cannot be completed. The task judgment module generates a task failure signal and sends it to the smart terminal of the person in charge of the task, notifying them that the task cannot be completed and that the work needs to be reassigned.

[0095] When the maximum completion amount is greater than or equal to 1.1 times the total task amount, it is expected that the task can be completed on schedule. The task judgment module generates a plan formulation instruction and sends the plan formulation instruction to the plan formulation module.

[0096] After receiving the planning instruction, the planning module obtains preset parameters based on the total task volume and preset rules;

[0097] The planning module obtains the work efficiency of each production machine in the factory for the last task; it then places the production machines that did not perform the last task at the front, and arranges the remaining production machines that performed the task in order of work efficiency from low to high, thus obtaining the production machine sequence.

[0098] Get the A3 production machines from the 1st to the A3rd in the production machine sequence, set their working efficiency to the maximum working efficiency, and set the number of working days to X3;

[0099] Get the A2 production machines from (A3+1) to (A3+A2) in the production machine sequence, set their working efficiency to the standard working efficiency, and set the number of working days to X2;

[0100] Get the A1 production machines from (A3+A2) to (A3+A2+A1) in the production machine sequence, set their working efficiency to normal working efficiency, and set the number of working days to X1.

[0101] The task execution module controls the production machines to perform work tasks based on the set work efficiency and number of working days.

[0102] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A composite steel pipe production control system, characterized in that, It includes a task acquisition module, a task judgment module, a planning module, and a task execution module; The task acquisition module is used to acquire task information; wherein, the task information includes the total number of tasks P and the task duration X days; And send the task information to the task judgment module; The task judgment module is used to receive the task information and predict whether the task can be completed based on the task information. And when the current task is predicted to be completed, the task judgment module generates a plan formulation instruction and sends the plan formulation instruction to the plan formulation module; The planning module is used to receive the planning instruction and then obtain preset parameters based on the total task volume and preset rules. And set the working efficiency and number of working days of the production machine according to the preset parameters; The preset parameters include: The general working efficiency is the total number of production machines A1 and the corresponding number of working days X1. The total number of machines producing at standard working efficiency, A2, and the corresponding number of working days, X2; The total number of machines producing at maximum efficiency is A3, and the corresponding number of working days is X3. The task execution module is used to control the production machine to perform work tasks according to the set work efficiency and number of working days. The planning module obtains preset parameters based on the total task volume and preset rules, including the following steps: The relationship between the preset parameters and the total task volume is expressed as follows: 0.9A1X1 + A2X2 + 1.2A3X3 ≤ P Where A1+A2+A3≤A, and X1, X2 and X3 are all less than or equal to X; According to the preset rules, obtain the optimal solutions for A1, A2, A3, X1, X2, and X3; The preset rules include: within the task period, priority is given to selecting general working efficiency as the working efficiency of the production machine, followed by standard working efficiency, and finally maximum working efficiency.

2. The composite steel pipe production control system according to claim 1, characterized in that, There are A production machines in the factory that produces composite steel pipes, and the working efficiency of each production machine is z. When the production machine operates at normal efficiency, z takes the value of 0.

9. When the production machine is operating at standard efficiency, z takes the value of 1. When the production machine is operating at maximum efficiency, z takes the value of 1.

2.

3. The composite steel pipe production control system according to claim 2, characterized in that, The task judgment module predicts whether the task can be completed based on the task information, including the following steps: The task determination module receives the task information, calculates the maximum completion amount based on the task deadline in the task information, and marks the maximum completion amount as P. max ; The formula for calculating the maximum completion amount is: P max =zAX; Where z takes the value 1.2; The task judgment module compares the maximum completion amount with 1.1 times the total task amount; If the maximum completion amount is less than 1.1 times the total task amount, the current task is predicted to be unfinished. The task is predicted to be completed when the maximum completion amount is greater than or equal to 1.1 times the total task amount.

4. The composite steel pipe production control system according to claim 1, characterized in that, The planning module sets the working efficiency and number of working days of the production machine according to the preset parameters, including the following steps: The planning module obtains the work efficiency of each production machine in the factory in performing the previous task. The production machines that did not perform their tasks in the last run are placed at the front, and the remaining production machines that have performed their tasks are arranged in order of work efficiency from low to high to obtain the production machine sequence. Obtain A3 production machines from the 1st to the A3rd in the production machine sequence, set their working efficiency to the maximum working efficiency, and set the number of working days to X3; Obtain the A2 production machines from (A3+1) to (A3+A2) in the production machine sequence, set their working efficiency to the standard working efficiency, and set the number of working days to X2; Obtain the A1 production machines from (A3+A2) to (A3+A2+A1) in the production machine sequence, set their working efficiency to normal working efficiency, and set the number of working days to X1.

5. A composite steel pipe production control system according to claim 1, characterized in that, The task acquisition module is communicatively and / or electrically connected to the task judgment module; The task acquisition module communicates with and / or is electrically connected to the planning module. The task judgment module communicates with and / or is electrically connected to the planning module. The planning module communicates with and / or is electrically connected to the task execution module.

Images