Intelligent scheduling system and method for brake disc production line

Abstract

The present invention belongs to the technical field of brake disc production line optimization, and specifically relates to an intelligent scheduling system and method for a brake disc production line. The invention can evaluate the connection status of each production process through real-time monitoring of each production process. For the production process in the normal connection state, its production is smooth, and after its output meets the demand redundancy, it can be used as an allowable replacement process to support the replaceable abnormal production process to operate, thereby ensuring the normal connection of each production process. Under the state, the uninterrupted operation of the production line can be achieved. For the production process in the abnormal connection state, the abnormal production process can be discovered and output in time, and the allowable replacement process can be scheduled according to the production deviation and the demand redundancy, so that each production process can be quickly restored to the normal connection state, ensuring the smooth execution of the production plan.

Description

Technical Field

[0001] The present invention belongs to the technical field of brake disc production line optimization, and in particular relates to an intelligent scheduling system and method for a brake disc production line. Background Art

[0002] With the rapid development of the automobile industry, brake discs are an important part of the automobile safety system, and their production efficiency and quality directly affect the safety performance of the car. Traditional brake disc production line scheduling methods mostly rely on manual experience, which is difficult to adapt to complex and changing production needs, resulting in low production efficiency and serious waste of resources. Therefore, it is particularly important to study intelligent systems that can automatically optimize scheduling.

[0003] In the prior art, the scheduling method used in the brake disc production line cannot respond to emergencies on the production line in real time when applied, lacks the ability to deeply analyze and predict production data, and often performs emergency inventory scheduling when the production process cannot be connected, which obviously increases production costs and cannot guarantee the continuity and stability of the production process, which will undoubtedly interfere with the predetermined production plan. Based on this, the present invention proposes an intelligent scheduling method for a brake disc production line to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent scheduling system and method for a brake disc production line, which can automatically optimize production scheduling according to real-time data in the production process, improve production efficiency, reduce resource waste, and ensure the continuity and stability of the production process.

[0005] The technical solution adopted by the present invention is as follows:

[0006] An intelligent scheduling method for a brake disc production line, comprising:

[0007] Obtaining production data of each production process of a brake disc production line, wherein the production data includes the number of finished products, the number of semi-finished products, and the production speed;

[0008] According to the production data of each production process, the connection status of adjacent production processes is evaluated, wherein the connection status includes a normal connection status and an abnormal connection status;

[0009] Under the normal connection state, the redundant output of each production process is counted, and the allowable scheduling amount of each production process is determined according to the redundant output;

[0010] In the abnormal connection state, the abnormal production process and the production deviation of the abnormal production process are output, and the demand adjustment amount of the abnormal production process is determined according to the production deviation;

[0011] The allowable replacement process is obtained, and the allowable replacement process is intelligently scheduled according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status.

[0012] In a preferred embodiment, after obtaining the production data of each production process of the brake disc production line, the production data is preprocessed, and the preprocessing includes: data cleaning, eliminating noise and abnormal values;

[0013] Adding a timestamp to the preprocessed production data to determine a time feature of the production data;

[0014] The production data with the timestamp added is aggregated into a preset data repository.

[0015] In a preferred embodiment, the step of evaluating the connection status of adjacent production processes based on the production data of each production process includes:

[0016] Constructing a monitoring period, and setting a plurality of sample periods with equal time intervals within the monitoring period;

[0017] Setting a plurality of sampling nodes within the sample period, and counting the production speed of the production process under each of the sampling nodes;

[0018] Marking the adjacent production processes as pre-processes and post-processes respectively according to the production process;

[0019] Comparing the production speeds of the preceding process and the following process in a sample period, and outputting the production speed difference between the preceding process and the following process in the sample period;

[0020] When the value of the production speed difference is positive, it indicates that the production speed of the preceding process is lower than the production speed of the succeeding process, and the connection state of the adjacent production processes is recorded as an abnormal connection state;

[0021] When the value of the production speed difference is negative or zero, it indicates that the production speed of the preceding process is greater than or equal to the production speed, and the connection state of the adjacent production processes is recorded as a normal connection state.

[0022] In a preferred solution, when counting the redundant output of each of the production processes, the number of finished products of each production process under the normal connection state is collected and recorded as a reference parameter;

[0023] Collecting unit production differences of adjacent production processes under the normal connection state;

[0024] A first calculation function is obtained, and the reference parameter and the unit production difference are input into the first calculation function, and an output result of the first calculation function is recorded as redundant production.

[0025] In a preferred embodiment, the step of determining the allowable scheduling amount of each production process according to the redundant output includes:

[0026] Obtaining the demand redundancy between adjacent production processes in the normal connection state;

[0027] comparing the demand surplus and the surplus output;

[0028] When the redundant production is greater than the required redundant amount, the allowable scheduling amount is set to the difference between the redundant production and the required redundant amount;

[0029] When the redundant output is less than the required redundant amount, the allowable scheduling amount is set to the entire redundant output, and the required time for the redundant output to meet the required redundant amount is determined based on the unit production difference.

[0030] In a preferred embodiment, the step of determining the required time for the redundant output to meet the required redundant output according to the unit production difference includes:

[0031] Obtaining the unit production difference between adjacent production processes;

[0032] Obtaining the difference between the required redundant quantity and the redundant output in the adjacent production process, and recording it as the output to be supplemented;

[0033] A second calculation function is obtained, and the output to be replenished and the unit production difference are input into the second calculation function together, and the output result of the second calculation function is recorded as the demand duration.

[0034] In a preferred embodiment, the step of determining the required adjustment amount of the abnormal production process according to the production deviation amount includes:

[0035] Obtaining the production deviation amount of the abnormal production process in the abnormal connection state;

[0036] Obtaining the demand redundancy of the abnormal production process;

[0037] The demand redundancy and production deviation of the abnormal production process are summed, and the sum result is recorded as the demand adjustment amount of the abnormal production process.

[0038] In a preferred embodiment, the step of intelligently scheduling the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount includes:

[0039] Acquire an allowable replacement process corresponding to the abnormal production process and whose connection state is a normal connection state;

[0040] Collect the unit production difference corresponding to the allowable replacement process under the normal connection state, and record it as the first condition parameter;

[0041] Collecting the unit production difference of the abnormal production process and recording it as the second condition parameter;

[0042] Obtain a prediction function, input the first condition parameter and the second condition parameter into the prediction function, and record the output result of the prediction function as the predicted scheduling duration;

[0043] The allowable replacement process is scheduled according to the predicted scheduling time until the abnormal production process reaches a normal connection state.

[0044] The present invention also provides an intelligent scheduling system for a brake disc production line, using the above-mentioned intelligent scheduling method for a brake disc production line, comprising:

[0045] A data acquisition module, the data acquisition module is used to acquire production data of each production process of the brake disc production line, the production data including the number of finished products, the number of semi-finished products and the production speed;

[0046] A status evaluation module, the status evaluation module is used to evaluate the connection status of adjacent production processes according to the production data of each production process, wherein the connection status includes a normal connection status and an abnormal connection status;

[0047] A normal execution module, wherein the normal execution module is used to count the redundant output of each of the production processes in the normal connection state, and determine the allowable scheduling amount of each production process according to the redundant output;

[0048] An abnormal execution module, which is used to output an abnormal production process and a production deviation of the abnormal production process in the abnormal connection state, and determine a demand adjustment amount of the abnormal production process according to the production deviation;

[0049] An intelligent scheduling module is used to obtain the allowable replacement process and intelligently schedule the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status.

[0050] And, an intelligent scheduling device for a brake disc production line, comprising:

[0051] at least one processor;

[0052] and a memory communicatively coupled to the at least one processor;

[0053] Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned intelligent scheduling method for the brake disc production line.

[0054] The technical effects achieved by the present invention are:

[0055] The present invention can evaluate the connection status of each production process through real-time monitoring of each production process. For the production process in the normal connection status, the production is smooth, and after its output meets the demand redundancy, it can be used as an allowable replacement process to support the replaceable abnormal production process to operate, thereby ensuring the normal connection of each production process. Uninterrupted operation of the production line can be achieved. For the production process in the abnormal connection status, the abnormal production process can be discovered and output in time, and the allowable replacement process is scheduled according to the production deviation and the demand redundancy, so that each production process can be quickly restored to the normal connection state, thereby ensuring the smooth execution of the production plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic flow chart of the method of the present invention;

[0057] Figure 2 It is a schematic diagram of the system module of the present invention;

[0058] Figure 3 It is a schematic diagram of the structure of the intelligent scheduling device of the present invention. DETAILED DESCRIPTION

[0059] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0060] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0061] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0062] See also Figure 1As shown, the present invention provides an intelligent scheduling method for a brake disc production line, comprising:

[0063] S1. Obtaining production data of each production process of the brake disc production line, the production data including the number of finished products, the number of semi-finished products and the production speed;

[0064] S2. Evaluate the connection status of adjacent production processes based on the production data of each production process, wherein the connection status includes a normal connection status and an abnormal connection status;

[0065] S3. Under normal connection status, the redundant output of each production process is counted, and the allowable scheduling quantity of each production process is determined according to the redundant output;

[0066] S4. In the abnormal connection state, output the abnormal production process and the production deviation of the abnormal production process, and determine the demand adjustment amount of the abnormal production process according to the production deviation;

[0067] S5. Obtain the allowable replacement process, and intelligently schedule the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status.

[0068] As described in the above steps S1-S5, in today's highly automated industrial production environment, the efficiency and stability of the brake disc production line have become key factors in the competitiveness of an enterprise. In order to further improve the operating efficiency of the production line and effectively deal with possible production bottlenecks, this embodiment proposes an intelligent scheduling method for a brake disc production line. In this embodiment, it is first necessary to collect production data of each production process under the brake disc production line. The production data includes but is not limited to key indicators such as the number of finished products, the number of semi-finished products, and the production speed. Then, based on the obtained production data, the connection status between adjacent production processes is evaluated and processed accordingly to determine the connection status between adjacent production processes. This embodiment subdivides the connection status into a normal connection status and an abnormal connection status. In the normal connection status, smooth material flow and production capacity matching are maintained between the various processes of the production line, while the abnormal connection status may be caused by a variety of factors, such as equipment failure, material shortage or production speed mismatch. In the abnormal connection status, not only the information of the abnormal production process is simply output, but also the abnormal connection status is obtained. The production deviation is quantified in one step, which provides a clear goal and direction for subsequent scheduling adjustments. For example, if the production speed of a certain process lags significantly behind the upstream process, the production deviation can be calculated to accurately assess the output that needs to be increased in the process. Under normal connection conditions, statistical methods are used to analyze the redundant output of each process, that is, the additional output that exceeds the demand of the downstream process. Based on the redundant output, the allowable scheduling volume of each production process is determined to achieve optimal allocation of production resources. For example, if a process has a large amount of redundant output, it can be considered to allocate part of its production capacity to other more tense processes or transfer it to inventory for subsequent use. Under abnormal connection conditions, the demand adjustment volume of the abnormal production process is determined based on the production deviation volume. The demand adjustment volume not only takes into account the current production deviation, but also comprehensively considers the inventory that needs to be retained in the production plan. Subsequently, the information of the allowable replacement process will be obtained, and the allowable replacement process will be intelligently scheduled based on the allowable scheduling volume and the demand adjustment volume until the connection status of each production process is converted to a normal connection status.

[0069] In a preferred embodiment, after obtaining the production data of each production process under the brake disc production line, the production data is preprocessed, and the preprocessing includes: data cleaning, eliminating noise and outliers;

[0070] Adding timestamps to the preprocessed production data to determine the time characteristics of the production data;

[0071] Aggregate production data with timestamps into a pre-set data repository.

[0072] In this embodiment, after a large amount of raw data is obtained, it needs to be preprocessed to eliminate useless or erroneous information and retain valuable data. Specifically, data cleaning includes removing duplicates, unifying formats, etc., and eliminating noise by filtering, smoothing and other technical means to reduce random errors. At the same time, it is also necessary to add a timestamp to the preprocessed production data to locate the time point when each set of production data is generated, so that the fluctuations and changes in the production process can be clearly seen. For example, by comparing production data in different time periods, it can be found that some production processes are less efficient in a specific period of time, so that targeted measures can be taken to optimize them. The production data after preprocessing and adding a timestamp will eventually be summarized in a preset data repository to facilitate subsequent analysis and scheduling decisions.

[0073] In a preferred embodiment, the step of evaluating the connection status of adjacent production processes based on the production data of each production process includes:

[0074] S201, constructing a monitoring period, and setting a plurality of sample periods with equal time intervals within the monitoring period;

[0075] S202, setting a plurality of sampling nodes within a sample period, and counting the production speed of the production process under each sampling node;

[0076] S203, marking adjacent production processes as pre-processes and post-processes according to the production process;

[0077] S204, comparing the production speeds of the preceding process and the following process in the sample period, and outputting the production speed difference between the preceding process and the following process in the sample period;

[0078] When the value of the production speed difference is positive, it indicates that the production speed of the preceding process is lower than that of the succeeding process, and the connection state of the adjacent production processes is recorded as an abnormal connection state;

[0079] When the value of the production speed difference is negative or zero, it indicates that the production speed of the preceding process is greater than or equal to the production speed, and the connection status of adjacent production processes is recorded as a normal connection status.

[0080] As described in the above steps S201-S204, after the production data statistics are completed, it is first necessary to set a monitoring period in order to capture the production data therein. Within the monitoring period, multiple sample periods with equal time intervals are further set. The selection of the sample period needs to be determined according to the actual situation of the production process. Specifically, the production process data under each sampling node can be collected in real time through sensors, barcode scanners and other automated equipment, and the production speed of each production process can be counted. For example, on the production line, multiple sampling nodes can be set to monitor the production speed of key processes such as stamping, welding, and painting for subsequent comparative analysis. Then, according to the logical relationship of the production process, adjacent production processes need to be calibrated as pre-processes and post-processes respectively. The pre-process refers to the process that precedes a certain process in the production process, while the post-process is the process that is performed subsequently, so as to distinguish the production process. The adjacent production processes in the process provide a basis for subsequent comparison processing. After the preceding process and the following process are determined, it is necessary to compare their production speeds within the sample period and calculate the production speed difference between the preceding process and the following process. The production speed difference reflects the relative speed of the production speeds between adjacent production processes. When the value of the production speed difference is positive, it indicates that the production speed of the preceding process is lower than that of the following process. In this case, there may be a problem of insufficient product supply, which will lead to paralysis of subsequent processes. Therefore, the connection status of adjacent production processes is recorded as an abnormal connection status. On the contrary, when the value of the production speed difference is negative or zero, it indicates that the production speed of the preceding process is lower than or equal to the production speed of the following process. In this case, the production process is relatively smooth, and the connection status of adjacent production processes will be recorded as a normal connection status.

[0081] In a preferred embodiment, when counting the redundant output of each production process, the number of finished products of each production process under normal connection state is collected and recorded as the benchmark parameter;

[0082] Collect the unit production difference of adjacent production processes under normal connection status;

[0083] A first measurement function is obtained, and the benchmark parameter and the unit production difference are input into the first measurement function, and the output result of the first measurement function is recorded as the redundant output.

[0084] As mentioned above, under normal connection state, firstly, it is necessary to collect the number of finished products of each production process under normal connection state and record it as the benchmark parameter. In order to ensure the accuracy of the data, it is necessary to collect data in multiple time periods and perform weighted average processing to eliminate the influence of accidental errors. Then, it is necessary to collect the unit production difference of adjacent production processes under normal connection state. The unit production difference refers to the difference in output between two adjacent processes when producing the same product. The unit production difference is calculated by the difference in production speed under adjacent production processes. For example, if the stamping process and the welding process produce the same product, the production speed of the stamping process is 100 pieces per hour, and the production speed of the welding process is 95 pieces per hour, then the unit production difference is 5 pieces per hour. After obtaining the benchmark parameters and unit production difference, the first measurement function is introduced, and the benchmark parameters and unit production difference are used as input variables to calculate the redundant output. The expression of the first measurement function is: , where represents the redundant output, Indicates that the current output of the preceding production process is higher than that of the following production process. represents the unit production difference, Represents the prediction duration. Based on this formula, the redundant output in the subsequent production process can be determined, for example, the redundant output generated during the required time for scheduling between production processes.

[0085] In a preferred embodiment, the step of determining the allowable scheduling amount of each production process according to the redundant output includes:

[0086] S301, obtaining the demand redundancy between adjacent production processes in a normal connection state;

[0087] S302, comparing the demand redundancy and the redundancy output;

[0088] When the redundant production is greater than the required redundant quantity, the allowable scheduling quantity is set to the difference between the redundant production and the required redundant quantity;

[0089] When the redundant output is less than the required redundant output, the allowable scheduling amount is set to the entire redundant output, and the required time for the redundant output to meet the required redundant output is determined based on the unit production difference.

[0090] As described in the above steps S301-S302, the demand redundancy refers to the number of products that are additionally reserved between adjacent production processes in order to maintain production continuity and stability. It reflects the buffering effect between production links and helps to reduce the overall production stagnation caused by delays in a certain link. For example, on a certain automobile parts production line, if the redundant output of a certain process is 100 pieces, and the demand redundancy is only 80 pieces, the allowable scheduling quantity of the process can be set to 20 pieces, so as to flexibly respond to emergencies without affecting the overall production rhythm. In actual operation, first, it is necessary to clarify the specific values ​​of the redundant output and the demand redundancy, and then conduct an in-depth comparative analysis of the two. The key is to identify the relative size relationship between the two, and then provide strong support for subsequent scheduling decisions. Specifically, if the redundant output is greater than the demand redundancy, it indicates that the current production line has a certain excess capacity, which can be used to deal with potential production risks. On the contrary, if the redundant output is less than the demand redundancy, it may mean that the production line is facing greater capacity pressure, and it is necessary to determine the required time for the redundant output to meet the demand redundancy based on the unit production difference, so as to clarify the time point when the redundant output meets the allowable scheduling quantity.

[0091] In a preferred embodiment, the step of determining the required time for the redundant output to meet the required redundant output according to the unit production difference includes:

[0092] Obtain the unit production difference between adjacent production processes;

[0093] Obtain the difference between the required redundant quantity and the redundant output in adjacent production processes, and record it as the output to be supplemented;

[0094] A second calculation function is obtained, and the output to be replenished and the unit production difference are input into the second calculation function together, and the output result of the second calculation function is recorded as the demand duration.

[0095] In this implementation, when the redundant output is less than the required redundant output, the difference between the required redundant output and the redundant output under the adjacent production process is first calculated, that is, the output to be supplemented, and then the required duration can be calculated using the second calculation function, wherein the expression of the second calculation function is: , where Indicates the duration of demand, Represents the output to be replenished. By taking the output to be replenished and the unit production difference as input parameters, a relatively accurate demand duration forecast value can be obtained. For example, if the output to be replenished is 20 pieces and the unit production difference is 5 pieces per hour, the demand duration is 4 hours.

[0096] In a preferred embodiment, the step of determining the required adjustment amount of the abnormal production process according to the production deviation amount includes:

[0097] S401, obtaining the production deviation amount of the abnormal production process in the abnormal connection state;

[0098] S402, obtaining the demand redundancy of abnormal production processes;

[0099] S403, summing up the demand redundancy and production deviation of the abnormal production process, and recording the summed result as the demand adjustment amount of the abnormal production process.

[0100] As described in the above steps S401-S403, in the abnormal connection state, the production deviation and demand redundancy of the abnormal production process in the abnormal connection state must first be collected, and finally, the demand redundancy and production deviation of the abnormal production process must be summed up, and the result is the demand adjustment amount of the production process, thereby ensuring that the demand adjustment amount can meet the current production demand and does not cause excessive waste of resources.

[0101] In a preferred embodiment, the step of intelligently scheduling the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount includes:

[0102] S501, obtaining an allowable replacement process corresponding to the abnormal production process and having a normal connection state;

[0103] S502, collecting the unit production difference corresponding to the allowable replacement process in the normal connection state, and recording it as the first condition parameter;

[0104] S503, collecting the unit production difference of the abnormal production process and recording it as the second condition parameter;

[0105] S504, obtaining a prediction function, and inputting the first condition parameter and the second condition parameter into the prediction function together, and recording the output result of the prediction function as the predicted scheduling duration;

[0106] S505. Schedule the allowable replacement process according to the predicted scheduling time until the abnormal production process reaches a normal connection state.

[0107] As described in the above steps S501-S505, when performing intelligent scheduling of the allowable replacement process, it is first necessary to screen out the allowable replacement process corresponding to the abnormal production process and with a normal current connection state, and then collect the unit production difference corresponding to the allowable replacement process in the normal connection state and record it as the first condition parameter for subsequent quantitative analysis and comparison. At the same time, the unit production difference of the abnormal production process is also collected and recorded as the second condition parameter, wherein the value of the first condition parameter is greater than the second condition parameter, and the allowable replacement process corresponding to the first condition parameter can be multiple, and then introduce a preset prediction function to predict the scheduling duration of the allowable replacement process based on the first condition parameter and the second condition parameter, wherein the expression of the prediction function is: , where Indicates the predicted scheduling duration, represents the demand adjustment, represents the first condition parameter, represents the second condition parameter, It indicates the replacement time of the allowable replacement process. Then, based on the predicted scheduling time, the allowable replacement process is intelligently scheduled to ensure that the allowable replacement process can be smoothly integrated into the production process, thereby completing the adjustment of the abnormal production process.

[0108] See also Figure 2 , an intelligent scheduling system for a brake disc production line, using the above-mentioned intelligent scheduling method for a brake disc production line, comprising:

[0109] A data acquisition module is used to acquire production data of each production process of the brake disc production line, including the number of finished products, the number of semi-finished products and the production speed;

[0110] A status evaluation module, which is used to evaluate the connection status of adjacent production processes based on the production data of each production process, wherein the connection status includes a normal connection status and an abnormal connection status;

[0111] Normal execution module: The normal execution module is used to count the redundant output of each production process under normal connection status, and determine the allowable scheduling amount of each production process according to the redundant output;

[0112] The abnormal execution module is used to output the abnormal production process and the production deviation of the abnormal production process under the abnormal connection state, and determine the demand adjustment amount of the abnormal production process according to the production deviation;

[0113] Intelligent scheduling module, the intelligent scheduling module is used to obtain the allowable replacement process, and intelligently schedule the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status.

[0114] In the above, the system includes a data acquisition module, a state evaluation module, a normal execution module, an abnormal execution module and an intelligent scheduling module. The data acquisition module is responsible for collecting and capturing the production data of each production process under the brake disc production line in a comprehensive and accurate manner. The production data includes but is not limited to key indicators such as the number of finished products, the number of semi-finished products and the production speed. Through real-time and high-frequency data collection, the data acquisition module provides the system with a detailed production snapshot, laying a solid foundation for subsequent analysis and decision-making. The state evaluation module evaluates the connection status of adjacent production processes based on the production data provided by the data acquisition module. The connection status is subdivided into normal connection status and abnormal connection status. The normal connection status means smooth coordination between the processes and high production efficiency, while the abnormal connection status may be caused by various factors such as equipment failure, shortage of raw materials, improper allocation of personnel, etc., which disrupts the production rhythm. The normal execution module is responsible for optimizing Redundant output improves overall efficiency. Under normal connection status, the normal execution module first counts the redundant output of each production process, and then, based on the distribution of redundant output and combined with the overall layout and resource allocation of the production line, intelligently determines the allowable scheduling quantity of each production process. The abnormal execution module is used to identify and output abnormal production processes and their production deviations in abnormal connection status. The production deviation refers to the gap between the actual production volume and the expected target. At the same time, the demand adjustment amount of the abnormal production process is intelligently determined based on the production deviation. The intelligent scheduling module is responsible for receiving information on allowable replacement processes (that is, production processes that can be replaced or adjusted without affecting the overall production process), and intelligently scheduling the allowable replacement processes based on the allowable scheduling quantity and the demand adjustment quantity. Through dynamic adjustment and continuous optimization, it ensures that the connection status of each production process is converted to a normal connection status, thereby achieving the optimal operation of the production line.

[0115] See also Figure 3 , an intelligent scheduling device for a brake disc production line, comprising:

[0116] at least one processor;

[0117] and a memory communicatively coupled to the at least one processor;

[0118] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the above-mentioned intelligent scheduling method for the brake disc production line.

[0119] The processors of the above-mentioned intelligent dispatching equipment can be of various types, such as central processing unit (CPU), graphics processing unit (GPU) or application-specific integrated circuit (ASIC). These processors can efficiently handle complex computing tasks, ensuring the rapid response and accurate execution of the intelligent dispatching system. The memory can include random access memory (RAM), read-only memory (ROM) and solid-state drive (SSD), which are responsible for storing program code and temporary data to ensure the stable operation of the system.

[0120] Intelligent scheduling equipment also includes an arithmetic unit, input devices and output devices. The arithmetic unit is responsible for performing various mathematical and logical operations. The input devices include keyboards, mice, touch screens, etc., which are used for operators to interact with the system and input necessary instructions and data. Output devices include displays, printers, etc., which are used to present the results of system processing to managers in a visual form.

[0121] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0122] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. An intelligent scheduling method for a brake disc production line, characterized in that: include: Obtaining production data of each production process of a brake disc production line, wherein the production data includes the number of finished products, the number of semi-finished products, and the production speed; According to the production data of each production process, the connection status of adjacent production processes is evaluated, wherein the connection status includes a normal connection status and an abnormal connection status; Under the normal connection state, the redundant output of each production process is counted, and the allowable scheduling amount of each production process is determined according to the redundant output; In the abnormal connection state, the abnormal production process and the production deviation of the abnormal production process are output, and the demand adjustment amount of the abnormal production process is determined according to the production deviation; Acquire the allowable replacement process, and intelligently schedule the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status; The step of intelligently scheduling the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount includes: Acquire an allowable replacement process corresponding to the abnormal production process and whose connection state is a normal connection state; Collect the unit production difference corresponding to the allowable replacement process under the normal connection state, and record it as the first condition parameter; Collecting the unit production difference of the abnormal production process and recording it as the second condition parameter; Obtain a prediction function, input the first condition parameter and the second condition parameter into the prediction function, and record the output result of the prediction function as the predicted scheduling duration; The allowable replacement process is scheduled according to the predicted scheduling time until the abnormal production process reaches a normal connection state.

2. The intelligent scheduling method for a brake disc production line according to claim 1, characterized in that: After obtaining the production data of each production process of the brake disc production line, the production data is preprocessed, and the preprocessing includes: data cleaning, eliminating noise and abnormal values; Adding a timestamp to the preprocessed production data to determine a time feature of the production data; The production data with the timestamp added is aggregated into a preset data repository.

3. The intelligent scheduling method for a brake disc production line according to claim 1, characterized in that: The step of evaluating the connection status of adjacent production processes based on the production data of each production process includes: Constructing a monitoring period, and setting a plurality of sample periods with equal time intervals within the monitoring period; Setting a plurality of sampling nodes within the sample period, and counting the production speed of the production process under each of the sampling nodes; Marking the adjacent production processes as pre-processes and post-processes respectively according to the production process; Comparing the production speeds of the preceding process and the following process in a sample period, and outputting the production speed difference between the preceding process and the following process in the sample period; When the value of the production speed difference is positive, it indicates that the production speed of the preceding process is lower than the production speed of the succeeding process, and the connection state of the adjacent production processes is recorded as an abnormal connection state; When the value of the production speed difference is negative or zero, it indicates that the production speed of the preceding process is greater than or equal to the production speed, and the connection state of the adjacent production processes is recorded as a normal connection state; Among them, the predecessor process refers to the process that is carried out before a certain process in the production process, while the successor process refers to the process that is carried out afterwards.

4. The intelligent scheduling method for a brake disc production line according to claim 2, characterized in that: When counting the redundant output of each of the production processes, the number of finished products of each production process under the normal connection state is collected and recorded as a benchmark parameter; Collecting unit production differences of adjacent production processes under the normal connection state; A first calculation function is obtained, and the reference parameter and the unit production difference are input into the first calculation function, and an output result of the first calculation function is recorded as redundant production.

5. The intelligent scheduling method for a brake disc production line according to claim 4, characterized in that: The step of determining the allowable scheduling amount of each production process according to the redundant output includes: Obtaining the demand redundancy between adjacent production processes in the normal connection state; comparing the demand surplus and the surplus output; When the redundant production is greater than the required redundant amount, the allowable scheduling amount is set to the difference between the redundant production and the required redundant amount; When the redundant output is less than the required redundant amount, the allowable scheduling amount is set to the entire redundant output, and the required time for the redundant output to meet the required redundant amount is determined based on the unit production difference.

6. The intelligent scheduling method for a brake disc production line according to claim 5, characterized in that: The step of determining the required time for the redundant output to meet the required redundant output according to the unit production difference comprises: Obtaining the unit production difference between adjacent production processes; Obtaining the difference between the required redundant quantity and the redundant output in the adjacent production process, and recording it as the output to be supplemented; A second calculation function is obtained, and the output to be replenished and the unit production difference are input into the second calculation function together, and the output result of the second calculation function is recorded as the demand duration.

7. The intelligent scheduling method for a brake disc production line according to claim 6, characterized in that: The step of determining the required adjustment amount of the abnormal production process according to the production deviation amount includes: Obtaining the production deviation amount of the abnormal production process in the abnormal connection state; Obtaining the demand redundancy of the abnormal production process; The demand redundancy and production deviation of the abnormal production process are summed, and the sum result is recorded as the demand adjustment amount of the abnormal production process.

8. An intelligent scheduling system for a brake disc production line, characterized in that: The intelligent scheduling method for a brake disc production line according to any one of claims 1 to 7 comprises: A data acquisition module, the data acquisition module is used to acquire production data of each production process of the brake disc production line, the production data including the number of finished products, the number of semi-finished products and the production speed; A status evaluation module, the status evaluation module is used to evaluate the connection status of adjacent production processes according to the production data of each production process, wherein the connection status includes a normal connection status and an abnormal connection status; A normal execution module, wherein the normal execution module is used to count the redundant output of each of the production processes in the normal connection state, and determine the allowable scheduling amount of each production process according to the redundant output; An abnormal execution module, which is used to output an abnormal production process and a production deviation of the abnormal production process in the abnormal connection state, and determine a demand adjustment amount of the abnormal production process according to the production deviation; An intelligent scheduling module is used to obtain the allowable replacement process and intelligently schedule the allowable replacement process according to the allowable scheduling amount and the demand adjustment amount until the connection status of each production process is converted to a normal connection status.

9. An intelligent dispatching device for a brake disc production line, characterized in that: include: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent scheduling method for the brake disc production line according to any one of claims 1 to 7.

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