Moving cable production speed intelligent control method and system based on automation

Abstract

The invention relates to the technical field of production regulation and control, and discloses an automation-based intelligent control method and system for the production speed of a moving cable. According to the method, motion cable production order information and equipment state information required for producing motion cables are collected in real time, and production scheduling is carried out on the motion cable production order information based on data collected in real time, so that a motion cable production order execution queue is generated; the method comprises the steps of generating a motion cable production order execution queue, collecting time required for producing the motion cable, constructing different production decision models based on the time required for producing the motion cable, performing adjustment through a genetic algorithm based on the constructed different production decision models and the generated motion cable production order execution queue, and outputting a motion cable production order adjustment queue. And finally, executing the output motion cable production order adjustment queue, performing real-time monitoring, and recalculating the motion cable production order adjustment queue if an abnormal condition occurs, thereby improving the real-time performance of intelligent control of the motion cable production speed.

Description

Technical Field

[0001] The present invention relates to the technical field of production control, and in particular to an automated intelligent control method and system for production speed of moving cables. Background Art

[0002] With the continuous development and advancement of automated production technology, the speed of automated production is getting faster and faster, and the load of production equipment is also increasing; and long-term load operation of equipment is prone to damage to equipment and unstable production. A production speed adjustment method is needed to reasonably adjust the production speed of equipment.

[0003] The existing open patent application CN117724417A, this method obtains the completed production output within the current time node in real time through the equipment management module; and transmits the collected output data to the data processing module, and processes it through the data processing module to analyze whether the completed output has reached the corresponding predicted output. If not, the speed adjustment module will accelerate the production speed of the equipment; at the same time, the data processing module also monitors the equipment temperature and adjusts the production speed to make the equipment temperature normal; but since there is no production planning before production, and no adjustment for special circumstances, it is only adjusted by output, which has certain limitations. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides an automated intelligent control method and system for the production speed of moving cables, which has the advantages of accuracy, real-time and safety, and solves the problem that long-term load operation of the equipment may easily cause equipment damage and unstable production.

[0005] (II) Technical solution In order to solve the technical problem that the above equipment is prone to damage and unstable production due to long-term load operation, the present invention provides the following technical solutions: This embodiment discloses an automated intelligent control method for production speed of a moving cable, which specifically includes the following steps: S1. Real-time collection of motion cable production order information and equipment status information required for the production of motion cables; S2. Based on the real-time collection of motion cable production order information and the equipment status information required for producing the motion cable, production scheduling is performed on the motion cable production order information to generate a motion cable production order execution queue; S3, collecting the time required for producing the motion cable, and building different production decision models based on the collected time required for producing the motion cable; S4, based on constructing different production decision models and generating motion cable production order execution queues, calculating and adjusting through genetic algorithms, and outputting motion cable production order adjustment queues; S5. Execute the output motion cable production order adjustment queue, and monitor the equipment status information required for producing the motion cable in real time. If an abnormal situation occurs, return to step S4 to recalculate the motion cable production order adjustment queue.

[0006] The present invention collects the motion cable production order information and the equipment status information required for the production of the motion cable in real time, and performs production scheduling on the motion cable production order information based on the real-time collected data to generate a motion cable production order execution queue; then, the time required for the production of the motion cable is collected, and different production decision models are constructed based on the collected time required for the production of the motion cable; based on the different production decision models and the generated motion cable production order execution queue, a genetic algorithm is used to calculate and adjust, and a motion cable production order adjustment queue is output; finally, the output motion cable production order adjustment queue is executed and monitored in real time; if an abnormal situation occurs, the motion cable production order adjustment queue is recalculated, thereby improving the real-time performance of the intelligent control of the motion cable production speed.

[0007] Preferably, the real-time collection of the motion cable production order information and the equipment status information required for producing the motion cable comprises the following steps: The real-time collection of the motion cable production order information includes: the motion cable production order receiving time, the motion cable production order deadline, the required motion cable quantity and remarks information; The device status information required for producing the moving cable includes: device idle status information, device quantity information and required waiting time information.

[0008] Preferably, the step of performing production scheduling on the motion cable production order information based on real-time collection of motion cable production order information and equipment status information required for producing the motion cable, and generating a motion cable production order execution queue comprises the following steps: When receiving r different motion cable production order information, the motion cable production order information is sorted according to the real-time collected equipment status information required for producing the motion cable; Methods for sorting r different motion cable production order information include: Set the equipment status information matrix Ava[i,…,j], the maximum demand equipment matrix Max[i,…,j] for motion cable production, the allocated equipment matrix All[i,…,j], and the order demand equipment matrix Need[i,…,j]; Among them, the device status information matrix Ava[i,…,j]: each element represents the number of available devices of a certain type; The maximum demand device matrix Max[i,…,j] for the production of moving cables: represents the maximum demand for each type of device in the demand order; The allocated device matrix All[i,…,j]: represents the number of devices of each type that have been currently allocated to each order; The demand device matrix Need[i,…,j] for the demand order: represents the number of various devices still required for each order; When Ava[i,…,j]<Need[i,…,j], it indicates that the remaining devices are insufficient to complete the order, and the order awaits allocation; When Ava[i,…,j]≥Need[i,…,j], calculate the order sequence to complete each demand order.

[0009] The present invention collects in real time the information of the production order for moving cables and the status information of the devices required for the production of moving cables, and performs matching calculations on the status information of the devices required for the production of moving cables and the information of the production order for moving cables; at the same time, based on the matching calculations, a set of execution queues for the production order of moving cables is found to accurately complete all the production orders for moving cables, ensuring the safety of the execution of the production order for moving cables.

[0010] Preferably, the time required for the production of moving cables is collected, and constructing different production decision models based on the time required for the production of moving cables includes the following steps: S31. Set the start time of the production of moving cables, the processing time of the moving cables, and the decision variables; S32. Construct different production decision models.

[0011] Preferably, setting the start time of the production of moving cables, the processing time of the moving cables, and the decision variables includes the following steps: The decision variable formula is as follows: ; Among them, represents whether the th process of the th moving cable is processed on the device . =1 indicates that the th process of the th moving cable is processed on the device ; =0 indicates that the th process of the th moving cable is not processed on the device ; Calculate the completion time for producing motion cables; ; in, Indicates The first Process in the equipment The processing time on Indicates The first The processing start time of each process, Indicates The first The processing completion time of each process.

[0012] Preferably, the construction of different production decision models comprises the following steps: The construction period minimization decision model is as follows: ; ; in, represents the construction period minimization decision model, Indicates the estimated processing completion time of all processes of all motion cables in the current order; The production cost minimization decision model is as follows: ; ; in, represents the production cost minimization decision model, Indicates the total number of production equipment, Indicates the device Working hours, Indicates the device The labor cost, Indicates the total amount of cables that need to be moved. Represents the total amount of motion cable production process.

[0013] The present invention sets the start time for producing motion cables, the processing time for motion cables and decision variables, constructs different decision models based on the set variable data, and provides solutions for producing motion cables based on the constructed decision models, thereby improving the stability of the execution of motion cable production orders.

[0014] Preferably, the process of constructing different production decision models and generating a motion cable production order execution queue, calculating and adjusting the motion cable production order execution queue by a genetic algorithm, and outputting a motion cable production order adjustment queue comprises the following steps: S41, performing chromosome encoding on the generated motion cable production order execution queue; Collect the current idle device number and The generated motion cable production order execution queues are numbered in sequence; Set 0 as the production start device and s as the production end device. When the chromosome code string is {0,1,5,7,s; 0,3,6,9,s; 0,4,2,8,s}, it means that the 9 idle devices in the chromosome code string execute the 3 sets of motion cable production orders in turn. S42, performing population initialization; Set the initial motion cable production order queue to , Indicates Set the production order of sports cables, each set of chromosome encoding represents a set of execution data of sports cable production orders, set the population size, and the maximum number of iterations ; S43, establishing a fitness function; S44, selecting a genetic operator based on the established fitness function; S45, performing chromosome crossover on the selected genetic operator; A crossover point is randomly selected in the selected genetic operator, and a pair of new chromosome codes are generated by performing a pairwise crossover in a sequential crossover manner; The generated new chromosome code is also used as a path to participate in the iteration; S46, iteratively execute steps S42-S45 until the maximum number of iterations is reached , output motion cable production order adjustment queue.

[0015] Preferably, the step of establishing the fitness function comprises the following steps: The fitness function is set as follows: ; in, represents the fitness of the yth group of motion cable production order execution data in the initialized population; When the latest estimated completion time of the motion cable production order is less than the end time of the motion cable production order, the production cost minimization decision model is executed, otherwise the construction period minimization decision model is executed.

[0016] Preferably, the step of selecting a genetic operator based on the established fitness function comprises the following steps: By randomly selecting the genetic operator in a roulette wheel manner, the probability of each group of motion cable production order execution data being selected is proportional to the fitness, and a group of motion cable production order execution data with high fitness is selected; The probability formula for the genetic operator to be selected is as follows: , in, represents the population size, Represents the probability of selecting the yth group of motion cable production order execution data in the initialized population.

[0017] The present invention constructs different production decision models and generated motion cable production order execution queues, uses a genetic algorithm, sequentially encodes the generated motion cable production order execution queues, and constructs a fitness function to perform fitness analysis on the encoded motion cable production order execution queues. Finally, the motion cable production order adjustment queue is determined through selection, crossover and mutation operations, thereby improving the reliability of the motion cable production order adjustment.

[0018] Further, the outputted motion cable production order adjustment queue is executed, and the equipment status information required for producing the motion cable is monitored in real time, and if an abnormal situation occurs, the motion cable production order adjustment queue is recalculated by returning to step S4, which includes the following steps: When the user adjusts the production order of the motion cable during the process of adjusting the production order queue; When the user cancels the sports cable production order, the subsequent orders will be moved forward directly; When the user adjusts the end time of the motion cable production order, return to step S4 to recalculate the motion cable production order adjustment queue.

[0019] The present invention also discloses an intelligent control system for the production speed of a moving cable based on automation, which is used to implement an intelligent control method for the production speed of a moving cable based on automation. The system includes: a data acquisition module, an order queue generation module, a production decision model construction module, and a production order adjustment module; The data acquisition module is used to collect the production order information of the motion cable and the equipment status information required for producing the motion cable in real time, and transmit the collected data to the order queue generation module; The order queue generation module is used to generate a motion cable production order execution queue according to the received data; The production decision model building module is used to collect the time required for producing the motion cable, and build different production decision models based on the collected time required for producing the motion cable; The production order adjustment module is used to adjust the generated motion cable production order execution queue according to different constructed production decision models.

[0020] (III) Beneficial effects Compared with the prior art, the present invention provides an automated intelligent control method and system for the production speed of moving cables, which has the following beneficial effects: 1. The invention collects the motion cable production order information and the equipment status information required for the production of motion cables in real time, and performs production scheduling on the motion cable production order information based on the real-time collected data to generate a motion cable production order execution queue; then, the time required for the production of motion cables is collected, and different production decision models are constructed based on the collected time required for the production of motion cables; based on the constructed different production decision models and the generated motion cable production order execution queue, a genetic algorithm is used to calculate and adjust, and a motion cable production order adjustment queue is output; finally, the output motion cable production order adjustment queue is executed and monitored in real time; if an abnormal situation occurs, the motion cable production order adjustment queue is recalculated, thereby improving the real-time performance of the intelligent control of the motion cable production speed.

[0021] 2. The invention collects the motion cable production order information and the equipment status information required for the motion cable production in real time, and matches and calculates the equipment status information required for the motion cable production and the motion cable production order information; at the same time, based on the matching calculation, a group of motion cable production order execution queues are found to accurately complete all motion cable production orders, thereby ensuring the security of the motion cable production order execution.

[0022] 3. The invention sets the start time for producing motion cables, the processing time for motion cables and decision variables, and constructs different decision models based on the set variable data, and provides solutions for the production of motion cables based on the constructed decision models, thereby improving the stability of the execution of motion cable production orders.

[0023] 4. The invention constructs different production decision models and generates motion cable production order execution queues, uses genetic algorithms, encodes the generated motion cable production order execution queues in sequence, and constructs a fitness function to perform fitness analysis on the encoded motion cable production order execution queues. Finally, the motion cable production order adjustment queue is determined through selection, crossover and mutation operations, thereby improving the reliability of the motion cable production order adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the intelligent control structure of the production speed of the moving cable of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example 1 See also Figure 1 This embodiment discloses an intelligent control method for production speed of a moving cable based on automation, which specifically includes the following steps: S1. Real-time collection of motion cable production order information and equipment status information required for the production of motion cables; S2. Based on the real-time collection of motion cable production order information and the equipment status information required for producing the motion cable, production scheduling is performed on the motion cable production order information to generate a motion cable production order execution queue; S3, collecting the time required for producing the motion cable, and building different production decision models based on the collected time required for producing the motion cable; S4, based on constructing different production decision models and generating motion cable production order execution queues, calculating and adjusting through genetic algorithms, and outputting motion cable production order adjustment queues; S5, executing the output motion cable production order adjustment queue, and monitoring the equipment status information required for producing the motion cable in real time, and if an abnormal situation occurs, returning to step S4 to recalculate the motion cable production order adjustment queue; For further information, see Figure 1 , real-time collection of motion cable production order information and equipment status information required for motion cable production includes the following steps: The real-time collection of the motion cable production order information includes: the motion cable production order receiving time, the motion cable production order deadline, the required motion cable quantity and remarks information; The equipment status information required for producing the motion cable includes: equipment idle status information, equipment quantity information and required waiting time information; For further information, see Figure 1 Based on the real-time collection of motion cable production order information and the equipment status information required for the production of motion cables, the motion cable production order information is scheduled for production, and the motion cable production order execution queue is generated, which includes the following steps: When receiving r different motion cable production order information, the motion cable production order information is sorted according to the real-time collected equipment status information required for producing the motion cable; The ways to sort the information of r different production orders for motion cables include: Set up the equipment status information matrix Ava[i,…,j], the maximum demand equipment matrix Max[i,…,j] for motion cable production, the allocated equipment matrix All[i,…,j], and the order demand equipment matrix Need[i,…,j]; Among them, for the equipment status information matrix Ava[i,…,j], each element represents the number of available equipment of a certain type; The maximum demand equipment matrix Max[i,…,j] for motion cable production: represents the maximum demand of each type of equipment in the demand order; The allocated equipment matrix All[i,…,j]: represents the number of equipment of each type currently allocated to each order; The order demand equipment matrix Need[i,…,j]: represents the number of various types of equipment still required for each order; When Ava[i,…,j]<Need[i,…,j], it means that the remaining equipment is insufficient to complete the order, and the order waits to be allocated; When Ava[i,…,j]≥Need[i,…,j], calculate the order sequence to complete each demand order; For example, Within the same time period, arranged in the order of arrival of demand orders as ; First, the order of arrival and the order of demand satisfaction, Meet the condition of Ava[i,…,j]≥Need[i,…,j], so execute , when After the execution ends, All the occupied equipment is released. At this time, the value of Ava becomes [4, 3, 2]. At this time , , All meet the condition of Ava[i,…,j]≥Need[i,…,j], and execute in the order of arrival of demand orders , and calculate the execution queue of motion cable production orders iteratively in turn according to the above steps ; Furthermore, please refer to Figure 1 , collect the time required to produce motion cables, and build different production decision models based on the collected time required to produce motion cables, including the following steps: S31. Set the start time of producing motion cables, the processing time of motion cables, and decision variables; The formula for decision variables is as follows: ; in, Indicates The first Is the process on the equipment On processing, =1 means The first Process in the equipment Processing on =0 means The first Process not on equipment Processing on Calculate the completion time for producing motion cables; ; in, Indicates The first Process in the equipment The processing time on Indicates The first The processing start time of each process, Indicates The first The processing completion time of each process; S32. Construct different production decision models; The construction period minimization decision model is as follows: ; ; in, represents the construction period minimization decision model, Indicates the estimated processing completion time of all processes of all motion cables in the current order; The production cost minimization decision model is as follows: ; ; in, represents the production cost minimization decision model, Indicates the total number of production equipment, Indicates the device Working hours, Indicates the device The labor cost, Indicates the total amount of cables required to be moved. Indicates the total amount of motion cable production process; For further information, see Figure 1 ,Based on constructing different production decision models and generating motion cable production order execution queues,,calculating and adjusting through genetic algorithms, outputting motion cable production order adjustment queues includes the following steps: S41, performing chromosome encoding on the generated motion cable production order execution queue; Collect the current idle device number and The generated motion cable production order execution queues are numbered in sequence; Set 0 as the production start device and s as the production end device. When the chromosome code string is {0,1,5,7,s; 0,3,6,9,s; 0,4,2,8,s}, it means that the 9 idle devices in the chromosome code string execute the 3 sets of motion cable production orders in turn. S42, performing population initialization; Set the initial motion cable production order queue to , Indicates Set the production order of sports cables, each set of chromosome encoding represents a set of execution data of sports cable production orders, set the population size, and the maximum number of iterations ; S43, establishing a fitness function; The fitness function is set as follows: ; in, represents the fitness of the yth group of motion cable production order execution data in the initialized population; When the latest estimated completion time of the motion cable production order is less than the end time of the motion cable production order, the production cost minimization decision model is executed, otherwise the construction period minimization decision model is executed; S44, selecting a genetic operator based on the established fitness function; By randomly selecting the genetic operator in a roulette wheel manner, the probability of each group of motion cable production order execution data being selected is proportional to the fitness, and a group of motion cable production order execution data with high fitness is selected; The probability formula for the genetic operator to be selected is as follows: , in, represents the population size, represents the probability of selecting the yth group of motion cable production order execution data in the initialization population; S45, performing chromosome crossover on the selected genetic operator; A crossover point is randomly selected in the selected genetic operator, and a pair of new chromosome codes are generated by performing a pairwise crossover in a sequential crossover manner; The generated new chromosome code is also used as a path to participate in the iteration; S46, iteratively execute steps S42-S45 until the maximum number of iterations is reached , output motion cable production order adjustment queue; For further information, see Figure 1 , execute the output motion cable production order adjustment queue, and monitor the equipment status information required for producing motion cables in real time. If an abnormal situation occurs, return to step S4 to recalculate the motion cable production order adjustment queue, including the following steps: When the user adjusts the production order of the motion cable during the process of adjusting the production order queue; When the user cancels the sports cable production order, the subsequent orders will be moved forward directly; When the user adjusts the end time of the motion cable production order, return to step S4 to recalculate the motion cable production order adjustment queue; Example 2 See also Figure 1 ,This embodiment also discloses an intelligent control system for the production speed of a moving cable based on automation, which is used to implement an intelligent control method for the production speed of a moving cable based on automation. The system includes: a data acquisition module, an order queue generation module, a production decision model construction module, and a production order adjustment module; The data acquisition module is used to collect the production order information of the motion cable and the equipment status information required for producing the motion cable in real time, and transmit the collected data to the order queue generation module; The order queue generation module is used to generate a motion cable production order execution queue according to the received data; The production decision model building module is used to collect the time required for producing the motion cable, and build different production decision models based on the collected time required for producing the motion cable; The production order adjustment module is used to adjust the generated motion cable production order execution queue according to different constructed production decision models.

[0027] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control method for production speed of motion cables based on automation, characterized in that: It includes the following steps: S1. Real-time collect the production order information of the moving cable and the equipment status information required for producing the moving cable; S2. Based on the real-time collected production order information of the moving cable and the equipment status information required for producing the moving cable, perform production scheduling on the production order information of the moving cable to generate an execution queue of the production order of the moving cable; S3. Collect the time required for producing the moving cable, and build different production decision models based on the collected time required for producing the moving cable; S4. Based on the built different production decision models and the generated execution queue of the production order of the moving cable, calculate and adjust through the genetic algorithm, and output an adjusted queue of the production order of the moving cable; S5. Execute the output adjusted queue of the production order of the moving cable, and real-time monitor the equipment status information required for producing the moving cable. If an abnormal situation occurs, return to step S4 to recalculate the adjusted queue of the production order of the moving cable.

2. According to claim 1, a method for intelligently controlling the production speed of a moving cable based on automation is characterized in that: The real-time collection of the production order information of the moving cable and the equipment status information required for producing the moving cable includes the following steps: The real-time collection of the production order information of the moving cable includes: the receiving time of the production order of the moving cable, the deadline of the production order of the moving cable, the required quantity of the moving cable, and the remarks information; The equipment status information required for producing the moving cable includes: equipment idle status information, equipment quantity information, and required waiting time information.

3. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 1 is characterized in that: The performing production scheduling on the production order information of the moving cable based on the real-time collected production order information of the moving cable and the equipment status information required for producing the moving cable to generate an execution queue of the production order of the moving cable includes the following steps: When receiving r different production order information of the moving cable, sort the production order information of the moving cable according to the real-time collected equipment status information required for producing the moving cable; The methods for sorting r different production order information of the moving cable include: Set the equipment status information matrix Ava[i,…,j], the maximum demand equipment matrix Max[i,…,j] for the production of the moving cable, the allocated equipment matrix All[i,…,j], and the order demand equipment matrix Need[i,…,j]; Among them, the equipment status information matrix Ava[i,…,j]: each element represents the number of a type of available equipment; The maximum demand equipment matrix Max[i,…,j] for the production of the moving cable: represents the maximum demand of each type of equipment in the demand order; The allocated equipment matrix All[i,…,j]: represents the number of equipment of each type currently allocated to each order; The order demand equipment matrix Need[i,…,j]: represents the number of various types of equipment still required for each order; When Ava[i,…,j]<Need[i,…,j], it means that the remaining equipment is insufficient to complete the order, and the order is waiting to be allocated; When Ava[i,…,j]≥Need[i,…,j], calculate the order sequence to complete each demand order.

4. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 1 is characterized in that: The collecting the time required for producing the moving cable and building different production decision models based on the collected time required for producing the moving cable includes the following steps: S31, setting the start time of producing the motion cable, the motion cable processing time and the decision variables; S32. Construct different production decision models.

5. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 4 is characterized in that: The setting of the production start time of the motion cable, the motion cable processing time and the decision variables comprises the following steps: The decision variable formula is as follows: ； in, Indicates The first Is the process on the equipment On processing, =1 means The first Process in the equipment Processing on =0 means The first Process not on equipment Processing on Calculate the completion time for producing motion cables; ； in, Indicates The first Process in the equipment The processing time on Indicates The first The processing start time of each process, Indicates The first The processing completion time of each process.

6. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 4 is characterized in that: The construction of different production decision models includes the following steps: The construction period minimization decision model is as follows: ； ； in, represents the construction period minimization decision model, Indicates the estimated processing completion time of all processes of all motion cables in the current order; The production cost minimization decision model is as follows: ； ； in, represents the production cost minimization decision model, Indicates the total number of production equipment, Indicates the device Working hours, Indicates the device The labor cost, Indicates the total amount of cables that need to be moved. Represents the total amount of motion cable production process.

7. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 1 is characterized in that: The method of constructing different production decision models and generating a motion cable production order execution queue, calculating and adjusting by a genetic algorithm, and outputting a motion cable production order adjustment queue comprises the following steps: S41, performing chromosome encoding on the generated motion cable production order execution queue; Collect the current idle device number and The generated motion cable production order execution queues are numbered in sequence; Set 0 as the production start device and s as the production end device. When the chromosome code string is {0,1,5,7,s; 0,3,6,9,s; 0,4,2,8,s}, it means that the 9 idle devices in the chromosome code string execute the 3 sets of motion cable production orders in turn. S42, performing population initialization; Set the initial motion cable production order queue to , Indicates Set the production order of sports cables, each set of chromosome encoding represents a set of execution data of sports cable production orders, set the population size, and the maximum number of iterations ; S43, establishing a fitness function; S44, selecting a genetic operator based on the established fitness function; S45, performing chromosome crossover on the selected genetic operator; A crossover point is randomly selected in the selected genetic operator, and a pair of new chromosome codes are generated by performing a pairwise crossover in a sequential crossover manner; The generated new chromosome code is also used as a path to participate in the iteration; S46, iteratively execute steps S42-S45 until the maximum number of iterations is reached , output motion cable production order adjustment queue.

8. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 7 is characterized in that: The establishment of the fitness function comprises the following steps: The fitness function is set as follows: ； in, represents the fitness of the yth group of motion cable production order execution data in the initialized population; When the latest estimated completion time of the motion cable production order is less than the end time of the motion cable production order, the production cost minimization decision model is executed, otherwise the construction period minimization decision model is executed.

9. The method for intelligently controlling the production speed of a moving cable based on automation according to claim 7, characterized in that: The step of selecting a genetic operator based on the established fitness function comprises the following steps: By randomly selecting the genetic operator in a roulette wheel manner, the probability of each group of motion cable production order execution data being selected is proportional to the fitness, and a group of motion cable production order execution data with high fitness is selected; The probability formula for the genetic operator to be selected is as follows: ， in, represents the population size, Represents the probability of selecting the yth group of motion cable production order execution data in the initialized population.

10. A system for implementing the method for intelligently controlling the production speed of a moving cable based on automation according to any one of claims 1 to 9, characterized in that: include: Data collection module, order queue generation module, production decision model building module and production order adjustment module; The data acquisition module is used to collect the production order information of the motion cable and the equipment status information required for producing the motion cable in real time, and transmit the collected data to the order queue generation module; The order queue generation module is used to generate a motion cable production order execution queue according to the received data; The production decision model building module is used to collect the time required for producing the motion cable, and build different production decision models based on the collected time required for producing the motion cable; The production order adjustment module is used to adjust the generated motion cable production order execution queue according to different constructed production decision models.

Images